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10 Research Question Examples to Guide your Research Project

Published on October 30, 2022 by Shona McCombes . Revised on October 19, 2023.

The research question is one of the most important parts of your research paper , thesis or dissertation . It’s important to spend some time assessing and refining your question before you get started.

The exact form of your question will depend on a few things, such as the length of your project, the type of research you’re conducting, the topic , and the research problem . However, all research questions should be focused, specific, and relevant to a timely social or scholarly issue.

Once you’ve read our guide on how to write a research question , you can use these examples to craft your own.

Note that the design of your research question can depend on what method you are pursuing. Here are a few options for qualitative, quantitative, and statistical research questions.

Other interesting articles

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

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How To Write a Research Question

Academic writing and research require a distinct focus and direction. A well-designed research question gives purpose and clarity to your research. In addition, it helps your readers understand the issue you are trying to address and explore.

Every time you want to know more about a subject, you will pose a question. The same idea is used in research as well. You must pose a question in order to effectively address a research problem. That's why the research question is an integral part of the research process. Additionally, it offers the author writing and reading guidelines, be it qualitative research or quantitative research.

In your research paper , you must single out just one issue or problem. The specific issue or claim you wish to address should be included in your thesis statement in order to clarify your main argument.

A good research question must have the following characteristics.

• Should include only one problem in the research question
• Should be able to find the answer using primary data and secondary data sources
• Should be possible to resolve within the given time and other constraints
• Detailed and in-depth results should be achievable
• Should be relevant and realistic.
• It should relate to your chosen area of research

While a larger project, like a thesis, might have several research questions to address, each one should be directed at your main area of study. Of course, you can use different research designs and research methods (qualitative research or quantitative research) to address various research questions. However, they must all be pertinent to the study's objectives.

What is a Research Question?

A research question is an inquiry that the research attempts to answer. It is the heart of the systematic investigation. Research questions are the most important step in any research project. In essence, it initiates the research project and establishes the pace for the specific research A research question is:

• Clear : It provides enough detail that the audience understands its purpose without any additional explanation.
• Focused : It is so specific that it can be addressed within the time constraints of the writing task.
• Succinct: It is written in the shortest possible words.
• Complex : It is not possible to answer it with a "yes" or "no", but requires analysis and synthesis of ideas before somebody can create a solution.
• Argumental : Its potential answers are open for debate rather than accepted facts.

A good research question usually focuses on the research and determines the research design, methodology, and hypothesis. It guides all phases of inquiry, data collection, analysis, and reporting. You should gather valuable information by asking the right questions.

Why are Research Questions so important?

Regardless of whether it is a qualitative research or quantitative research project, research questions provide writers and their audience with a way to navigate the writing and research process. Writers can avoid "all-about" papers by asking straightforward and specific research questions that help them focus on their research and support a specific thesis.

Types of Research Questions

There are two types of research: Qualitative research and Quantitative research . There must be research questions for every type of research. Your research question will be based on the type of research you want to conduct and the type of data collection.

The first step in designing research involves identifying a gap and creating a focused research question.

Below is a list of common research questions that can be used in a dissertation. Keep in mind that these are merely illustrations of typical research questions used in dissertation projects. The real research questions themselves might be more difficult.

Example Research Questions

The following are a few examples of research questions and research problems to help you understand how research questions can be created for a particular research problem.

Steps to Write Research Questions

You can focus on the issue or research gaps you're attempting to solve by using the research questions as a direction.

If you're unsure how to go about writing a good research question, these are the steps to follow in the process:

• Select an interesting topic Always choose a topic that interests you. Because if your curiosity isn’t aroused by a subject, you’ll have a hard time conducting research around it. Alos, it’s better that you pick something that’s neither too narrow or too broad.
• Do preliminary research on the topic Search for relevant literature to gauge what problems have already been tackled by scholars. You can do that conveniently through repositories like Scispace , where you’ll find millions of papers in one place. Once you do find the papers you’re looking for, try our reading assistant, SciSpace Copilot to get simple explanations for the paper . You’ll be able to quickly understand the abstract, find the key takeaways, and the main arguments presented in the paper. This will give you a more contextual understanding of your subject and you’ll have an easier time identifying knowledge gaps in your discipline.

     Also: ChatPDF vs. SciSpace Copilot: Unveiling the best tool for your research

• Consider your audience It is essential to understand your audience to develop focused research questions for essays or dissertations. When narrowing down your topic, you can identify aspects that might interest your audience.
• Ask questions Asking questions will give you a deeper understanding of the topic. Evaluate your question through the What, Why, When, How, and other open-ended questions assessment.
• Assess your question Once you have created a research question, assess its effectiveness to determine if it is useful for the purpose. Refine and revise the dissertation research question multiple times.

Additionally, use this list of questions as a guide when formulating your research question.

Are you able to answer a specific research question? After identifying a gap in research, it would be helpful to formulate the research question. And this will allow the research to solve a part of the problem. Is your research question clear and centered on the main topic? It is important that your research question should be specific and related to your central goal. Are you tackling a difficult research question? It is not possible to answer the research question with a simple yes or no. The problem requires in-depth analysis. It is often started with "How" and "Why."

Start your research Once you have completed your dissertation research questions, it is time to review the literature on similar topics to discover different perspectives.

Strong  Research Question Samples

Uncertain: How should social networking sites work on the hatred that flows through their platform?

Certain: What should social media sites like Twitter or Facebook do to address the harm they are causing?

This unclear question does not specify the social networking sites that are being used or what harm they might be causing. In addition, this question assumes that the "harm" has been proven and/or accepted. This version is more specific and identifies the sites (Twitter, Facebook), the type and extent of harm (privacy concerns), and who might be suffering from that harm (users). Effective research questions should not be ambiguous or interpreted.

Unfocused: What are the effects of global warming on the environment?

Focused: What are the most important effects of glacial melting in Antarctica on penguins' lives?

This broad research question cannot be addressed in a book, let alone a college-level paper. Focused research targets a specific effect of global heating (glacial  melting), an area (Antarctica), or a specific animal (penguins). The writer must also decide which effect will have the greatest impact on the animals affected. If in doubt, narrow down your research question to the most specific possible.

Too Simple: What are the U.S. doctors doing to treat diabetes?

Appropriately complex: Which factors, if any, are most likely to predict a person's risk of developing diabetes?

This simple version can be found online. It is easy to answer with a few facts. The second, more complicated version of this question is divided into two parts. It is thought-provoking and requires extensive investigation as well as evaluation by the author. So, ensure that a quick Google search should not answer your research question.

How to write a strong Research Question?

The foundation of all research is the research question. You should therefore spend as much time as necessary to refine your research question based on various data.

You can conduct your research more efficiently and analyze your results better if you have great research questions for your dissertation, research paper , or essay .

The following criteria can help you evaluate the strength and importance of your research question and can be used to determine the strength of your research question:

• Researchable
• It should only cover one issue.
• A subjective judgment should not be included in the question.
• It can be answered with data analysis and research.
• Specific and Practical
• It should not contain a plan of action, policy, or solution.
• It should be clearly defined
• Within research limits
• Complex and Arguable
• It shouldn't be difficult to answer.
• To find the truth, you need in-depth knowledge
• Allows for discussion and deliberation
• Original and Relevant
• It should be in your area of study
• Its results should be measurable
• It should be original

Conclusion - How to write Research Questions?

Research questions provide a clear guideline for research. One research question may be part of a larger project, such as a dissertation. However, each question should only focus on one topic.

Research questions must be answerable, practical, specific, and applicable to your field. The research type that you use to base your research questions on will determine the research topic. You can start by selecting an interesting topic and doing preliminary research. Then, you can begin asking questions, evaluating your questions, and start your research.

Now it's easier than ever to streamline your research workflow with SciSpace ResearchGPT . Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, read, write and publish their research and fosters collaboration.

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How to Write a Research Question: Types and Examples 

The first step in any research project is framing the research question. It can be considered the core of any systematic investigation as the research outcomes are tied to asking the right questions. Thus, this primary interrogation point sets the pace for your research as it helps collect relevant and insightful information that ultimately influences your work.   

Typically, the research question guides the stages of inquiry, analysis, and reporting. Depending on the use of quantifiable or quantitative data, research questions are broadly categorized into quantitative or qualitative research questions. Both types of research questions can be used independently or together, considering the overall focus and objectives of your research.  

What is a research question?

A research question is a clear, focused, concise, and arguable question on which your research and writing are centered. 1 It states various aspects of the study, including the population and variables to be studied and the problem the study addresses. These questions also set the boundaries of the study, ensuring cohesion. 

Designing the research question is a dynamic process where the researcher can change or refine the research question as they review related literature and develop a framework for the study. Depending on the scale of your research, the study can include single or multiple research questions. 

A good research question has the following features: 

• It is relevant to the chosen field of study. 
• The question posed is arguable and open for debate, requiring synthesizing and analysis of ideas. 
• It is focused and concisely framed. 
• A feasible solution is possible within the given practical constraint and timeframe. 

