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Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

• Your overall aims and approach
• The type of research design you’ll use
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

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How to Write a Research Design – Guide with Examples

Published by Alaxendra Bets at August 14th, 2021 , Revised On June 24, 2024

A research design is a structure that combines different components of research. It involves the use of different data collection and data analysis techniques logically to answer the  research questions .

It would be best to make some decisions about addressing the research questions adequately before starting the research process, which is achieved with the help of the research design.

Below are the key aspects of the decision-making process:

• Data type required for research
• Research resources
• Participants required for research
• Hypothesis based upon research question(s)
• Data analysis  methodologies
• Variables (Independent, dependent, and confounding)
• The location and timescale for conducting the data
• The time period required for research

The research design provides the strategy of investigation for your project. Furthermore, it defines the parameters and criteria to compile the data to evaluate results and conclude.

Your project’s validity depends on the data collection and  interpretation techniques.  A strong research design reflects a strong  dissertation , scientific paper, or research proposal .

Step 1: Establish Priorities for Research Design

Before conducting any research study, you must address an important question: “how to create a research design.”

The research design depends on the researcher’s priorities and choices because every research has different priorities. For a complex research study involving multiple methods, you may choose to have more than one research design.

Multimethodology or multimethod research includes using more than one data collection method or research in a research study or set of related studies.

If one research design is weak in one area, then another research design can cover that weakness. For instance, a  dissertation analyzing different situations or cases will have more than one research design.

For example:

• Experimental research involves experimental investigation and laboratory experience, but it does not accurately investigate the real world.
• Quantitative research is good for the  statistical part of the project, but it may not provide an in-depth understanding of the  topic .
• Also, correlational research will not provide experimental results because it is a technique that assesses the statistical relationship between two variables.

While scientific considerations are a fundamental aspect of the research design, It is equally important that the researcher think practically before deciding on its structure. Here are some questions that you should think of;

• Do you have enough time to gather data and complete the write-up?
• Will you be able to collect the necessary data by interviewing a specific person or visiting a specific location?
• Do you have in-depth knowledge about the  different statistical analysis and data collection techniques to address the research questions  or test the  hypothesis ?

If you think that the chosen research design cannot answer the research questions properly, you can refine your research questions to gain better insight.

Step 2: Data Type you Need for Research

Decide on the type of data you need for your research. The type of data you need to collect depends on your research questions or research hypothesis. Two types of research data can be used to answer the research questions:

Primary Data Vs. Secondary Data

Qualitative Vs. Quantitative Data

Also, see; Research methods, design, and analysis .

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Step 3: Data Collection Techniques

Once you have selected the type of research to answer your research question, you need to decide where and how to collect the data.

It is time to determine your research method to address the  research problem . Research methods involve procedures, techniques, materials, and tools used for the study.

For instance, a dissertation research design includes the different resources and data collection techniques and helps establish your  dissertation’s structure .

The following table shows the characteristics of the most popularly employed research methods.

Research Methods

Step 4: Procedure of Data Analysis

Use of the  correct data and statistical analysis technique is necessary for the validity of your research. Therefore, you need to be certain about the data type that would best address the research problem. Choosing an appropriate analysis method is the final step for the research design. It can be split into two main categories;

Quantitative Data Analysis

The quantitative data analysis technique involves analyzing the numerical data with the help of different applications such as; SPSS, STATA, Excel, origin lab, etc.

This data analysis strategy tests different variables such as spectrum, frequencies, averages, and more. The research question and the hypothesis must be established to identify the variables for testing.

Qualitative Data Analysis

Qualitative data analysis of figures, themes, and words allows for flexibility and the researcher’s subjective opinions. This means that the researcher’s primary focus will be interpreting patterns, tendencies, and accounts and understanding the implications and social framework.

You should be clear about your research objectives before starting to analyze the data. For example, you should ask yourself whether you need to explain respondents’ experiences and insights or do you also need to evaluate their responses with reference to a certain social framework.

Step 5: Write your Research Proposal

The research design is an important component of a research proposal because it plans the project’s execution. You can share it with the supervisor, who would evaluate the feasibility and capacity of the results  and  conclusion .

Read our guidelines to write a research proposal  if you have already formulated your research design. The research proposal is written in the future tense because you are writing your proposal before conducting research.

The  research methodology  or research design, on the other hand, is generally written in the past tense.

How to Write a Research Design – Conclusion

A research design is the plan, structure, strategy of investigation conceived to answer the research question and test the hypothesis. The dissertation research design can be classified based on the type of data and the type of analysis.

Above mentioned five steps are the answer to how to write a research design. So, follow these steps to  formulate the perfect research design for your dissertation .

ResearchProspect writers have years of experience creating research designs that align with the dissertation’s aim and objectives. If you are struggling with your dissertation methodology chapter, you might want to look at our dissertation part-writing service.

Our dissertation writers can also help you with the full dissertation paper . No matter how urgent or complex your need may be, ResearchProspect can help. We also offer PhD level research paper writing services.

Frequently Asked Questions

What is research design.

Research design is a systematic plan that guides the research process, outlining the methodology and procedures for collecting and analysing data. It determines the structure of the study, ensuring the research question is answered effectively, reliably, and validly. It serves as the blueprint for the entire research project.

How to write a research design?

To write a research design, define your research question, identify the research method (qualitative, quantitative, or mixed), choose data collection techniques (e.g., surveys, interviews), determine the sample size and sampling method, outline data analysis procedures, and highlight potential limitations and ethical considerations for the study.

How to write the design section of a research paper?

In the design section of a research paper, describe the research methodology chosen and justify its selection. Outline the data collection methods, participants or samples, instruments used, and procedures followed. Detail any experimental controls, if applicable. Ensure clarity and precision to enable replication of the study by other researchers.

How to write a research design in methodology?

To write a research design in methodology, clearly outline the research strategy (e.g., experimental, survey, case study). Describe the sampling technique, participants, and data collection methods. Detail the procedures for data collection and analysis. Justify choices by linking them to research objectives, addressing reliability and validity.

You May Also Like

Make sure that your selected topic is intriguing, manageable, and relevant. Here are some guidelines to help understand how to find a good dissertation topic.

Find how to write research questions with the mentioned steps required for a perfect research question. Choose an interesting topic and begin your research.

How to write a hypothesis for dissertation,? A hypothesis is a statement that can be tested with the help of experimental or theoretical research.

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What is Research Design? Understand Types of Research Design, with Examples

Have you been wondering “ what is research design ?” or “what are some research design examples ?” Are you unsure about the research design elements or which of the different types of research design best suit your study? Don’t worry! In this article, we’ve got you covered!   

Table of Contents

What is research design?  

Have you been wondering “ what is research design ?” or “what are some research design examples ?” Don’t worry! In this article, we’ve got you covered!  

A research design is the plan or framework used to conduct a research study. It involves outlining the overall approach and methods that will be used to collect and analyze data in order to answer research questions or test hypotheses. A well-designed research study should have a clear and well-defined research question, a detailed plan for collecting data, and a method for analyzing and interpreting the results. A well-thought-out research design addresses all these features.  

Research design elements  

Research design elements include the following:  

• Clear purpose: The research question or hypothesis must be clearly defined and focused.  
• Sampling: This includes decisions about sample size, sampling method, and criteria for inclusion or exclusion. The approach varies for different research design types .  
• Data collection: This research design element involves the process of gathering data or information from the study participants or sources. It includes decisions about what data to collect, how to collect it, and the tools or instruments that will be used.  
• Data analysis: All research design types require analysis and interpretation of the data collected. This research design element includes decisions about the statistical tests or methods that will be used to analyze the data, as well as any potential confounding variables or biases that may need to be addressed.  
• Type of research methodology: This includes decisions about the overall approach for the study.  
• Time frame: An important research design element is the time frame, which includes decisions about the duration of the study, the timeline for data collection and analysis, and follow-up periods.  
• Ethical considerations: The research design must include decisions about ethical considerations such as informed consent, confidentiality, and participant protection.  
• Resources: A good research design takes into account decisions about the budget, staffing, and other resources needed to carry out the study.  

The elements of research design should be carefully planned and executed to ensure the validity and reliability of the study findings. Let’s go deeper into the concepts of research design .    

Characteristics of research design  

Some basic characteristics of research design are common to different research design types . These characteristics of research design are as follows:  

• Neutrality : Right from the study assumptions to setting up the study, a neutral stance must be maintained, free of pre-conceived notions. The researcher’s expectations or beliefs should not color the findings or interpretation of the findings. Accordingly, a good research design should address potential sources of bias and confounding factors to be able to yield unbiased and neutral results.   
•   Reliability : Reliability is one of the characteristics of research design that refers to consistency in measurement over repeated measures and fewer random errors. A reliable research design must allow for results to be consistent, with few errors due to chance.   
•   Validity : Validity refers to the minimization of nonrandom (systematic) errors. A good research design must employ measurement tools that ensure validity of the results.  
•   Generalizability: The outcome of the research design should be applicable to a larger population and not just a small sample . A generalized method means the study can be conducted on any part of a population with similar accuracy.   
•   Flexibility: A research design should allow for changes to be made to the research plan as needed, based on the data collected and the outcomes of the study  

A well-planned research design is critical for conducting a scientifically rigorous study that will generate neutral, reliable, valid, and generalizable results. At the same time, it should allow some level of flexibility.  

Different types of research design  

A research design is essential to systematically investigate, understand, and interpret phenomena of interest. Let’s look at different types of research design and research design examples .  

Broadly, research design types can be divided into qualitative and quantitative research.  

Qualitative research is subjective and exploratory. It determines relationships between collected data and observations. It is usually carried out through interviews with open-ended questions, observations that are described in words, etc.  

Quantitative research is objective and employs statistical approaches. It establishes the cause-and-effect relationship among variables using different statistical and computational methods. This type of research is usually done using surveys and experiments.  

Qualitative research vs. Quantitative research  

Qualitative research design types and qualitative research design examples  

The following will familiarize you with the research design categories in qualitative research:  

• Grounded theory: This design is used to investigate research questions that have not previously been studied in depth. Also referred to as exploratory design , it creates sequential guidelines, offers strategies for inquiry, and makes data collection and analysis more efficient in qualitative research.   

Example: A researcher wants to study how people adopt a certain app. The researcher collects data through interviews and then analyzes the data to look for patterns. These patterns are used to develop a theory about how people adopt that app.  

•   Thematic analysis: This design is used to compare the data collected in past research to find similar themes in qualitative research.  

Example: A researcher examines an interview transcript to identify common themes, say, topics or patterns emerging repeatedly.  

• Discourse analysis : This research design deals with language or social contexts used in data gathering in qualitative research.   

Example: Identifying ideological frameworks and viewpoints of writers of a series of policies.  

Quantitative research design types and quantitative research design examples  

Note the following research design categories in quantitative research:  

• Descriptive research design : This quantitative research design is applied where the aim is to identify characteristics, frequencies, trends, and categories. It may not often begin with a hypothesis. The basis of this research type is a description of an identified variable. This research design type describes the “what,” “when,” “where,” or “how” of phenomena (but not the “why”).   

Example: A study on the different income levels of people who use nutritional supplements regularly.  

• Correlational research design : Correlation reflects the strength and/or direction of the relationship among variables. The direction of a correlation can be positive or negative. Correlational research design helps researchers establish a relationship between two variables without the researcher controlling any of them.  

Example : An example of correlational research design could be studying the correlation between time spent watching crime shows and aggressive behavior in teenagers.  

•   Diagnostic research design : In diagnostic design, the researcher aims to understand the underlying cause of a specific topic or phenomenon (usually an area of improvement) and find the most effective solution. In simpler terms, a researcher seeks an accurate “diagnosis” of a problem and identifies a solution.  

Example : A researcher analyzing customer feedback and reviews to identify areas where an app can be improved.    

• Explanatory research design : In explanatory research design , a researcher uses their ideas and thoughts on a topic to explore their theories in more depth. This design is used to explore a phenomenon when limited information is available. It can help increase current understanding of unexplored aspects of a subject. It is thus a kind of “starting point” for future research.  

Example : Formulating hypotheses to guide future studies on delaying school start times for better mental health in teenagers.  

•   Causal research design : This can be considered a type of explanatory research. Causal research design seeks to define a cause and effect in its data. The researcher does not use a randomly chosen control group but naturally or pre-existing groupings. Importantly, the researcher does not manipulate the independent variable.   

Example : Comparing school dropout levels and possible bullying events.  

•   Experimental research design : This research design is used to study causal relationships . One or more independent variables are manipulated, and their effect on one or more dependent variables is measured.  

Example: Determining the efficacy of a new vaccine plan for influenza.  

Benefits of research design  

 T here are numerous benefits of research design . These are as follows:  

• Clear direction: Among the benefits of research design , the main one is providing direction to the research and guiding the choice of clear objectives, which help the researcher to focus on the specific research questions or hypotheses they want to investigate.  
• Control: Through a proper research design , researchers can control variables, identify potential confounding factors, and use randomization to minimize bias and increase the reliability of their findings.
• Replication: Research designs provide the opportunity for replication. This helps to confirm the findings of a study and ensures that the results are not due to chance or other factors. Thus, a well-chosen research design also eliminates bias and errors.  
• Validity: A research design ensures the validity of the research, i.e., whether the results truly reflect the phenomenon being investigated.  
• Reliability: Benefits of research design also include reducing inaccuracies and ensuring the reliability of the research (i.e., consistency of the research results over time, across different samples, and under different conditions).  
• Efficiency: A strong research design helps increase the efficiency of the research process. Researchers can use a variety of designs to investigate their research questions, choose the most appropriate research design for their study, and use statistical analysis to make the most of their data. By effectively describing the data necessary for an adequate test of the hypotheses and explaining how such data will be obtained, research design saves a researcher’s time.   

Overall, an appropriately chosen and executed research design helps researchers to conduct high-quality research, draw meaningful conclusions, and contribute to the advancement of knowledge in their field.

Frequently Asked Questions (FAQ) on Research Design

Q: What are th e main types of research design?

Broadly speaking there are two basic types of research design –

qualitative and quantitative research. Qualitative research is subjective and exploratory; it determines relationships between collected data and observations. It is usually carried out through interviews with open-ended questions, observations that are described in words, etc. Quantitative research , on the other hand, is more objective and employs statistical approaches. It establishes the cause-and-effect relationship among variables using different statistical and computational methods. This type of research design is usually done using surveys and experiments.

Q: How do I choose the appropriate research design for my study?

Choosing the appropriate research design for your study requires careful consideration of various factors. Start by clarifying your research objectives and the type of data you need to collect. Determine whether your study is exploratory, descriptive, or experimental in nature. Consider the availability of resources, time constraints, and the feasibility of implementing the different research designs. Review existing literature to identify similar studies and their research designs, which can serve as a guide. Ultimately, the chosen research design should align with your research questions, provide the necessary data to answer them, and be feasible given your own specific requirements/constraints.

Q: Can research design be modified during the course of a study?

Yes, research design can be modified during the course of a study based on emerging insights, practical constraints, or unforeseen circumstances. Research is an iterative process and, as new data is collected and analyzed, it may become necessary to adjust or refine the research design. However, any modifications should be made judiciously and with careful consideration of their impact on the study’s integrity and validity. It is advisable to document any changes made to the research design, along with a clear rationale for the modifications, in order to maintain transparency and allow for proper interpretation of the results.

Q: How can I ensure the validity and reliability of my research design?

Validity refers to the accuracy and meaningfulness of your study’s findings, while reliability relates to the consistency and stability of the measurements or observations. To enhance validity, carefully define your research variables, use established measurement scales or protocols, and collect data through appropriate methods. Consider conducting a pilot study to identify and address any potential issues before full implementation. To enhance reliability, use standardized procedures, conduct inter-rater or test-retest reliability checks, and employ appropriate statistical techniques for data analysis. It is also essential to document and report your methodology clearly, allowing for replication and scrutiny by other researchers.

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Research Design – Types, Methods and Examples

Table of Contents

Research Design

Definition:

Research design refers to the overall strategy or plan for conducting a research study. It outlines the methods and procedures that will be used to collect and analyze data, as well as the goals and objectives of the study. Research design is important because it guides the entire research process and ensures that the study is conducted in a systematic and rigorous manner.

Types of Research Design

Types of Research Design are as follows:

Descriptive Research Design

This type of research design is used to describe a phenomenon or situation. It involves collecting data through surveys, questionnaires, interviews, and observations. The aim of descriptive research is to provide an accurate and detailed portrayal of a particular group, event, or situation. It can be useful in identifying patterns, trends, and relationships in the data.

Correlational Research Design

Correlational research design is used to determine if there is a relationship between two or more variables. This type of research design involves collecting data from participants and analyzing the relationship between the variables using statistical methods. The aim of correlational research is to identify the strength and direction of the relationship between the variables.

Experimental Research Design

Experimental research design is used to investigate cause-and-effect relationships between variables. This type of research design involves manipulating one variable and measuring the effect on another variable. It usually involves randomly assigning participants to groups and manipulating an independent variable to determine its effect on a dependent variable. The aim of experimental research is to establish causality.

Quasi-experimental Research Design

Quasi-experimental research design is similar to experimental research design, but it lacks one or more of the features of a true experiment. For example, there may not be random assignment to groups or a control group. This type of research design is used when it is not feasible or ethical to conduct a true experiment.

Case Study Research Design

Case study research design is used to investigate a single case or a small number of cases in depth. It involves collecting data through various methods, such as interviews, observations, and document analysis. The aim of case study research is to provide an in-depth understanding of a particular case or situation.

Longitudinal Research Design

Longitudinal research design is used to study changes in a particular phenomenon over time. It involves collecting data at multiple time points and analyzing the changes that occur. The aim of longitudinal research is to provide insights into the development, growth, or decline of a particular phenomenon over time.

Structure of Research Design

The format of a research design typically includes the following sections:

• Introduction : This section provides an overview of the research problem, the research questions, and the importance of the study. It also includes a brief literature review that summarizes previous research on the topic and identifies gaps in the existing knowledge.
• Research Questions or Hypotheses: This section identifies the specific research questions or hypotheses that the study will address. These questions should be clear, specific, and testable.
• Research Methods : This section describes the methods that will be used to collect and analyze data. It includes details about the study design, the sampling strategy, the data collection instruments, and the data analysis techniques.
• Data Collection: This section describes how the data will be collected, including the sample size, data collection procedures, and any ethical considerations.
• Data Analysis: This section describes how the data will be analyzed, including the statistical techniques that will be used to test the research questions or hypotheses.
• Results : This section presents the findings of the study, including descriptive statistics and statistical tests.
• Discussion and Conclusion : This section summarizes the key findings of the study, interprets the results, and discusses the implications of the findings. It also includes recommendations for future research.
• References : This section lists the sources cited in the research design.

Example of Research Design

An Example of Research Design could be:

Research question: Does the use of social media affect the academic performance of high school students?

Research design:

• Research approach : The research approach will be quantitative as it involves collecting numerical data to test the hypothesis.
• Research design : The research design will be a quasi-experimental design, with a pretest-posttest control group design.
• Sample : The sample will be 200 high school students from two schools, with 100 students in the experimental group and 100 students in the control group.
• Data collection : The data will be collected through surveys administered to the students at the beginning and end of the academic year. The surveys will include questions about their social media usage and academic performance.
• Data analysis : The data collected will be analyzed using statistical software. The mean scores of the experimental and control groups will be compared to determine whether there is a significant difference in academic performance between the two groups.
• Limitations : The limitations of the study will be acknowledged, including the fact that social media usage can vary greatly among individuals, and the study only focuses on two schools, which may not be representative of the entire population.
• Ethical considerations: Ethical considerations will be taken into account, such as obtaining informed consent from the participants and ensuring their anonymity and confidentiality.

How to Write Research Design

Writing a research design involves planning and outlining the methodology and approach that will be used to answer a research question or hypothesis. Here are some steps to help you write a research design:

• Define the research question or hypothesis : Before beginning your research design, you should clearly define your research question or hypothesis. This will guide your research design and help you select appropriate methods.
• Select a research design: There are many different research designs to choose from, including experimental, survey, case study, and qualitative designs. Choose a design that best fits your research question and objectives.
• Develop a sampling plan : If your research involves collecting data from a sample, you will need to develop a sampling plan. This should outline how you will select participants and how many participants you will include.
• Define variables: Clearly define the variables you will be measuring or manipulating in your study. This will help ensure that your results are meaningful and relevant to your research question.
• Choose data collection methods : Decide on the data collection methods you will use to gather information. This may include surveys, interviews, observations, experiments, or secondary data sources.
• Create a data analysis plan: Develop a plan for analyzing your data, including the statistical or qualitative techniques you will use.
• Consider ethical concerns : Finally, be sure to consider any ethical concerns related to your research, such as participant confidentiality or potential harm.

When to Write Research Design

Research design should be written before conducting any research study. It is an important planning phase that outlines the research methodology, data collection methods, and data analysis techniques that will be used to investigate a research question or problem. The research design helps to ensure that the research is conducted in a systematic and logical manner, and that the data collected is relevant and reliable.

Ideally, the research design should be developed as early as possible in the research process, before any data is collected. This allows the researcher to carefully consider the research question, identify the most appropriate research methodology, and plan the data collection and analysis procedures in advance. By doing so, the research can be conducted in a more efficient and effective manner, and the results are more likely to be valid and reliable.

Purpose of Research Design

The purpose of research design is to plan and structure a research study in a way that enables the researcher to achieve the desired research goals with accuracy, validity, and reliability. Research design is the blueprint or the framework for conducting a study that outlines the methods, procedures, techniques, and tools for data collection and analysis.

Some of the key purposes of research design include:

• Providing a clear and concise plan of action for the research study.
• Ensuring that the research is conducted ethically and with rigor.
• Maximizing the accuracy and reliability of the research findings.
• Minimizing the possibility of errors, biases, or confounding variables.
• Ensuring that the research is feasible, practical, and cost-effective.
• Determining the appropriate research methodology to answer the research question(s).
• Identifying the sample size, sampling method, and data collection techniques.
• Determining the data analysis method and statistical tests to be used.
• Facilitating the replication of the study by other researchers.
• Enhancing the validity and generalizability of the research findings.

Applications of Research Design

There are numerous applications of research design in various fields, some of which are:

• Social sciences: In fields such as psychology, sociology, and anthropology, research design is used to investigate human behavior and social phenomena. Researchers use various research designs, such as experimental, quasi-experimental, and correlational designs, to study different aspects of social behavior.
• Education : Research design is essential in the field of education to investigate the effectiveness of different teaching methods and learning strategies. Researchers use various designs such as experimental, quasi-experimental, and case study designs to understand how students learn and how to improve teaching practices.
• Health sciences : In the health sciences, research design is used to investigate the causes, prevention, and treatment of diseases. Researchers use various designs, such as randomized controlled trials, cohort studies, and case-control studies, to study different aspects of health and healthcare.
• Business : Research design is used in the field of business to investigate consumer behavior, marketing strategies, and the impact of different business practices. Researchers use various designs, such as survey research, experimental research, and case studies, to study different aspects of the business world.
• Engineering : In the field of engineering, research design is used to investigate the development and implementation of new technologies. Researchers use various designs, such as experimental research and case studies, to study the effectiveness of new technologies and to identify areas for improvement.

Advantages of Research Design

Here are some advantages of research design:

• Systematic and organized approach : A well-designed research plan ensures that the research is conducted in a systematic and organized manner, which makes it easier to manage and analyze the data.
• Clear objectives: The research design helps to clarify the objectives of the study, which makes it easier to identify the variables that need to be measured, and the methods that need to be used to collect and analyze data.
• Minimizes bias: A well-designed research plan minimizes the chances of bias, by ensuring that the data is collected and analyzed objectively, and that the results are not influenced by the researcher’s personal biases or preferences.
• Efficient use of resources: A well-designed research plan helps to ensure that the resources (time, money, and personnel) are used efficiently and effectively, by focusing on the most important variables and methods.
• Replicability: A well-designed research plan makes it easier for other researchers to replicate the study, which enhances the credibility and reliability of the findings.
• Validity: A well-designed research plan helps to ensure that the findings are valid, by ensuring that the methods used to collect and analyze data are appropriate for the research question.
• Generalizability : A well-designed research plan helps to ensure that the findings can be generalized to other populations, settings, or situations, which increases the external validity of the study.

Research Design Vs Research Methodology

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Organizing Academic Research Papers: Types of Research Designs

• Purpose of Guide
• Design Flaws to Avoid
• Glossary of Research Terms
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Executive Summary
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tertiary Sources
• What Is Scholarly vs. Popular?
• Qualitative Methods
• Quantitative Methods
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Annotated Bibliography
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• How to Manage Group Projects
• Multiple Book Review Essay
• Reviewing Collected Essays
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Research Proposal
• Acknowledgements

Introduction

Before beginning your paper, you need to decide how you plan to design the study .

The research design refers to the overall strategy that you choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring you will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of data. Note that your research problem determines the type of design you can use, not the other way around!

General Structure and Writing Style

Action research design, case study design, causal design, cohort design, cross-sectional design, descriptive design, experimental design, exploratory design, historical design, longitudinal design, observational design, philosophical design, sequential design.

Kirshenblatt-Gimblett, Barbara. Part 1, What Is Research Design? The Context of Design. Performance Studies Methods Course syllabus . New York University, Spring 2006; Trochim, William M.K. Research Methods Knowledge Base . 2006.

The function of a research design is to ensure that the evidence obtained enables you to effectively address the research problem as unambiguously as possible. In social sciences research, obtaining evidence relevant to the research problem generally entails specifying the type of evidence needed to test a theory, to evaluate a program, or to accurately describe a phenomenon. However, researchers can often begin their investigations far too early, before they have thought critically about about what information is required to answer the study's research questions. Without attending to these design issues beforehand, the conclusions drawn risk being weak and unconvincing and, consequently, will fail to adequate address the overall research problem.

 Given this, the length and complexity of research designs can vary considerably, but any sound design will do the following things:

• Identify the research problem clearly and justify its selection,
• Review previously published literature associated with the problem area,
• Clearly and explicitly specify hypotheses [i.e., research questions] central to the problem selected,
• Effectively describe the data which will be necessary for an adequate test of the hypotheses and explain how such data will be obtained, and
• Describe the methods of analysis which will be applied to the data in determining whether or not the hypotheses are true or false.

Kirshenblatt-Gimblett, Barbara. Part 1, What Is Research Design? The Context of Design. Performance Studies Methods Course syllabus . New Yortk University, Spring 2006.

Definition and Purpose

The essentials of action research design follow a characteristic cycle whereby initially an exploratory stance is adopted, where an understanding of a problem is developed and plans are made for some form of interventionary strategy. Then the intervention is carried out (the action in Action Research) during which time, pertinent observations are collected in various forms. The new interventional strategies are carried out, and the cyclic process repeats, continuing until a sufficient understanding of (or implement able solution for) the problem is achieved. The protocol is iterative or cyclical in nature and is intended to foster deeper understanding of a given situation, starting with conceptualizing and particularizing the problem and moving through several interventions and evaluations.

What do these studies tell you?

• A collaborative and adaptive research design that lends itself to use in work or community situations.
• Design focuses on pragmatic and solution-driven research rather than testing theories.
• When practitioners use action research it has the potential to increase the amount they learn consciously from their experience. The action research cycle can also be regarded as a learning cycle.
• Action search studies often have direct and obvious relevance to practice.
• There are no hidden controls or preemption of direction by the researcher.