A poorly formulated research question poses several risks. 1   

• Researchers can adopt an erroneous design. 
• It can create confusion and hinder the thought process, including developing a clear protocol.  
• It can jeopardize publication efforts.  
• It causes difficulty in determining the relevance of the study findings.  
• It causes difficulty in whether the study fulfils the inclusion criteria for systematic review and meta-analysis. This creates challenges in determining whether additional studies or data collection is needed to answer the question.  
• Readers may fail to understand the objective of the study. This reduces the likelihood of the study being cited by others. 

Now that you know “What is a research question?”, let’s look at the different types of research questions. 

Types of research questions

Depending on the type of research to be done, research questions can be classified broadly into quantitative, qualitative, or mixed-methods studies. Knowing the type of research helps determine the best type of research question that reflects the direction and epistemological underpinnings of your research. 

The structure and wording of quantitative 2 and qualitative research 3 questions differ significantly. The quantitative study looks at causal relationships, whereas the qualitative study aims at exploring a phenomenon. 

• Quantitative research questions:  
• Seeks to investigate social, familial, or educational experiences or processes in a particular context and/or location.  
• Answers ‘how,’ ‘what,’ or ‘why’ questions. 
• Investigates connections, relations, or comparisons between independent and dependent variables. 

Quantitative research questions can be further categorized into descriptive, comparative, and relationship, as explained in the Table below. 

• Qualitative research questions  

Qualitative research questions are adaptable, non-directional, and more flexible. It concerns broad areas of research or more specific areas of study to discover, explain, or explore a phenomenon. These are further classified as follows: 

• Mixed-methods studies  

Mixed-methods studies use both quantitative and qualitative research questions to answer your research question. Mixed methods provide a complete picture than standalone quantitative or qualitative research, as it integrates the benefits of both methods. Mixed methods research is often used in multidisciplinary settings and complex situational or societal research, especially in the behavioral, health, and social science fields. 

What makes a good research question

A good research question should be clear and focused to guide your research. It should synthesize multiple sources to present your unique argument, and should ideally be something that you are interested in. But avoid questions that can be answered in a few factual statements. The following are the main attributes of a good research question. 

• Specific: The research question should not be a fishing expedition performed in the hopes that some new information will be found that will benefit the researcher. The central research question should work with your research problem to keep your work focused. If using multiple questions, they should all tie back to the central aim. 
• Measurable: The research question must be answerable using quantitative and/or qualitative data or from scholarly sources to develop your research question. If such data is impossible to access, it is better to rethink your question. 
• Attainable: Ensure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific. 
• You have the expertise 
• You have the equipment and resources 
• Realistic: Developing your research question should be based on initial reading about your topic. It should focus on addressing a problem or gap in the existing knowledge in your field or discipline. 
• Based on some sort of rational physics 
• Can be done in a reasonable time frame 
• Timely: The research question should contribute to an existing and current debate in your field or in society at large. It should produce knowledge that future researchers or practitioners can later build on. 
• Novel 
• Based on current technologies. 
• Important to answer current problems or concerns. 
• Lead to new directions. 
• Important: Your question should have some aspect of originality. Incremental research is as important as exploring disruptive technologies. For example, you can focus on a specific location or explore a new angle. 
• Meaningful whether the answer is “Yes” or “No.” Closed-ended, yes/no questions are too simple to work as good research questions. Such questions do not provide enough scope for robust investigation and discussion. A good research question requires original data, synthesis of multiple sources, and original interpretation and argumentation before providing an answer. 

Steps for developing a good research question

The importance of research questions cannot be understated. When drafting a research question, use the following frameworks to guide the components of your question to ease the process. 4  

• Determine the requirements: Before constructing a good research question, set your research requirements. What is the purpose? Is it descriptive, comparative, or explorative research? Determining the research aim will help you choose the most appropriate topic and word your question appropriately. 
• Select a broad research topic: Identify a broader subject area of interest that requires investigation. Techniques such as brainstorming or concept mapping can help identify relevant connections and themes within a broad research topic. For example, how to learn and help students learn. 
• Perform preliminary investigation: Preliminary research is needed to obtain up-to-date and relevant knowledge on your topic. It also helps identify issues currently being discussed from which information gaps can be identified. 
• Narrow your focus: Narrow the scope and focus of your research to a specific niche. This involves focusing on gaps in existing knowledge or recent literature or extending or complementing the findings of existing literature. Another approach involves constructing strong research questions that challenge your views or knowledge of the area of study (Example: Is learning consistent with the existing learning theory and research). 
• Identify the research problem: Once the research question has been framed, one should evaluate it. This is to realize the importance of the research questions and if there is a need for more revising (Example: How do your beliefs on learning theory and research impact your instructional practices). 

How to write a research question

Those struggling to understand how to write a research question, these simple steps can help you simplify the process of writing a research question. 

Sample Research Questions

The following are some bad and good research question examples 

• Example 1 

• Example 2 

References:  

• Thabane, L., Thomas, T., Ye, C., & Paul, J. (2009). Posing the research question: not so simple.  Canadian Journal of Anesthesia/Journal canadien d’anesthésie ,  56 (1), 71-79. 
• Rutberg, S., & Bouikidis, C. D. (2018). Focusing on the fundamentals: A simplistic differentiation between qualitative and quantitative research.  Nephrology Nursing Journal ,  45 (2), 209-213. 
• Kyngäs, H. (2020). Qualitative research and content analysis.  The application of content analysis in nursing science research , 3-11. 
• Mattick, K., Johnston, J., & de la Croix, A. (2018). How to… write a good research question.  The clinical teacher ,  15 (2), 104-108. 
• Fandino, W. (2019). Formulating a good research question: Pearls and pitfalls.  Indian Journal of Anaesthesia ,  63 (8), 611. 
• Richardson, W. S., Wilson, M. C., Nishikawa, J., & Hayward, R. S. (1995). The well-built clinical question: a key to evidence-based decisions.  ACP journal club ,  123 (3), A12-A13 

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How to write a research question

Last updated

7 February 2023

Reviewed by

Miroslav Damyanov

In this article, we take an in-depth look at what a research question is, the different types of research questions, and how to write one (with examples). Read on to get started with your thesis, dissertation, or research paper .

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• What is a research question?

A research question articulates exactly what you want to learn from your research. It stems directly from your research objectives, and you will arrive at an answer through data analysis and interpretation.

However, it is not that simple to write a research question—even when you know the question you intend to answer with your study. The main characteristics of a good research question are:

Feasible. You need to have the resources and abilities to examine the question, collect the data, and give answers.

Interesting. Create research questions that offer fascinating insights into your industry.

Novel. Research questions have to offer something new within your field of study.

Ethical. The research question topic should be approved by the relevant authorities and review boards.

Relevant. Your research question should lead to visible changes in society or your industry.

Usually, you write one single research question to guide your entire research paper. The answer becomes the thesis statement—the central position of your argument. A dissertation or thesis, on the other hand, may require multiple problem statements and research questions. However, they should be connected and focused on a specific problem.

• Importance of the research question

A research question acts as a guide for your entire study. It serves two vital purposes:

to determine the specific issue your research paper addresses

to identify clear objectives

Therefore, it helps split your research into small steps that you need to complete to provide answers.

Your research question will also provide boundaries for your study, which help set limits and ensure cohesion.

Finally, it acts as a frame of reference for assessing your work. Bear in mind that research questions can evolve, shift, and change during the early stages of your study or project.

• Types of research questions

The type of research you are conducting will dictate the type of research question to use. Primarily, research questions are grouped into three distinct categories of study:

qualitative

quantitative

mixed-method

Let’s look at each of these in turn:

Quantitative research questions

The number-one rule of quantitative research questions is that they are precise. They mainly include:

independent and dependent variables

the exact population being studied

the research design to be used

Therefore, you must frame and finalize quantitative research questions before starting the study.

Equally, a quantitative research question creates a link between itself and the research design. These questions cannot be answered with simple 'yes' or' no' responses, so they begin with words like 'does', 'do', 'are', and 'is'.

Quantitative research questions can be divided into three categories:

Relationship research questions usually leverage words such as 'trends' and 'association' because they include independent and dependent variables. They seek to define or explore trends and interactions between multiple variables.

Comparative research questions tend to analyze the differences between different groups to find an outcome variable. For instance, you may decide to compare two distinct groups where a specific variable is present in one and absent in the other.

Descriptive research questions usually start with the word 'what' and aim to measure how a population will respond to one or more variables.

Qualitative research questions

Like quantitative research questions, these questions are linked to the research design. However, qualitative research questions may deal with a specific or broad study area. This makes them more flexible, very adaptable, and usually non-directional.

Use qualitative research questions when your primary aim is to explain, discover, or explore.

There are seven types of qualitative research questions:

Explanatory research questions investigate particular topic areas that aren't well known.

Contextual research questions describe the workings of what is already in existence.

Evaluative research questions examine the effectiveness of specific paradigms or methods.

Ideological research questions aim to advance existing ideologies.

Descriptive research questions describe an event.

Generative research questions help develop actions and theories by providing new ideas.

Emancipatory research questions increase social action engagement, usually to benefit disadvantaged people.

Mixed-methods studies

With mixed-methods studies, you combine qualitative and quantitative research elements to get answers to your research question. This approach is ideal when you need a more complete picture. through a blend of the two approaches.

Mixed-methods research is excellent in multidisciplinary settings, societal analysis, and complex situations. Consider the following research question examples, which would be ideal candidates for a mixed-methods approach

How can non-voter and voter beliefs about democracy (qualitative) help explain Town X election turnout patterns (quantitative)?

How does students’ perception of their study environment (quantitative) relate to their test score differences (qualitative)?

• Developing a strong research question—a step-by-step guide

Research questions help break up your study into simple steps so you can quickly achieve your objectives and find answers. However, how do you develop a good research question? Here is our step-by-step guide:

1. Choose a topic

The first step is to select a broad research topic for your study. Pick something within your expertise and field that interests you. After all, the research itself will stem from the initial research question.

2. Conduct preliminary research

Once you have a broad topic, dig deeper into the problem by researching past studies in the field and gathering requirements from stakeholders if you work in a business setting.

Through this process, you will discover articles that mention areas not explored in that field or products that didn’t resonate with people’s expectations in a particular industry. For instance, you could explore specific topics that earlier research failed to study or products that failed to meet user needs.

3. Keep your audience in mind

Is your audience interested in the particular field you want to study? Are the research questions in your mind appealing and interesting to the audience? Defining your audience will help you refine your research question and ensure you pick a question that is relatable to your audience.

4. Generate a list of potential questions

Ask yourself numerous open-ended questions on the topic to create a potential list of research questions. You could start with broader questions and narrow them down to more specific ones. Don’t forget that you can challenge existing assumptions or use personal experiences to redefine research issues.

5. Review the questions

Evaluate your list of potential questions to determine which seems most effective. Ensure you consider the finer details of every question and possible outcomes. Doing this helps you determine if the questions meet the requirements of a research question.

6. Construct and evaluate your research question

Consider these two frameworks when constructing a good research question: PICOT and PEO. 

PICOT stands for:

P: Problem or population

I: Indicator or intervention to be studied

C: Comparison groups

O: Outcome of interest

T: Time frame

PEO stands for:

P: Population being studied

E: Exposure to any preexisting conditions

To evaluate your research question once you’ve constructed it, ask yourself the following questions:

Is it clear?

Your study should produce precise data and observations. For qualitative studies, the observations need to be delineable across categories. Quantitative studies must have measurable and empirical data.

Is it specific and focused?

An excellent research question must be specific enough to ensure your testing yields objective results. General or open-ended research questions are often ambiguous and subject to different kinds of interpretation.

Is it sufficiently complex?

Your research needs to yield substantial and consequential results to warrant the study. Merely supporting or reinforcing an existing paper is not good enough.

• Examples of good research questions

A robust research question actively contributes to a specific body of knowledge; it is a question that hasn’t been answered before within your research field.

Here are some examples of good and bad research questions :

Good: How effective are A and B policies at reducing the rates of Z?

Bad: Is A or B a better policy?

The first is more focused and researchable because it isn't based on value judgment. The second fails to give clear criteria for answering the question.

Good: What is the effect of daily Twitter use on the attention span of college students?

Bad: What is the effect of social media use on people's minds?

The first includes specific and well-defined concepts, which the second lacks.

Ensure all terms within your research question have precise meanings. Avoid vague or general language that makes the topic too broad.

• The bottom line

The success of any research starts with formulating the right questions that ensure you collect the most insightful data. A good research question will showcase the objectives of your systematic investigation and emphasize specific contexts.

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The Ultimate Guide to Qualitative Research - Part 1: The Basics

• Introduction and overview
• What is qualitative research?
• What is qualitative data?
• Examples of qualitative data
• Qualitative vs. quantitative research
• Mixed methods
• Qualitative research preparation
• Theoretical perspective
• Theoretical framework
• Literature reviews
• Introduction

Why are research questions so important?

Research question examples, types of qualitative research questions, writing a good research question, guiding your research through research questions.

• Conceptual framework
• Conceptual vs. theoretical framework
• Data collection
• Qualitative research methods
• Focus groups
• Observational research
• Case studies
• Ethnographical research
• Ethical considerations
• Confidentiality and privacy
• Power dynamics
• Reflexivity

Research questions

The research question plays a critical role in the research process, as it guides the study design, data collection , analysis , and interpretation of the findings.

A research paper relies on a research question to inform readers of the research topic and the research problem being addressed. Without such a question, your audience may have trouble understanding the rationale for your research project.

People can take for granted the research question as an essential part of a research project. However, explicitly detailing why researchers need a research question can help lend clarity to the research project. Here are some of the key roles that the research question plays in the research process:

Defines the scope and focus of the study

The research question helps to define the scope and focus of the study. It identifies the specific topic or issue that the researcher wants to investigate, and it sets the boundaries for the study. A research question can also help you determine if your study primarily contributes to theory or is more applied in nature. Clinical research and public health research, for example, may be more concerned with research questions that contribute to practice, while a research question focused on cognitive linguistics are aimed at developing theory.

Provides a rationale for the study

The research question provides a rationale for the study by identifying a gap or problem in existing literature or practice that the researcher wants to address. It articulates the purpose and significance of the study, and it explains why the study is important and worth conducting.

Guides the study design

The research question guides the study design by helping the researcher select appropriate research methods , sampling strategies, and data collection tools. It also helps to determine the types of data that need to be collected and the best ways to analyze and interpret the data because the principal aim of the study is to provide an answer to that research question.

Shapes the data analysis and interpretation

The research question shapes the data analysis and interpretation by guiding the selection of appropriate analytical methods and by focusing the interpretation of the findings. It helps to identify which patterns and themes in the data are more relevant and worth digging into, and it guides the development of conclusions and recommendations based on the findings.

Generates new knowledge

The research question is the starting point for generating new knowledge. By answering the research question, the researcher contributes to the body of knowledge in the field and helps to advance the understanding of the topic or issue under investigation.

Overall, the research question is a critical component of the research process, as it guides the study from start to finish and provides a foundation for generating new knowledge.

Supports the thesis statement

The thesis statement or main assertion in any research paper stems from the answers to the research question. As a result, you can think of a focused research question as a preview of what the study aims to present as a new contribution to existing knowledge.

Here area few examples of focused research questions that can help set the stage for explaining different types of research questions in qualitative research . These questions touch upon various fields and subjects, showcasing the versatility and depth of research.

• What factors contribute to the job satisfaction of remote workers in the technology industry?
• How do teachers perceive the implementation of technology in the classroom, and what challenges do they face?
• What coping strategies do refugees use to deal with the challenges of resettlement in a new country?
• How does gentrification impact the sense of community and identity among long-term residents in urban neighborhoods?
• In what ways do social media platforms influence body image and self-esteem among adolescents?
• How do family dynamics and communication patterns affect the management of type 2 diabetes in adult patients?
• What is the role of mentorship in the professional development and career success of early-career academics?
• How do patients with chronic illnesses experience and navigate the healthcare system, and what barriers do they encounter?
• What are the motivations and experiences of volunteers in disaster relief efforts, and how do these experiences impact their future involvement in humanitarian work?
• How do cultural beliefs and values shape the consumer preferences and purchasing behavior of young adults in a globalized market?
• How do individuals whose genetic factors predict a high risk for developing a specific medical condition perceive, cope with, and make lifestyle choices based on this information?

These example research questions highlight the different kinds of inquiries common to qualitative research. They also demonstrate how qualitative research can address a wide range of topics, from understanding the experiences of specific populations to examining the impact of broader social and cultural phenomena.

Also, notice that these types of research questions tend to be geared towards inductive analyses that describe a concept in depth or develop new theory. As such, qualitative research questions tend to ask "what," "why," or "how" types of questions. This contrasts with quantitative research questions that typically aim to verify an existing theory. and tend to ask "when," "how much," and "why" types of questions to nail down causal mechanisms and generalizable findings.

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As you can see above, the research questions you ask play a critical role in shaping the direction and depth of your study. These questions are designed to explore, understand, and interpret social phenomena, rather than testing a hypothesis or quantifying data like in quantitative research. In this section, we will discuss the various types of research questions typically found in qualitative research, making it easier for you to craft appropriate questions for your study.

Descriptive questions

Descriptive research questions aim to provide a detailed account of the phenomenon being studied. These questions usually begin with "what" or "how" and seek to understand the nature, characteristics, or functions of a subject. For example, "What are the experiences of first-generation college students?" or "How do small business owners adapt to economic downturns?"

Comparative questions

Comparative questions seek to examine the similarities and differences between two or more groups, cases, or phenomena. These questions often include the words "compare," "contrast," or "differences." For example, "How do parenting practices differ between single-parent and two-parent families?" or "What are the similarities and differences in leadership styles among successful female entrepreneurs?"