What these studies don't tell you?

• It is harder to do than conducting conventional studies because the researcher takes on responsibilities for encouraging change as well as for research.
• Action research is much harder to write up because you probably can’t use a standard format to report your findings effectively.
• Personal over-involvement of the researcher may bias research results.
• The cyclic nature of action research to achieve its twin outcomes of action (e.g. change) and research (e.g. understanding) is time-consuming and complex to conduct.

Gall, Meredith. Educational Research: An Introduction . Chapter 18, Action Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Kemmis, Stephen and Robin McTaggart. “Participatory Action Research.” In Handbook of Qualitative Research . Norman Denzin and Yvonna S. Locoln, eds. 2nd ed. (Thousand Oaks, CA: SAGE, 2000), pp. 567-605.; Reason, Peter and Hilary Bradbury. Handbook of Action Research: Participative Inquiry and Practice . Thousand Oaks, CA: SAGE, 2001.

A case study is an in-depth study of a particular research problem rather than a sweeping statistical survey. It is often used to narrow down a very broad field of research into one or a few easily researchable examples. The case study research design is also useful for testing whether a specific theory and model actually applies to phenomena in the real world. It is a useful design when not much is known about a phenomenon.

• Approach excels at bringing us to an understanding of a complex issue through detailed contextual analysis of a limited number of events or conditions and their relationships.
• A researcher using a case study design can apply a vaiety of methodologies and rely on a variety of sources to investigate a research problem.
• Design can extend experience or add strength to what is already known through previous research.
• Social scientists, in particular, make wide use of this research design to examine contemporary real-life situations and provide the basis for the application of concepts and theories and extension of methods.
• The design can provide detailed descriptions of specific and rare cases.
• A single or small number of cases offers little basis for establishing reliability or to generalize the findings to a wider population of people, places, or things.
• The intense exposure to study of the case may bias a researcher's interpretation of the findings.
• Design does not facilitate assessment of cause and effect relationships.
• Vital information may be missing, making the case hard to interpret.
• The case may not be representative or typical of the larger problem being investigated.
• If the criteria for selecting a case is because it represents a very unusual or unique phenomenon or problem for study, then your intepretation of the findings can only apply to that particular case.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 4, Flexible Methods: Case Study Design. 2nd ed. New York: Columbia University Press, 1999; Stake, Robert E. The Art of Case Study Research . Thousand Oaks, CA: SAGE, 1995; Yin, Robert K. Case Study Research: Design and Theory . Applied Social Research Methods Series, no. 5. 3rd ed. Thousand Oaks, CA: SAGE, 2003.

Causality studies may be thought of as understanding a phenomenon in terms of conditional statements in the form, “If X, then Y.” This type of research is used to measure what impact a specific change will have on existing norms and assumptions. Most social scientists seek causal explanations that reflect tests of hypotheses. Causal effect (nomothetic perspective) occurs when variation in one phenomenon, an independent variable, leads to or results, on average, in variation in another phenomenon, the dependent variable.

Conditions necessary for determining causality:

• Empirical association--a valid conclusion is based on finding an association between the independent variable and the dependent variable.
• Appropriate time order--to conclude that causation was involved, one must see that cases were exposed to variation in the independent variable before variation in the dependent variable.
• Nonspuriousness--a relationship between two variables that is not due to variation in a third variable.
• Causality research designs helps researchers understand why the world works the way it does through the process of proving a causal link between variables and eliminating other possibilities.
• Replication is possible.
• There is greater confidence the study has internal validity due to the systematic subject selection and equity of groups being compared.
• Not all relationships are casual! The possibility always exists that, by sheer coincidence, two unrelated events appear to be related [e.g., Punxatawney Phil could accurately predict the duration of Winter for five consecutive years but, the fact remains, he's just a big, furry rodent].
• Conclusions about causal relationships are difficult to determine due to a variety of extraneous and confounding variables that exist in a social environment. This means causality can only be inferred, never proven.
• If two variables are correlated, the cause must come before the effect. However, even though two variables might be causally related, it can sometimes be difficult to determine which variable comes first and therefore to establish which variable is the actual cause and which is the  actual effect.

Bachman, Ronet. The Practice of Research in Criminology and Criminal Justice . Chapter 5, Causation and Research Designs. 3rd ed.  Thousand Oaks, CA: Pine Forge Press, 2007; Causal Research Design: Experimentation. Anonymous SlideShare Presentation ; Gall, Meredith. Educational Research: An Introduction . Chapter 11, Nonexperimental Research: Correlational Designs. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Trochim, William M.K. Research Methods Knowledge Base . 2006.

Often used in the medical sciences, but also found in the applied social sciences, a cohort study generally refers to a study conducted over a period of time involving members of a population which the subject or representative member comes from, and who are united by some commonality or similarity. Using a quantitative framework, a cohort study makes note of statistical occurrence within a specialized subgroup, united by same or similar characteristics that are relevant to the research problem being investigated, r ather than studying statistical occurrence within the general population. Using a qualitative framework, cohort studies generally gather data using methods of observation. Cohorts can be either "open" or "closed."

• Open Cohort Studies [dynamic populations, such as the population of Los Angeles] involve a population that is defined just by the state of being a part of the study in question (and being monitored for the outcome). Date of entry and exit from the study is individually defined, therefore, the size of the study population is not constant. In open cohort studies, researchers can only calculate rate based data, such as, incidence rates and variants thereof.
• Closed Cohort Studies [static populations, such as patients entered into a clinical trial] involve participants who enter into the study at one defining point in time and where it is presumed that no new participants can enter the cohort. Given this, the number of study participants remains constant (or can only decrease).
• The use of cohorts is often mandatory because a randomized control study may be unethical. For example, you cannot deliberately expose people to asbestos, you can only study its effects on those who have already been exposed. Research that measures risk factors  often relies on cohort designs.
• Because cohort studies measure potential causes before the outcome has occurred, they can demonstrate that these “causes” preceded the outcome, thereby avoiding the debate as to which is the cause and which is the effect.
• Cohort analysis is highly flexible and can provide insight into effects over time and related to a variety of different types of changes [e.g., social, cultural, political, economic, etc.].
• Either original data or secondary data can be used in this design.
• In cases where a comparative analysis of two cohorts is made [e.g., studying the effects of one group exposed to asbestos and one that has not], a researcher cannot control for all other factors that might differ between the two groups. These factors are known as confounding variables.
• Cohort studies can end up taking a long time to complete if the researcher must wait for the conditions of interest to develop within the group. This also increases the chance that key variables change during the course of the study, potentially impacting the validity of the findings.
• Because of the lack of randominization in the cohort design, its external validity is lower than that of study designs where the researcher randomly assigns participants.

Healy P, Devane D. “Methodological Considerations in Cohort Study Designs.” Nurse Researcher 18 (2011): 32-36;  Levin, Kate Ann. Study Design IV: Cohort Studies. Evidence-Based Dentistry 7 (2003): 51–52; Study Design 101 . Himmelfarb Health Sciences Library. George Washington University, November 2011; Cohort Study . Wikipedia.

Cross-sectional research designs have three distinctive features: no time dimension, a reliance on existing differences rather than change following intervention; and, groups are selected based on existing differences rather than random allocation. The cross-sectional design can only measure diffrerences between or from among a variety of people, subjects, or phenomena rather than change. As such, researchers using this design can only employ a relative passive approach to making causal inferences based on findings.

• Cross-sectional studies provide a 'snapshot' of the outcome and the characteristics associated with it, at a specific point in time.
• Unlike the experimental design where there is an active intervention by the researcher to produce and measure change or to create differences, cross-sectional designs focus on studying and drawing inferences from existing differences between people, subjects, or phenomena.
• Entails collecting data at and concerning one point in time. While longitudinal studies involve taking multiple measures over an extended period of time, cross-sectional research is focused on finding relationships between variables at one moment in time.
• Groups identified for study are purposely selected based upon existing differences in the sample rather than seeking random sampling.
• Cross-section studies are capable of using data from a large number of subjects and, unlike observational studies, is not geographically bound.
• Can estimate prevalence of an outcome of interest because the sample is usually taken from the whole population.
• Because cross-sectional designs generally use survey techniques to gather data, they are relatively inexpensive and take up little time to conduct.
• Finding people, subjects, or phenomena to study that are very similar except in one specific variable can be difficult.
• Results are static and time bound and, therefore, give no indication of a sequence of events or reveal historical contexts.
• Studies cannot be utilized to establish cause and effect relationships.
• Provide only a snapshot of analysis so there is always the possibility that a study could have differing results if another time-frame had been chosen.
• There is no follow up to the findings.

Hall, John. “Cross-Sectional Survey Design.” In Encyclopedia of Survey Research Methods. Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 173-174; Helen Barratt, Maria Kirwan. Cross-Sectional Studies: Design, Application, Strengths and Weaknesses of Cross-Sectional Studies . Healthknowledge, 2009. Cross-Sectional Study . Wikipedia.

Descriptive research designs help provide answers to the questions of who, what, when, where, and how associated with a particular research problem; a descriptive study cannot conclusively ascertain answers to why. Descriptive research is used to obtain information concerning the current status of the phenomena and to describe "what exists" with respect to variables or conditions in a situation.

• The subject is being observed in a completely natural and unchanged natural environment. True experiments, whilst giving analyzable data, often adversely influence the normal behavior of the subject.
• Descriptive research is often used as a pre-cursor to more quantitatively research designs, the general overview giving some valuable pointers as to what variables are worth testing quantitatively.
• If the limitations are understood, they can be a useful tool in developing a more focused study.
• Descriptive studies can yield rich data that lead to important recommendations.
• Appoach collects a large amount of data for detailed analysis.
• The results from a descriptive research can not be used to discover a definitive answer or to disprove a hypothesis.
• Because descriptive designs often utilize observational methods [as opposed to quantitative methods], the results cannot be replicated.
• The descriptive function of research is heavily dependent on instrumentation for measurement and observation.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 5, Flexible Methods: Descriptive Research. 2nd ed. New York: Columbia University Press, 1999;  McNabb, Connie. Descriptive Research Methodologies . Powerpoint Presentation; Shuttleworth, Martyn. Descriptive Research Design , September 26, 2008. Explorable.com website.

A blueprint of the procedure that enables the researcher to maintain control over all factors that may affect the result of an experiment. In doing this, the researcher attempts to determine or predict what may occur. Experimental Research is often used where there is time priority in a causal relationship (cause precedes effect), there is consistency in a causal relationship (a cause will always lead to the same effect), and the magnitude of the correlation is great. The classic experimental design specifies an experimental group and a control group. The independent variable is administered to the experimental group and not to the control group, and both groups are measured on the same dependent variable. Subsequent experimental designs have used more groups and more measurements over longer periods. True experiments must have control, randomization, and manipulation.

• Experimental research allows the researcher to control the situation. In so doing, it allows researchers to answer the question, “what causes something to occur?”
• Permits the researcher to identify cause and effect relationships between variables and to distinguish placebo effects from treatment effects.
• Experimental research designs support the ability to limit alternative explanations and to infer direct causal relationships in the study.
• Approach provides the highest level of evidence for single studies.
• The design is artificial, and results may not generalize well to the real world.
• The artificial settings of experiments may alter subject behaviors or responses.
• Experimental designs can be costly if special equipment or facilities are needed.
• Some research problems cannot be studied using an experiment because of ethical or technical reasons.
• Difficult to apply ethnographic and other qualitative methods to  experimental designed research studies.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 7, Flexible Methods: Experimental Research. 2nd ed. New York: Columbia University Press, 1999; Chapter 2: Research Design, Experimental Designs . School of Psychology, University of New England, 2000; Experimental Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Trochim, William M.K. Experimental Design . Research Methods Knowledge Base. 2006; Rasool, Shafqat. Experimental Research . Slideshare presentation.

An exploratory design is conducted about a research problem when there are few or no earlier studies to refer to. The focus is on gaining insights and familiarity for later investigation or undertaken when problems are in a preliminary stage of investigation.

The goals of exploratory research are intended to produce the following possible insights:

• Familiarity with basic details, settings and concerns.
• Well grounded picture of the situation being developed.
• Generation of new ideas and assumption, development of tentative theories or hypotheses.
• Determination about whether a study is feasible in the future.
• Issues get refined for more systematic investigation and formulation of new research questions.
• Direction for future research and techniques get developed.
• Design is a useful approach for gaining background information on a particular topic.
• Exploratory research is flexible and can address research questions of all types (what, why, how).
• Provides an opportunity to define new terms and clarify existing concepts.
• Exploratory research is often used to generate formal hypotheses and develop more precise research problems.
• Exploratory studies help establish research priorities.
• Exploratory research generally utilizes small sample sizes and, thus, findings are typically not generalizable to the population at large.
• The exploratory nature of the research inhibits an ability to make definitive conclusions about the findings.
• The research process underpinning exploratory studies is flexible but often unstructured, leading to only tentative results that have limited value in decision-making.
• Design lacks rigorous standards applied to methods of data gathering and analysis because one of the areas for exploration could be to determine what method or methodologies could best fit the research problem.

Cuthill, Michael. “Exploratory Research: Citizen Participation, Local Government, and Sustainable Development in Australia.” Sustainable Development 10 (2002): 79-89; Taylor, P. J., G. Catalano, and D.R.F. Walker. “Exploratory Analysis of the World City Network.” Urban Studies 39 (December 2002): 2377-2394; Exploratory Research . Wikipedia.

The purpose of a historical research design is to collect, verify, and synthesize evidence from the past to establish facts that defend or refute your hypothesis. It uses secondary sources and a variety of primary documentary evidence, such as, logs, diaries, official records, reports, archives, and non-textual information [maps, pictures, audio and visual recordings]. The limitation is that the sources must be both authentic and valid.

• The historical research design is unobtrusive; the act of research does not affect the results of the study.
• The historical approach is well suited for trend analysis.
• Historical records can add important contextual background required to more fully understand and interpret a research problem.
• There is no possibility of researcher-subject interaction that could affect the findings.
• Historical sources can be used over and over to study different research problems or to replicate a previous study.
• The ability to fulfill the aims of your research are directly related to the amount and quality of documentation available to understand the research problem.
• Since historical research relies on data from the past, there is no way to manipulate it to control for contemporary contexts.
• Interpreting historical sources can be very time consuming.
• The sources of historical materials must be archived consistentally to ensure access.
• Original authors bring their own perspectives and biases to the interpretation of past events and these biases are more difficult to ascertain in historical resources.
• Due to the lack of control over external variables, historical research is very weak with regard to the demands of internal validity.
• It rare that the entirety of historical documentation needed to fully address a research problem is available for interpretation, therefore, gaps need to be acknowledged.

Savitt, Ronald. “Historical Research in Marketing.” Journal of Marketing 44 (Autumn, 1980): 52-58;  Gall, Meredith. Educational Research: An Introduction . Chapter 16, Historical Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007.

A longitudinal study follows the same sample over time and makes repeated observations. With longitudinal surveys, for example, the same group of people is interviewed at regular intervals, enabling researchers to track changes over time and to relate them to variables that might explain why the changes occur. Longitudinal research designs describe patterns of change and help establish the direction and magnitude of causal relationships. Measurements are taken on each variable over two or more distinct time periods. This allows the researcher to measure change in variables over time. It is a type of observational study and is sometimes referred to as a panel study.

• Longitudinal data allow the analysis of duration of a particular phenomenon.
• Enables survey researchers to get close to the kinds of causal explanations usually attainable only with experiments.
• The design permits the measurement of differences or change in a variable from one period to another [i.e., the description of patterns of change over time].
• Longitudinal studies facilitate the prediction of future outcomes based upon earlier factors.
• The data collection method may change over time.
• Maintaining the integrity of the original sample can be difficult over an extended period of time.
• It can be difficult to show more than one variable at a time.
• This design often needs qualitative research to explain fluctuations in the data.
• A longitudinal research design assumes present trends will continue unchanged.
• It can take a long period of time to gather results.
• There is a need to have a large sample size and accurate sampling to reach representativness.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 6, Flexible Methods: Relational and Longitudinal Research. 2nd ed. New York: Columbia University Press, 1999; Kalaian, Sema A. and Rafa M. Kasim. "Longitudinal Studies." In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 440-441; Ployhart, Robert E. and Robert J. Vandenberg. "Longitudinal Research: The Theory, Design, and Analysis of Change.” Journal of Management 36 (January 2010): 94-120; Longitudinal Study . Wikipedia.

This type of research design draws a conclusion by comparing subjects against a control group, in cases where the researcher has no control over the experiment. There are two general types of observational designs. In direct observations, people know that you are watching them. Unobtrusive measures involve any method for studying behavior where individuals do not know they are being observed. An observational study allows a useful insight into a phenomenon and avoids the ethical and practical difficulties of setting up a large and cumbersome research project.

• Observational studies are usually flexible and do not necessarily need to be structured around a hypothesis about what you expect to observe (data is emergent rather than pre-existing).
• The researcher is able to collect a depth of information about a particular behavior.
• Can reveal interrelationships among multifaceted dimensions of group interactions.
• You can generalize your results to real life situations.
• Observational research is useful for discovering what variables may be important before applying other methods like experiments.
• Observation researchd esigns account for the complexity of group behaviors.
• Reliability of data is low because seeing behaviors occur over and over again may be a time consuming task and difficult to replicate.
• In observational research, findings may only reflect a unique sample population and, thus, cannot be generalized to other groups.
• There can be problems with bias as the researcher may only "see what they want to see."
• There is no possiblility to determine "cause and effect" relationships since nothing is manipulated.
• Sources or subjects may not all be equally credible.
• Any group that is studied is altered to some degree by the very presence of the researcher, therefore, skewing to some degree any data collected (the Heisenburg Uncertainty Principle).

Atkinson, Paul and Martyn Hammersley. “Ethnography and Participant Observation.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 248-261; Observational Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Patton Michael Quinn. Qualitiative Research and Evaluation Methods . Chapter 6, Fieldwork Strategies and Observational Methods. 3rd ed. Thousand Oaks, CA: Sage, 2002; Rosenbaum, Paul R. Design of Observational Studies . New York: Springer, 2010.

Understood more as an broad approach to examining a research problem than a methodological design, philosophical analysis and argumentation is intended to challenge deeply embedded, often intractable, assumptions underpinning an area of study. This approach uses the tools of argumentation derived from philosophical traditions, concepts, models, and theories to critically explore and challenge, for example, the relevance of logic and evidence in academic debates, to analyze arguments about fundamental issues, or to discuss the root of existing discourse about a research problem. These overarching tools of analysis can be framed in three ways:

• Ontology -- the study that describes the nature of reality; for example, what is real and what is not, what is fundamental and what is derivative?
• Epistemology -- the study that explores the nature of knowledge; for example, on what does knowledge and understanding depend upon and how can we be certain of what we know?
• Axiology -- the study of values; for example, what values does an individual or group hold and why? How are values related to interest, desire, will, experience, and means-to-end? And, what is the difference between a matter of fact and a matter of value?
• Can provide a basis for applying ethical decision-making to practice.
• Functions as a means of gaining greater self-understanding and self-knowledge about the purposes of research.
• Brings clarity to general guiding practices and principles of an individual or group.
• Philosophy informs methodology.
• Refine concepts and theories that are invoked in relatively unreflective modes of thought and discourse.
• Beyond methodology, philosophy also informs critical thinking about epistemology and the structure of reality (metaphysics).
• Offers clarity and definition to the practical and theoretical uses of terms, concepts, and ideas.
• Limited application to specific research problems [answering the "So What?" question in social science research].
• Analysis can be abstract, argumentative, and limited in its practical application to real-life issues.
• While a philosophical analysis may render problematic that which was once simple or taken-for-granted, the writing can be dense and subject to unnecessary jargon, overstatement, and/or excessive quotation and documentation.
• There are limitations in the use of metaphor as a vehicle of philosophical analysis.
• There can be analytical difficulties in moving from philosophy to advocacy and between abstract thought and application to the phenomenal world.

Chapter 4, Research Methodology and Design . Unisa Institutional Repository (UnisaIR), University of South Africa;  Labaree, Robert V. and Ross Scimeca. “The Philosophical Problem of Truth in Librarianship.” The Library Quarterly 78 (January 2008): 43-70; Maykut, Pamela S. Beginning Qualitative Research: A Philosophic and Practical Guide . Washington, D.C.: Falmer Press, 1994; Stanford Encyclopedia of Philosophy . Metaphysics Research Lab, CSLI, Stanford University, 2013.

• The researcher has a limitless option when it comes to sample size and the sampling schedule.
• Due to the repetitive nature of this research design, minor changes and adjustments can be done during the initial parts of the study to correct and hone the research method. Useful design for exploratory studies.
• There is very little effort on the part of the researcher when performing this technique. It is generally not expensive, time consuming, or workforce extensive.
• Because the study is conducted serially, the results of one sample are known before the next sample is taken and analyzed.
• The sampling method is not representative of the entire population. The only possibility of approaching representativeness is when the researcher chooses to use a very large sample size significant enough to represent a significant portion of the entire population. In this case, moving on to study a second or more sample can be difficult.
• Because the sampling technique is not randomized, the design cannot be used to create conclusions and interpretations that pertain to an entire population. Generalizability from findings is limited.
• Difficult to account for and interpret variation from one sample to another over time, particularly when using qualitative methods of data collection.

Rebecca Betensky, Harvard University, Course Lecture Note slides ; Cresswell, John W. Et al. “Advanced Mixed-Methods Research Designs.” In Handbook of Mixed Methods in Social and Behavioral Research . Abbas Tashakkori and Charles Teddle, eds. (Thousand Oaks, CA: Sage, 2003), pp. 209-240; Nataliya V. Ivankova. “Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice.” Field Methods 18 (February 2006): 3-20; Bovaird, James A. and Kevin A. Kupzyk. “Sequential Design.” In Encyclopedia of Research Design . Neil J. Salkind, ed. Thousand Oaks, CA: Sage, 2010; Sequential Analysis . Wikipedia.  

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113 Great Research Paper Topics

General Education

One of the hardest parts of writing a research paper can be just finding a good topic to write about. Fortunately we've done the hard work for you and have compiled a list of 113 interesting research paper topics. They've been organized into ten categories and cover a wide range of subjects so you can easily find the best topic for you.

In addition to the list of good research topics, we've included advice on what makes a good research paper topic and how you can use your topic to start writing a great paper.

What Makes a Good Research Paper Topic?

Not all research paper topics are created equal, and you want to make sure you choose a great topic before you start writing. Below are the three most important factors to consider to make sure you choose the best research paper topics.

#1: It's Something You're Interested In

A paper is always easier to write if you're interested in the topic, and you'll be more motivated to do in-depth research and write a paper that really covers the entire subject. Even if a certain research paper topic is getting a lot of buzz right now or other people seem interested in writing about it, don't feel tempted to make it your topic unless you genuinely have some sort of interest in it as well.

#2: There's Enough Information to Write a Paper

Even if you come up with the absolute best research paper topic and you're so excited to write about it, you won't be able to produce a good paper if there isn't enough research about the topic. This can happen for very specific or specialized topics, as well as topics that are too new to have enough research done on them at the moment. Easy research paper topics will always be topics with enough information to write a full-length paper.

Trying to write a research paper on a topic that doesn't have much research on it is incredibly hard, so before you decide on a topic, do a bit of preliminary searching and make sure you'll have all the information you need to write your paper.

#3: It Fits Your Teacher's Guidelines

Don't get so carried away looking at lists of research paper topics that you forget any requirements or restrictions your teacher may have put on research topic ideas. If you're writing a research paper on a health-related topic, deciding to write about the impact of rap on the music scene probably won't be allowed, but there may be some sort of leeway. For example, if you're really interested in current events but your teacher wants you to write a research paper on a history topic, you may be able to choose a topic that fits both categories, like exploring the relationship between the US and North Korea. No matter what, always get your research paper topic approved by your teacher first before you begin writing.

113 Good Research Paper Topics

Below are 113 good research topics to help you get you started on your paper. We've organized them into ten categories to make it easier to find the type of research paper topics you're looking for.

Arts/Culture

• Discuss the main differences in art from the Italian Renaissance and the Northern Renaissance .
• Analyze the impact a famous artist had on the world.
• How is sexism portrayed in different types of media (music, film, video games, etc.)? Has the amount/type of sexism changed over the years?
• How has the music of slaves brought over from Africa shaped modern American music?
• How has rap music evolved in the past decade?
• How has the portrayal of minorities in the media changed?

Current Events

• What have been the impacts of China's one child policy?
• How have the goals of feminists changed over the decades?
• How has the Trump presidency changed international relations?
• Analyze the history of the relationship between the United States and North Korea.
• What factors contributed to the current decline in the rate of unemployment?
• What have been the impacts of states which have increased their minimum wage?
• How do US immigration laws compare to immigration laws of other countries?
• How have the US's immigration laws changed in the past few years/decades?
• How has the Black Lives Matter movement affected discussions and view about racism in the US?
• What impact has the Affordable Care Act had on healthcare in the US?
• What factors contributed to the UK deciding to leave the EU (Brexit)?
• What factors contributed to China becoming an economic power?
• Discuss the history of Bitcoin or other cryptocurrencies  (some of which tokenize the S&P 500 Index on the blockchain) .
• Do students in schools that eliminate grades do better in college and their careers?
• Do students from wealthier backgrounds score higher on standardized tests?
• Do students who receive free meals at school get higher grades compared to when they weren't receiving a free meal?
• Do students who attend charter schools score higher on standardized tests than students in public schools?
• Do students learn better in same-sex classrooms?
• How does giving each student access to an iPad or laptop affect their studies?
• What are the benefits and drawbacks of the Montessori Method ?
• Do children who attend preschool do better in school later on?
• What was the impact of the No Child Left Behind act?
• How does the US education system compare to education systems in other countries?
• What impact does mandatory physical education classes have on students' health?
• Which methods are most effective at reducing bullying in schools?
• Do homeschoolers who attend college do as well as students who attended traditional schools?
• Does offering tenure increase or decrease quality of teaching?
• How does college debt affect future life choices of students?
• Should graduate students be able to form unions?

• What are different ways to lower gun-related deaths in the US?
• How and why have divorce rates changed over time?
• Is affirmative action still necessary in education and/or the workplace?
• Should physician-assisted suicide be legal?
• How has stem cell research impacted the medical field?
• How can human trafficking be reduced in the United States/world?
• Should people be able to donate organs in exchange for money?
• Which types of juvenile punishment have proven most effective at preventing future crimes?
• Has the increase in US airport security made passengers safer?
• Analyze the immigration policies of certain countries and how they are similar and different from one another.
• Several states have legalized recreational marijuana. What positive and negative impacts have they experienced as a result?
• Do tariffs increase the number of domestic jobs?
• Which prison reforms have proven most effective?
• Should governments be able to censor certain information on the internet?
• Which methods/programs have been most effective at reducing teen pregnancy?
• What are the benefits and drawbacks of the Keto diet?
• How effective are different exercise regimes for losing weight and maintaining weight loss?
• How do the healthcare plans of various countries differ from each other?
• What are the most effective ways to treat depression ?
• What are the pros and cons of genetically modified foods?
• Which methods are most effective for improving memory?
• What can be done to lower healthcare costs in the US?
• What factors contributed to the current opioid crisis?
• Analyze the history and impact of the HIV/AIDS epidemic .
• Are low-carbohydrate or low-fat diets more effective for weight loss?
• How much exercise should the average adult be getting each week?
• Which methods are most effective to get parents to vaccinate their children?
• What are the pros and cons of clean needle programs?
• How does stress affect the body?
• Discuss the history of the conflict between Israel and the Palestinians.
• What were the causes and effects of the Salem Witch Trials?
• Who was responsible for the Iran-Contra situation?
• How has New Orleans and the government's response to natural disasters changed since Hurricane Katrina?
• What events led to the fall of the Roman Empire?
• What were the impacts of British rule in India ?
• Was the atomic bombing of Hiroshima and Nagasaki necessary?
• What were the successes and failures of the women's suffrage movement in the United States?
• What were the causes of the Civil War?
• How did Abraham Lincoln's assassination impact the country and reconstruction after the Civil War?
• Which factors contributed to the colonies winning the American Revolution?
• What caused Hitler's rise to power?
• Discuss how a specific invention impacted history.
• What led to Cleopatra's fall as ruler of Egypt?
• How has Japan changed and evolved over the centuries?
• What were the causes of the Rwandan genocide ?