Exploratory questions

Exploratory research questions are open-ended and intended to investigate new or understudied areas. These questions aim to identify patterns, relationships, or themes that may warrant further investigation. For example, "How do teenagers use social media to construct their identities?" or "What factors influence the adoption of renewable energy technologies in rural communities?"

Explanatory questions

Explanatory research questions delve deeper into the reasons or explanations behind a particular phenomenon or behavior. They often start with "why" or "how" and aim to uncover underlying motivations, beliefs, or processes. For example, "Why do some employees resist organizational change?" or "How do cultural factors influence decision-making in international business negotiations?"

Evaluative questions

Evaluative questions assess the effectiveness, impact, or outcomes of a particular intervention, program, or policy. They seek to understand the value or significance of an initiative by examining its successes, challenges, or unintended consequences. For example, "How effective is the school's anti-bullying program in reducing incidents of bullying?" or "What are the long-term impacts of a community-based health promotion campaign on residents' well-being?"

Interpretive questions

Interpretive questions focus on understanding how individuals or groups make sense of their experiences, actions, or social contexts. These questions often involve the analysis of language, symbols, or narratives to uncover the meanings and perspectives that shape human behavior. For example, "How do cancer survivors make sense of their illness journey?" or "What meanings do members of a religious community attach to their rituals and practices?"

There are mainly two overarching ways to think about how to devise a research question. Many studies are built on existing research, but others can be founded on personal experiences or pilot research.

Using the literature review

Within scholarly research, the research question is often built from your literature review . An analysis of the relevant literature reporting previous studies should allow you to identify contextual, theoretical, or methodological gaps that can be addressed in future research.

A compelling research question built on a robust literature review ultimately illustrates to your audience what is novel about your study's objectives.

Conducting pilot research

Researchers may conduct preliminary research or pilot research when they are interested in a particular topic but don't yet have a basis for forming a research question on that topic. A pilot study is a small-scale, preliminary study that is conducted in order to test the feasibility of a research design, methods, and procedures. It can help identify unresolved puzzles that merit further investigation, and pilot studies can draw attention to potential issues or problems that may arise in the full study.

One potential benefit of conducting a pilot study in qualitative research is that it can help the researcher to refine their research question. By collecting and analyzing a small amount of data, the researcher can get a better sense of the phenomenon under investigation and can develop a more focused and refined research question for the full study. The pilot study can also help the researcher to identify key themes, concepts, or variables that should be included in the research question.

In addition to helping to refine the research question, a pilot study can also help the researcher to develop a more effective data collection and analysis plan. The researcher can test different methods for collecting and analyzing data, and can make adjustments based on the results of the pilot study. This can help to ensure that the full study is conducted in the most effective and efficient manner possible.

Overall, conducting a pilot study in qualitative research can be a valuable tool for refining the research question and developing a more effective research design, methods, and procedures. It can help to ensure that the full study is conducted in a rigorous and effective manner, and can increase the likelihood of generating meaningful and useful findings.

When you write a research question for your qualitative study, consider which type of question best aligns with your research objectives and the nature of the phenomenon you are investigating. Remember, qualitative research questions should be open-ended, allowing for a range of perspectives and insights to emerge. As you progress in your research, these questions may evolve or be refined based on the data you collect, helping to guide your analysis and deepen your understanding of the topic.

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How to write qualitative research questions.

11 min read Here’s how to write effective qualitative research questions for your projects, and why getting it right matters so much.

What is qualitative research?

Qualitative research is a blanket term covering a wide range of research methods and theoretical framing approaches. The unifying factor in all these types of qualitative study is that they deal with data that cannot be counted. Typically this means things like people’s stories, feelings, opinions and emotions , and the meanings they ascribe to their experiences.

Qualitative study is one of two main categories of research, the other being quantitative research. Quantitative research deals with numerical data – that which can be counted and quantified, and which is mostly concerned with trends and patterns in large-scale datasets.

What are research questions?

Research questions are questions you are trying to answer with your research. To put it another way, your research question is the reason for your study, and the beginning point for your research design. There is normally only one research question per study, although if your project is very complex, you may have multiple research questions that are closely linked to one central question.

A good qualitative research question sums up your research objective. It’s a way of expressing the central question of your research, identifying your particular topic and the central issue you are examining.

Research questions are quite different from survey questions, questions used in focus groups or interview questions. A long list of questions is used in these types of study, as opposed to one central question. Additionally, interview or survey questions are asked of participants, whereas research questions are only for the researcher to maintain a clear understanding of the research design.

Research questions are used in both qualitative and quantitative research , although what makes a good research question might vary between the two.

In fact, the type of research questions you are asking can help you decide whether you need to take a quantitative or qualitative approach to your research project.

Discover the fundamentals of qualitative research

Quantitative vs. qualitative research questions

Writing research questions is very important in both qualitative and quantitative research, but the research questions that perform best in the two types of studies are quite different.

Quantitative research questions

Quantitative research questions usually relate to quantities, similarities and differences.

It might reflect the researchers’ interest in determining whether relationships between variables exist, and if so whether they are statistically significant. Or it may focus on establishing differences between things through comparison, and using statistical analysis to determine whether those differences are meaningful or due to chance.

• How much? This kind of research question is one of the simplest. It focuses on quantifying something. For example:

How many Yoruba speakers are there in the state of Maine?

• What is the connection?

This type of quantitative research question examines how one variable affects another.

For example:

How does a low level of sunlight affect the mood scores (1-10) of Antarctic explorers during winter?

• What is the difference? Quantitative research questions in this category identify two categories and measure the difference between them using numerical data.

Do white cats stay cooler than tabby cats in hot weather?

If your research question fits into one of the above categories, you’re probably going to be doing a quantitative study.

Qualitative research questions

Qualitative research questions focus on exploring phenomena, meanings and experiences.

Unlike quantitative research, qualitative research isn’t about finding causal relationships between variables. So although qualitative research questions might touch on topics that involve one variable influencing another, or looking at the difference between things, finding and quantifying those relationships isn’t the primary objective.

In fact, you as a qualitative researcher might end up studying a very similar topic to your colleague who is doing a quantitative study, but your areas of focus will be quite different. Your research methods will also be different – they might include focus groups, ethnography studies, and other kinds of qualitative study.

A few example qualitative research questions:

• What is it like being an Antarctic explorer during winter?
• What are the experiences of Yoruba speakers in the USA?
• How do white cat owners describe their pets?

Qualitative research question types

Marshall and Rossman (1989) identified 4 qualitative research question types, each with its own typical research strategy and methods.

• Exploratory questions

Exploratory questions are used when relatively little is known about the research topic. The process researchers follow when pursuing exploratory questions might involve interviewing participants, holding focus groups, or diving deep with a case study.

• Explanatory questions

With explanatory questions, the research topic is approached with a view to understanding the causes that lie behind phenomena. However, unlike a quantitative project, the focus of explanatory questions is on qualitative analysis of multiple interconnected factors that have influenced a particular group or area, rather than a provable causal link between dependent and independent variables.

• Descriptive questions

As the name suggests, descriptive questions aim to document and record what is happening. In answering descriptive questions , researchers might interact directly with participants with surveys or interviews, as well as using observational studies and ethnography studies that collect data on how participants interact with their wider environment.

• Predictive questions

Predictive questions start from the phenomena of interest and investigate what ramifications it might have in the future. Answering predictive questions may involve looking back as well as forward, with content analysis, questionnaires and studies of non-verbal communication (kinesics).

Why are good qualitative research questions important?

We know research questions are very important. But what makes them so essential? (And is that question a qualitative or quantitative one?)

Getting your qualitative research questions right has a number of benefits.

• It defines your qualitative research project Qualitative research questions definitively nail down the research population, the thing you’re examining, and what the nature of your answer will be.This means you can explain your research project to other people both inside and outside your business or organization. That could be critical when it comes to securing funding for your project, recruiting participants and members of your research team, and ultimately for publishing your results. It can also help you assess right the ethical considerations for your population of study.
• It maintains focus Good qualitative research questions help researchers to stick to the area of focus as they carry out their research. Keeping the research question in mind will help them steer away from tangents during their research or while they are carrying out qualitative research interviews. This holds true whatever the qualitative methods are, whether it’s a focus group, survey, thematic analysis or other type of inquiry.That doesn’t mean the research project can’t morph and change during its execution – sometimes this is acceptable and even welcome – but having a research question helps demarcate the starting point for the research. It can be referred back to if the scope and focus of the project does change.
• It helps make sure your outcomes are achievable

Because qualitative research questions help determine the kind of results you’re going to get, it helps make sure those results are achievable. By formulating good qualitative research questions in advance, you can make sure the things you want to know and the way you’re going to investigate them are grounded in practical reality. Otherwise, you may be at risk of taking on a research project that can’t be satisfactorily completed.

Developing good qualitative research questions

All researchers use research questions to define their parameters, keep their study on track and maintain focus on the research topic. This is especially important with qualitative questions, where there may be exploratory or inductive methods in use that introduce researchers to new and interesting areas of inquiry. Here are some tips for writing good qualitative research questions.

1. Keep it specific

Broader research questions are difficult to act on. They may also be open to interpretation, or leave some parameters undefined.

Strong example: How do Baby Boomers in the USA feel about their gender identity?

Weak example: Do people feel different about gender now?

2. Be original

Look for research questions that haven’t been widely addressed by others already.

Strong example: What are the effects of video calling on women’s experiences of work?

Weak example: Are women given less respect than men at work?

3. Make it research-worthy

Don’t ask a question that can be answered with a ‘yes’ or ‘no’, or with a quick Google search.

Strong example: What do people like and dislike about living in a highly multi-lingual country?

Weak example: What languages are spoken in India?

4. Focus your question

Don’t roll multiple topics or questions into one. Qualitative data may involve multiple topics, but your qualitative questions should be focused.

Strong example: What is the experience of disabled children and their families when using social services?

Weak example: How can we improve social services for children affected by poverty and disability?

4. Focus on your own discipline, not someone else’s

Avoid asking questions that are for the politicians, police or others to address.

Strong example: What does it feel like to be the victim of a hate crime?

Weak example: How can hate crimes be prevented?

5. Ask something researchable

Big questions, questions about hypothetical events or questions that would require vastly more resources than you have access to are not useful starting points for qualitative studies. Qualitative words or subjective ideas that lack definition are also not helpful.

Strong example: How do perceptions of physical beauty vary between today’s youth and their parents’ generation?

Weak example: Which country has the most beautiful people in it?

Related resources

Qualitative research design 12 min read, primary vs secondary research 14 min read, business research methods 12 min read, qualitative research interviews 11 min read, market intelligence 10 min read, marketing insights 11 min read, ethnographic research 11 min read, request demo.

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How to Write a Good Research Question (w/ Examples)

What is a Research Question?

A research question is the main question that your study sought or is seeking to answer. A clear research question guides your research paper or thesis and states exactly what you want to find out, giving your work a focus and objective. Learning  how to write a hypothesis or research question is the start to composing any thesis, dissertation, or research paper. It is also one of the most important sections of a research proposal . 

A good research question not only clarifies the writing in your study; it provides your readers with a clear focus and facilitates their understanding of your research topic, as well as outlining your study’s objectives. Before drafting the paper and receiving research paper editing (and usually before performing your study), you should write a concise statement of what this study intends to accomplish or reveal.

Research Question Writing Tips

Listed below are the important characteristics of a good research question:

A good research question should:

• Be clear and provide specific information so readers can easily understand the purpose.
• Be focused in its scope and narrow enough to be addressed in the space allowed by your paper
• Be relevant and concise and express your main ideas in as few words as possible, like a hypothesis.
• Be precise and complex enough that it does not simply answer a closed “yes or no” question, but requires an analysis of arguments and literature prior to its being considered acceptable. 
• Be arguable or testable so that answers to the research question are open to scrutiny and specific questions and counterarguments.

Some of these characteristics might be difficult to understand in the form of a list. Let’s go into more detail about what a research question must do and look at some examples of research questions.

The research question should be specific and focused 

Research questions that are too broad are not suitable to be addressed in a single study. One reason for this can be if there are many factors or variables to consider. In addition, a sample data set that is too large or an experimental timeline that is too long may suggest that the research question is not focused enough.

A specific research question means that the collective data and observations come together to either confirm or deny the chosen hypothesis in a clear manner. If a research question is too vague, then the data might end up creating an alternate research problem or hypothesis that you haven’t addressed in your Introduction section .

The research question should be based on the literature 

An effective research question should be answerable and verifiable based on prior research because an effective scientific study must be placed in the context of a wider academic consensus. This means that conspiracy or fringe theories are not good research paper topics.

Instead, a good research question must extend, examine, and verify the context of your research field. It should fit naturally within the literature and be searchable by other research authors.

References to the literature can be in different citation styles and must be properly formatted according to the guidelines set forth by the publishing journal, university, or academic institution. This includes in-text citations as well as the Reference section . 

The research question should be realistic in time, scope, and budget

There are two main constraints to the research process: timeframe and budget.

A proper research question will include study or experimental procedures that can be executed within a feasible time frame, typically by a graduate doctoral or master’s student or lab technician. Research that requires future technology, expensive resources, or follow-up procedures is problematic.

A researcher’s budget is also a major constraint to performing timely research. Research at many large universities or institutions is publicly funded and is thus accountable to funding restrictions. 

The research question should be in-depth

Research papers, dissertations and theses , and academic journal articles are usually dozens if not hundreds of pages in length.

A good research question or thesis statement must be sufficiently complex to warrant such a length, as it must stand up to the scrutiny of peer review and be reproducible by other scientists and researchers.

Research Question Types

Qualitative and quantitative research are the two major types of research, and it is essential to develop research questions for each type of study. 

Quantitative Research Questions

Quantitative research questions are specific. A typical research question involves the population to be studied, dependent and independent variables, and the research design.

In addition, quantitative research questions connect the research question and the research design. In addition, it is not possible to answer these questions definitively with a “yes” or “no” response. For example, scientific fields such as biology, physics, and chemistry often deal with “states,” in which different quantities, amounts, or velocities drastically alter the relevance of the research.

As a consequence, quantitative research questions do not contain qualitative, categorical, or ordinal qualifiers such as “is,” “are,” “does,” or “does not.”

Categories of quantitative research questions

Qualitative Research Questions

In quantitative research, research questions have the potential to relate to broad research areas as well as more specific areas of study. Qualitative research questions are less directional, more flexible, and adaptable compared with their quantitative counterparts. Thus, studies based on these questions tend to focus on “discovering,” “explaining,” “elucidating,” and “exploring.”

Categories of qualitative research questions

Quantitative and Qualitative Research Question Examples

Good and Bad Research Question Examples

Below are some good (and not-so-good) examples of research questions that researchers can use to guide them in crafting their own research questions.

Research Question Example 1

The first research question is too vague in both its independent and dependent variables. There is no specific information on what “exposure” means. Does this refer to comments, likes, engagement, or just how much time is spent on the social media platform?

Second, there is no useful information on what exactly “affected” means. Does the subject’s behavior change in some measurable way? Or does this term refer to another factor such as the user’s emotions?

Research Question Example 2

In this research question, the first example is too simple and not sufficiently complex, making it difficult to assess whether the study answered the question. The author could really only answer this question with a simple “yes” or “no.” Further, the presence of data would not help answer this question more deeply, which is a sure sign of a poorly constructed research topic.

The second research question is specific, complex, and empirically verifiable. One can measure program effectiveness based on metrics such as attendance or grades. Further, “bullying” is made into an empirical, quantitative measurement in the form of recorded disciplinary actions.

Steps for Writing a Research Question

Good research questions are relevant, focused, and meaningful. It can be difficult to come up with a good research question, but there are a few steps you can follow to make it a bit easier.

1. Start with an interesting and relevant topic

Choose a research topic that is interesting but also relevant and aligned with your own country’s culture or your university’s capabilities. Popular academic topics include healthcare and medical-related research. However, if you are attending an engineering school or humanities program, you should obviously choose a research question that pertains to your specific study and major.

Below is an embedded graph of the most popular research fields of study based on publication output according to region. As you can see, healthcare and the basic sciences receive the most funding and earn the highest number of publications. 

2. Do preliminary research  

You can begin doing preliminary research once you have chosen a research topic. Two objectives should be accomplished during this first phase of research. First, you should undertake a preliminary review of related literature to discover issues that scholars and peers are currently discussing. With this method, you show that you are informed about the latest developments in the field.

Secondly, identify knowledge gaps or limitations in your topic by conducting a preliminary literature review . It is possible to later use these gaps to focus your research question after a certain amount of fine-tuning.

3. Narrow your research to determine specific research questions

You can focus on a more specific area of study once you have a good handle on the topic you want to explore. Focusing on recent literature or knowledge gaps is one good option. 

By identifying study limitations in the literature and overlooked areas of study, an author can carve out a good research question. The same is true for choosing research questions that extend or complement existing literature.

4. Evaluate your research question

Make sure you evaluate the research question by asking the following questions:

Is my research question clear?

The resulting data and observations that your study produces should be clear. For quantitative studies, data must be empirical and measurable. For qualitative, the observations should be clearly delineable across categories.

Is my research question focused and specific?

A strong research question should be specific enough that your methodology or testing procedure produces an objective result, not one left to subjective interpretation. Open-ended research questions or those relating to general topics can create ambiguous connections between the results and the aims of the study. 

Is my research question sufficiently complex?

The result of your research should be consequential and substantial (and fall sufficiently within the context of your field) to warrant an academic study. Simply reinforcing or supporting a scientific consensus is superfluous and will likely not be well received by most journal editors.  