• Why did Martin Luther decide to split with the Catholic Church?
• Analyze the history and impact of a well-known cult (Jonestown, Manson family, etc.)
• How did the sexual abuse scandal impact how people view the Catholic Church?
• How has the Catholic church's power changed over the past decades/centuries?
• What are the causes behind the rise in atheism/ agnosticism in the United States?
• What were the influences in Siddhartha's life resulted in him becoming the Buddha?
• How has media portrayal of Islam/Muslims changed since September 11th?

Science/Environment

• How has the earth's climate changed in the past few decades?
• How has the use and elimination of DDT affected bird populations in the US?
• Analyze how the number and severity of natural disasters have increased in the past few decades.
• Analyze deforestation rates in a certain area or globally over a period of time.
• How have past oil spills changed regulations and cleanup methods?
• How has the Flint water crisis changed water regulation safety?
• What are the pros and cons of fracking?
• What impact has the Paris Climate Agreement had so far?
• What have NASA's biggest successes and failures been?
• How can we improve access to clean water around the world?
• Does ecotourism actually have a positive impact on the environment?
• Should the US rely on nuclear energy more?
• What can be done to save amphibian species currently at risk of extinction?
• What impact has climate change had on coral reefs?
• How are black holes created?
• Are teens who spend more time on social media more likely to suffer anxiety and/or depression?
• How will the loss of net neutrality affect internet users?
• Analyze the history and progress of self-driving vehicles.
• How has the use of drones changed surveillance and warfare methods?
• Has social media made people more or less connected?
• What progress has currently been made with artificial intelligence ?
• Do smartphones increase or decrease workplace productivity?
• What are the most effective ways to use technology in the classroom?
• How is Google search affecting our intelligence?
• When is the best age for a child to begin owning a smartphone?
• Has frequent texting reduced teen literacy rates?

How to Write a Great Research Paper

Even great research paper topics won't give you a great research paper if you don't hone your topic before and during the writing process. Follow these three tips to turn good research paper topics into great papers.

#1: Figure Out Your Thesis Early

Before you start writing a single word of your paper, you first need to know what your thesis will be. Your thesis is a statement that explains what you intend to prove/show in your paper. Every sentence in your research paper will relate back to your thesis, so you don't want to start writing without it!

As some examples, if you're writing a research paper on if students learn better in same-sex classrooms, your thesis might be "Research has shown that elementary-age students in same-sex classrooms score higher on standardized tests and report feeling more comfortable in the classroom."

If you're writing a paper on the causes of the Civil War, your thesis might be "While the dispute between the North and South over slavery is the most well-known cause of the Civil War, other key causes include differences in the economies of the North and South, states' rights, and territorial expansion."

#2: Back Every Statement Up With Research

Remember, this is a research paper you're writing, so you'll need to use lots of research to make your points. Every statement you give must be backed up with research, properly cited the way your teacher requested. You're allowed to include opinions of your own, but they must also be supported by the research you give.

#3: Do Your Research Before You Begin Writing

You don't want to start writing your research paper and then learn that there isn't enough research to back up the points you're making, or, even worse, that the research contradicts the points you're trying to make!

Get most of your research on your good research topics done before you begin writing. Then use the research you've collected to create a rough outline of what your paper will cover and the key points you're going to make. This will help keep your paper clear and organized, and it'll ensure you have enough research to produce a strong paper.

What's Next?

Are you also learning about dynamic equilibrium in your science class? We break this sometimes tricky concept down so it's easy to understand in our complete guide to dynamic equilibrium .

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Want to know the fastest and easiest ways to convert between Fahrenheit and Celsius? We've got you covered! Check out our guide to the best ways to convert Celsius to Fahrenheit (or vice versa).

These recommendations are based solely on our knowledge and experience. If you purchase an item through one of our links, PrepScholar may receive a commission.

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Research Design: Definition, Types, Characteristics & Study Examples

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A research design is the blueprint for any study. It's the plan that outlines how the research will be carried out. A study design usually includes the methods of data collection, the type of data to be gathered, and how it will be analyzed. Research designs help ensure the study is reliable, valid, and can answer the research question.

Behind every groundbreaking discovery and innovation lies a well-designed research. Whether you're investigating a new technology or exploring a social phenomenon, a solid research design is key to achieving reliable results. But what exactly does it means, and how do you create an effective one? Stay with our paper writers and find out:

• Detailed definition
• Types of research study designs
• How to write a research design
• Useful examples.

Whether you're a seasoned researcher or just getting started, understanding the core principles will help you conduct better studies and make more meaningful contributions.

What Is a Research Design: Definition

Research design is an overall study plan outlining a specific approach to investigating a research question . It covers particular methods and strategies for collecting, measuring and analyzing data. Students  are required to build a study design either as an individual task or as a separate chapter in a research paper , thesis or dissertation .

Before designing a research project, you need to consider a series aspects of your future study:

• Research aims What research objectives do you want to accomplish with your study? What approach will you take to get there? Will you use a quantitative, qualitative, or mixed methods approach?
• Type of data Will you gather new data (primary research), or rely on existing data (secondary research) to answer your research question?
• Sampling methods How will you pick participants? What criteria will you use to ensure your sample is representative of the population?
• Data collection methods What tools or instruments will you use to gather data (e.g., conducting a survey , interview, or observation)?
• Measurement  What metrics will you use to capture and quantify data?
• Data analysis  What statistical or qualitative techniques will you use to make sense of your findings?

By using a well-designed research plan, you can make sure your findings are solid and can be generalized to a larger group.

Research design example

You are going to investigate the effectiveness of a mindfulness-based intervention for reducing stress and anxiety among college students. You decide to organize an experiment to explore the impact. Participants should be randomly assigned to either an intervention group or a control group. You need to conduct pre- and post-intervention using self-report measures of stress and anxiety.

What Makes a Good Study Design? 

To design a research study that works, you need to carefully think things through. Make sure your strategy is tailored to your research topic and watch out for potential biases. Your procedures should be flexible enough to accommodate changes that may arise during the course of research. 

A good research design should be:

• Clear and methodologically sound
• Feasible and realistic
• Knowledge-driven.

By following these guidelines, you'll set yourself up for success and be able to produce reliable results.

Research Study Design Structure

A structured research design provides a clear and organized plan for carrying out a study. It helps researchers to stay on track and ensure that the study stays within the bounds of acceptable time, resources, and funding.

A typical design includes 5 main components:

• Research question(s): Central research topic(s) or issue(s).
• Sampling strategy: Method for selecting participants or subjects.
• Data collection techniques: Tools or instruments for retrieving data.
• Data analysis approaches: Techniques for interpreting and scrutinizing assembled data.
• Ethical considerations: Principles for protecting human subjects (e.g., obtaining a written consent, ensuring confidentiality guarantees).

Research Design Essential Characteristics

Creating a research design warrants a firm foundation for your exploration. The cost of making a mistake is too high. This is not something scholars can afford, especially if financial resources or a considerable amount of time is invested. Choose the wrong strategy, and you risk undermining your whole study and wasting resources. 

To avoid any unpleasant surprises, make sure your study conforms to the key characteristics. Here are some core features of research designs:

• Reliability   Reliability is stability of your measures or instruments over time. A reliable research design is one that can be reproduced in the same way and deliver consistent outcomes. It should also nurture accurate representations of actual conditions and guarantee data quality.
• Validity For a study to be valid , it must measure what it claims to measure. This means that methodological approaches should be carefully considered and aligned to the main research question(s).
• Generalizability Generalizability means that your insights can be practiced outside of the scope of a study. When making inferences, researchers must take into account determinants such as sample size, sampling technique, and context.
• Neutrality A study model should be free from personal or cognitive biases to ensure an impartial investigation of a research topic. Steer clear of highlighting any particular group or achievement.

Key Concepts in Research Design

Now let’s discuss the fundamental principles that underpin study designs in research. This will help you develop a strong framework and make sure all the puzzles fit together.

Primary concepts

Types of Approaches to Research Design

Study frameworks can fall into 2 major categories depending on the approach to compiling data you opt for. The 2 main types of study designs in research are qualitative and quantitative research. Both approaches have their unique strengths and weaknesses, and can be utilized based on the nature of information you are dealing with. 

Quantitative Research  

Quantitative study is focused on establishing empirical relationships between variables and collecting numerical data. It involves using statistics, surveys, and experiments to measure the effects of certain phenomena. This research design type looks at hard evidence and provides measurements that can be analyzed using statistical techniques. 

Qualitative Research 

Qualitative approach is used to examine the behavior, attitudes, and perceptions of individuals in a given environment. This type of study design relies on unstructured data retrieved through interviews, open-ended questions and observational methods. 

If you need your study done yesterday, leave StudyCrumb a “ write my research paper for me ” notice and have your project completed by experts.

Types of Research Designs & Examples

Choosing a research design may be tough especially for the first-timers. One of the great ways to get started is to pick the right design that will best fit your objectives. There are 4 different types of research designs you can opt for to carry out your investigation:

• Experimental
• Correlational
• Descriptive
• Diagnostic/explanatory.

For more advanced studies, you can even combine several types. Mixed-methods research may come in handy when exploring complex phenomena that cannot be adequately captured by one method alone.

Below we will go through each type and offer you examples of study designs to assist you with selection.

1. Experimental

In experimental research design , scientists manipulate one or more independent variables and control other factors in order to observe their effect on a dependent variable. This type of research design is used for experiments where the goal is to determine a causal relationship. 

Its core characteristics include:

• Randomization
• Manipulation
• Replication.

A pharmaceutical company wants to test a new drug to investigate its effectiveness in treating a specific medical condition. Researchers would randomly assign participants to either a control group (receiving a placebo) or an experimental group (receiving the new drug). They would rigorously control all variables (e.g, age, medical history) and manipulate them to get reliable results.

2. Correlational

Correlational study is used to examine the existing relationships between variables. In this type of design, you don’t need to manipulate other variables. Here, researchers just focus on observing and measuring the naturally occurring relationship.

Correlational studies encompass such features: 

• Data collection from natural settings
• No intervention by the researcher
• Observation over time.

A research team wants to examine the relationship between academic performance and extracurricular activities. They would observe students' performance in courses and measure how much time they spend engaging in extracurricular activities.

3. Descriptive 

Descriptive research design is all about describing a particular population or phenomenon without any interruption. This study design is especially helpful when we're not sure about something and want to understand it better.

Descriptive studies are characterized by such features:

• Random and convenience sampling
• Observation
• No intervention.

A psychologist wants to understand how parents' behavior affects their child's self-concept. They would observe the interaction between children and their parents in a natural setting. Gathered information will help her get an overview of this situation and recognize some patterns.

4. Diagnostic

Diagnostic or explanatory research is used to determine the cause of an existing problem or a chronic symptom. Unlike other types of design, here scientists try to understand why something is happening. 

Among essential hallmarks of explanatory studies are: 

• Testing hypotheses and theories
• Examining existing data
• Comparative analysis.

A public health specialist wants to identify the cause of an outbreak of water-borne disease in a certain area. They would inspect water samples and records to compare them with similar outbreaks in other areas. This will help to uncover reasons behind this accident.

How to Design a Research Study: Step-by-Step Process

When designing your research don't just jump into it. It's important to take the time and do things right in order to attain accurate findings. Follow these simple steps on how to design a study to get the most out of your project.

1. Determine Your Aims 

The first step in the research design process is figuring out what you want to achieve. This involves identifying your research question, goals and specific objectives you want to accomplish. Think whether you want to explore a specific issue or develop a new theory? Setting your aims from the get-go will help you stay focused and ensure that your study is driven by purpose. 

Once  you are clear with your goals, you need to decide on the main approach. Will you use qualitative or quantitative methods? Or perhaps a mixture of both?

2. Select a Type of Research Design

Choosing a suitable design requires considering multiple factors, such as your research question, data collection methods, and resources. There are various research design types, each with its own advantages and limitations. Think about the kind of data that would be most useful to address your questions. Ultimately, a well-devised strategy should help you gather accurate data to achieve your objectives.

3. Define Your Population and Sampling Methods

To design a research project, it is essential to establish your target population and parameters for selecting participants. First, identify a cohort of individuals who share common characteristics and possess relevant experiences. 

For instance, if you are researching the impact of social media on mental health, your population could be young adults aged 18-25 who use social media frequently.

With your population in mind, you can now choose an optimal sampling method. Sampling is basically the process of narrowing down your target group to only those individuals who will participate in your study. At this point, you need to decide on whether you want to randomly choose the participants (probability sampling) or set out any selection criteria (non-probability sampling). 

To examine the influence of social media on mental well-being, we will divide a whole population into smaller subgroups using stratified random sampling . Then, we will randomly pick participants from each subcategory to make sure that findings are also true for a broader group of young adults.

4. Decide on Your Data Collection Methods

When devising your study, it is also important to consider how you will retrieve data.  Depending on the type of design you are using, you may deploy diverse methods. Below you can see various data collection techniques suited for different research designs. 

Data collection methods in various studies

Additionally, if you plan on integrating existing data sources like medical records or publicly available datasets, you want to mention this as well. 

5. Arrange Your Data Collection Process

Your data collection process should also be meticulously thought out. This stage involves scheduling interviews, arranging questionnaires and preparing all the necessary tools for collecting information from participants. Detail how long your study will take and what procedures will be followed for recording and analyzing the data. 

State which variables will be studied and what measures or scales will be used when assessing each variable.

Measures and scales 

Measures and scales are tools used to quantify variables in research. A measure is any method used to collect data on a variable, while a scale is a set of items or questions used to measure a particular construct or concept. Different types of scales include nominal, ordinal, interval, or ratio , each of which has distinct properties

Operationalization 

When working with abstract information that needs to be quantified, researchers often operationalize the variable by defining it in concrete terms that can be measured or observed. This allows the abstract concept to be studied systematically and rigorously. 

Operationalization in study design example

If studying the concept of happiness, researchers might operationalize it by using a scale that measures positive affect or life satisfaction. This allows us to quantify happiness and inspect its relationship with other variables, such as income or social support.

Remember that research design should be flexible enough to adjust for any unforeseen developments. Even with rigorous preparation, you may still face unexpected challenges during your project. That’s why you need to work out contingency plans when designing research.

6. Choose Data Analysis Techniques

It’s impossible to design research without mentioning how you are going to scrutinize data. To select a proper method, take into account the type of data you are dealing with and how many variables you need to analyze. 

Qualitative data may require thematic analysis or content analysis.

Quantitative data, on the other hand, could be processed with more sophisticated statistical analysis approaches such as regression analysis, factor analysis or descriptive statistics.

Finally, don’t forget about ethical considerations. Opt for those methods that minimize harm to participants and protect their rights.

Research Design Checklist

Having a checklist in front of you will help you design your research flawlessly.

• checkbox I clearly defined my research question and its significance.
• checkbox I considered crucial factors such as the nature of my study, type of required data and available resources to choose a suitable design.
• checkbox A sample size is sufficient to provide statistically significant results.
• checkbox My data collection methods are reliable and valid.
• checkbox Analysis methods are appropriate for the type of data I will be gathering.
• checkbox My research design protects the rights and privacy of my participants.
• checkbox I created a realistic timeline for research, including deadlines for data collection, analysis, and write-up.
• checkbox I considered funding sources and potential limitations.

Bottom Line on Research Design & Study Types

Designing a research project involves making countless decisions that can affect the quality of your work. By planning out each step and selecting the best methods for data collection and analysis, you can ensure that your project is conducted professionally.

We hope this article has helped you to better understand the research design process. If you have any questions or comments, ping us in the comments section below.

Entrust us your study and we will find the best research paper writer to complete your project. Count on a unique work and fast turnaround.

FAQ About Research Study Designs

1. what is a study design.

Study design, or else called research design, is the overall plan for a project, including its purpose, methodology, data collection and analysis techniques. A good design ensures that your project is conducted in an organized and ethical manner. It also provides clear guidelines for replicating or extending a study in the future.

2. What is the purpose of a research design?

The purpose of a research design is to provide a structure and framework for your project. By outlining your methodology, data collection techniques, and analysis methods in advance, you can ensure that your project will be conducted effectively.

3. What is the importance of research designs?

Research designs are critical to the success of any research project for several reasons. Specifically, study designs grant:

• Clear direction for all stages of a study
• Validity and reliability of findings
• Roadmap for replication or further extension
• Accurate results by controlling for potential bias
• Comparison between studies by providing consistent guidelines.

By following an established plan, researchers can be sure that their projects are organized, ethical, and reliable.

4. What are the 4 types of study designs?

There are generally 4 types of study designs commonly used in research:

• Experimental studies: investigate cause-and-effect relationships by manipulating the independent variable.
• Correlational studies: examine relationships between 2 or more variables without intruding them.
• Descriptive studies: describe the characteristics of a population or phenomenon without making any inferences about cause and effect.
• Explanatory studies: intended to explain causal relationships.

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You may also like

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• 1. Choosing a Research Problem
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

In the social and behavioral sciences, the subject of analysis is most often framed as a problem that must be researched in order to obtain a greater understanding, formulate a set of solutions or recommended courses of action, and/or develop a more effective approach to practice. The research problem, therefore, is the main organizing principle guiding the analysis of your research. The problem under investigation establishes an occasion for writing and a focus that governs what you want to say. It represents the core subject matter of scholarly communication and the means by which scholars arrive at other topics of conversation and the discovery of new knowledge and understanding.

Alvesson, Mats and Jörgen Sandberg. Constructing Research Questions: Doing Interesting Research . London: Sage, 2013; Jacobs, Ronald L. “Developing a Dissertation Research Problem: A Guide for Doctoral Students in Human Resource Development and Adult Education.” New Horizons in Adult Education and Human Resource Development 25 (Summer 2013): 103-117; Chapter 1: Research and the Research Problem. Nicholas Walliman . Your Research Project: Designing and Planning Your Work . 3rd edition. Thousand Oaks, CA: Sage Publications, 2011.

Choosing a Research Problem / How to Begin

Do not assume that identifying a research problem to investigate will be a quick and easy task! You should be thinking about it during the beginning of the course. There are generally three ways you are asked to write about a research problem : 1) your professor provides you with a general topic from which you study a particular aspect; 2) your professor provides you with a list of possible topics to study and you choose a topic from that list; or, 3) your professor leaves it up to you to choose a topic and you only have to obtain permission to write about it before beginning your investigation. Here are some strategies for getting started for each scenario.

I.  How To Begin:  You are given the topic to write about

Step 1 : Identify concepts and terms that make up the topic statement . For example, your professor wants the class to focus on the following research problem: “Is the European Union a credible security actor with the capacity to contribute to confronting global terrorism?" The main concepts in this problem are: European Union, security, global terrorism, credibility [ hint : focus on identifying proper nouns, nouns or noun phrases, and action verbs in the assignment description]. Step 2 : Review related literature to help refine how you will approach examining the topic and finding a way to analyze it . You can begin by doing any or all of the following: reading through background information from materials listed in your course syllabus; searching the USC Libraries Catalog to find a recent book on the topic and, if appropriate, more specialized works about the topic; conducting a preliminary review of the research literature using multidisciplinary databases such as ProQuest or subject-specific databases from the " By Subject Area " drop down menu located above the list of databases.

Choose the advanced search option in the database and enter into each search box the main concept terms you developed in Step 1. Also consider using their synonyms to retrieve additional relevant records. This will help you refine and frame the scope of the research problem. You will likely need to do this several times before you can finalize how to approach writing about the topic. NOTE: Always review the references from your most relevant research results cited by the authors in footnotes, endnotes, or a bibliography to locate related research on your topic. This is a good strategy for identifying important prior research about the topic because titles that are repeatedly cited indicate their significance in laying a foundation for understanding the problem. However, if you’re having trouble at this point locating relevant research literature, ask a librarian for help!

ANOTHER NOTE:   If you find an article from a database that's particularly helpful, paste it into Google Scholar , placing the title of the article in quotes. If the article record appears, look for a "cited by" reference followed by a number [e.g., C ited by 37] just below the record. This link indicates how many times other scholars have subsequently cited that article in their own research since it was first published. This is an effective strategy for identifying more current, related research on your topic. Finding additional cited by references from your original list of cited by references helps you navigate through the literature and, by so doing, understand the evolution of thought around a particular research problem. Step 3 : Since social science research papers are generally designed to encourage you to develop your own ideas and arguments, look for sources that can help broaden, modify, or strengthen your initial thoughts and arguments. For example, if you decide to argue that the European Union is inadequately prepared to take on responsibilities for broader global security because of the debt crisis in many EU countries, then focus on identifying sources that support as well as refute this position. From the advanced search option in ProQuest , a sample search would use "European Union" in one search box, "global security" in the second search box, and adding a third search box to include "debt crisis."

There are least four appropriate roles your related literature plays in helping you formulate how to begin your analysis :

• Sources of criticism -- frequently, you'll find yourself reading materials that are relevant to your chosen topic, but you disagree with the author's position. Therefore, one way that you can use a source is to describe the counter-argument, provide evidence from your own review of the literature as to why the prevailing argument is unsatisfactory, and to discuss how your approach is more appropriate based upon your interpretation of the evidence.
• Sources of new ideas -- while a general goal in writing college research papers in the social sciences is to examine a research problem with some basic idea of what position you'd like to take and on what basis you'd like to defend your position, it is certainly acceptable [and often encouraged] to read the literature and extend, modify, and refine your own position in light of the ideas proposed by others.
• Sources for historical context -- another role your related literature plays in formulating how to begin your analysis is to place issues and events in proper historical context. This can help to demonstrate familiarity with developments in relevant scholarship about your topic, provide a means of comparing historical versus contemporary issues and events, and identifying key people, places, and events that had an important role related to the research problem. Given its archival journal coverage, a good multidisciplinary database to use in this case is JSTOR .
• Sources of interdisciplinary insight -- an advantage of using databases like ProQuest to begin exploring your topic is that it covers publications from a variety of different disciplines. Another way to formulate how to study the topic is to look at it from different disciplinary perspectives. If the topic concerns immigration reform, for example, ask yourself, how do studies from sociological journals found by searching ProQuest vary in their analysis from those in political science journals. A goal in reviewing related literature is to provide a means of approaching a topic from multiple perspectives rather than the perspective offered from just one discipline.

NOTE: Remember to keep careful notes at every stage or utilize a citation management system like EndNotes or RefWorks . You may think you'll remember what you have searched and where you found things, but it’s easy to forget or get confused. Most databases have a search history feature that allows you to go back and see what searches you conducted previously as long as you haven't closed your session. If you start over, that history could be deleted.

Step 4 : Assuming you have done an effective job of synthesizing and thinking about the results of your initial search for related literature, you're ready to prepare a detailed outline for your paper that lays the foundation for a more in-depth and focused review of relevant research literature [after consulting with a librarian, if needed!]. How will you know you haven't done an effective job of synthesizing and thinking about the results of our initial search for related literature? A good indication is that you start composing the outline and gaps appear in how you want to approach the study. This indicates the need to gather further background information and analysis about the research problem.

II.  How To Begin:  You are provided a list of possible topics to choose from Step 1 : I know what you’re thinking--which topic on this list will be the easiest to find the most information on? An effective instructor would never include a topic that is so obscure or complex that no research is available to examine and from which to design an effective study. Therefore, don't approach a list of possible topics to study from the perspective of trying to identify the path of least resistance; choose a topic that you find interesting in some way, that is controversial and that you have a strong opinion about, that has some personal meaning for you, or relates to your major or a minor. You're going to be working on the topic for quite some time, so choose one that you find interesting and engaging or that motivates you to take a position. Embrace the opportunity to learn something new! Once you’ve settled on a topic of interest from the list provided by your professor, follow Steps 1 - 4 listed above to further develop it into a research paper.

NOTE: It’s ok to review related literature to help refine how you will approach analyzing a topic, and then discover that the topic isn’t all that interesting to you. In that case, choose a different topic from the list. Just don’t wait too long to make a switch and, of course, be sure to inform your professor that you are changing your topic.

III.  How To Begin:  Your professor leaves it up to you to choose a topic

Step 1 : Under this scenario, the key process is turning an idea or general thought into a topic that can be configured into a research problem. When given an assignment where you choose the topic, don't begin by thinking about what to write about, but rather, ask yourself the question, "What do I want to understand or learn about?" Treat an open-ended research assignment as an opportunity to gain new knowledge about something that's important or exciting to you in the context of the overall subject of the course.

Step 2 : If you lack ideas, or wish to gain focus, try any or all of the following strategies:

• Review your course readings, particularly the suggested readings, for topic ideas. Don't just review what you've already read, but jump ahead in the syllabus to readings that have not been covered yet.
• Search the USC Libraries Catalog for a recently published book and, if appropriate, more specialized works related to the discipline area of the course [e.g., for the course SOCI 335: Society and Population, search for books on "population and society" or "population and social impact"]. Reviewing the contents of a book about your area of interest can give you insight into what conversations scholars are having about the topic and, thus, how you might want to contribute your own ideas to these conversations through the research paper you write for the class.
• Browse through some current scholarly [a.k.a., academic, peer reviewed] journals in your subject discipline. Even if most of the articles are not relevant, you can skim through the contents quickly. You only need one to be the spark that begins the process of wanting to learn more about a topic. Consult with a librarian and/or your professor about what constitutes the core journals within the subject area of the writing assignment.
• Think about essays you have written for other courses you have taken or academic lectures and programs you have attended outside of class. Thinking back, ask yourself why did you want to take this class or attend this event? What interested you the most? What would you like to know more about? Place this question in the context of the current course assignment. Note that this strategy also applies to anything you've watched on TV or has been shared on social media.
• Search online news media sources, such as CNN , the Los Angeles Times , Huffington Post , MSNBC , Fox News , or Newsweek , to see if your idea has been covered by the media. Use this coverage to refine your idea into something that you'd like to investigate further, but in a more deliberate, scholarly way in relation to a particular problem that needs to be researched.

Step 3 : To build upon your initial idea, use the suggestions under this tab to help narrow , broaden , or increase the timeliness of your idea so you can write it out as a research problem.

Once you are comfortable with having turned your idea into a research problem, follow Steps 1 - 4 listed in Part I above to further develop it into an outline for a research paper.