Editing Your Research Question

Your research question should be fully formulated well before you begin drafting your research paper. However, you can receive English paper editing and proofreading services at any point in the drafting process. Language editors with expertise in your academic field can assist you with the content and language in your Introduction section or other manuscript sections. And if you need further assistance or information regarding paper compositions, in the meantime, check out our academic resources , which provide dozens of articles and videos on a variety of academic writing and publication topics.

Research Aims, Objectives & Questions

The “Golden Thread” Explained Simply (+ Examples)

By: David Phair (PhD) and Alexandra Shaeffer (PhD) | June 2022

The research aims , objectives and research questions (collectively called the “golden thread”) are arguably the most important thing you need to get right when you’re crafting a research proposal , dissertation or thesis . We receive questions almost every day about this “holy trinity” of research and there’s certainly a lot of confusion out there, so we’ve crafted this post to help you navigate your way through the fog.

Overview: The Golden Thread

• What is the golden thread
• What are research aims ( examples )
• What are research objectives ( examples )
• What are research questions ( examples )
• The importance of alignment in the golden thread

What is the “golden thread”?  

The golden thread simply refers to the collective research aims , research objectives , and research questions for any given project (i.e., a dissertation, thesis, or research paper ). These three elements are bundled together because it’s extremely important that they align with each other, and that the entire research project aligns with them.

Importantly, the golden thread needs to weave its way through the entirety of any research project , from start to end. In other words, it needs to be very clearly defined right at the beginning of the project (the topic ideation and proposal stage) and it needs to inform almost every decision throughout the rest of the project. For example, your research design and methodology will be heavily influenced by the golden thread (we’ll explain this in more detail later), as well as your literature review.

The research aims, objectives and research questions (the golden thread) define the focus and scope ( the delimitations ) of your research project. In other words, they help ringfence your dissertation or thesis to a relatively narrow domain, so that you can “go deep” and really dig into a specific problem or opportunity. They also help keep you on track , as they act as a litmus test for relevance. In other words, if you’re ever unsure whether to include something in your document, simply ask yourself the question, “does this contribute toward my research aims, objectives or questions?”. If it doesn’t, chances are you can drop it.

Alright, enough of the fluffy, conceptual stuff. Let’s get down to business and look at what exactly the research aims, objectives and questions are and outline a few examples to bring these concepts to life.

Research Aims: What are they?

Simply put, the research aim(s) is a statement that reflects the broad overarching goal (s) of the research project. Research aims are fairly high-level (low resolution) as they outline the general direction of the research and what it’s trying to achieve .

Research Aims: Examples  

True to the name, research aims usually start with the wording “this research aims to…”, “this research seeks to…”, and so on. For example:

“This research aims to explore employee experiences of digital transformation in retail HR.”   “This study sets out to assess the interaction between student support and self-care on well-being in engineering graduate students”  

As you can see, these research aims provide a high-level description of what the study is about and what it seeks to achieve. They’re not hyper-specific or action-oriented, but they’re clear about what the study’s focus is and what is being investigated.

Need a helping hand?

Research Objectives: What are they?

The research objectives take the research aims and make them more practical and actionable . In other words, the research objectives showcase the steps that the researcher will take to achieve the research aims.

The research objectives need to be far more specific (higher resolution) and actionable than the research aims. In fact, it’s always a good idea to craft your research objectives using the “SMART” criteria. In other words, they should be specific, measurable, achievable, relevant and time-bound”.

Research Objectives: Examples  

Let’s look at two examples of research objectives. We’ll stick with the topic and research aims we mentioned previously.  

For the digital transformation topic:

To observe the retail HR employees throughout the digital transformation. To assess employee perceptions of digital transformation in retail HR. To identify the barriers and facilitators of digital transformation in retail HR.

And for the student wellness topic:

To determine whether student self-care predicts the well-being score of engineering graduate students. To determine whether student support predicts the well-being score of engineering students. To assess the interaction between student self-care and student support when predicting well-being in engineering graduate students.

  As you can see, these research objectives clearly align with the previously mentioned research aims and effectively translate the low-resolution aims into (comparatively) higher-resolution objectives and action points . They give the research project a clear focus and present something that resembles a research-based “to-do” list.

Research Questions: What are they?

Finally, we arrive at the all-important research questions. The research questions are, as the name suggests, the key questions that your study will seek to answer . Simply put, they are the core purpose of your dissertation, thesis, or research project. You’ll present them at the beginning of your document (either in the introduction chapter or literature review chapter) and you’ll answer them at the end of your document (typically in the discussion and conclusion chapters).  

The research questions will be the driving force throughout the research process. For example, in the literature review chapter, you’ll assess the relevance of any given resource based on whether it helps you move towards answering your research questions. Similarly, your methodology and research design will be heavily influenced by the nature of your research questions. For instance, research questions that are exploratory in nature will usually make use of a qualitative approach, whereas questions that relate to measurement or relationship testing will make use of a quantitative approach.  

Let’s look at some examples of research questions to make this more tangible.

Research Questions: Examples  

Again, we’ll stick with the research aims and research objectives we mentioned previously.  

For the digital transformation topic (which would be qualitative in nature):

How do employees perceive digital transformation in retail HR? What are the barriers and facilitators of digital transformation in retail HR?  

And for the student wellness topic (which would be quantitative in nature):

Does student self-care predict the well-being scores of engineering graduate students? Does student support predict the well-being scores of engineering students? Do student self-care and student support interact when predicting well-being in engineering graduate students?  

You’ll probably notice that there’s quite a formulaic approach to this. In other words, the research questions are basically the research objectives “converted” into question format. While that is true most of the time, it’s not always the case. For example, the first research objective for the digital transformation topic was more or less a step on the path toward the other objectives, and as such, it didn’t warrant its own research question.  

So, don’t rush your research questions and sloppily reword your objectives as questions. Carefully think about what exactly you’re trying to achieve (i.e. your research aim) and the objectives you’ve set out, then craft a set of well-aligned research questions . Also, keep in mind that this can be a somewhat iterative process , where you go back and tweak research objectives and aims to ensure tight alignment throughout the golden thread.

The importance of strong alignment 

Alignment is the keyword here and we have to stress its importance . Simply put, you need to make sure that there is a very tight alignment between all three pieces of the golden thread. If your research aims and research questions don’t align, for example, your project will be pulling in different directions and will lack focus . This is a common problem students face and can cause many headaches (and tears), so be warned.

Take the time to carefully craft your research aims, objectives and research questions before you run off down the research path. Ideally, get your research supervisor/advisor to review and comment on your golden thread before you invest significant time into your project, and certainly before you start collecting data .  

Recap: The golden thread

In this post, we unpacked the golden thread of research, consisting of the research aims , research objectives and research questions . You can jump back to any section using the links below.

As always, feel free to leave a comment below – we always love to hear from you. Also, if you’re interested in 1-on-1 support, take a look at our private coaching service here.

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

40 Comments

Thank you very much for your great effort put. As an Undergraduate taking Demographic Research & Methodology, I’ve been trying so hard to understand clearly what is a Research Question, Research Aim and the Objectives in a research and the relationship between them etc. But as for now I’m thankful that you’ve solved my problem.

Well appreciated. This has helped me greatly in doing my dissertation.

An so delighted with this wonderful information thank you a lot.

so impressive i have benefited a lot looking forward to learn more on research.

I am very happy to have carefully gone through this well researched article.

Infact,I used to be phobia about anything research, because of my poor understanding of the concepts.

Now,I get to know that my research question is the same as my research objective(s) rephrased in question format.

I please I would need a follow up on the subject,as I intends to join the team of researchers. Thanks once again.

Thanks so much. This was really helpful.

I know you pepole have tried to break things into more understandable and easy format. And God bless you. Keep it up

i found this document so useful towards my study in research methods. thanks so much.

This is my 2nd read topic in your course and I should commend the simplified explanations of each part. I’m beginning to understand and absorb the use of each part of a dissertation/thesis. I’ll keep on reading your free course and might be able to avail the training course! Kudos!

Thank you! Better put that my lecture and helped to easily understand the basics which I feel often get brushed over when beginning dissertation work.

This is quite helpful. I like how the Golden thread has been explained and the needed alignment.

This is quite helpful. I really appreciate!

The article made it simple for researcher students to differentiate between three concepts.

Very innovative and educational in approach to conducting research.

I am very impressed with all these terminology, as I am a fresh student for post graduate, I am highly guided and I promised to continue making consultation when the need arise. Thanks a lot.

A very helpful piece. thanks, I really appreciate it .

Very well explained, and it might be helpful to many people like me.

Wish i had found this (and other) resource(s) at the beginning of my PhD journey… not in my writing up year… 😩 Anyways… just a quick question as i’m having some issues ordering my “golden thread”…. does it matter in what order you mention them? i.e., is it always first aims, then objectives, and finally the questions? or can you first mention the research questions and then the aims and objectives?

Thank you for a very simple explanation that builds upon the concepts in a very logical manner. Just prior to this, I read the research hypothesis article, which was equally very good. This met my primary objective.