Alderman, Jim. "Choosing a Research Topic." Beginning Library and Information Systems Strategies. Paper 17. Jacksonville, FL: University of North Florida Digital Commons, 2014; Alvesson, Mats and Jörgen Sandberg. Constructing Research Questions: Doing Interesting Research . London: Sage, 2013; Chapter 2: Choosing a Research Topic. Adrian R. Eley. Becoming a Successful Early Career Researcher . New York: Routledge, 2012; Answering the Question. Academic Skills Centre. University of Canberra; Brainstorming. Department of English Writing Guide. George Mason University; Brainstorming. The Writing Center. University of North Carolina; Chapter 1: Research and the Research Problem. Nicholas Walliman . Your Research Project: Designing and Planning Your Work . 3rd edition. Thousand Oaks, CA: Sage Publications, 2011; Choosing a Topic. The Writing Lab and The OWL. Purdue University;  Mullaney, Thomas S. and Christopher Rea. Where Research Begins: Choosing a Research Project That Matters to You (and the World) . Chicago, IL: University of Chicago Press, 2022; Coming Up With Your Topic. Institute for Writing Rhetoric. Dartmouth College; How To Write a Thesis Statement. Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University; Identify Your Question. Start Your Research. University Library, University of California, Santa Cruz; The Process of Writing a Research Paper. Department of History. Trent University; Trochim, William M.K. Problem Formulation. Research Methods Knowledge Base. 2006.

Resources for Identifying a Topic

Resources for Identifying a Research Problem

If you are having difficulty identifying a topic to study or need basic background information, the following web resources and databases can be useful:

• CQ Researcher -- a collection of single-themed public policy reports that provide an overview of an issue. Each report includes background information, an assessment of the current policy situation, statistical tables and maps, pro/con statements from representatives of opposing positions, and a bibliography of key sources.
• New York Times Topics -- each topic page collects news articles, reference and archival information, photos, graphics, audio and video files. Content is available without charge on articles going back to 1981.
• Opposing Viewpoints In Context -- an online resource covering a wide range of social issues from a variety of perspectives. The database contains a media-rich collection of materials, including pro/con viewpoint essays, topic overviews, primary source materials, biographies of social activists and reformers, journal articles, statistical tables, charts and graphs, images, videos, and podcasts.
• Policy Commons -- platform for objective, fact-based research from the world’s leading policy experts, nonpartisan think tanks, and intergovernmental and non-governmental organizations. The database provides advanced searching across millions of pages of books, articles, working papers, reports, policy briefs, data sets, tables, charts, media, case studies, and statistical publications, including archived reports from more than 200 defunct think tanks. Coverage is international in scope.

Descriptions of resources are adapted or quoted from vendor websites.

Writing Tip

Not Finding Anything on Your Topic? Ask a Librarian!

Don't assume or jump to the conclusion that your topic is too narrowly defined or obscure just because your initial search has failed to locate any relevant studies. Librarians are experts in locating and critically assessing information and how it is organized. This information will help you develop strategies for analyzing existing knowledge in new ways. Therefore, always consult with a librarian before you consider giving up on finding information about what you want to investigate. If there isn't a lot of information about your topic, a librarian can help you identify a closely related topic to study. Use the Ask-A-Librarian link above to either chat with a librarian, send a general email to the librarians, or identify a subject expert librarian related to the course you are taking.

Another Writing Tip

A Research Problem is Not the Thesis Statement

A thesis statement and a research problem are two different parts of the introduction section of your paper. The thesis statement succinctly describes in one or two sentences, usually in the last paragraph of the introduction, what position you have reached about a topic. It includes an assertion that requires evidence and support, along with your argument about what you are researching and why. There are three general types of thesis statements that are intended to set forth a claim that you will seek to validate through the research you describe in your paper :

1) analytical statements that break down and evaluate the topic;

2) expository statements that present facts and research about the topic; and,

3) argumentative statements that make a claim about the topic and defend that claim. An  argumentative thesis statement is the most common type of statement required in social sciences writing assignments.

Before the thesis statement, however, your introduction must include a statement about a problem in which you describe either a key area of concern, a condition to be improved upon, a difficulty to be eliminated, or a troubling issue that exists . The research problem describes something that can be empirically verified and measured and is often followed by a set of questions that underpin how you plan to approach investigating that problem. In short, the thesis statement presents your argument about the research problem and summarizes how you plan to address it.

Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Write a Strong Thesis Statement! The Writing Center, University of Evansville; Thesis Statements. The Writing Center. University of North Carolina; Tutorial #26: Thesis Statements and Topic Sentences. Writing Center, College of San Mateo; Creswell,  John W. and J. David Creswell. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 5th edition. Thousand Oaks, CA: SAGE Publications, 2017.

Still Another Writing Tip

Don't be a Martyr!

In thinking about what to study, don't adopt the mindset of pursuing an esoteric or overly complicated topic just to impress your professor but that, in reality, does not have any real interest to you. Choose a topic that is challenging, but that has at least some interest to you or is something that you care about. Obviously, this is easier for courses within your major, but even for those nasty general education classes that you must take in order to graduate [and that provide an additional tuition revenue for the university], try to apply perspectives to the writing assignment that reflect your major.

For example, if you are an international relations major taking a GE philosophy class where the assignment asks you to apply the question of "what is truth" to some aspect of life, you could choose to study how government leaders attempt to shape truth through the use of nationalistic propaganda. Using this approach will not only help you engage with class assignment, but it can create opportunities to understand research problems within your major from an interdisciplinary perspective.

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Research Topics & Ideas: Education

170+ Research Ideas To Fast-Track Your Dissertation, Thesis Or Research Project

I f you’re just starting out exploring education-related topics for your dissertation, thesis or research project, you’ve come to the right place. In this post, we’ll help kickstart your research topic ideation process by providing a hearty list of research topics and ideas , including examples from actual dissertations and theses..

PS – This is just the start…

We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . To develop a suitable education-related research topic, you’ll need to identify a clear and convincing research gap , and a viable plan of action to fill that gap.

If this sounds foreign to you, check out our free research topic webinar that explores how to find and refine a high-quality research topic, from scratch. Alternatively, if you’d like hands-on help, consider our 1-on-1 coaching service .

Overview: Education Research Topics

• How to find a research topic (video)
• List of 50+ education-related research topics/ideas
• List of 120+ level-specific research topics 
• Examples of actual dissertation topics in education
• Tips to fast-track your topic ideation (video)
• Where to get extra help

Education-Related Research Topics & Ideas

Below you’ll find a list of education-related research topics and idea kickstarters. These are fairly broad and flexible to various contexts, so keep in mind that you will need to refine them a little. Nevertheless, they should inspire some ideas for your project.

• The impact of school funding on student achievement
• The effects of social and emotional learning on student well-being
• The effects of parental involvement on student behaviour
• The impact of teacher training on student learning
• The impact of classroom design on student learning
• The impact of poverty on education
• The use of student data to inform instruction
• The role of parental involvement in education
• The effects of mindfulness practices in the classroom
• The use of technology in the classroom
• The role of critical thinking in education
• The use of formative and summative assessments in the classroom
• The use of differentiated instruction in the classroom
• The use of gamification in education
• The effects of teacher burnout on student learning
• The impact of school leadership on student achievement
• The effects of teacher diversity on student outcomes
• The role of teacher collaboration in improving student outcomes
• The implementation of blended and online learning
• The effects of teacher accountability on student achievement
• The effects of standardized testing on student learning
• The effects of classroom management on student behaviour
• The effects of school culture on student achievement
• The use of student-centred learning in the classroom
• The impact of teacher-student relationships on student outcomes
• The achievement gap in minority and low-income students
• The use of culturally responsive teaching in the classroom
• The impact of teacher professional development on student learning
• The use of project-based learning in the classroom
• The effects of teacher expectations on student achievement
• The use of adaptive learning technology in the classroom
• The impact of teacher turnover on student learning
• The effects of teacher recruitment and retention on student learning
• The impact of early childhood education on later academic success
• The impact of parental involvement on student engagement
• The use of positive reinforcement in education
• The impact of school climate on student engagement
• The role of STEM education in preparing students for the workforce
• The effects of school choice on student achievement
• The use of technology in the form of online tutoring

Level-Specific Research Topics

Looking for research topics for a specific level of education? We’ve got you covered. Below you can find research topic ideas for primary, secondary and tertiary-level education contexts. Click the relevant level to view the respective list.

Research Topics: Pick An Education Level

Primary education.

• Investigating the effects of peer tutoring on academic achievement in primary school
• Exploring the benefits of mindfulness practices in primary school classrooms
• Examining the effects of different teaching strategies on primary school students’ problem-solving skills
• The use of storytelling as a teaching strategy in primary school literacy instruction
• The role of cultural diversity in promoting tolerance and understanding in primary schools
• The impact of character education programs on moral development in primary school students
• Investigating the use of technology in enhancing primary school mathematics education
• The impact of inclusive curriculum on promoting equity and diversity in primary schools
• The impact of outdoor education programs on environmental awareness in primary school students
• The influence of school climate on student motivation and engagement in primary schools
• Investigating the effects of early literacy interventions on reading comprehension in primary school students
• The impact of parental involvement in school decision-making processes on student achievement in primary schools
• Exploring the benefits of inclusive education for students with special needs in primary schools
• Investigating the effects of teacher-student feedback on academic motivation in primary schools
• The role of technology in developing digital literacy skills in primary school students
• Effective strategies for fostering a growth mindset in primary school students
• Investigating the role of parental support in reducing academic stress in primary school children
• The role of arts education in fostering creativity and self-expression in primary school students
• Examining the effects of early childhood education programs on primary school readiness
• Examining the effects of homework on primary school students’ academic performance
• The role of formative assessment in improving learning outcomes in primary school classrooms
• The impact of teacher-student relationships on academic outcomes in primary school
• Investigating the effects of classroom environment on student behavior and learning outcomes in primary schools
• Investigating the role of creativity and imagination in primary school curriculum
• The impact of nutrition and healthy eating programs on academic performance in primary schools
• The impact of social-emotional learning programs on primary school students’ well-being and academic performance
• The role of parental involvement in academic achievement of primary school children
• Examining the effects of classroom management strategies on student behavior in primary school
• The role of school leadership in creating a positive school climate Exploring the benefits of bilingual education in primary schools
• The effectiveness of project-based learning in developing critical thinking skills in primary school students
• The role of inquiry-based learning in fostering curiosity and critical thinking in primary school students
• The effects of class size on student engagement and achievement in primary schools
• Investigating the effects of recess and physical activity breaks on attention and learning in primary school
• Exploring the benefits of outdoor play in developing gross motor skills in primary school children
• The effects of educational field trips on knowledge retention in primary school students
• Examining the effects of inclusive classroom practices on students’ attitudes towards diversity in primary schools
• The impact of parental involvement in homework on primary school students’ academic achievement
• Investigating the effectiveness of different assessment methods in primary school classrooms
• The influence of physical activity and exercise on cognitive development in primary school children
• Exploring the benefits of cooperative learning in promoting social skills in primary school students

Secondary Education

• Investigating the effects of school discipline policies on student behavior and academic success in secondary education
• The role of social media in enhancing communication and collaboration among secondary school students
• The impact of school leadership on teacher effectiveness and student outcomes in secondary schools
• Investigating the effects of technology integration on teaching and learning in secondary education
• Exploring the benefits of interdisciplinary instruction in promoting critical thinking skills in secondary schools
• The impact of arts education on creativity and self-expression in secondary school students
• The effectiveness of flipped classrooms in promoting student learning in secondary education
• The role of career guidance programs in preparing secondary school students for future employment
• Investigating the effects of student-centered learning approaches on student autonomy and academic success in secondary schools
• The impact of socio-economic factors on educational attainment in secondary education
• Investigating the impact of project-based learning on student engagement and academic achievement in secondary schools
• Investigating the effects of multicultural education on cultural understanding and tolerance in secondary schools
• The influence of standardized testing on teaching practices and student learning in secondary education
• Investigating the effects of classroom management strategies on student behavior and academic engagement in secondary education
• The influence of teacher professional development on instructional practices and student outcomes in secondary schools
• The role of extracurricular activities in promoting holistic development and well-roundedness in secondary school students
• Investigating the effects of blended learning models on student engagement and achievement in secondary education
• The role of physical education in promoting physical health and well-being among secondary school students
• Investigating the effects of gender on academic achievement and career aspirations in secondary education
• Exploring the benefits of multicultural literature in promoting cultural awareness and empathy among secondary school students
• The impact of school counseling services on student mental health and well-being in secondary schools
• Exploring the benefits of vocational education and training in preparing secondary school students for the workforce
• The role of digital literacy in preparing secondary school students for the digital age
• The influence of parental involvement on academic success and well-being of secondary school students
• The impact of social-emotional learning programs on secondary school students’ well-being and academic success
• The role of character education in fostering ethical and responsible behavior in secondary school students
• Examining the effects of digital citizenship education on responsible and ethical technology use among secondary school students
• The impact of parental involvement in school decision-making processes on student outcomes in secondary schools
• The role of educational technology in promoting personalized learning experiences in secondary schools
• The impact of inclusive education on the social and academic outcomes of students with disabilities in secondary schools
• The influence of parental support on academic motivation and achievement in secondary education
• The role of school climate in promoting positive behavior and well-being among secondary school students
• Examining the effects of peer mentoring programs on academic achievement and social-emotional development in secondary schools
• Examining the effects of teacher-student relationships on student motivation and achievement in secondary schools
• Exploring the benefits of service-learning programs in promoting civic engagement among secondary school students
• The impact of educational policies on educational equity and access in secondary education
• Examining the effects of homework on academic achievement and student well-being in secondary education
• Investigating the effects of different assessment methods on student performance in secondary schools
• Examining the effects of single-sex education on academic performance and gender stereotypes in secondary schools
• The role of mentoring programs in supporting the transition from secondary to post-secondary education

Tertiary Education

• The role of student support services in promoting academic success and well-being in higher education
• The impact of internationalization initiatives on students’ intercultural competence and global perspectives in tertiary education
• Investigating the effects of active learning classrooms and learning spaces on student engagement and learning outcomes in tertiary education
• Exploring the benefits of service-learning experiences in fostering civic engagement and social responsibility in higher education
• The influence of learning communities and collaborative learning environments on student academic and social integration in higher education
• Exploring the benefits of undergraduate research experiences in fostering critical thinking and scientific inquiry skills
• Investigating the effects of academic advising and mentoring on student retention and degree completion in higher education
• The role of student engagement and involvement in co-curricular activities on holistic student development in higher education
• The impact of multicultural education on fostering cultural competence and diversity appreciation in higher education
• The role of internships and work-integrated learning experiences in enhancing students’ employability and career outcomes
• Examining the effects of assessment and feedback practices on student learning and academic achievement in tertiary education
• The influence of faculty professional development on instructional practices and student outcomes in tertiary education
• The influence of faculty-student relationships on student success and well-being in tertiary education
• The impact of college transition programs on students’ academic and social adjustment to higher education
• The impact of online learning platforms on student learning outcomes in higher education
• The impact of financial aid and scholarships on access and persistence in higher education
• The influence of student leadership and involvement in extracurricular activities on personal development and campus engagement
• Exploring the benefits of competency-based education in developing job-specific skills in tertiary students
• Examining the effects of flipped classroom models on student learning and retention in higher education
• Exploring the benefits of online collaboration and virtual team projects in developing teamwork skills in tertiary students
• Investigating the effects of diversity and inclusion initiatives on campus climate and student experiences in tertiary education
• The influence of study abroad programs on intercultural competence and global perspectives of college students
• Investigating the effects of peer mentoring and tutoring programs on student retention and academic performance in tertiary education
• Investigating the effectiveness of active learning strategies in promoting student engagement and achievement in tertiary education
• Investigating the effects of blended learning models and hybrid courses on student learning and satisfaction in higher education
• The role of digital literacy and information literacy skills in supporting student success in the digital age
• Investigating the effects of experiential learning opportunities on career readiness and employability of college students
• The impact of e-portfolios on student reflection, self-assessment, and showcasing of learning in higher education
• The role of technology in enhancing collaborative learning experiences in tertiary classrooms
• The impact of research opportunities on undergraduate student engagement and pursuit of advanced degrees
• Examining the effects of competency-based assessment on measuring student learning and achievement in tertiary education
• Examining the effects of interdisciplinary programs and courses on critical thinking and problem-solving skills in college students
• The role of inclusive education and accessibility in promoting equitable learning experiences for diverse student populations
• The role of career counseling and guidance in supporting students’ career decision-making in tertiary education
• The influence of faculty diversity and representation on student success and inclusive learning environments in higher education

Education-Related Dissertations & Theses

While the ideas we’ve presented above are a decent starting point for finding a research topic in education, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses in the education space to see how this all comes together in practice.

Below, we’ve included a selection of education-related research projects to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• From Rural to Urban: Education Conditions of Migrant Children in China (Wang, 2019)
• Energy Renovation While Learning English: A Guidebook for Elementary ESL Teachers (Yang, 2019)
• A Reanalyses of Intercorrelational Matrices of Visual and Verbal Learners’ Abilities, Cognitive Styles, and Learning Preferences (Fox, 2020)
• A study of the elementary math program utilized by a mid-Missouri school district (Barabas, 2020)
• Instructor formative assessment practices in virtual learning environments : a posthumanist sociomaterial perspective (Burcks, 2019)
• Higher education students services: a qualitative study of two mid-size universities’ direct exchange programs (Kinde, 2020)
• Exploring editorial leadership : a qualitative study of scholastic journalism advisers teaching leadership in Missouri secondary schools (Lewis, 2020)
• Selling the virtual university: a multimodal discourse analysis of marketing for online learning (Ludwig, 2020)
• Advocacy and accountability in school counselling: assessing the use of data as related to professional self-efficacy (Matthews, 2020)
• The use of an application screening assessment as a predictor of teaching retention at a midwestern, K-12, public school district (Scarbrough, 2020)
• Core values driving sustained elite performance cultures (Beiner, 2020)
• Educative features of upper elementary Eureka math curriculum (Dwiggins, 2020)
• How female principals nurture adult learning opportunities in successful high schools with challenging student demographics (Woodward, 2020)
• The disproportionality of Black Males in Special Education: A Case Study Analysis of Educator Perceptions in a Southeastern Urban High School (McCrae, 2021)

As you can see, these research topics are a lot more focused than the generic topic ideas we presented earlier. So, in order for you to develop a high-quality research topic, you’ll need to get specific and laser-focused on a specific context with specific variables of interest.  In the video below, we explore some other important things you’ll need to consider when crafting your research topic.

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70 Comments

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Special education

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Research title related to school of students

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Research title related to students

My field is research measurement and evaluation. Need dissertation topics in the field

Assalam o Alaikum I’m a student Bs educational Resarch and evaluation I’m confused to choose My thesis title please help me in choose the thesis title

Good idea I’m going to teach my colleagues

You can find our list of nursing-related research topic ideas here: https://gradcoach.com/research-topics-nursing/

Write on action research topic, using guidance and counseling to address unwanted teenage pregnancy in school

Thanks a lot

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parental involvement and students academic performance

Science education topics?

plz tell me if you got some good topics, im here for finding research topic for masters degree

How about School management and supervision pls.?

Hi i am an Deputy Principal in a primary school. My wish is to srudy foe Master’s degree in Education.Please advice me on which topic can be relevant for me. Thanks.

Thank you so much for the information provided. I would like to get an advice on the topic to research for my masters program. My area of concern is on teacher morale versus students achievement.

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Kindly help me with the research questions on the topic” Effects of workplace conflict on the employees’ job performance”. The effects can be applicable in every institution,enterprise or organisation.

Greetings, I am a student majoring in Sociology and minoring in Public Administration. I’m considering any recommended research topic in the field of Sociology.

I’m a student pursuing Mphil in Basic education and I’m considering any recommended research proposal topic in my field of study

Research Defense for students in senior high

Kindly help me with a research topic in educational psychology. Ph.D level. Thank you.

Project-based learning is a teaching/learning type,if well applied in a classroom setting will yield serious positive impact. What can a teacher do to implement this in a disadvantaged zone like “North West Region of Cameroon ( hinterland) where war has brought about prolonged and untold sufferings on the indegins?

I wish to get help on topics of research on educational administration

I wish to get help on topics of research on educational administration PhD level

I am also looking for such type of title

I am a student of undergraduate, doing research on how to use guidance and counseling to address unwanted teenage pregnancy in school

the topics are very good regarding research & education .

Am an undergraduate student carrying out a research on the impact of nutritional healthy eating programs on academic performance in primary schools

Can i request your suggestion topic for my Thesis about Teachers as an OFW. thanx you

Would like to request for suggestions on a topic in Economics of education,PhD level

Would like to request for suggestions on a topic in Economics of education

Hi 👋 I request that you help me with a written research proposal about education the format

Am offering degree in education senior high School Accounting. I want a topic for my project work

l would like to request suggestions on a topic in managing teaching and learning, PhD level (educational leadership and management)

request suggestions on a topic in managing teaching and learning, PhD level (educational leadership and management)

I would to inquire on research topics on Educational psychology, Masters degree

I am PhD student, I am searching my Research topic, It should be innovative,my area of interest is online education,use of technology in education

request suggestion on topic in masters in medical education .

Look at British Library as they keep a copy of all PhDs in the UK Core.ac.uk to access Open University and 6 other university e-archives, pdf downloads mostly available, all free.

May I also ask for a topic based on mathematics education for college teaching, please?

Please I am a masters student of the department of Teacher Education, Faculty of Education Please I am in need of proposed project topics to help with my final year thesis

Am a PhD student in Educational Foundations would like a sociological topic. Thank

please i need a proposed thesis project regardging computer science

Greetings and Regards I am a doctoral student in the field of philosophy of education. I am looking for a new topic for my thesis. Because of my work in the elementary school, I am looking for a topic that is from the field of elementary education and is related to the philosophy of education.

Masters student in the field of curriculum, any ideas of a research topic on low achiever students

In the field of curriculum any ideas of a research topic on deconalization in contextualization of digital teaching and learning through in higher education

Amazing guidelines

I am a graduate with two masters. 1) Master of arts in religious studies and 2) Master in education in foundations of education. I intend to do a Ph.D. on my second master’s, however, I need to bring both masters together through my Ph.D. research. can I do something like, ” The contribution of Philosophy of education for a quality religion education in Kenya”? kindly, assist and be free to suggest a similar topic that will bring together the two masters. thanks in advance

Hi, I am an Early childhood trainer as well as a researcher, I need more support on this topic: The impact of early childhood education on later academic success.

I’m a student in upper level secondary school and I need your support in this research topics: “Impact of incorporating project -based learning in teaching English language skills in secondary schools”.

Although research activities and topics should stem from reflection on one’s practice, I found this site valuable as it effectively addressed many issues we have been experiencing as practitioners.

Your style is unique in comparison to other folks I’ve read stuff from. Thanks for posting when you have the opportunity, Guess I will just book mark this site.

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Speaker 1: One of the most frequently asked questions that I am asked all the time across my social media platforms, across my YouTube, across my comments, is about the research process. So how do you start? Where do you even begin? You need to submit a dissertation, you need to submit a research proposal, you need to think of a hypothesis, you need to think of a problem statement, you need to find a gap in literature where do you even begin with the whole research process now it isn't as hard as it seems it's just one of those things that you're never told or you're never taught how to do it's one of those things that you just kind of figure out so hopefully in today's video i will be talking to you about the overview and kind of a quick beginner's guide to the research process, giving you the steps of how you get from zero to having something, having a question, having a hypothesis, having somewhere to start. I'm going to be making this into a bit of a series so in today's video I'm going to be giving you an overview as to the different chapters, the different sections of the process, how you get from nothing to something and then in the following videos I will be going through each of those sections in a bit more detail and hopefully if you are someone who is within one of those kind of parts you can just jump to that video and have a have a quick quick watch if you are someone who is just starting off then this is the best place for you to begin have a little think about how you're going to navigate your research process and how you're going to get from the start to the end it is not difficult but it does require a few steps, a few technicalities, which I'll talk you through today. I'll leave the timestamps down below so you feel free to go and jump to the different sections that you are interested in watching. And if you do enjoy this kind of video and you want to see the rest of the videos from me, then don't forget to subscribe to see more on my channel. So step number one is to choose a topic. Now this is the beginning of something beautiful. This is where you choose what you're actually going to be studying and when you're actually going to be reading about now it's really important that you have chosen a topic that you are interested in that there is an interest in within the research space that has something missing so you don't want to choose a topic that we know everything about you want to choose a topic that we don't know everything about and there are things that we want to try to find more about you want to choose a topic that is within your university guidelines so as much as i would love to do a research on the solar system about space well if my course is to do with cell biology well then i can't so you have to think about your limits think about what you are allowed to do within your university guidelines as well but you do need to think about taking that broad topic and making it into something a bit more narrow so it's not good enough to just say i want to do research on alzheimer's okay alzheimer's fine you've got a topic, but you now need to narrow it down. So what about it are you looking at? Are you looking at the risk factors? Are you looking at what happens once you have Alzheimer's? Are you looking at a specific group of people? Are you looking at a specific cell type? What is it that you are looking at? You need to narrow that down. In order to narrow it down, you need to do a bit of a literature search. So whilst choosing a topic, whilst in this first stage, you need to look at literature. So to find literature you want to go to different websites where you have literature and this could be for example Google Scholar is a good place to start, PubMed is a good place to start. These are places where you can find literature about that topic and kind of read around the subject and identify whether firstly is it something that you are actually interested in and secondly is there enough information for you to gather to be able to write your literature review in the future so that first step your first step of your research process is thinking about the topic because without a topic you there's nothing you can't do anything else so the first step has to always be to find a topic and think about it now once you've thought about a topic and you've narrowed it down to the thing that you're interested in at this stage you will then go to your supervisor to your lecturer to your professor to your mentor to your tutor and you will ask them do you think this is a good topic and that is where you will get some feedback and most likely you'll have to go back have another think or try to refine a bit more or try to think about it in a different way but that is always the first step. In the video that I make about finding a good topic we'll talk about it in a lot more depth but to start off with to introduce this is always the first step. So the second step is to identify a problem and this is what we like to call in as you know in research the gap in literature. So a problem slash gap in literature is the part of research that we that is missing. So when you do research in fact in order to graduate from a PhD you have to and this is one of the criteria you have to produce research it has to be in a thesis or in a in a published paper it has to be research it has to be a finding that is new something that we do not know before we did not know before your research right and that is the number one criteria for for actually getting a phd it is the fact that it has to be something new has to be something novel that you have discovered okay so you need to think about the gap in literature where is there a missing piece i understand this i understand that we know this we know that but what is there that we don't quite know and that is the bit that you are then going to try to identify during your research process right chosen a topic now we need to find the problem where is the missing information now in order to do this you need to have read a lot of papers around your topic. So that's why I said initially, you need to have had approval from your committee, from your tutor, your supervisor to say, right, that's okay. It's good for me to go there. Now you've got that topic that you're looking at. You then want to try to find the gap. Where are you going to slot in? What is it that you are going to provide in terms of knowledge? Now, the identifying a problem is actually quite an important and quite critical part of the research process it's almost impossible you to continue on with your research without having identified the problem because if you don't have a problem you don't know what it is you're looking at you don't know what methods you're using you don't know what your research question is going to be or your hypothesis so at this stage you have to have a very well-defined research problem and your question in order to continue on to the next steps so when i say research problem and we'll talk about this more in in the following video that i'm going to produce about it but when i talk about research problem it could be a number of different things so it could be that we understand or we have the knowledge of a certain situation but now you're comparing it to a different situation so it could be more theoretical where you're comparing two things to each other that haven't been compared before so that would be fine as long as what you have is something original or you may be trying to explore a specific relationship let's say for example in my case with my PhD I was looking at two different proteins and the relationship between them so that is one type of research that you can do as well and so just think about your topic and think about where the gap is in the literature you have to read a lot to be able to find this and a question I get a lot emailed to me and directed to me is about this problem so how do I find a problem like how do i find a gap in literature and it's almost impossible for me to to give you any answers because i have to have read all the papers within your topic in order to answer that question which is almost impossible so it's something that you have to do independently and you can always discuss with me you can discuss kind of trying to refine that question but for the most part you need to read around your subject yourself to get that question then step number three is to actually write down your research question now this is usually in the form maybe of a hypothesis or maybe it could be just a you know a standalone question so this is just you saying this is what i'm looking at so i'm looking at whether actin and myosin bind together to have an impact on the motility of the cortex like that is my question and then i'll have a hypothesis saying actin and myosin bind together and they do this so this is just my question and you're just following on from your problem so you've identified your topic you found the problem the gap in literature and then you write down what your question is so what it is exactly that you are looking for and this will be like your guiding star this will be the thing the question the statement that you have at the top you know at the top of your mind whenever you are looking at literature whenever you're writing a literature review whenever you speak to someone you have that question in mind and so that needs to be something that's really well defined it should also be really specific so it can't just be saying is obesity caused by i don't know fatty food i'm just giving a random example that is too vague is obesity in children in male in female different ages what fatty foods what like you need to be very very specific so specific that someone else should be able to pick up your research question and know what it is you're looking at they need to be able to know sort of what methods you're using is it qualitative or is it quantitative what type of research are you actually doing that should really be in the research question so a good research question is one where that is really well defined then step number four is to write a research design so this is where you're kind of creating a bit of a method a bit of a process within a process so you are now writing down and you're now thinking about how you're going to conduct this research so to follow this will be the research proposal but at this stage here you're just thinking about your research design so how are you going to get this research done what are the factors that you need to think about who are the people the participants that you may need are you doing a lab-based thing do you need cells are you you know what do you need humans do you need animals is it just a review paper so do you just need to think about researchers out there what kind of study are you going to conduct in order to find out the results and the answer to your question essentially the research design is a practical framework so it's giving laying out that frame for you in order to answer your research question. And here, it's more of a thinking process. It's more of a discussion. You might want to ask your supervisor, you might want to ask your tutor to talk about it. How are we going to get the answer to this question? And then to finish off the research process, you now want to write a research proposal. And I have a really good video about this, and I'll leave the link for it down below, where you are detailing all the steps for your research so you're detailing your the background of your research the literature review and you're justifying that there is a need for this research you then want to detail your methods your materials the aim your you know your timeline how long it's going to take you to do these things and then that document is what you take with you to your supervisor and say look this is my research proposal you might take it to a potential phd supervisor and say look this is what i've found and this is what i'm really interested in and here is the proposal and you have it all outlined there for you or it's a document that you're able to use in order to build upon your dissertation and so if you're writing an essay dissertation you are able to use that as well so with your research proposal you are detailing the context you are detailing the purpose the plan and your aims the whole process going from finding a topic finding a problem finding the research question defining the actual research and then now you're compiling all of that and you're putting it into a document called the research proposal and all of this information is in there someone should be able to pick that up see what you found find the review of the literature and say right this is a good study this is a good bit of research we are going to approve this and then you can go on and plan the rest of your research so i hope this video helped you summarizing the steps of the research process to begin with and as i mentioned i'm going to be doing each of these five steps as single videos so i can expand on them and i'll make it into a playlist so you're able to sort of follow up and click on the next couple videos but for now i hope this did help with thinking about the research process and thinking about maybe what stage you are at if you are at any of them if you do want further support you can contact me on thepagedoctor.com where i give support and we have a team of consultants top consultants and top editors that can support you through the process of writing your research proposal or even through the post process of thinking about how you're going to find a gap in literature how you're going to find you know your hypothesis and define that for you so don't forget to leave me a comment and let me know if this was helpful and don't forget to leave me a thumbs up and subscribe to see more from me and I'll see you in my next one. Bye.

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How to Choose a Dissertation Topic | 8 Steps to Follow

Published on November 11, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

Choosing your dissertation topic is the first step in making sure your research goes as smoothly as possible. When choosing a topic, it’s important to consider:

• Your institution and department’s requirements
• Your areas of knowledge and interest
• The scientific, social, or practical relevance
• The availability of data and resources
• The timeframe of your dissertation
• The relevance of your topic

You can follow these steps to begin narrowing down your ideas.

Table of contents

Step 1: check the requirements, step 2: choose a broad field of research, step 3: look for books and articles, step 4: find a niche, step 5: consider the type of research, step 6: determine the relevance, step 7: make sure it’s plausible, step 8: get your topic approved, other interesting articles, frequently asked questions about dissertation topics.

The very first step is to check your program’s requirements. This determines the scope of what it is possible for you to research.

• Is there a minimum and maximum word count?
• When is the deadline?
• Should the research have an academic or a professional orientation?
• Are there any methodological conditions? Do you have to conduct fieldwork, or use specific types of sources?

Some programs have stricter requirements than others. You might be given nothing more than a word count and a deadline, or you might have a restricted list of topics and approaches to choose from. If in doubt about what is expected of you, always ask your supervisor or department coordinator.

Start by thinking about your areas of interest within the subject you’re studying. Examples of broad ideas include:

• Twentieth-century literature
• Economic history
• Health policy

To get a more specific sense of the current state of research on your potential topic, skim through a few recent issues of the top journals in your field. Be sure to check out their most-cited articles in particular. For inspiration, you can also search Google Scholar , subject-specific databases , and your university library’s resources.

As you read, note down any specific ideas that interest you and make a shortlist of possible topics. If you’ve written other papers, such as a 3rd-year paper or a conference paper, consider how those topics can be broadened into a dissertation.

After doing some initial reading, it’s time to start narrowing down options for your potential topic. This can be a gradual process, and should get more and more specific as you go. For example, from the ideas above, you might narrow it down like this:

• Twentieth-century literature   Twentieth-century Irish literature   Post-war Irish poetry
• Economic history   European economic history   German labor union history
• Health policy   Reproductive health policy   Reproductive rights in South America

All of these topics are still broad enough that you’ll find a huge amount of books and articles about them. Try to find a specific niche where you can make your mark, such as: something not many people have researched yet, a question that’s still being debated, or a very current practical issue.

At this stage, make sure you have a few backup ideas — there’s still time to change your focus. If your topic doesn’t make it through the next few steps, you can try a different one. Later, you will narrow your focus down even more in your problem statement and research questions .

There are many different types of research , so at this stage, it’s a good idea to start thinking about what kind of approach you’ll take to your topic. Will you mainly focus on:

• Collecting original data (e.g., experimental or field research)?
• Analyzing existing data (e.g., national statistics, public records, or archives)?
• Interpreting cultural objects (e.g., novels, films, or paintings)?
• Comparing scholarly approaches (e.g., theories, methods, or interpretations)?

Many dissertations will combine more than one of these. Sometimes the type of research is obvious: if your topic is post-war Irish poetry, you will probably mainly be interpreting poems. But in other cases, there are several possible approaches. If your topic is reproductive rights in South America, you could analyze public policy documents and media coverage, or you could gather original data through interviews and surveys .

You don’t have to finalize your research design and methods yet, but the type of research will influence which aspects of the topic it’s possible to address, so it’s wise to consider this as you narrow down your ideas.

It’s important that your topic is interesting to you, but you’ll also have to make sure it’s academically, socially or practically relevant to your field.

• Academic relevance means that the research can fill a gap in knowledge or contribute to a scholarly debate in your field.
• Social relevance means that the research can advance our understanding of society and inform social change.
• Practical relevance means that the research can be applied to solve concrete problems or improve real-life processes.

The easiest way to make sure your research is relevant is to choose a topic that is clearly connected to current issues or debates, either in society at large or in your academic discipline. The relevance must be clearly stated when you define your research problem .

Before you make a final decision on your topic, consider again the length of your dissertation, the timeframe in which you have to complete it, and the practicalities of conducting the research.

Will you have enough time to read all the most important academic literature on this topic? If there’s too much information to tackle, consider narrowing your focus even more.

Will you be able to find enough sources or gather enough data to fulfil the requirements of the dissertation? If you think you might struggle to find information, consider broadening or shifting your focus.

Do you have to go to a specific location to gather data on the topic? Make sure that you have enough funding and practical access.

Last but not least, will the topic hold your interest for the length of the research process? To stay motivated, it’s important to choose something you’re enthusiastic about!

Most programmes will require you to submit a brief description of your topic, called a research prospectus or proposal .

Remember, if you discover that your topic is not as strong as you thought it was, it’s usually acceptable to change your mind and switch focus early in the dissertation process. Just make sure you have enough time to start on a new topic, and always check with your supervisor or department.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

You can assess information and arguments critically by asking certain questions about the source. You can use the CRAAP test , focusing on the currency , relevance , authority , accuracy , and purpose of a source of information.

Ask questions such as:

• Who is the author? Are they an expert?
• Why did the author publish it? What is their motivation?
• How do they make their argument? Is it backed up by evidence?

A dissertation prospectus or proposal describes what or who you plan to research for your dissertation. It delves into why, when, where, and how you will do your research, as well as helps you choose a type of research to pursue. You should also determine whether you plan to pursue qualitative or quantitative methods and what your research design will look like.

It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives , ready to be approved by your supervisor or committee.

Note that some departments require a defense component, where you present your prospectus to your committee orally.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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Research Paper Topics for 2024: Explore Ideas Across Various Fields

When you start writing a research paper, it’s like diving into a big pool of exploration and analysis. A good research paper goes beyond just gathering facts. It’s more about exploring a topic, asking the right questions, and coming up with thoughtful answers. Whether you're looking at historical events, scientific discoveries, or cultural trends, the trick is to find interesting research topics that catch your interest and keep you motivated throughout the process.

This article is here to help with that sometimes tricky job of picking a topic. We’ll cover a variety of interesting research topics from different areas, making it easier for you to find one that not only fits your assignment but also grabs your attention.

But let’s be honest, picking the right topic isn’t always easy. If you’re still unsure after reading this article, EssayService is a great place to turn for help, whether you need assistance choosing a topic or writing the entire paper.

How to Pick a Topic for a Research Paper

Choosing the right topic can make or break your research paper. Here's how to make it easier:

• Start with your interests: Pick a few areas or subjects that genuinely interest you. Narrow it down to the one that excites you the most. If you’re interested, it’ll show in your writing.
• Check for resources: Before committing, do a quick search to ensure there are enough references available. You’ll want a topic that’s well-discussed so you have plenty of material to work with.
• Stick to guidelines: Make sure your topic fits within any guidelines your teacher has set. Whether it's avoiding certain subjects or meeting specific requirements, this step is crucial for getting your paper off to a good start.

If you’re looking for easy research paper topics, keep these tips in mind to ensure you choose one that’s both manageable and engaging.

What Are Good Research Topics?

Choosing a successful research topic isn’t just about what sounds interesting — it’s about finding a topic that will help you produce a strong, insightful paper. Good research topic ideas should tick a few key boxes to ensure they’re both impactful and manageable.

Best Research Paper Topics for 2024

In 2024, new challenges and innovations are shaping the world around us, making it an exciting time to dive into research. Here are 15 detailed and highly relevant topics that will keep your paper ahead of the curve:

• The impact of remote work on urban development in major U.S. cities.
• Ethical implications of AI-driven decision-making in healthcare.
• The role of social media algorithms in shaping public opinion during elections.
• Effects of climate change on global food security and crop yields.
• The influence of blockchain technology on supply chain transparency.
• Mental health outcomes related to long-term social media use among teenagers.
• Renewable energy adoption in emerging economies and its impact on local communities.
• The rise of electric vehicles and its effect on traditional automotive industries.
• Privacy concerns surrounding the use of biometric data in consumer devices.
• The evolution of cybersecurity threats in the age of quantum computing.
• Gender disparities in STEM education and their long-term effects on the workforce.
• The economic impact of climate migration on coastal regions.
• Implications of CRISPR technology in human genetic modification.
• The effectiveness of universal basic income trials in reducing poverty.
• The role of telemedicine in improving access to healthcare in rural areas.

College Research Paper Topics

These topics explore some of the most relevant and intriguing issues facing college students today, offering plenty of angles to explore in your research:

• How student loan debt shapes career paths and financial stability after graduation.
• Comparing online learning to traditional classrooms: What works best for today’s college students?
• Social media’s influence on mental health and academic success among college students.
• Diversity and inclusion: How initiatives are changing campus life and student experiences.
• University sustainability efforts: How climate change is driving new campus policies.
• The rise of esports: Transforming college athletics and student engagement.
• Campus housing: How living arrangements affect academic success and student retention.
• Balancing part-time jobs with academics: The impact on college students’ grades and well-being.
• Navigating controversial topics: The importance of academic freedom in college debates.
• Digital vs. traditional libraries: How technology is reshaping student research habits.
• Study abroad programs: Enhancing global awareness and boosting future career opportunities.
• Evaluating campus mental health services: Are they meeting students’ needs?
• Fraternities and sororities: Examining their influence on college culture and student life.
• Free college tuition: Exploring the economic and social outcomes in different countries.
• Standardized testing: How it’s affecting college admissions and the diversity of student bodies.

Research Paper Topics By Subject

Choosing a good research topic that aligns with your academic focus can make your work more relevant and engaging. Below, you’ll find topics organized by subject to help you get started.

Research Paper Topics on Health

Health is a dynamic field with ongoing developments and challenges, making it a rich area for research. These topics cover a range of health-related issues, from public health policies to advancements in medical technology:

• How COVID-19 has changed the approach to mental health care.
• Adoption rates of telemedicine among different age groups.
• Antibiotic-resistant bacteria: Exploring new treatment options.
• Barriers to healthcare access in low-income neighborhoods.
• Ethical dilemmas in using genetic testing for personalized treatments.
• Success rates of mental health programs in high schools.
• Comparing dietary patterns in managing type 2 diabetes across cultures.
• Teen vaping trends and their connection to lung health issues.
• Strategies for supporting healthcare needs in rapidly aging populations.
• Tracking climate-related health issues in coastal communities.
• Innovations in vaccine development for emerging diseases.
• Social isolation during pandemics and its link to anxiety disorders.
• Recent changes in U.S. healthcare laws and their influence on patient choices.
• Exploring how traditional beliefs shape approaches to medical treatment.
• Evaluating progress in global vaccination campaigns against childhood diseases.

Research Paper Topics on Medicine

Medicine is a vast field with plenty of areas to explore. Here are some specific topics that focus on medical advancements, practices, and challenges:

• New techniques in minimally invasive surgery for heart conditions.
• Developments in gene therapy for treating inherited diseases.
• Challenges in diagnosing and treating rare diseases.
• The role of AI in improving diagnostic accuracy in radiology.
• Progress in personalized cancer treatments based on genetic profiling.
• The rise of antibiotic alternatives in treating infections.
• Stem cell research advancements for spinal cord injuries.
• Managing chronic pain: Exploring non-opioid treatment options.
• Trends in telemedicine for rural healthcare delivery.
• Breakthroughs in vaccine technology for emerging viruses.
• Long-term outcomes of organ transplants in pediatric patients.
• Advances in robotic surgery and their impact on patient recovery.
• New approaches to treating drug-resistant tuberculosis.
• Innovations in prenatal care and fetal surgery techniques.
• The future of regenerative medicine and tissue engineering.

Research Paper Topics on Media

Explore the ever-changing world of media with these fresh and relevant topics. Each one dives into the trends and challenges shaping how we consume and create content today.

• Analyze the impact of TikTok on modern marketing strategies.
• Investigate the role of influencers in shaping public opinion during elections.
• Explore the effects of streaming services on traditional cable TV viewership.
• Examine how social media platforms handle misinformation and its consequences.
• Study the rise of podcasts and their influence on news consumption.
• Compare the portrayal of mental health in TV shows across different cultures.
• Track the evolution of digital journalism and its impact on print media.
• Look into the ethics of deepfake technology in video production.
• Research the effects of binge-watching on viewer behavior and mental health.
• Explore the relationship between video game streaming and the gaming industry.
• Analyze the shift from traditional news outlets to social media for breaking news.
• Investigate how algorithms curate personalized content and influence user behavior.
• Study the changing landscape of advertising in the age of ad-blockers.
• Examine the role of memes in political discourse and cultural commentary.
• Explore the use of virtual reality in media and entertainment.

Research Paper Topics on Politics

Politics is a field that’s constantly evolving, with new issues and debates emerging all the time. Whether you're interested in global dynamics, domestic policies, or the role of technology in politics, there’s no shortage of interesting topics to explore:

• How social media is influencing voter behavior in recent elections.
• The rise and impact of grassroots movements on political change.
• Fake news and its role in shaping public perception of political events.
• The effects of immigration policies on relationships between countries.
• Populism’s growth in global politics and what it means for the future.
• How economic inequality contributes to political instability.
• The power of political lobbying in creating and shaping laws.
• Challenges faced by democracies under authoritarian regimes.
• Youth activism and its growing influence in modern politics.
• How climate change policies are impacting national security.
• The role of technology in improving election security and voter turnout.
• Government approval ratings and their connection to pandemic responses.
• Influence of international organizations on a country’s domestic policies.
• Shifts in global trade agreements and their effects on international relations.
• The impact of gerrymandering on election results and fairness.

Research Paper Ideas on Technology

Technology is rapidly transforming our world, offering endless opportunities for research. Here are some intriguing ideas to explore:

• The ethics of artificial intelligence in decision-making processes.
• How blockchain technology is revolutionizing financial transactions.
• The role of 5G networks in shaping the future of communication.
• Cybersecurity challenges in the era of smart homes and IoT devices.
• The environmental impact of cryptocurrency mining.
• Virtual reality’s influence on education and training programs.
• How autonomous vehicles are changing urban planning and infrastructure.
• The potential of quantum computing in solving complex global problems.
• Social media algorithms and their impact on public discourse.
• The digital divide: Access to technology in rural versus urban areas.
• How wearable tech is transforming personal health management.
• The implications of deepfake technology in media and politics.
• The future of remote work and its long-term effects on productivity.
• Advancements in drone technology for disaster management and rescue operations.
• The role of big data in personalizing online shopping experiences.

Research Topic Ideas on Culture

Whether you’re interested in examining specific cultural practices or looking at how modern trends reshape traditional customs, these research topics will provide you with a focused and detailed starting point:

• Adoption of traditional Japanese tea ceremonies in contemporary urban settings.
• Practices of food preservation among Inuit communities in the Arctic.
• The revival of Celtic languages in Wales and Ireland through education programs.
• Depiction of queer relationships in Netflix original series from 2015 to 2024.
• Evolution of traditional African hairstyles in Black communities across the U.S.
• Transformation of street art in Berlin post-German reunification.
• Cultural significance of Día de los Muertos celebrations in Mexican-American neighborhoods.
• Popularity of Korean skincare routines among Western beauty bloggers.
• Modern interpretations of Norse mythology in Scandinavian literature.
• Changes in wedding rituals among Indian diaspora in the UK.
• Resurgence of indigenous Australian painting techniques in contemporary art.
• Representation of disability in children’s books published in the last decade.
• Use of traditional Māori patterns in New Zealand’s fashion industry.
• Changes in burial customs in urbanized areas of Southeast Asia.
• Incorporation of First Nations symbols in Canadian public architecture.

Research Paper Topics on Math

If you're looking to explore the depth and applications of math, these research topics are both specific and engaging:

• Applications of fractal geometry in modeling natural phenomena.
• Mathematical approaches to solving complex optimization problems in logistics.
• Development of new algorithms for large-scale data encryption.
• Mathematical modeling of population dynamics in ecology.
• The use of game theory in economic decision-making processes.
• Exploring the mathematics behind machine learning algorithms.
• Advancements in numerical methods for solving partial differential equations.
• Topological data analysis and its applications in computational biology.
• Mathematical analysis of voting systems and fairness.
• The role of number theory in modern cryptography.
• Predictive models for financial markets using stochastic calculus.
• Mathematical foundations of quantum computing and quantum algorithms.
• Applications of chaos theory in weather prediction.
• Geometry of space-time in the context of general relativity.
• Mathematical techniques for analyzing big data in social networks.

Research Paper Topics on Art

Art is full of fascinating details and stories waiting to be explored. If you’re into art research, here are some research topics that might catch your interest:

• How Caravaggio used light and shadow in his religious paintings.
• The way Cubism shaped Picasso’s "Les Demoiselles d’Avignon."
• Gustav Klimt’s "The Kiss" and its ties to Viennese culture.
• Hokusai’s woodblock techniques in "The Great Wave off Kanagawa."
• Bauhaus principles that still influence graphic design today.
• Emotions and color in Mark Rothko’s abstract paintings.
• Leonora Carrington’s role in the Surrealist movement.
• Gaudí’s architectural genius in designing La Sagrada Familia.
• Industrial scenes captured in Charles Sheeler’s Precisionist art.
• Jean-Michel Basquiat’s take on graffiti and cultural identity.
• Frida Kahlo’s evolving self-portraits through her life.
• Claude Monet’s unique use of light in his Impressionist works.
• Diego Rivera’s murals as powerful political statements.
• The simplicity and impact of Donald Judd’s minimalist sculptures.
• How African art influenced Henri Matisse during his Fauvist period.

Research Topics on Sports

Sports offer a wide range of topics that are both intriguing and highly relevant. Here are some specific research ideas to consider if you're looking to explore the world of sports:

• The biomechanics behind sprinting techniques in elite athletes.
• The psychological effects of team sports on adolescent development.
• Injury prevention strategies in professional football (soccer).
• The impact of altitude training on endurance performance in marathon runners.
• Gender equity in sports: The evolution of women’s participation in the Olympics.
• The role of nutrition in recovery and performance for endurance athletes.
• How advanced analytics are changing strategies in basketball.
• The effects of early specialization in youth sports on long-term athletic development.
• The influence of sports media coverage on public perceptions of athletes.
• Technology in sports: The use of wearable devices to monitor athlete performance.
• Doping scandals and their long-term impact on athletes' careers.
• Mental health challenges faced by retired professional athletes.
• The economics of hosting major sporting events like the World Cup or Olympics.
• How climate change is affecting outdoor sports events and training schedules.
• The evolution of sports science in enhancing athlete training programs.

In 2024, some of the most popular research topics include the impact of technology on sports, the psychological aspects of team dynamics, and the evolution of gender equity in athletics. 

If you’re still unsure about which topic to choose or need help with your essay, EssayService is a great option. Our research paper writing service can assist with everything from selecting the perfect topic to crafting a well-written paper, making the whole process a lot easier.

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117 Awesome Fashion Research Topics: Inspirational Ideas List

Finding some decent fashion research topics that you can use for your next papers is not easy nowadays. You want something new, something original. Your classmates are probably scouring the Internet as we speak, so why are you still wasting time? Take a look at our long list of 117 exceptional fashion research topics and choose the best one right now.

What makes our topics different, you ask? Our experts are constantly updating the list and adding new ideas. This means you will always be able to find an original idea here on this page. We will soon be adding new topics for 2023, so stay tuned!

What Is The Fashion Research Paper?

Keep in mind that finding some great fashion topics to write about is not enough. You need to be able to create a well-organized, concise research paper. To help you do just that, we will show you the 8 main parts of a research paper:

Title page (or cover page) Start with a hook to catch the attention of your readers, then talk a bit about the background of the problem and present your thesis. Literature review. Here, you will need to demonstrate that you have analyzed the literature related to the topic and that there is a gap in knowledge that needs to be addressed. Research In this section, you will explain in great detail all the methods you have used to gather the data. Be as specific as possible. Data analysis. This is the section where you present and analyze the data. Be objective and avoid discussing the results. This is the section where you can discuss your findings and prove how your research results back your thesis. Don’t forget to acknowledge the limitations of your research. Restate your thesis and summarize your research and findings. Show your readers how your findings answer the research questions. References page. This is where you list all the resources you have used to write your research Make sure you don’t miss any.

Now that you know the overall structure of a research paper, it’s time to give you some excellent topics to write about:

Brand New Fashion Research Paper Topics

We will start our list with the brand new fashion research paper topics. These have been added to the list recently, so you can pick one right now knowing that it’s original:

• Fashion in Ancient Rome
• The impact of Jane Austen on the world of fashion
• Swimwear in the 1980s
• Using bizarre colors in fashion
• The rise and fall of the jeans
• Peer pressure related to fashion trends
• Social networking and fashion
• The life and work of Giorgio Armani
• Talk about hippie fashion
• Fashion in Islamic religions

Interesting Fashion Topics To Write About

If you are looking for something out of the ordinary, we have a long list of interesting fashion topics to write about. Take a look at the following ideas:

• The rise of the Chanel brand
• Does price reflect quality?
• Fashion in Ancient Egypt
• The sense of fashion in women
• The link between art and fashion
• Discuss ethics in fashion
• The relationship between style and money
• The role of clothes in your culture
• Interesting fashion hacks

Fashion Research Topics 2023

In the fashion research topics 2023, you can find topics that were greatly appreciated in 2023. These may or may not be as appreciated in 2024 though:

• Fashion in developing countries
• Research smart casual fashion
• Compare Asian fashion with American fashion
• Fashion and aesthetics
• Marketing a new brand of clothes
• Fashion in vlogging
• What are cycles in fashion?
• The rise of the Versace empire
• Fashion in Paris

Advanced Fashion Topics To Discuss

We also have a list of more advanced fashion topics to discuss. Just keep in mind that the following topics are not easy to write about. But as an option, you can buy a dissertation on any topic.