My secondary objective was to understand the difference between research questions and research hypothesis, and in which context to use which one. However, I am still not clear on this. Can you kindly please guide?

In research, a research question is a clear and specific inquiry that the researcher wants to answer, while a research hypothesis is a tentative statement or prediction about the relationship between variables or the expected outcome of the study. Research questions are broader and guide the overall study, while hypotheses are specific and testable statements used in quantitative research. Research questions identify the problem, while hypotheses provide a focus for testing in the study.

Exactly what I need in this research journey, I look forward to more of your coaching videos.

This helped a lot. Thanks so much for the effort put into explaining it.

What data source in writing dissertation/Thesis requires?

What is data source covers when writing dessertation/thesis

This is quite useful thanks

I’m excited and thankful. I got so much value which will help me progress in my thesis.

where are the locations of the reserch statement, research objective and research question in a reserach paper? Can you write an ouline that defines their places in the researh paper?

Very helpful and important tips on Aims, Objectives and Questions.

Thank you so much for making research aim, research objectives and research question so clear. This will be helpful to me as i continue with my thesis.

Thanks much for this content. I learned a lot. And I am inspired to learn more. I am still struggling with my preparation for dissertation outline/proposal. But I consistently follow contents and tutorials and the new FB of GRAD Coach. Hope to really become confident in writing my dissertation and successfully defend it.

As a researcher and lecturer, I find splitting research goals into research aims, objectives, and questions is unnecessarily bureaucratic and confusing for students. For most biomedical research projects, including ‘real research’, 1-3 research questions will suffice (numbers may differ by discipline).

Awesome! Very important resources and presented in an informative way to easily understand the golden thread. Indeed, thank you so much.

Well explained

The blog article on research aims, objectives, and questions by Grad Coach is a clear and insightful guide that aligns with my experiences in academic research. The article effectively breaks down the often complex concepts of research aims and objectives, providing a straightforward and accessible explanation. Drawing from my own research endeavors, I appreciate the practical tips offered, such as the need for specificity and clarity when formulating research questions. The article serves as a valuable resource for students and researchers, offering a concise roadmap for crafting well-defined research goals and objectives. Whether you’re a novice or an experienced researcher, this article provides practical insights that contribute to the foundational aspects of a successful research endeavor.

A great thanks for you. it is really amazing explanation. I grasp a lot and one step up to research knowledge.

I really found these tips helpful. Thank you very much Grad Coach.

I found this article helpful. Thanks for sharing this.

thank you so much, the explanation and examples are really helpful

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How to Write Quantitative Research Questions: Types With Examples

Market Research Specialist

Emma David, a seasoned market research professional, specializes in employee engagement, survey administration, and data management. Her expertise in leveraging data for informed decisions has positively impacted several brands, enhancing their market position.

Has it ever happened that you conducted a quantitative research study and found out the results you were expecting are quite different from the actual results?

This could happen due to many factors like the unpredictable nature of respondents, errors in calculation, research bias, etc. However, your quantitative research usually does not provide reliable results when questions are not written correctly.

We get it! Structuring the quantitative research questions can be a difficult task.

Hence, in this blog, we will share a few bits of advice on how to write good quantitative research questions. We will also look at different types of quantitative research questions along with their examples.

Let’s start:

How to Write Quantitative Research Questions?

When you want to obtain actionable insight into the trends and patterns of the research topic to make sense of it, quantitative research questions are your best bet.

Being objective in nature, these questions provide you with detailed information about the research topic and help in collecting quantifiable data that can be easily analyzed. This data can be generalized to the entire population and help make data-driven and sound decisions.

Respondents find it easier to answer quantitative survey questions than qualitative questions. At the same time, researchers can also analyze them quickly using various statistical models.

However, when it comes to writing the quantitative research questions, one can get a little overwhelmed as the entire study depends on the types of questions used.

There is no “one good way” to prepare these questions. However, to design well-structured quantitative research questions, you can follow the 4-steps approach given below:

1. Select the Type of Quantitative Question

The first step is to determine which type of quantitative question you want to add to your study. There are three types of quantitative questions:

• Descriptive
• Comparative 
• Relationship-based

This will help you choose the correct words and phrases while constructing the question. At the same time, it will also assist readers in understanding the question correctly.

2. Identify the Type of Variable

The second step involves identifying the type of variable you are trying to measure, manipulate, or control. Basically, there are two types of variables:

• Independent variable (a variable that is being manipulated)
• Dependent variable (outcome variable)

If you plan to use descriptive research questions, you have to deal with a number of dependent variables. However, where you plan to create comparative or relationship research questions, you will deal with both dependent and independent variables.

3. Select the Suitable Structure

The next step is determining the structure of the research question. It involves:

• Identifying the components of the question. It involves the type of dependent or independent variable and a group of interest (the group from which the researcher tries to conclude the population).
• The number of different components used. Like, as to how many variables and groups are being examined.
• Order in which these are presented. For example, the independent variable before the dependent variable or vice versa.

4. Draft the Complete Research Question

The last step involves identifying the problem or issue that you are trying to address in the form of complete quantitative survey questions . Also, make sure to build an exhaustive list of response options to make sure your respondents select the correct response. If you miss adding important answer options, then the ones chosen by respondents may not be entirely true.

Want to create a quantitative research survey hassle-free? Explore our library of 1,000,000+ readymade questions.

Types of Quantitative Research Questions With Examples

Quantitative research questions are generally used to answer the “who” and “what” of the research topic. For quantitative research to be effective, it is crucial that the respondents are able to answer your questions concisely and precisely. With that in mind, let’s look in greater detail at the three types of formats you can use when preparing quantitative market research questions.

1. Descriptive 

Descriptive research questions are used to collect participants’ opinions about the variable that you want to quantify. It is the most effortless way to measure the particular variable (single or multiple variables) you are interested in on a large scale. Usually, descriptive research questions begin with “ how much,” “how often,” “what percentage,” “what proportion,” etc.

Examples of descriptive research questions include:

2. Comparative

Comparative research questions help you identify the difference between two or more groups based on one or more variables. In general, a comparative research question is used to quantify one variable; however, you can use two or more variables depending on your market research objectives.

Comparative research questions examples include:

3. Relationship-based

Relationship research questions are used to identify trends, causal relationships, or associations between two or more variables. It is not vital to distinguish between causal relationships, trends, or associations while using these types of questions. These questions begin with “What is the relationship” between independent and dependent variables, amongst or between two or more groups.

Relationship-based quantitative questions examples include:

Ready to Write Your Quantitative Research Questions?

So, there you have it. It was all about quantitative research question types and their examples. By now, you must have figured out a way to write quantitative research questions for your survey to collect actionable customer feedback.

Now, the only thing you need is a good survey maker tool , like ProProfs Survey Maker , that will glide your process of designing and conducting your surveys . You also get access to various survey question types, both qualitative and quantitative, that you can add to any kind of survey along with professionally-designed survey templates .

About the author

Emma David is a seasoned market research professional with 8+ years of experience. Having kick-started her journey in research, she has developed rich expertise in employee engagement, survey creation and administration, and data management. Emma believes in the power of data to shape business performance positively. She continues to help brands and businesses make strategic decisions and improve their market standing through her understanding of research methodologies.

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Writing Survey Questions

Perhaps the most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the public. Accurate random sampling will be wasted if the information gathered is built on a shaky foundation of ambiguous or biased questions. Creating good measures involves both writing good questions and organizing them to form the questionnaire.

Questionnaire design is a multistage process that requires attention to many details at once. Designing the questionnaire is complicated because surveys can ask about topics in varying degrees of detail, questions can be asked in different ways, and questions asked earlier in a survey may influence how people respond to later questions. Researchers are also often interested in measuring change over time and therefore must be attentive to how opinions or behaviors have been measured in prior surveys.

Surveyors may conduct pilot tests or focus groups in the early stages of questionnaire development in order to better understand how people think about an issue or comprehend a question. Pretesting a survey is an essential step in the questionnaire design process to evaluate how people respond to the overall questionnaire and specific questions, especially when questions are being introduced for the first time.

For many years, surveyors approached questionnaire design as an art, but substantial research over the past forty years has demonstrated that there is a lot of science involved in crafting a good survey questionnaire. Here, we discuss the pitfalls and best practices of designing questionnaires.

Question development

There are several steps involved in developing a survey questionnaire. The first is identifying what topics will be covered in the survey. For Pew Research Center surveys, this involves thinking about what is happening in our nation and the world and what will be relevant to the public, policymakers and the media. We also track opinion on a variety of issues over time so we often ensure that we update these trends on a regular basis to better understand whether people’s opinions are changing.

At Pew Research Center, questionnaire development is a collaborative and iterative process where staff meet to discuss drafts of the questionnaire several times over the course of its development. We frequently test new survey questions ahead of time through qualitative research methods such as  focus groups , cognitive interviews, pretesting (often using an  online, opt-in sample ), or a combination of these approaches. Researchers use insights from this testing to refine questions before they are asked in a production survey, such as on the ATP.