• Negative effects of fashion on the environment
• Forecasting new trends in 2023
• Celebrities and fashion
• Negative effects of fashion on the human psychology
• Influencer marketing of fashion products
• Fashion from a religious standpoint
• The place of leather in fashion in 2023
• Largest fashion shows in the world
• The importance of Fashion Weeks in Eastern Europe

Fun Research Topics On Fashion

Who said a research paper can’t be fun? Choose one of these fun research topics on fashion and start writing the perfect paper today:

• Fashion in 1990s media
• Funny fashion mishaps
• Men in fashion advertisements/commercials
• Fashion in medieval times
• Crossover fashion in 2023
• Can you start a fashion business?
• Fashion in the royal family (the UK)
• Fashion and school uniforms

Important People In Fashion

One of the easiest ways to write a research paper in the field of fashion is to research an icon. Here are some important people in a fashion that you can talk about:

• Karl Lagerfeld
• Stella McCartney
• Audrey Hepburn
• David Bowie
• Princess Diana
• Charles Frederick Worth
• Harry Styles
• Kim Taehyung
• Coco Chanel
• Designer Paul Poiret

Fashion Research Paper Topics For High School

If you are a high school student, you need some easier topics to write on. Check out these fashion research paper topics for high school and pick the one you like:

• Fashion in Ancient Egyptian times
• Michael Jackson’s fashion
• Fashion in Western Europe
• Fashion at the workplace
• Fashion in schools in the UK
• Discuss fashion in North Korea
• Luxury products and the human brain
• Fashion trends and the science that explains them

Captivating Fashion Design Research Paper Topics

In case you want to discuss fashion design, we have a nice list of captivating fashion design research paper topics right here. All these topics are, of course, 100% free to use:

• Fashion in the LGBTQ community
• Fashion in Nazi Germany
• Fun facts about beachwear
• The role of Versace in fashion
• New York as a fashion center
• Effects of Tik-Tok on fashion
• The origins of ethnic clothing
• Mixing 3 styles the right way
• Fashion and sexism in 2023

Fast Fashion Research Paper Topics

Don’t want to spend a lot of time working on that research paper? No problem! Simply choose one of these fast fashion research paper topics:

• The role of politics in fashion in the United States
• Talk about wedding ceremony fashion
• Talk about trends in baby clothing in the United Kingdom
• The role celebrities play in fashion marketing
• Talk about 3 iconic fashion characters
• An in-depth look at fashion in the punk world

Fashion Topics To Research In 2023

It’s time to think about the topics that should work great in 2023. In fact, our experts have already compiled a list of fashion topics to research in 2023:

• Talk about the notion of “invisible branding” in fashion
• Research women’s fashion in the 1980s
• The role played by art in fashion trends
• Research 3 major fashion companies
• Talk about the low rise fashion trend
• Discuss the women’s oversized bomber jackets trend

Fashion And Marketing Research Topics

As you probably know, fashion and marketing go hand in hand. Take a look at our latest and most interesting fashion and marketing research topics right here:

• Fashion marketing on social media
• Fashion marketing in the 1960s
• Effective marketing strategies for luxury products
• Style vs. functionality in marketing
• Marketing and fashion cycles
• The role of fashion in TV commercials

Fashion Ideas For College Students

College students should research topics that are more complex in nature. Don’t worry though; we have more than enough fashion ideas for college students:

• Research the hoodies under blazers fashion trend
• Compare Asian and European fashion
• Research Jane Austen’s style
• A closer look at minimalist fashion
• The beginning of the Haute Couture
• Fashion and the Internet

Unique Ideas Related To Fashion

This list of topics has been revised recently to make sure all ideas are unique. So, if you’re looking for unique ideas related to fashion, you have definitely arrived at the right place:

• Analyze the cropped cardigans trend
• Research the plus-size fashion industry in Indonesia
• The impact of feminism on fashion
• Social issues caused by fashion
• Fashion and cheap labor
• Effects of religion on fashion

Easy Fashion Essay Topics

If you want to make sure you ace that research paper, you should find an easy topic to talk about. Take a look at these easy fashion essay topics and pick one today:

• Discuss the notion of “color blocking”
• Fashion trends during World War II
• The evolution of men’s suits over the last 100 years
• Fashion and child labor
• What is organic clothing?
• Talk about the rise of wig fashion

Creative Fashion Research Questions

Professors really appreciate creativity, so you should definitely go through this list of creative fashion research questions:

• A closer look at the puff sleeves trend
• The Kardashian family’s impact on fashion
• How did Chanel rise to fame?
• Sustainability in the fashion industry
• Fashion and body types
• Interesting fashion trends in Dubai
• Talk about fashion in the armed forces

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Pulse UX Blog

Theory, Analysis and Reviews on UX User Experience Research and Design

Home Mission About Charles L. Mauro CHFP

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User Interface Design and UX Design: 80+ Important Research Papers Covering Peer-Reviewed and Informal Studies

Charles Mauro CHFP

Important peer-reviewed and informally published recent research on user interface design and user experience (UX) design.

For the benefit of clients and colleagues we have culled a list of approximately 70 curated recent research publications dealing with user interface design, UX design and e-commerce optimization.

In our opinion these publications represent some of the best formal research thinking on UI and UX design. These papers are also among the most widely downloaded and cited formal research on UI / UX design. We have referenced many of these studies in our work at MauroNewMedia.

Pay walls: As you will note in reviewing the following links and abstracts, most of the serious research on UI / UX design and optimization is located behind pay walls controlled by major publishers. However, in the end, good data is well worth the investment. Many links and other cited references are, of course, free.

Important disclaimer: We do not receive any form of compensation for citing any of the following content. Either Charles L Mauro CHFP or Paul Thurman MBA has personally reviewed all papers and links in this list. Some of these references were utilized in the recent NYTECH UX talk given by Paul Thurman MBA titled: Critical New UX Design Optimization Research

In addition to historical research papers, we frequently receive requests from colleagues, clients and journalists for recommended reading lists on topics covering our expertise in UX design, usability research and human factors engineering. These requests prompted us to pull from our research library (yes, we still have real books) 30+ books which our professional staff felt should be considered primary conceptual literature for anyone well-read in the theory and practice of UX design and research. Please follow the for PulseUX’s compilation of the 30+ Best UX Design and Research Books of All Time

Title: The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences

Abstract User experience seeks to promote rich, engaging interactions between users and systems. In order for this experience to unfold, the user must be motivated to initiate an interaction with the technology. This study explored hedonic and utilitarian motivations in the context of user engagement with online shopping. Factor analysis was performed to identify a parsimonious set of factors from the Hedonic and Utilitarian Shopping Motivation Scale and the User Engagement Scale based on responses from 802 shoppers. Multiple linear regression was used to test hypotheses with hedonic and utilitarian motivations (Idea, Social, Adventure/Gratification, Value and Achievement Shopping) and attributes of user engagement (Aesthetics, Focused Attention, Perceived Usability, and Endurability). Results demonstrate the salience of Adventure/Gratification Shopping and Achievement Shopping Motivations to specific variables of user engagement in the e-commerce environment and provide considerations for the inclusion of different types of motivation into models of engaging user experiences. Abstract Copyright © 2010 Elsevier B.V. All rights reserved.

Title: New Support for Marketing Analytics

Abstract Consumer surveys and myriad other forms of research have long been the grist for marketing decisions at large companies. But many firms have been reluctant to embrace the high-tech approach to data gathering and number crunching that falls under the rubric of marketing analytics, which uses advanced techniques to transform the tracking of promotional efforts, customer preferences, and industry developments into sophisticated branding and advertising campaigns. Fueled in part by Tom Peters and Robert Waterman’s seminal 1982 book In Search of Excellence , which coined the phrase “paralysis through analysis,” skepticism about the approach remains widespread, even in the face of a number of positive research results over the years. This new study, involving Fortune 1000 companies, offers yet more ammunition for supporters of marketing analytics. Abstract Copyright © 2013 Booz & Company Inc. All rights reserved.

Title: Video game values: Human-computer interaction and games

Abstract Current human–computer interaction (HCI) research into video games rarely considers how they are different from other forms of software. This leads to research that, while useful concerning standard issues of interface design, does not address the nature of video games as games specifically. Unlike most software, video games are not made to support external, user-defined tasks, but instead define their own activities for players to engage in. We argue that video games contain systems of values which players perceive and adopt, and which shape the play of the game. A focus on video game values promotes a holistic view of video games as software, media, and as games specifically, which leads to a genuine video game HCI. Abstract Copyright © 2006 Elsevier B.V. All rights reserved.

Title: When fingers do the talking: a study of text messaging

Abstract SMS or text messaging is an area of growth in the communications field. The studies described below consisted of a questionnaire and a diary study. The questionnaire was designed to examine texting activities in 565 users of the mobile phone. The diary study was carried out by 24 subjects over a period of 2 weeks. The findings suggest that text messaging is being used by a wide range of people for all kinds of activities and that for some people it is the preferred means of communication. These studies should prove interesting for those examining the use and impact of SMS. Abstract Copyright © 2004 Elsevier B.V. All rights reserved.

Title: Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean’s model perspective

Abstract As mobile technology has developed, mobile banking has become accepted as part of daily life. Although many studies have been conducted to assess users’ satisfaction with mobile applications, none has focused on the ways in which the three quality factors associated with mobile banking – system quality, information quality and interface design quality – affect consumers’ trust and satisfaction. Our proposed research model, based on DeLone and McLean’s model, assesses how these three external quality factors can impact satisfaction and trust. We collected 276 valid questionnaires from mobile banking customers, then analyzed them using structural equation modeling. Our results show that system quality and information quality significantly influence customers’ trust and satisfaction, and that interface design quality does not. We present herein implications and suggestions for further research. Abstract Copyright © 2009 Elsevier B.V. All rights reserved.

Title: What is beautiful is usable

Abstract An experiment was conducted to test the relationships between users’ perceptions of a computerized system’s beauty and usability. The experiment used a computerized application as a surrogate for an Automated Teller Machine (ATM). Perceptions were elicited before and after the participants used the system. Pre-experimental measures indicate strong correlations between system’s perceived aesthetics and perceived usability. Post-experimental measures indicated that the strong correlation remained intact. A multivariate analysis of covariance revealed that the degree of system’s aesthetics affected the post-use perceptions of both aesthetics and usability, whereas the degree of actual usability had no such effect. The results resemble those found by social psychologists regarding the effect of physical attractiveness on the valuation of other personality attributes. The findings stress the importance of studying the aesthetic aspect of human–computer interaction (HCI) design and its relationships to other design dimensions. Abstract Copyright © 2000 Elsevier Science B.V. All rights reserved.

Title: UX Curve: A method for evaluating long-term user experience

Abstract The goal of user experience design in industry is to improve customer satisfaction and loyalty through the utility, ease of use, and pleasure provided in the interaction with a product. So far, user experience studies have mostly focused on short-term evaluations and consequently on aspects relating to the initial adoption of new product designs. Nevertheless, the relationship between the user and the product evolves over long periods of time and the relevance of prolonged use for market success has been recently highlighted. In this paper, we argue for the cost-effective elicitation of longitudinal user experience data. We propose a method called the “UX Curve” which aims at assisting users in retrospectively reporting how and why their experience with a product has changed over time. The usefulness of the UX Curve method was assessed in a qualitative study with 20 mobile phone users. In particular, we investigated how users’ specific memories of their experiences with their mobile phones guide their behavior and their willingness to recommend the product to others. The results suggest that the UX Curve method enables users and researchers to determine the quality of long-term user experience and the influences that improve user experience over time or cause it to deteriorate. The method provided rich qualitative data and we found that an improving trend of perceived attractiveness of mobile phones was related to user satisfaction and willingness to recommend their phone to friends. This highlights that sustaining perceived attractiveness can be a differentiating factor in the user acceptance of personal interactive products such as mobile phones. The study suggests that the proposed method can be used as a straightforward tool for understanding the reasons why user experience improves or worsens in long-term product use and how these reasons relate to customer loyalty. Abstract Copyright 2011 British Informatics Society Limited. Published by Elsevier B.V. All rights reserved.

Title: Heuristic evaluation: Comparing ways of finding and reporting usability problems

Abstract Research on heuristic evaluation in recent years has focused on improving its effectiveness and efficiency with respect to user testing. The aim of this paper is to refine a research agenda for comparing and contrasting evaluation methods. To reach this goal, a framework is presented to evaluate the effectiveness of different types of support for structured usability problem reporting. This paper reports on an empirical study of this framework that compares two sets of heuristics, Nielsen’s heuristics and the cognitive principles of Gerhardt-Powals, and two media of reporting a usability problem, i.e. either using a web tool or paper. The study found that there were no significant differences between any of the four groups in effectiveness, efficiency and inter-evaluator reliability. A more significant contribution of this research is that the framework used for the experiments proved successful and should be reusable by other researchers because of its thorough structure. Abstract Copyright © 2006 Elsevier B.V. All rights reserved.

Title: Socio-technical systems: From design methods to systems engineering

Abstract It is widely acknowledged that adopting a socio-technical approach to system development leads to systems that are more acceptable to end users and deliver better value to stakeholders. Despite this, such approaches are not widely practised. We analyse the reasons for this, highlighting some of the problems with the better known socio-technical design methods. Based on this analysis we propose a new pragmatic framework for socio-technical systems engineering (STSE) which builds on the (largely independent) research of groups investigating work design, information systems, computer-supported cooperative work, and cognitive systems engineering. STSE bridges the traditional gap between organisational change and system development using two main types of activity: sensitisation and awareness; and constructive engagement. From the framework, we identify an initial set of interdisciplinary research problems that address how to apply socio-technical approaches in a cost-effective way, and how to facilitate the integration of STSE with existing systems and software engineering approaches. Abstract Copyright © 2010 Elsevier B.V. All rights reserved.

Title: Five reasons for scenario-based design

Abstract Scenarios of human–computer interaction help us to understand and to create computer systems and applications as artifacts of human activity—as things to learn from, as tools to use in one’s work, as media for interacting with other people. Scenario-based design of information technology addresses five technical challenges: scenarios evoke reflection in the content of design work, helping developers coordinate design action and reflection. Scenarios are at once concrete and flexible, helping developers manage the fluidity of design situations. Scenarios afford multiple views of an interaction, diverse kinds and amounts of detailing, helping developers manage the many consequences entailed by any given design move. Scenarios can also be abstracted and categorized, helping designers to recognize, capture and reuse generalizations and to address the challenge that technical knowledge often lags the needs of technical design. Finally, scenarios promote work-oriented communication among stakeholders, helping to make design activities more accessible to the great variety of expertise that can contribute to design, and addressing the challenge that external constraints designers and clients face often distract attention from the needs and concerns of the people who will use the technology. Abstract Copyright © 2000 Elsevier Science B.V. All rights reserved.

Title: Needs, affect, and interactive products – Facets of user experience

Abstract Subsumed under the umbrella of User Experience (UX), practitioners and academics of Human–Computer Interaction look for ways to broaden their understanding of what constitutes “pleasurable experiences” with technology. The present study considered the fulfilment of universal psychological needs, such as competence, relatedness, popularity, stimulation, meaning, security, or autonomy, to be the major source of positive experience with interactive technologies. To explore this, we collected over 500 positive experiences with interactive products (e.g., mobile phones, computers). As expected, we found a clear relationship between need fulfilment and positive affect, with stimulation, relatedness, competence and popularity being especially salient needs. Experiences could be further categorized by the primary need they fulfil, with apparent qualitative differences among some of the categories in terms of the emotions involved. Need fulfilment was clearly linked to hedonic quality perceptions, but not as strongly to pragmatic quality (i.e., perceived usability), which supports the notion of hedonic quality as “motivator” and pragmatic quality as “hygiene factor.” Whether hedonic quality ratings reflected need fulfilment depended on the belief that the product was responsible for the experience (i.e., attribution). Abstract Copyright © 2010 Elsevier B.V. All rights reserved.

Title: The role of social presence in establishing loyalty in e-Service environments

Abstract Compared to offline shopping, the online shopping experience may be viewed as lacking human warmth and sociability as it is more impersonal, anonymous, automated and generally devoid of face-to-face interactions. Thus, understanding how to create customer loyalty in online environments (e-Loyalty) is a complex process. In this paper a model for e-Loyalty is proposed and used to examine how varied conditions of social presence in a B2C e-Services context influence e-Loyalty and its antecedents of perceived usefulness, trust and enjoyment. This model is examined through an empirical study involving 185 subjects using structural equation modeling techniques. Further analysis is conducted to reveal gender differences concerning hedonic elements in the model on e-Loyalty. Abstract Copyright © 2006 Elsevier B.V. All rights reserved.

Title: A framework for evaluating the usability of mobile phones based on multi-level, hierarchical model of usability factors

Abstract As a mobile phone has various advanced functionalities or features, usability issues are increasingly challenging. Due to the particular characteristics of a mobile phone, typical usability evaluation methods and heuristics, most of which are relevant to a software system, might not effectively be applied to a mobile phone. Another point to consider is that usability evaluation activities should help designers find usability problems easily and produce better design solutions. To support usability practitioners of the mobile phone industry, we propose a framework for evaluating the usability of a mobile phone, based on a multi-level, hierarchical model of usability factors, in an analytic way. The model was developed on the basis of a set of collected usability problems and our previous study on a conceptual framework for identifying usability impact factors. It has multi-abstraction levels, each of which considers the usability of a mobile phone from a particular perspective. As there are goal-means relationships between adjacent levels, a range of usability issues can be interpreted in a holistic as well as diagnostic way. Another advantage is that it supports two different types of evaluation approaches: task-based and interface-based. To support both evaluation approaches, we developed four sets of checklists, each of which is concerned, respectively, with task-based evaluation and three different interface types: Logical User Interface (LUI), Physical User Interface (PUI) and Graphical User Interface (GUI). The proposed framework specifies an approach to quantifying usability so that several usability aspects are collectively measured to give a single score with the use of the checklists. A small case study was conducted in order to examine the applicability of the framework and to identify the aspects of the framework to be improved. It showed that it could be a useful tool for evaluating the usability of a mobile phone. Based on the case study, we improved the framework in order that usability practitioners can use it more easily and consistently. Abstract Copyright © 2011 British Informatics Society Limited. Published by Elsevier B.V. All rights reserved.

Title: Understanding the most satisfying and unsatisfying user experiences: Emotions, psychological needs, and context

Abstract The aim of this research was to study the structure of the most satisfying and unsatisfying user experiences in terms of experienced emotions, psychological needs, and contextual factors. 45 university students wrote descriptions of their most satisfying and unsatisfying recent user experiences and analyzed those experiences using the Positive and Negative Affect Schedule (PANAS) method for experienced emotions, a questionnaire probing the salience of 10 psychological needs, and a self-made set of rating scales for analyzing context. The results suggested that it was possible to capture variations in user experiences in terms of experienced emotions, fulfillment of psychological needs, and context effectively by using psychometric rating scales. The results for emotional experiences showed significant differences in 16 out of 20 PANAS emotions between the most satisfying and unsatisfying experiences. The results for psychological needs indicated that feelings of autonomy and competence emerged as highly salient in the most satisfying experiences and missing in the unsatisfying experiences. High self-esteem was also notably salient in the most satisfying experiences. The qualitative results indicated that most of the participants’ free-form qualitative descriptions, especially for the most unsatisfying user experiences, gave important information about the pragmatic aspects of the interaction, but often omitted information about hedonic and social aspects of user experience. Abstract Copyright © 2011 British Informatics Society Limited. Published by Elsevier B.V. All rights reserved.

Title: The Usability Metric for User Experience

Abstract The Usability Metric for User Experience (UMUX) is a four-item Likert scale used for the subjective assessment of an application’s perceived usability. It is designed to provide results similar to those obtained with the 10-item System Usability Scale, and is organized around the ISO 9241-11 definition of usability. A pilot version was assembled from candidate items, which was then tested alongside the System Usability Scale during usability testing. It was shown that the two scales correlate well, are reliable, and both align on one underlying usability factor. In addition, the Usability Metric for User Experience is compact enough to serve as a usability module in a broader user experience metric. Abstract Copyright © 2010 Elsevier B.V. All rights reserved.

Title: User acceptance of mobile Internet: Implication for convergence technologies

Abstract Using the Technology Acceptance Model as a conceptual framework and a method of structural equation modeling, this study analyzes the consumer attitude toward Wi-Bro drawing data from 515 consumers. Individuals’ responses to questions about whether they use/accept Wi-Bro were collected and combined with various factors modified from the Technology Acceptance Model.

The result of this study show that users’ perceptions are significantly associated with their motivation to use Wi-Bro. Specifically, perceived quality and perceived availability are found to have significant effect on users’ extrinsic and intrinsic motivation. These new factors are found to be Wi-Bro-specific factors, playing as enhancing factors to attitudes and intention. Abstract Copyright © 2007 Elsevier B.V. All rights reserved.

Title: Understanding purchasing behaviors in a virtual economy: Consumer behavior involving virtual currency in Web 2.0 communities

Abstract This study analyzes consumer purchasing behavior in Web 2.0, expanding the technology acceptance model (TAM), focusing on which variables influence the intention to transact with virtual currency. Individuals’ responses to questions about attitude and intention to transact in Web 2.0 were collected and analyzed with various factors modified from the TAM. The results of the proposed model show that subjective norm is a key behavioral antecedent to using virtual currency. In the extended model, the moderating effects of subjective norm on the relations among the variables were found to be significant. The new set of variables is virtual environment-specific, acting as factors enhancing attitudes and behavioral intentions in Web 2.0 transactions. Abstract Copyright © 2008 Elsevier B.V. All rights reserved.

Title: Fundamentals of physiological computing

Abstract This review paper is concerned with the development of physiological computing systems that employ real-time measures of psychophysiology to communicate the psychological state of the user to an adaptive system. It is argued that physiological computing has enormous potential to innovate human–computer interaction by extending the communication bandwidth to enable the development of ‘smart’ technology. This paper focuses on six fundamental issues for physiological computing systems through a review and synthesis of existing literature, these are (1) the complexity of the psychophysiological inference, (2) validating the psychophysiological inference, (3) representing the psychological state of the user, (4) designing explicit and implicit system interventions, (5) defining the biocybernetic loop that controls system adaptation, and (6) ethical implications. The paper concludes that physiological computing provides opportunities to innovate HCI but complex methodological/conceptual issues must be fully tackled during the research and development phase if this nascent technology is to achieve its potential. Abstract Copyright © 2008 Elsevier B.V. All rights reserved.

Title: Modelling user experience with web sites: Usability, hedonic value, beauty and goodness

Abstract Recent research into user experience has identified the need for a theoretical model to build cumulative knowledge in research addressing how the overall quality or ‘goodness’ of an interactive product is formed. An experiment tested and extended Hassenzahl’s model of aesthetic experience. The study used a 2 × 2 × (2) experimental design with three factors: principles of screen design, principles for organizing information on a web page and experience of using a web site. Dependent variables included hedonic perceptions and evaluations of a web site as well as measures of task performance, navigation behaviour and mental effort. Measures, except Beauty, were sensitive to manipulation of web design. Beauty was influenced by hedonic attributes (identification and stimulation), but Goodness by both hedonic and pragmatic (user-perceived usability) attributes as well as task performance and mental effort. Hedonic quality was more stable with experience of web-site use than pragmatic quality and Beauty was more stable than Goodness. Abstract Copyright © 2008 Elsevier B.V. All rights reserved.

Title: Sample Size In Usability Studies

Abstract Usability studies are a cornerstone activity for developing usable products. Their effectiveness depends on sample size, and determining sample sizehas been a research issue in usability engineering for the past 30 years. In 2010, Hwang and Salvendy reported a meta study on the effectiveness of usability evaluation, concluding that a sample size of 10±2 is sufficient for discovering 80% of usability problems (not five, as suggested earlier by Nielsen in 2000). Here, I show the Hwang and Salvendy study ignored fundamental mathematical properties of the problem, severely limiting the validity of the 10±2 rule, then look to reframe the issue of effectiveness and sample-size estimation to the practices and requirements commonly encountered in industrial-scale usability studies. Abstract Copyright © 2013 ACM, Inc. Title: An experimental study of learner perceptions of the interactivity of web-based instruction

Abstract An effectively designed interaction mechanism creates a shortcut for human–computer interaction. Most studies in this area have concluded that the higher the level of interactivity, the better, especially regarding interactive websites applied in the fields of business and education. Previous studies have also suggested that designs with a higher level of interactivity result in higher learner evaluations of websites. However, little research has examined learner perceptions as they interact with web-based instruction (WBI) systems in a situation with limited time. To assist learners in acquiring knowledge quickly, the interactivity design must make the web learning environment easier to use by reducing the complexity of the interface. The aim of the present study is to explore learner perceptions of three WBI systems with different interaction levels under time limitations. This study was therefore designed to provide a new framework to design systems with different degrees of interactivity, and to examine learners’ perceptions of these interaction elements. Three WBI systems were developed with different degrees of interactivity from high to low, and a between-subject experiment was conducted with 45 subjects. The results of the experiment indicate that a higher level of interactivity does not necessarily guarantee a higher perception of interactivity in a short-term learning situation. Therefore, the instructors must pay attention to modifying or selecting appropriate interactive elements that are more suitable for various learning stages. The findings provide insights for designers to adopt different degrees of interactivity in their designs that will best fulfill various learners’ needs. Abstract Copyright © 2011 British Informatics Society Limited. Published by Elsevier B.V. All rights reserved.

Title: Age differences in the perception of social presence in the use of 3D virtual world for social interaction

Abstract 3D virtual worlds are becoming increasingly popular as tool for social interaction, with the potential of augmenting the user’s perception of physical and social presence. Thus, this technology could be of great benefit to older people, providing home-bound older users with access to social, educational and recreational resources. However, so far there have been few studies looking into how older people engage with virtual worlds, as most research in this area focuses on younger users. In this study, an online experiment was conducted with 30 older and 30 younger users to investigate age differences in the perception of presence in the use of virtual worlds for social interaction. Overall, we found that factors such as navigation and prior experience with text messaging tools played a key role in older people’s perception of presence. Both physical and social presence was found to be linked to the quality of social interaction for users of both age groups. In addition, older people displayed proxemic behavior which was more similar to proxemic behavior in the physical world when compared to younger users. Abstract Copyright © 2012 British Informatics Society Limited. Published by Elsevier B.V. All rights reserved.

Title: Human error and information systems failure: the case of the London ambulance service computer-aided despatch system project

Abstract Human error and systems failure have been two constructs that have become linked in many contexts. In this paper we particularly focus on the issue of failure in relation to that group of software systems known as information systems. We first review the extant theoretical and empirical work on this topic. Then we discuss one particular well-known case — that of the London ambulance service computer-aided despatch system (Lascad) project — and use it as a particularly cogent example of the features of information systems failure. We maintain that the tendency to analyse information systems failure solely from a technological standpoint is limiting, that the nature of information systems failure is multi-faceted, and hence cannot be adequately understood purely in terms of the immediate problems of systems construction. Our purpose is also to use the generic material on IS failure and the specific details of this particular case study to critique the issues of safety, criticality, human error and risk in relation to systems not currently well considered in relation to these areas. Abstract Copyright © 1999 Elsevier B.V. All rights reserved.

Title: Feminist HCI meets facebook: Performativity and social networking sites

Abstract In this paper, I reflect on a specific product of interaction design, social networking sites. The goals of this paper are twofold. One is to bring a feminist reflexivity, to HCI, drawing on the work of Judith Butler and her concepts of peformativity, citationality, and interpellation. Her approach is, I argue, highly relevant to issues of identity and self-representation on social networking sites; and to the co-constitution of the subject and technology. A critical, feminist HCI must ask how social media and other HCI institutions, practices, and discourses are part of the processes by which sociotechnical configurations are constructed. My second goal is to examine the implications of such an approach by applying it to social networking sites (SNSs) drawing the empirical research literature on SNSs, to show how SNS structures and policies help shape the subject and hide the contingency of subject categories. Abstract Copyright © 2011 British Informatics Society Limited. Published by Elsevier B.V. All rights reserved.

Title: A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing

Abstract Physiological computing represents a mode of human–computer interaction where the computer monitors, analyzes and responds to the user’s psychophysiological activity in real-time. Within the field, autonomic nervous system responses have been studied extensively since they can be measured quickly and unobtrusively. However, despite a vast body of literature available on the subject, there is still no universally accepted set of rules that would translate physiological data to psychological states. This paper surveys the work performed on data fusion and system adaptation using autonomic nervous system responses in psychophysiology and physiological computing during the last ten years. First, five prerequisites for data fusion are examined: psychological model selection, training set preparation, feature extraction, normalization and dimension reduction. Then, different methods for either classification or estimation of psychological states from the extracted features are presented and compared. Finally, implementations of system adaptation are reviewed: changing the system that the user is interacting with in response to cognitive or affective information inferred from autonomic nervous system responses. The paper is aimed primarily at psychologists and computer scientists who have already recorded autonomic nervous system responses and now need to create algorithms to determine the subject’s psychological state. Abstract Copyright © 2012 British Informatics Society Limited. Published by Elsevier B.V. All rights reserved.

Title: Positive mood induction procedures for virtual environments designed for elderly people

Abstract Positive emotions have a significant influence on mental and physical health. Their role in the elderly’s wellbeing has been established in numerous studies. It is therefore worthwhile to explore ways in which elderly people can increase the number of positive experiences in their daily lives. This paper describes two Virtual Environments (VEs) that were used as mood induction procedures (MIPs) for this population. In addition, the VEs’ efficacy at increasing joy and relaxation in elderly users is analyzed. The VEs contain exercises for generating positive-autobiographic memories, mindfulness and slow breathing rhythms. The total sample comprised 18 participants over 55 years old who used the VEs on two occasions. Twelve of them used the joy environment, while 16 used the relaxation environment. Moods before and after each session were assessed using Visual Analogical Scales. After using both VEs, results indicated significant increases in joy and relaxation and significant decreases in sadness and anxiety. The participants also indicated low levels of difficulty of use and high levels of satisfaction and sense of presence. Hence, the VEs demonstrate their usefulness at promoting positive affects and enhancing the wellbeing of elderly people. Abstract Copyright © 2012 British Informatics Society Limited. Published by Elsevier B.V. All rights reserved.

Title: The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption

Abstract Social network services (SNS) focus on building online communities of people who share interests and/or activities, or who are interested in exploring the interests and activities of others. This study examines security, trust, and privacy concerns with regard to social networking Websites among consumers using both reliable scales and measures. It proposes an SNS acceptance model by integrating cognitive as well as affective attitudes as primary influencing factors, which are driven by underlying beliefs, perceived security, perceived privacy, trust, attitude, and intention. Results from a survey of SNS users validate that the proposed theoretical model explains and predicts user acceptance of SNS substantially well. The model shows excellent measurement properties and establishes perceived privacy and perceived security of SNS as distinct constructs. The finding also reveals that perceived security moderates the effect of perceived privacy on trust. Based on the results of this study, practical implications for marketing strategies in SNS markets and theoretical implications are recommended accordingly. Abstract Copyright © 2010 Elsevier B.V. All rights reserved.

Title: Usability testing: what have we overlooked?

Abstract For more than a decade, the number of usability test participants has been a major theme of debate among usability practitioners and researchers keen to improve usability test performance. This paper provides evidence suggesting that the focus be shifted to task coverage instead. Our data analysis of nine commercial usability test teams participating in the CUE-4 study revealed no significant correlation between the percentage of problems found or of new problems and number of test users, but correlations of both variables and number of user tasks used by each usability team were significant. The role of participant recruitment on usability test performance and future research directions are discussed. Abstract Copyright © 2013 ACM, Inc.

Title: Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior

Abstract This paper tests the ability of two consumer theories—the theory of reasoned action and the theory of planned behavior—in predicting consumer online grocery buying intention. In addition, a comparison of the two theories is conducted. Data were collected from two web-based surveys of Danish ( n =1222) and Swedish ( n =1038) consumers using self-administered questionnaires. These results suggest that the theory of planned behavior (with the inclusion of a path from subjective norm to attitude) provides the best fit to the data and explains the highest proportion of variation in online grocery buying intention. Abstract Copyright © 2013 Elsevier B.V. All rights reserved.

Title: Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions

Abstract The Theory of Planned Behavior, an extension of the well-known Theory of Reasoned Action, is proposed as a model to predict consumer adoption intention. Three variations of the Theory of Planned Behavior are examined and compared to the Theory of Reasoned Action. The appropriateness of each model is assessed with data from a consumer setting. Structural equation modelling using maximum likelihood estimation for the four models revealed that the traditional forms of the Theory of Reasoned Action and the Theory of Planned Behavior fit the data adequately. Decomposing the belief structures and allowing for crossover effects in the Theory of Planned Behavior resulted in improvements in model prediction. The application of each model to theory development and management intervention is explored. Abstract Copyright © 1995 Elsevier B.V. All rights reserved.

Title: Knowledge and the Prediction of Behavior: The Role of Information Accuracy in the Theory of Planned Behavior

Abstract The results of the present research question the common assumption that being well informed is a prerequisite for effective action to produce desired outcomes. In Study 1 ( N = 79), environmental knowledge had no effect on energy conservation, and in Study 2 ( N = 79), alcohol knowledge was unrelated to drinking behavior. Such disappointing correlations may result from an inappropriate focus on accuracy of information at the expense of its relevance to and support for the behavior. Study 3 ( N = 85) obtained a positive correlation between knowledge and pro-Muslim behavior, but Study 4 ( N = 89) confirmed the proposition that this correlation arose because responses on the knowledge test reflected underlying attitudes. Study 4 also showed that the correlation could become positive or negative by appropriate selection of questions for the knowledge test. The theory of planned behavior (Ajzen, 1991 ), with its focus on specific actions, predicted intentions and behavior in all four studies. Abstract Copyright © 2013 Informa plc

Link: h ttp://www.businessinsider.com/ron-johnson-apple-store-j-c-penney-2011-11

People come to the Apple Store for the experience — and they’re willing to pay a premium for that. There are lots of components to that experience, but maybe the most important — and this is something that can translate to any retailer — is that the staff isn’t focused on selling stuff, it’s focused on building relationships and trying to make people’s lives better. Abstract Copyright © 2013 Business Insider, Inc. All rights reserved.

Title : Naturalizing aesthetics: Brain areas for aesthetic appraisal across sensory modalities

Abstract We present here the most comprehensive analysis to date of neuroaesthetic processing by reporting the results of voxel-based meta-analyses of 93 neuroimaging studies of positive-valence aesthetic appraisal across four sensory modalities. The results demonstrate that the most concordant area of activation across all four modalities is the right anterior insula, an area typically associated with visceral perception, especially of negative valence (disgust, pain, etc.). We argue that aesthetic processing is, at its core, the appraisal of the valence of perceived objects. This appraisal is in no way limited to artworks but is instead applicable to all types of perceived objects. Therefore, one way to naturalize aesthetics is to argue that such a system evolved first for the appraisal of objects of survival advantage, such as food sources, and was later co-opted in humans for the experience of artworks for the satisfaction of social needs. Abstract Copyright © 2011 Elsevier Inc. All rights reserved.

Link: http://www.scientificamerican.com/article.cfm?id=the-neuroscience-of-beauty

Studies from neuroscience and evolutionary biology challenge this separation of art from non-art. Human neuroimaging studies have convincingly shown that the brain areas involved in aesthetic responses to artworks overlap with those that mediate the appraisal of objects of evolutionary importance, such as the desirability of foods or the attractiveness of potential mates. Hence, it is unlikely that there are brain systems specific to the appreciation of artworks; instead there are general aesthetic systems that determine how appealing an object is, be that a piece of cake or a piece of music. Abstract © 2013 Scientific American, a Division of Nature America, Inc.

Link: http://blogs.scientificamerican.com/symbiartic/2011/10/03/need-proof-that-were-visual-beings/

This video offers proof that humans are visual beings. Abstract © 2013 Scientific American, a Division of Nature America, Inc.

Link: http://hbr.org/web/slideshows/five-charts-that-changed-business/1-slide

Once in a while, a chart so deftly captures an important strategic insight that it becomes an iconic part of management thinking and a tool that shows up in MBA classrooms and corporate boardrooms for years to come. As HBR prepares for its 90th anniversary, in 2012, their editors have combed the magazine archives and other sources to select five charts that changed the shape of strategy. Abstract Copyright © 2013 Harvard Business School Publishing. All rights reserved.

Link: http://www.strategy-business.com/article/04412

It is a widely accepted and rarely challenged tenet of marketing that companies can sustain competitive advantage only through “new and improved” product differentiation based on unique features and benefits. What a mistake. By paying attention to what consumers really want, companies can attract new customers and create a distinctive brand. Abstract © 2013 Booz & Company Inc. All rights reserved.

Link: http://www.economist.com/node/17723028

If you can have everything in 57 varieties, making decisions becomes hard work. Many of these options have improved life immeasurably in the rich world, and to a lesser extent in poorer parts. They are testimony to human ingenuity and innovation. Free choice is the basis on which markets work, driving competition and generating economic growth. It is the cornerstone of liberal democracy. The 20th century bears the scars of too many failed experiments in which people had no choice. But amid all the dizzying possibilities, a nagging question lurks: is so much extra choice unambiguously a good thing? Abstract Copyright © The Economist Newspaper Limited 2013. All rights reserved.

Link: http://e.businessinsider.com/public/1099804

Mobile apps are becoming more important to people, not less important, according to this chart plucked from a big presentation on the internet. It’s an interesting trend because it shows how mobile behavior is different than traditional desktop computing behavior when it comes to the web. Abstract Copyright © 2013 Business Insider, Inc. All rights reserved.

Link: http://blogs.scientificamerican.com/scicurious-brain/2012/07/30/you-want-that-well-i-want-it-too-the-neuroscience-of-mimetic-desire/

Mimetic desire is more than jealously wanting something because someone else has it. Rather, it’s about valuing something because someone else values it . And it’s pretty easy to transmit the value. Just writing about Person A’s activities and habits and showing it to Person B will make Person B start to think Person A must have seen something good about the Toyota Camry…maybe his next car…

But what is behind this contagion of desires? Abstract © 2013 Scientific American, a Division of Nature America, Inc.

Link: http://www.united-academics.org/magazine/27212/visual-memory-blindness/

A well-known pheonomenon in psychology has been the ‘inattentional blindness’ principle. In fact, you might know it from experience: it means that people tend to fail seeing things in their visible fields when they have to focus on a task. Until now, it was thought that in order to cause the effect, a cluttered visual field is required. Recent research shows that the effect is present though in many more situations. Abstract Copyright United Academics 2012 Coypright – All rights Reserved

Link: http://www.businessinsider.com/18-24-texting-2011-9

Chart of the Day: According to the Pew Internet project , people in the 18-24 year-old range are sending and receiving 110 texts per day on average. The median number of texts sent/received by that group is 50 per day. Abstract Copyright © 2013 Business Insider, Inc. All rights reserved.

Link: http://www.businessinsider.com/chart-of-the-day-facebook-time-2011-9

Chart of the Day: A new report on social media from Nielsen shows U.S. users spent 53.5 billion minutes on Facebook in May, which is more time than was spent on the next four biggest sites. Abstract Copyright © 2013 Business Insider, Inc. All rights reserved.

Link: http://www.scientificamerican.com/article.cfm?id=your-brain-on-facebook

A recent study showed that certain brain areas expand in people who have greater numbers of friends on Facebook . There was a problem, though. The study, in Proceedings of the Royal Society B , was unable to resolve the question of whether “friending” plumps up the brain areas or whether people with a type of robustness in brain physiology are just natural social butterflies. But with the help of a few monkeys in England, teenagers everywhere may now have more ammunition to use against parents. Abstract © 2013 Scientific American, a Division of Nature America, Inc.

Link: http://iwc.oxfordjournals.org/content/26/3/196.abstract.html?etoc

Although advances in technology now enable people to communicate ‘anytime, anyplace’, it is not clear how citizens can be motivated to actually do so. This paper evaluates the impact of three principles of psychological empowerment, namely perceived self-efficacy, sense of community and causal importance, on public transport passengers’ motivation to report issues and complaints while on the move. A week-long study with 65 participants revealed that self-efficacy and causal importance increased participation in short bursts and increased perceptions of service quality over longer periods. Finally, we discuss the implications of these findings for citizen participation projects and reflect on design opportunities for mobile technologies that motivate citizen participation. Abstract 2013 Oxford University Press.

Link: http://iwc.oxfordjournals.org/content/26/3/208.abstract.html?etoc

This review paper argues that users of personal information management systems have three particularly pressing requirements, for which current systems do not fully cater: (i) To combat information overload, as the volume of information increases. (ii) To ease context switching, in particular, for users who face frequent interrupts in their work. (iii) To be supported in information integration, across a variety of applications. To meet these requirements, four broad technological approaches should be adopted in an incremental fashion: (i) The deployment of a unified file system to manage all information objects, including files, emails and webpage URLs. (ii) The use of tags to categorize information; implemented in a way which is backward-compatible with existing hierarchical file systems. (iii) The use of context to aid information retrieval; built upon existing file and tagging systems rather than creating a parallel context management system. (iv) The deployment of semantic technologies, coupled with the harvesting of all useful metadata. Abstract 2013 Oxford University Press.

Link: http://iwc.oxfordjournals.org/content/26/3/238.abstract.html?etoc

Projective techniques are used in psychology and consumer research to provide information about individuals’ motivations, thoughts and feelings. This paper reviews the use of projective techniques in marketing research and user experience (UX) research and discusses their potential role in understanding users, their needs and values, and evaluating UX in practical product development contexts. A projective technique called sentence completion is evaluated through three case studies. Sentence completion produces qualitative data about users’ views in a structured form. The results are less time-consuming to analyze than interview results. Compared with quantitative methods such as AttrakDiff, the results are more time consuming to analyze, but more information is retrieved on negative feelings. The results show that sentence completion is useful in understanding users’ perceptions and that the technique can be used to complement other methods. Sentence completion can also be used online to reach wider user groups. Abstract 2013 Oxford University Press.

Link: http://iwc.oxfordjournals.org/content/26/3/256.abstract.html?etoc

Cognitive load (CL) is experienced during critical tasks and also while engaged emotional states are induced either by the task itself or by extraneous experiences. Emotions irrelevant to the working memory representation may interfere with the processing of relevant tasks and can influence task performance and behavior, making the accurate detection of CL from nonverbal information challenging. This paper investigates automatic CL detection from facial features, physiology and task performance under affective interference. Data were collected from participants (n=20) solving mental arithmetic tasks with emotional stimuli in the background, and a combined classifier was used for detecting CL levels. Results indicate that the face modality for CL detection was more accurate under affective interference, whereas physiology and task performance were more accurate without the affective interference. Multimodal fusion improved detection accuracies, but it was less accurate under affective interferences. More specifically, the accuracy decreased with an increasing intensity of emotional arousal. Abstract 2013 Oxford University Press.

Link: http://iwc.oxfordjournals.org/content/26/3/269.abstract.html?etoc

In the field of virtual reality (VR), many efforts have been made to analyze presence, the sense of being in the virtual world. However, it is only recently that functional magnetic resonance imaging (fMRI) has been used to study presence during an automatic navigation through a virtual environment. In the present work, our aim was to use fMRI to study the sense of presence during a VR-free navigation task, in comparison with visualization of photographs and videos (automatic navigations through the same environment). The main goal was to analyze the usefulness of fMRI for this purpose, evaluating whether, in this context, the interaction between the subject and the environment is performed naturally, hiding the role of technology in the experience. We monitored 14 right-handed healthy females aged between 19 and 25 years. Frontal, parietal and occipital regions showed their involvement during free virtual navigation. Moreover, activation in the dorsolateral prefrontal cortex was also shown to be negatively correlated to sense of presence and the postcentral parietal cortex and insula showed a parametric increased activation according to the condition-related sense of presence, which suggests that stimulus attention and self-awareness processes related to the insula may be linked to the sense of presence. Abstract 2013 Oxford University Press.

Link: http://iwc.oxfordjournals.org/content/26/3/285.abstract.html?etoc

Unlike visual stimuli, little attention has been paid to auditory stimuli in terms of emotion prediction with physiological signals. This paper aimed to investigate whether auditory stimuli can be used as an effective elicitor as visual stimuli for emotion prediction using physiological channels. For this purpose, a well-controlled experiment was designed, in which standardized visual and auditory stimuli were systematically selected and presented to participants to induce various emotions spontaneously in a laboratory setting. Numerous physiological signals, including facial electromyogram, electroencephalography, skin conductivity and respiration data, were recorded when participants were exposed to the stimulus presentation. Two data mining methods, namely decision rules and k-nearest neighbor based on the rough set technique, were applied to construct emotion prediction models based on the features extracted from the physiological data. Experimental results demonstrated that auditory stimuli were as effective as visual stimuli in eliciting emotions in terms of systematic physiological reactivity. This was evidenced by the best prediction accuracy quantified by the F1 measure (visual: 76.2% vs. auditory: 76.1%) among six emotion categories (excited, happy, neutral, sad, fearful and disgusted). Furthermore, we also constructed culture-specific (Chinese vs. Indian) prediction models. The results showed that model prediction accuracy was not significantly different between culture-specific models. Finally, the implications of affective auditory stimuli in human–computer interaction, limitations of the study and suggestions for further research are discussed. Abstract 2013 Oxford University Press.

Link: http://www.sciencedirect.com/science/article/pii/S0160289614000087

The deliberate practice view has generated a great deal of scientific and popular interest in expert performance. At the same time, empirical evidence now indicates that deliberate practice, while certainly important, is not as important as Ericsson and colleagues have argued it is. In particular, we (Hambrick, Oswald, Altmann, Meinz, Gobet, & Campitelli, 2014) found that individual differences in accumulated amount of deliberate practice accounted for about one-third of the reliable variance in performance in chess and music, leaving the majority of the reliable variance unexplained and potentially explainable by other factors. Ericsson’s (2014) defense of the deliberate practice view, though vigorous, is undercut by contradictions, oversights, and errors in his arguments and criticisms, several of which we describe here. We reiterate that the task now is to develop and rigorously test falsifiable theories of expert performance that take into account as many potentially relevant constructs as possible. Abstract © 2014 Elsevier Inc.

Link: http://techcrunch.com/2013/02/05/amazon-to-launch-virtual-currency-amazon-coins-in-its-appstore-in-may/

Amazon has just announced a new virtual currency for Kindle Fire owners to use on in-app purchases, app purchases, etc. in the Amazon Appstore. Abstract © 2013 AOL Inc. All rights reserved.

Link: http://onlinelibrary.wiley.com/doi/10.1002/smj.2284/abstract

Link: http://iwc.oxfordjournals.org/content/early/2014/05/09/iwc.iwu016.abstract.html?papetoc

Wizard of Oz (WOZ) is a well-established method for simulating the functionality and user experience of future systems. Using a human wizard to mimic certain operations of a potential system is particularly useful in situations where extensive engineering effort would otherwise be needed to explore the design possibilities offered by such operations. The WOZ method has been widely used in connection with speech and language technologies, but advances in sensor technology and pattern recognition as well as new application areas such as human–robot interaction have made it increasingly relevant to the design of a wider range of interactive systems. In such cases, achieving acceptable performance at the user interface level often hinges on resource-intensive improvements such as domain tuning, which are better done once the overall design is relatively stable. Although WOZ is recognized as a valuable prototyping technique, surprisingly little effort has been put into exploring it from a methodological point of view. Starting from a survey of the literature, this paper presents a systematic investigation and analysis of the design space for WOZ for language technology applications, and proposes a generic architecture for tool support that supports the integration of components for speech recognition and synthesis as well as for machine translation. This architecture is instantiated in WebWOZ—a new web-based open-source WOZ prototyping platform. The viability of generic support is explored empirically through a series of evaluations. Researchers from a variety of backgrounds were able to create experiments, independent of their previous experience with WOZ. The approach was further validated through a number of real experiments, which also helped to identify a number of possibilities for additional support, and flagged potential issues relating to consistency in wizard performance. Abstract 2014 Oxford University Press

Link: http://www.thinkwithgoogle.com/insights/library/studies/the-new-multi-screen-world-study/

This paper studies how business models can be designed to tap effectively into open innovation labor markets with heterogeneously motivated workers. Using data on open source software, we show that motivations are diverse, and demonstrate how managers can strategically influence the flow of code contributions and their impact on project performance. Unlike previous literature using survey data, we exploit the observed pattern of project membership and code contributions—the “revealed preference” of developers—to infer the motivations driving their decision to contribute. Developers strongly sort along key dimensions of the business model chosen by project managers, especially the degree of openness of the project license. The results indicate an important role for intrinsic motivation, reputation, and labor market signaling, and a more limited role for reciprocity. Abstract 2014 John Wiley & Sons, Ltd.

updated on 5/13

Title: Developing elements of user experience for mobile phones and services: survey, interview, and observation approaches

Abstract The term user experience (UX) encompasses the concepts of usability and affective engineering. However, UX has not been defined clearly. In this study, a literature survey, user interview and indirect observation were conducted to develop definitions of UX and its elements. A literature survey investigated 127 articles that were considered to be helpful to define the concept of UX. An in-depth interview targeted 14 hands-on workers in the Korean mobile phone industry. An indirect observation captured daily experiences of eight end-users with mobile phones. This study collected various views on UX from academia, industry, and end-users using these three approaches. As a result, this article proposes definitions of UX and its elements: usability, affect, and user value. These results are expected to help design products or services with greater levels of UX. Abstract Copyright 2011 Wiley Periodicals, Inc.

Title: Why different people prefer different systems for different tasks: An activity perspective on technology adoption in a dynamic user environment

Abstract In a contemporary user environment, there are often multiple information systems available for a certain type of task. Based on the premises of Activity Theory, this study examines how user characteristics, system experiences, and task situations influence an individual’s preferences among different systems in terms of user readiness to interact with each. It hypothesizes that system experiences directly shape specific user readiness at the within-subject level, user characteristics and task situations make differences in general user readiness at the between-subject level, and task situations also affect specific user readiness through the mediation of system experiences. An empirical study was conducted, and the results supported the hypothesized relationships. The findings provide insights on how to enhance technology adoption by tailoring system development and management to various task contexts and different user groups. Abstract Copyright 2011 ASIS&T

Title: A review of factors influencing user satisfaction in information retrieval

Abstract The authors investigate factors influencing user satisfaction in information retrieval. It is evident from this study that user satisfaction is a subjective variable, which can be influenced by several factors such as system effectiveness, user effectiveness, user effort, and user characteristics and expectations. Therefore, information retrieval evaluators should consider all these factors in obtaining user satisfaction and in using it as a criterion of system effectiveness. Previous studies have conflicting conclusions on the relationship between user satisfaction and system effectiveness; this study has substantiated these findings and supports using user satisfaction as a criterion of system effectiveness. Abstract Copyright 2010 ASIS&T

Title: The development and evaluation of a survey to measure user engagement

Abstract Facilitating engaging user experiences is essential in the design of interactive systems. To accomplish this, it is necessary to understand the composition of this construct and how to evaluate it. Building on previous work that posited a theory of engagement and identified a core set of attributes that operationalized this construct, we constructed and evaluated a multidimensional scale to measure user engagement. In this paper we describe the development of the scale, as well as two large-scale studies (N=440 and N=802) that were undertaken to assess its reliability and validity in online shopping environments. In the first we used Reliability Analysis and Exploratory Factor Analysis to identify six attributes of engagement: Perceived Usability, Aesthetics, Focused Attention, Felt Involvement, Novelty, and Endurability. In the second we tested the validity of and relationships among those attributes using Structural Equation Modeling. The result of this research is a multidimensional scale that may be used to test the engagement of software applications. In addition, findings indicate that attributes of engagement are highly intertwined, a complex interplay of user-system interaction variables. Notably, Perceived Usability played a mediating role in the relationship between Endurability and Novelty, Aesthetics, Felt Involvement, and Focused Attention. Abstract Copyright 2009 ASIS&T

Title: Exploring user engagement in online news interactions

Abstract This paper describes a qualitative study of online news reading and browsing. Thirty people participated in a quasi-experimental study in which they were asked to browse a news website and select three stories to discuss at a social gathering. Semi-structured interviews were conducted post-task to understand participants’ perceptions of what makes online news reading and browsing engaging or non-engaging. Findings as presented within the experience-based framework of user engagement and demonstrate the complexity of users’ interactions with information content and systems in online news environments. This study extends the model of user engagement and contributes new insights into user’s experience in casual-leisure settings, such as online news, which has implications for other information domains. Abstract Copyright 2011 by American Society for Information Science and Technology

Abstract This chapter of The Fabric of Mobile Services: Software Paradigms and Business Demands contains sections titled: New Services and User Experience, User-Centered Simplicity and Experience, Methodologies for Simplicity and User Experience, and Case Studies: Simplifying Paradigms Abstract Copyright 2009 John Wiley & Sons, Inc.

Title: The Right Angle: Visual Portrayal of Products Affects Observers’ Impressions of Owners

Abstract Consumer products have long been known to influence observers’ impressions of product owners. The angle at which products are visually portrayed in advertisements, however, may be an overlooked factor in these effects. We hypothesize and find that portrayals of the same product from different viewpoints can prime different associations that color impressions of product and owner in parallel ways. In Study 1, automobiles were rated higher on status- and power-related traits (e.g., dominant , powerful ) when portrayed head-on versus in side profile, an effect found for sport utility vehicles (SUVs)—a category with a reputation for dominance—but not sedans. In Study 2, these portrayal-based associations influenced the impressions formed about the product’s owner: a target person was rated higher on status- and power-related traits when his SUV was portrayed head-on versus in side profile. These results suggest that the influence of visual portrayal extends beyond general evaluations of products to affect more specific impressions of products and owners alike, and highlight that primed traits are likely to influence impressions when compatible with other knowledge about the target. Abstract Copyright 2012 Wiley Periodicals, Inc

Title: The Counterfeit Self: The Deceptive Costs of Faking It

Abstract Although people buy counterfeit products to signal positive traits, we show that wearing counterfeit products makes individuals feel less authentic and increases their likelihood of both behaving dishonestly and judging others as unethical. In four experiments, participants wore purportedly fake or authentically branded sunglasses. Those wearing fake sunglasses cheated more across multiple tasks than did participants wearing authentic sunglasses, both when they believed they had a preference for counterfeits (Experiment 1a) and when they were randomly assigned to wear them (Experiment 1b). Experiment 2 shows that the effects of wearing counterfeit sunglasses extend beyond the self, influencing judgments of other people’s unethical behavior. Experiment 3 demonstrates that the feelings of inauthenticity that wearing fake products engenders—what we term the counterfeit selfmediate the impact of counterfeits on unethical behavior. Finally, we show that people do not predict the impact of counterfeits on ethicality; thus, the costs of counterfeits are deceptive. Abstract Copyright 2010 Francesca Gino, Michael I. Norton, and Dan Ariely3

Link: http://iwc.oxfordjournals.org/content/26/5/389.full.html?etoc

Menus are a key mechanism for organizing different commands in graphical user interfaces. Nowadays low-cost devices that allow using different interaction techniques in remote interfaces have become widespread. Nevertheless, their corresponding menus are direct adaptations from traditional ones. As a consequence, they are inaccurate and slow, and also produce tiredness. In this paper, we design, implement and evaluate a menu selection technique for remote interfaces, the Body Menu. This technique permits whole-body interaction and is specifically designed to take advantage of the proprioception sense. The Body Menu attaches virtual menu items to different parts of the body and selects them when the users reach these zones with their hands. We use the Microsoft Kinect to implement this system. Additionally, we compared it with the most representative menus, studied the best number of body parts to be used and analyzed how children interact with it. Abstract © 2013 Oxford University Publishing.

Link: http://iwc.oxfordjournals.org/content/26/5/403.full.html?etoc

We present the evaluation of an interactive audio map system that enables blind and partially sighted users to explore and navigate city maps from the safety of their home using simulated 3D audio and synthetic speech alone. We begin with a review of existing literature in the areas of spatial knowledge and wayfinding, auditory displays and auditory map systems, before describing how this research builds on and differentiates itself from this body of work. One key requirement was the ability to quantify the effectiveness of the audio map, so we describe the design and implementation of the evaluation, which took the form of a game downloaded by participants to their own computers. The results demonstrate that participants (blind, partially sighted and sighted) have acquired detailed spatial knowledge and also that the availability of positional audio cues significantly improves wayfinding performance. Abstract © 2013 Oxford University Publishing.

Link: http://iwc.oxfordjournals.org/content/26/5/417.full.html?etoc

Delegation is the practice of sharing authority with another individual to enable them to complete a specific task as a proxy. Practices to permit delegation can range from formal to informal arrangements and can involve spontaneous yet finely balanced notions of trust between people. This paper argues that delegation is a ubiquitous yet an unsupported feature of socio-technical computer systems and that this lack of support illustrates a particular neglect to the everyday financial practices of the more vulnerable people in society. Our contribution is to provide a first exploration of the domain of person-to-person delegation in digital payments, a particularly pressing context. We first report qualitative data collected across several studies concerning banking practices of individuals over 80 years of age. We then use analytical techniques centred upon identification of stakeholders, their concerns and interactions, to characterize the delegation practices we observed. We propose a Concerns Matrix as a suitable representation to capture conflicts in the needs of individuals in such complex socio-technical systems, and finally propose a putative design response in the form of a Helper Card. Abstract © 2013 Oxford University Publishing..

Link: Why We Love Beautiful Things

Great design, the management expert Gary Hamel once said, is like Justice Potter Stewart’s famous definition of pornography — you know it when you see it. You want it, too: brain scan studies reveal that the sight of an attractive product can trigger the part of the motor cerebellum that governs hand movement. Instinctively, we reach out for attractive things; beauty literally moves us. © 2013 New York Times

Link: http://www.bris.ac.uk/news/2013/9478.html

A new study has analysed tens of thousands of articles available to readers of online news and created a model to find out ‘what makes people click’. The aim of the study was to model the reading preferences for the audiences of 14 online news outlets using machine learning techniques. The models, describing the appeal of an article to each audience, were developed by linear functions of word frequencies. The models compared articles that became “most popular” on a given day in a given outlet with articles that did not. The research dentified the most attractive keywords, as well as the least attractive ones, and explained the choices readers made. Abstract © 2013 University of Bristol.

Title: Pointing and Selecting with Facial Activity

Abstract The aim of this paper was to evaluate the use of three facial actions (i.e. frowning, raising the eyebrows, and smiling) in selecting objects on a computer screen when gaze was used for pointing. Dwell time is the most commonly used selection technique in gaze-based interaction, and thus, a dwell time of 400 ms was used as a reference selection technique. A wireless, head-mounted prototype device that carried out eye tracking and contactless, capacitive measurement of facial actions was used for the interaction task. Participants (N=16) performed point-and-select tasks with three pointing distances (i.e. 60, 120 and 240 mm) and three target sizes (i.e. 25, 30 and 40 mm). Task completion times, pointing errors and throughput values based on Fitts’ law were used to compare the selection techniques. The participants also rated the techniques with subjective ratings scales. The results showed that the different techniques performed equally well in many respects. However, throughput values varied from 8.38 bits/s (raising the eyebrows) to 15.33 bits/s (smiling) and were comparable to or, in the case of smiling, better than in earlier research with similar interaction techniques. The dwell time was found to be the least accurate selection technique in terms of the magnitudes of point-and-select errors. Smiling technique was rated as more accurate to use than the frowning or the raising techniques. The results give further support for methods that combine facial behavior to eye tracking when interacting with technology.

Abstract Copyright 2014 Outi Tuisku1, Ville Rantanen, Oleg Špakov, Veikko Surakka and Jukka Lekkala

Title: Modeling Traditional Literacy, Internet Skills and Internet Usage: An Empirical Study

Abstract This paper focuses on the relationships among traditional literacy (reading, writing and understanding text), medium-related Internet skills (consisting of operational and formal skills), content-related Internet skills (consisting of information and strategic skills) and Internet usage types (information- and career-directed Internet use and entertainment use). We conducted a large-scale survey that resulted in a dataset of 1008 respondents. The results reveal the following: (i) traditional literacy has a direct effect on formal and information Internet skills and an indirect effect on strategic Internet skills and (ii) differences in types of Internet usage are indirectly determined by traditional literacy and directly affected by Internet skills, such that higher levels of strategic Internet skills result in more information- and career-directed Internet use. Traditional literacy is a pre-condition for the employment of Internet skills, and Internet skills should not be considered an easy means of disrupting historically grounded inequalities caused by differences in traditional literacy.

Abstract Copyright 2014 A.J.A.M. van Deursen and J.A.G.M. van Dijk

Title: Life Is Too Short to RTFM: How Users Relate to Documentation and Excess Features in Consumer Products

Abstract This paper addresses two common problems that users of various products and interfaces encounter—over-featured interfaces and product documentation. Over-featured interfaces are seen as a problem as they can confuse and over-complicate everyday interactions. Researchers also often claim that users do not read product documentation, although they are often exhorted to ‘RTFM’ (read the field manual). We conducted two sets of studies with users which looked at the issues of both manuals and excess features with common domestic and personal products. The quantitative set was a series of questionnaires administered to 170 people over 7 years. The qualitative set consisted of two 6-month longitudinal studies based on diaries and interviews with a total of 15 participants. We found that manuals are not read by the majority of people, and most do not use all the features of the products that they own and use regularly. Men are more likely to do both than women, and younger people are less likely to use manuals than middle-aged and older ones. More educated people are also less likely to read manuals. Over-featuring and being forced to consult manuals also appears to cause negative emotional experiences. Implications of these findings are discussed.

Abstract Copyright 2014 Alethea L. Blackler, Rafael Gomez, Vesna Popovic and M. Helen Thompson

Title: Effect of Age on Human–Computer Interface Control Via Neck Electromyography

Abstract The purpose of this study was to determine the effect of age on visuomotor tracking using submental and anterior neck surface electromyography (sEMG) to assess feasibility of computer control via neck musculature, which allows people with little remaining motor function to interact with computers. Thirty-two healthy adults participated: 16 younger adults aged 18–29 years and 16 older adults aged 69–85 years. Participants modulated sEMG to achieve targets presented at different amplitudes using real-time visual feedback. Root mean squared (RMS) error was used to quantify tracking performance. RMS error was increased for older adults relative to younger adults. Older adults demonstrated more RMS error than younger adults as a function of increasing target amplitude. The differential effects of age found on static tracking performance in anterior neck musculature suggest more difficult translation of human–computer interfaces controlled using anterior neck musculature for static tasks to older populations.

Abstract Copyright 2014 Gabrielle L. Hands and Cara E. Stepp

Title: Should I Stay or Should I Go? Improving Event Recommendation in the Social Web

Abstract This paper focuses on the recommendation of events in the Social Web, and addresses the problem of finding if, and to which extent, certain features, which are peculiar to events, are relevant in predicting the users’ interests and should thereby be taken into account in recommendation. We consider, in particular, three ‘additional’ features that are usually shown to users within social networking environments: reachability from the user location, the reputation of the event in the community and the participation of the user’s friends. Our study is aimed at evaluating whether adding this information to the description of the event type and topic, and including in the user profile the information on the relevance of these factors, can improve our capability to predict the user’s interest. We approached the problem by carrying out two surveys with users, who were asked to express their interest in a number of events. We then trained, by means of linear regression, a scoring function defined as a linear combination of the different factors, whose goal was to predict the user scores. We repeated this experiment under different hypotheses on the additional factors, in order to assess their relevance by comparing the predictive capabilities of the resulting functions. The compared results of our experiments show that additional factors, if properly weighted, can improve the prediction accuracy with an error reduction of 4.1%. The best results were obtained by combining content-based factors and additional factors in a proportion of ∼10:4.

Abstract Copyright 2014 Federica Cena, Silvia Likavec, Ilaria Lombardi and Claudia Picardi

Title: “I Need to Be Explicit: You’re Wrong”: Impact of Face Threats on Social Evaluations in Online Instructional Communication

Abstract Online instructional communication, as found in ask-an-expert forums, e-learning discussion boards or online help desks, creates situations that threaten the recipient’s face. This study analyzed the evaluation of face-threatening acts with a 1×3 design. An online forum thread confronted a layperson with an expert who either (a) addressed the layperson’s misconceptions directly and frankly, (b) mitigated face threats through explicit hints about the need to be direct or (c) communicated politely and indirectly. College students read these dialogues and assessed the expert communicator’s facework, recipient orientation, credibility and likability. Results showed that polite experts were evaluated most positively; explicit hints did not improve perceptions of face-threatening acts. This implies that users of instructional forums prefer communicators to be polite even when face threats are necessary. We discuss practical implications for different online instruction contexts and make suggestions for further research.

Abstract Copyright 2014 Regina Jucks, Lena Päuler and Benjamin Brummernhenrich

Title: The Potential of a Text-Based Interface as a Design Medium: An Experiment in a Computer Animation Environment

Abstract Since the birth of the concept of direct manipulation, the graphical user interface has been the dominant means of controlling digital objects. In this research, we hypothesize that the benefits of a text-based interface involve multiple tradeoffs, and we explore the potential of text as a medium of design from three perspectives: (i) the perceived level of control of the designed object, (ii) a tool for realizing creative ideas and (iii) an effective form for a highly learnable user interface. Our experiment in a computer animation environment shows that (i) participants did feel a high level of control of characters, (ii) creativity was both restricted and facilitated depending on the task and (iii) natural language expedited the learning of a new interface language. Our research provides experimental proof of the effect of a text-based interface and offers guidelines for the design of future computer-aided design applications.

Abstract Copyright 2014 Sangwon Lee and Jin Yan

Title: Framing a Set: Understanding the Curatorial Character of Personal Digital Bibliographies

Abstract We articulate a model of curatorship that emphasizes framing the character of the curated set as the focus of curatorial activity. This curatorial character is structured through the articulation, via mechanisms of selection, description and arrangement, of coherent classificatory principles. We describe the latest stage of a continuing project to examine the curatorial character of personal digital bibliographies, such as Pinterest boards, Flickr galleries and GoodReads shelves, and to support the design of such curatorially expressive personal collections. In the study reported here, 24 participants created personal bibliographies using either a structured design process, with explicit tasks for selecting, describing and arranging collection items, or an unstructured process that did not separate these activities. Our findings lead to a more complex understanding of personal collections as curatorial, expressive artifacts. We explore the role of cohesion as a quality that facilitates expression of the curatorial frame, and we find that when designers read source materials as a part of a set, they are more likely to write cohesive collections. Our findings also suggest that the curatorial act involves both the definition of abstract classificatory principles and their instantiation in a specific material environment. We describe various framing devices that facilitate these reading and writing activities, and we suggest design directions for supporting curatorial reading and writing tasks.

Abstract Copyright 2014 Melanie Feinberg, Ramona Broussard and Eryn Whitworth

Title: Identifying Problems Associated with Focus and Context Awareness in 3D Modelling Tasks

Abstract Creating complex 3D models is a challenging process. One of the main reasons for this is that 3D models are usually created using software developed for conventional 2D displays which lack true depth perspective, and therefore do not support correct perception of spatial placement and depth-ordering of displayed content. As a result, modellers often have to deal with many overlapping components of 3D models (e.g. vertices, edges, faces, etc.) on a 2D display surface. This in turn causes them to have difficulties in distinguishing distances, maintaining position and orientation awareness, etc. To better understand the nature of these problems, which can collectively be defined as ‘focus and context awareness’ problems, we have conducted a pilot study with a group of novice 3D modellers, and a series of interviews with a group of professional 3D modellers. This article presents these two studies, and their findings, which have resulted in identifying a set of focus and context awareness problems that modellers face in creating 3D models using conventional modelling software. The article also provides a review of potential solutions to these problems in the related literature.

Abstract Copyright 2014 Masood Masoodian, Azmi bin Mohd Yusof and Bill Rogers

Abstract The goal of user experience design in industry is to improve customer satisfaction and loyalty through the utility, ease of use, and pleasure provided in the interaction with a product. So far, user experience studies have mostly focused on short-term evaluations and consequently on aspects relating to the initial adoption of new product designs. Nevertheless, the relationship between the user and the product evolves over long periods of time and the relevance of prolonged use for market success has been recently highlighted. In this paper, we argue for the cost-effective elicitation of longitudinal user experience data. We propose a method called the “UX Curve” which aims at assisting users in retrospectively reporting how and why their experience with a product has changed over time. The usefulness of the UX Curve method was assessed in a qualitative study with 20 mobile phone users. In particular, we investigated how users’ specific memories of their experiences with their mobile phones guide their behavior and their willingness to recommend the product to others. The results suggest that the UX Curve method enables users and researchers to determine the quality of long-term user experience and the influences that improve user experience over time or cause it to deteriorate. The method provided rich qualitative data and we found that an improving trend of perceived attractiveness of mobile phones was related to user satisfaction and willingness to recommend their phone to friends. This highlights that sustaining perceived attractiveness can be a differentiating factor in the user acceptance of personal interactive products such as mobile phones. The study suggests that the proposed method can be used as a straightforward tool for understanding the reasons why user experience improves or worsens in long-term product use and how these reasons relate to customer loyalty.

Abstract Copyright 2011 Sari Kujalaa, Virpi Rotob, Kaisa Väänänen-Vainio-Mattilaa, Evangelos Karapanosc and Arto Sinneläa

Title: Researching Young Children’s Everyday Uses of Technology in the Family Home

Abstract Studies of the everyday uses of technology in family homes have tended to overlook the role of children and, in particular, young children. A study that was framed by an ecocultural approach focusing on children’s play and learning with toys and technologies is used to illustrate some of the methodological challenges of conducting research with young children in the home. This theoretical framework enabled us to identify and develop a range of methods that illuminated the home’s unique mix of inhabitants, learning opportunities and resources and to investigate parents’ ethnotheories, or cultural beliefs, that gave rise to the complex of practices, values and attitudes and their intersections with technology and support for learning in the home. This resulted in a better understanding of the role of technology in the lives of these 3- and 4-year-old children.

Abstract Copyright 2014 Lydia Plowman

Title: Measuring web usability using item response theory: Principles, features and opportunities

Abstract Usability is considered a critical issue on the web that determines either the success or the failure of a company. Thus, the evaluation of usability has gained substantial attention. However, most current tools for usability evaluation have some limitations, such as excessive generality and a lack of reliability and validity. The present work proposes the construction of a tool to measure usability in e-commerce websites using item response theory (IRT). While usability issues have only been considered in theoretical or empirical contexts, in this study, we discuss them from a mathematical point of view using IRT. In particular, we develop a standardised scale to measure usability in e-commerce websites. This study opens a new field of research in the ergonomics of interfaces with respect to the development of scales using IRT.

Abstract Copyright 2011 Rafael Tezzaa, Antonio Cezar Borniaa and Dalton Francisco de Andrade

Title: Everything Science Knows Right Now About Standing Desks

Abstract If it wasn’t already clear through common sense, it’s become painfully clear through science that sitting all day is terrible for your health. What’s especially alarming about this evidence is that extra physical activity doesn’t seem to offset the costs of what researchers call “prolonged sedentary time.” Just as jogging and tomato juice don’t make up for a night of smoking and drinking, a little evening exercise doesn’t erase the physical damage done by a full work day at your desk.

In response some people have turned to active desks—be it a standing workspace or even a treadmill desk—but the research on this recent trend has been too scattered to draw clear conclusions on its benefits (and potential drawbacks). At least until now. A trio of Canada-based researchers has analyzed the strongest 23 active desk studies to draw some conclusions on how standing and treadmill desks impact both physiological health and psychological performance. Abstract Copyright 2015 Eric Jaffe

Send Us Your Research References: If you have interesting and relevant research references post, post content as comment below for possible inclusion in next year’s updated list.

Other Content from PulseUX: Here are 2 other references from widely read and quoted long-form posts you may find interesting.

Angry Birds UX: Why Angry Birds is so successful and popular: a cognitive teardown of the user experience (1.5 million page views). https://live-mauro-usability-science.pantheonsite.io/blog/why-angry-birds-is-so-successful-a-cognitive-teardown-of-the-user-experience/

Apple v. Samsung: Impact and Implications for Product Design, User Interface Design (UX), Software Development and the Future of High-Technology Consumer Products https://live-mauro-usability-science.pantheonsite.io/blog/apple-v-samsung-implications-for-product-design-user-interface-ux-design-software-development-and-the-future-of-high-technology-consumer-products/

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Literature Review

5 Best Research Graphic Organizer Templates For Researchers

Discover the 5 best research graphic organizer templates to simplify and streamline your research process.

Aug 27, 2024

Researching a paper can feel overwhelming and chaotic. First, you must sift through countless sources before narrowing them down to a manageable number. Then, you need to extract information from each source while keeping track of everything you've uncovered. Research graphic organizers can help you structure your notes and identify connections between sources to streamline the writing process. 

In this guide, we'll explore the ins and outs of research graphic organizers and offer tips for using them effectively.  With the right tools and strategies, you'll write your paper quickly. Otio's AI literature search and writing partner can help you organize by summarizing information from your sources, creating research graphic organizers, and much more. 

Table Of Contents

What are research graphics, what is a research graphic organizer, how to create a graphic organizer easily, purpose of research graphic organizer, supercharge your researching ability with otio — try otio for free today.

Research graphics depict data or information connected to a research project. They summarize findings, help present complex data more efficiently, or illustrate relationships between variables.  

Common Types of Research Graphics  

Research graphics come in many varieties. Here are a few of the most common types:  

Bar Charts  

These visuals compare categories or groups. They feature rectangular bars that represent different categories, with the length of each bar corresponding to its value.  

Line Charts  

Line charts show trends or changes over time. They plot individual values on an X and Y axis and connect them with a line to illustrate how they relate over a certain period.  

Pie Charts  

These circular visuals represent the proportions or percentages of a whole. Each slice of the pie corresponds to a category’s contribution to the total. Pie charts work well for illustrating data with a limited number of categories.  

Scatter Plots  

Scatter plots show relationships between two variables. Each value pair in a data set is plotted as a dot on a two-dimensional graph. By examining the pattern of dots, you can determine whether the two variables have a positive, negative, or no correlation.  

Histograms  

Histograms depict the distribution of a single variable. They look similar to bar charts, but instead of comparing categories, they show the frequency of data within ranges or bins.  

Infographics  

Infographics present complex information in a visually appealing and easy-to-understand format. They combine visuals with minimal text to communicate a research topic to a broad audience. Infographics can take many forms and are often colorful and engaging.

Research graphic organizers help you effectively structure your research . They visually organize the notes to help you analyze and present your findings.  When you outline your research paper, you may discover that certain graphic organizers fit your project better than others. In time, you will figure out which types of research graphic organizers work best for you. 

Concept Maps: Visually Connect Ideas

Concept maps in research look like diagrams or webs that show the relationships between different ideas or concepts. They help researchers brainstorm information and organize and visualize their notes.  You can create concept maps to grasp the bigger picture of your research topic and assess how different areas of study connect.  Doing so will help you narrow your focus and pinpoint specific investigative aspects.  Then, as you collect research, you can revise your concept map to reflect new information and how it alters your understanding of the topic. 

Venn Diagrams: Compare and Contrast Information

Venn diagrams use overlapping circles to organize data visually. Each circle represents a different research topic, idea, or concept. As you collect information, you can jot down notes in the appropriate sections to analyze similarities and differences between your subjects. Venn diagrams are handy when your research involves contrasting theories, historical events, or studies with different conclusions. 

Flowcharts: Outline Processes and Methodology

Flowcharts help researchers visualize both experimental processes and methodologies. They break down complex steps into more uncomplicated, easy-to-follow instructions. Flowcharts can also help identify areas of research that need further exploration. For example, if you create a flowchart to outline the steps of a scientific experiment, you may discover an area that needs more information. This could lead you to conduct further research before proceeding with your experiment. 

Timeline Charts: Track Progressions Over Time

Timeline charts help researchers visualize how events unfold over time. They can help you organize historical data for research papers or projects, track the development of a particular topic, or map out your research progressions. As you collect data, you can create a timeline chart to help you organize your information and present your findings. 

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1. Open Google Sheets

To get started, open Google Sheets and create a new blank spreadsheet by clicking on the "+ New/Blank" button in the upper-left corner of the screen. 

2. Create Your Columns

Next, begin adding your categories to the first row or column. These categories will serve as the column headers for your graphic organizer. 

3. Adjust the Formatting

After that, use the formatting tools in Google Sheets to customize the appearance of your graphic organizer. You can change the font, font size, color, and background color of your text to make it more visually appealing. Play around with the format until you find a style that works for you. 

4. Continue Adding New Content 

Finally, enter your research notes under each category in the corresponding column. You can add text, numbers, and even images to your sheet. Continue to add notes as your research progresses, adding new categories or columns as needed.

1. Say Goodbye to Research Overload with Otio

Knowledge workers, researchers, and students today suffer from content overload.  And they are left to deal with it using fragmented, complex, and manual tooling. Too many of them settle for stitching together complicated bookmarking, read-it-later, and note-taking apps to get through their workflows. Now that anyone can create content with a button, this problem will only worsen. 

Otio solves this problem by providing researchers with one AI-native workspace. It helps them collect various data sources, from bookmarks, tweets, and extensive books to YouTube videos. Otio can then extract key takeaways with detailed AI-generated notes and source-grounded Q&A chat. Lastly, it helps you create draft outputs using your collected sources. In short, Otio enables you to go from the reading list to the first draft faster.

Along with this, Otio also helps you write research papers/essays faster . Here are our top features that researchers love: AI-generated notes on all bookmarks (YouTube videos, PDFs, articles, etc.), enabling you to chat with individual links or entire knowledge bases, just like you chat with ChatGPT and AI-assisted writing. 

Let Otio be your AI research and writing partner — try Otio for free today !

2. EdrawMax: The Online Graphic Organizer Tool for All Your Needs 

EdrawMax Online is a cloud-based software that allows users to create various diagrams, charts, drawings, and graphic organizers. By signing up, you can access a canvas to draw any organizer of your choice by dragging and dropping various shapes and symbols from the included library. You can also use EdrawMax Online to create graphic organizers for research papers . You can choose to make one from scratch or just use a template, albeit the latter option relies on the presence of a template in the template gallery.

3. HMH Templates: Free and Customizable Graphic Organizers 

Help your students classify ideas and communicate more effectively with these free graphic organizer templates, available for download at HMH. They can be used to structure writing projects and help with problem-solving, decision-making, studying, planning research, and brainstorming.

4. Teachers Pay Teachers: Thousands of Graphic Organizers for All Subjects 

TPT is a platform with over 2000 graphic organizer templates in areas such as animal research , career research, and more. These fillable templates are easy to use and can help students and researchers organize information in one place.

5. Canva: Graphic Organizer Templates to Get You Started 

Learn concepts, brainstorm ideas, and gain insights using editable graphic organizer templates you can customize for any topic or purpose on Canva.

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Graphic organizers help learners of every age categorize, clarify, or simplify information. They support writing, reading, and research by assisting students to construct knowledge by exploring the relationships between concepts. 

Supporting Complex Learning 

Research graphic organizers can be beneficial for students tackling complex texts or topics. Teacher-generated organizers can help students categorize and analyze large amounts of information, introduce a refined lens to examine a complex text, and enable students to recognize patterns and compare perspectives. The visual nature of graphic organizers can also help reduce students’ anxiety about complex learning by providing a structured approach to the work. 

Limiting Rigid Thinking 

Despite their benefits, graphic organizers' structured nature can lead to some unintended consequences. For example, students may need more than the graphic organizer to manage their learning rather than approach the task flexibly. This can cause students to avoid the messy yet essential work of surfacing key insights or conceptual understanding. Instead, they may limit their thinking to just filling in the boxes of the graphic organizer. 

Designing for Learning 

When the goal is to support student learning, graphic organizers can provide intellectual guardrails to guide students toward more profound understanding and learning. Well-designed graphic organizers should help students categorize key concepts, surface the interconnection of ideas, or help students construct knowledge. For example, suppose your desired learning objective is to have students explain the paradox that an overly weak and overly strong government can threaten individual liberty. In that case, the graphic organizer must be constructed to generate that level of thinking. 

The organizer should ensure that students move beyond the traditional listing of the weaknesses of the Articles of Confederation . Instead, the design should lead students to thoughtfully analyze how liberty was impacted under the British monarchy and the Articles of Confederation. The organizer should require students to compare plot elements from the story to the typical rising/falling action, climax, and resolution storyline; determine where and why the author made similar or different choices; and offer a judgment regarding the deliberate craft moves. 

If the goal is to have students form well-reasoned opinions, the ubiquitous Venn diagram, although a viable means to make comparisons, doesn’t automatically require students to weigh the relative strengths of the elements depicted, isolate the most significant similarities or differences, or rate or discriminate between elements that would inform a thoughtful point of view. Unless designed with the end in mind, organizers may unintentionally lead students on an intellectual scavenger hunt that generates surface understanding and thinking. The design of the graphic organizer must align with the learning goal and require that students apply the information they deconstructed to make meaning or develop unique insights. 

Imagine you’re a researcher. You’ve been given a grant to study the effects of climate change on polar bear populations. You’ll need to write a paper, and you want to produce something with real value. You want to collect and analyze data on the topic and write the best paper you can. The only problem is a massive content overload on climate change and polar bears. If you searched for "climate change and polar bears" today, you'd get over 5 million results. 

That’s a lot of content to sift through. Imagine that instead of going through this process alone, you had a research partner. But instead of a human, it was an AI with superpowers specifically designed to help you with academic research. This is what Otio aims to do. It allows researchers and students to deal with academic content overload and produces better research papers. 

Collect: Gather Knowledge From Anywhere 

Otio helps you collect knowledge from anywhere. Whether reading a scientific journal, watching a YouTube video, or sifting through tweets, Otio enables you to gather all this information in one place. Instead of a disorganized collection of bookmarks, you’ll have a clean and organized visual interface that helps you get to the writing faster. 

Extract: Synthesize Information with AI 

Once you’ve collected enough data, Otio helps you understand it all. Using advanced AI technology, it generates notes for all your collected research. Need to understand what a specific bookmark is about? Just ask Otio. Do you want to chat with the data before you start writing? No problem. With Otio, you’ll extract the vital information you need to produce better research. 

Create: Write Research Papers Faster 

Otio doesn’t just help you gather and understand academic research. It enables you to write research papers faster. Using machine learning, Otio can help you draft outputs based on your collected sources. This way, you can go from the reading list to the first draft faster and produce better work. 

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Markups and Markdowns

Interest in market power has recently surged among economists in many fields, well beyond its traditional home in industrial organization. This has focused empirical attention on markups, the ratios of price to marginal cost in product markets, and markdowns, the ratios of inputs’ marginal products to their paid wage in factor markets. In this review, I offer a conceptual overview of both metrics and survey recent research examining them. I pay particular attention to the distinct interests that microeconomists and macroeconomists have had regarding these metrics, as well as topics that have bridged and are bridging these often distinct literatures.

This paper was prepared for Annual Reviews in Economics. I am serving as an expert witness in a legal case involving market power issues. The views expressed herein are those of the author and do not necessarily reflect the views of the National Bureau of Economic Research.

MARC RIS BibTeΧ

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More from NBER

In addition to working papers , the NBER disseminates affiliates’ latest findings through a range of free periodicals — the NBER Reporter , the NBER Digest , the Bulletin on Retirement and Disability , the Bulletin on Health , and the Bulletin on Entrepreneurship  — as well as online conference reports , video lectures , and interviews .