Measuring change over time

Many surveyors want to track changes over time in people’s attitudes, opinions and behaviors. To measure change, questions are asked at two or more points in time. A cross-sectional design surveys different people in the same population at multiple points in time. A panel, such as the ATP, surveys the same people over time. However, it is common for the set of people in survey panels to change over time as new panelists are added and some prior panelists drop out. Many of the questions in Pew Research Center surveys have been asked in prior polls. Asking the same questions at different points in time allows us to report on changes in the overall views of the general public (or a subset of the public, such as registered voters, men or Black Americans), or what we call “trending the data”.

When measuring change over time, it is important to use the same question wording and to be sensitive to where the question is asked in the questionnaire to maintain a similar context as when the question was asked previously (see  question wording  and  question order  for further information). All of our survey reports include a topline questionnaire that provides the exact question wording and sequencing, along with results from the current survey and previous surveys in which we asked the question.

The Center’s transition from conducting U.S. surveys by live telephone interviewing to an online panel (around 2014 to 2020) complicated some opinion trends, but not others. Opinion trends that ask about sensitive topics (e.g., personal finances or attending religious services ) or that elicited volunteered answers (e.g., “neither” or “don’t know”) over the phone tended to show larger differences than other trends when shifting from phone polls to the online ATP. The Center adopted several strategies for coping with changes to data trends that may be related to this change in methodology. If there is evidence suggesting that a change in a trend stems from switching from phone to online measurement, Center reports flag that possibility for readers to try to head off confusion or erroneous conclusions.

Open- and closed-ended questions

One of the most significant decisions that can affect how people answer questions is whether the question is posed as an open-ended question, where respondents provide a response in their own words, or a closed-ended question, where they are asked to choose from a list of answer choices.

For example, in a poll conducted after the 2008 presidential election, people responded very differently to two versions of the question: “What one issue mattered most to you in deciding how you voted for president?” One was closed-ended and the other open-ended. In the closed-ended version, respondents were provided five options and could volunteer an option not on the list.

When explicitly offered the economy as a response, more than half of respondents (58%) chose this answer; only 35% of those who responded to the open-ended version volunteered the economy. Moreover, among those asked the closed-ended version, fewer than one-in-ten (8%) provided a response other than the five they were read. By contrast, fully 43% of those asked the open-ended version provided a response not listed in the closed-ended version of the question. All of the other issues were chosen at least slightly more often when explicitly offered in the closed-ended version than in the open-ended version. (Also see  “High Marks for the Campaign, a High Bar for Obama”  for more information.)

Researchers will sometimes conduct a pilot study using open-ended questions to discover which answers are most common. They will then develop closed-ended questions based off that pilot study that include the most common responses as answer choices. In this way, the questions may better reflect what the public is thinking, how they view a particular issue, or bring certain issues to light that the researchers may not have been aware of.

When asking closed-ended questions, the choice of options provided, how each option is described, the number of response options offered, and the order in which options are read can all influence how people respond. One example of the impact of how categories are defined can be found in a Pew Research Center poll conducted in January 2002. When half of the sample was asked whether it was “more important for President Bush to focus on domestic policy or foreign policy,” 52% chose domestic policy while only 34% said foreign policy. When the category “foreign policy” was narrowed to a specific aspect – “the war on terrorism” – far more people chose it; only 33% chose domestic policy while 52% chose the war on terrorism.

In most circumstances, the number of answer choices should be kept to a relatively small number – just four or perhaps five at most – especially in telephone surveys. Psychological research indicates that people have a hard time keeping more than this number of choices in mind at one time. When the question is asking about an objective fact and/or demographics, such as the religious affiliation of the respondent, more categories can be used. In fact, they are encouraged to ensure inclusivity. For example, Pew Research Center’s standard religion questions include more than 12 different categories, beginning with the most common affiliations (Protestant and Catholic). Most respondents have no trouble with this question because they can expect to see their religious group within that list in a self-administered survey.

In addition to the number and choice of response options offered, the order of answer categories can influence how people respond to closed-ended questions. Research suggests that in telephone surveys respondents more frequently choose items heard later in a list (a “recency effect”), and in self-administered surveys, they tend to choose items at the top of the list (a “primacy” effect).

Because of concerns about the effects of category order on responses to closed-ended questions, many sets of response options in Pew Research Center’s surveys are programmed to be randomized to ensure that the options are not asked in the same order for each respondent. Rotating or randomizing means that questions or items in a list are not asked in the same order to each respondent. Answers to questions are sometimes affected by questions that precede them. By presenting questions in a different order to each respondent, we ensure that each question gets asked in the same context as every other question the same number of times (e.g., first, last or any position in between). This does not eliminate the potential impact of previous questions on the current question, but it does ensure that this bias is spread randomly across all of the questions or items in the list. For instance, in the example discussed above about what issue mattered most in people’s vote, the order of the five issues in the closed-ended version of the question was randomized so that no one issue appeared early or late in the list for all respondents. Randomization of response items does not eliminate order effects, but it does ensure that this type of bias is spread randomly.

Questions with ordinal response categories – those with an underlying order (e.g., excellent, good, only fair, poor OR very favorable, mostly favorable, mostly unfavorable, very unfavorable) – are generally not randomized because the order of the categories conveys important information to help respondents answer the question. Generally, these types of scales should be presented in order so respondents can easily place their responses along the continuum, but the order can be reversed for some respondents. For example, in one of Pew Research Center’s questions about abortion, half of the sample is asked whether abortion should be “legal in all cases, legal in most cases, illegal in most cases, illegal in all cases,” while the other half of the sample is asked the same question with the response categories read in reverse order, starting with “illegal in all cases.” Again, reversing the order does not eliminate the recency effect but distributes it randomly across the population.

Question wording

The choice of words and phrases in a question is critical in expressing the meaning and intent of the question to the respondent and ensuring that all respondents interpret the question the same way. Even small wording differences can substantially affect the answers people provide.

[View more Methods 101 Videos ]

An example of a wording difference that had a significant impact on responses comes from a January 2003 Pew Research Center survey. When people were asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule,” 68% said they favored military action while 25% said they opposed military action. However, when asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule  even if it meant that U.S. forces might suffer thousands of casualties, ” responses were dramatically different; only 43% said they favored military action, while 48% said they opposed it. The introduction of U.S. casualties altered the context of the question and influenced whether people favored or opposed military action in Iraq.

There has been a substantial amount of research to gauge the impact of different ways of asking questions and how to minimize differences in the way respondents interpret what is being asked. The issues related to question wording are more numerous than can be treated adequately in this short space, but below are a few of the important things to consider:

First, it is important to ask questions that are clear and specific and that each respondent will be able to answer. If a question is open-ended, it should be evident to respondents that they can answer in their own words and what type of response they should provide (an issue or problem, a month, number of days, etc.). Closed-ended questions should include all reasonable responses (i.e., the list of options is exhaustive) and the response categories should not overlap (i.e., response options should be mutually exclusive). Further, it is important to discern when it is best to use forced-choice close-ended questions (often denoted with a radio button in online surveys) versus “select-all-that-apply” lists (or check-all boxes). A 2019 Center study found that forced-choice questions tend to yield more accurate responses, especially for sensitive questions.  Based on that research, the Center generally avoids using select-all-that-apply questions.

It is also important to ask only one question at a time. Questions that ask respondents to evaluate more than one concept (known as double-barreled questions) – such as “How much confidence do you have in President Obama to handle domestic and foreign policy?” – are difficult for respondents to answer and often lead to responses that are difficult to interpret. In this example, it would be more effective to ask two separate questions, one about domestic policy and another about foreign policy.

In general, questions that use simple and concrete language are more easily understood by respondents. It is especially important to consider the education level of the survey population when thinking about how easy it will be for respondents to interpret and answer a question. Double negatives (e.g., do you favor or oppose  not  allowing gays and lesbians to legally marry) or unfamiliar abbreviations or jargon (e.g., ANWR instead of Arctic National Wildlife Refuge) can result in respondent confusion and should be avoided.

Similarly, it is important to consider whether certain words may be viewed as biased or potentially offensive to some respondents, as well as the emotional reaction that some words may provoke. For example, in a 2005 Pew Research Center survey, 51% of respondents said they favored “making it legal for doctors to give terminally ill patients the means to end their lives,” but only 44% said they favored “making it legal for doctors to assist terminally ill patients in committing suicide.” Although both versions of the question are asking about the same thing, the reaction of respondents was different. In another example, respondents have reacted differently to questions using the word “welfare” as opposed to the more generic “assistance to the poor.” Several experiments have shown that there is much greater public support for expanding “assistance to the poor” than for expanding “welfare.”

We often write two versions of a question and ask half of the survey sample one version of the question and the other half the second version. Thus, we say we have two  forms  of the questionnaire. Respondents are assigned randomly to receive either form, so we can assume that the two groups of respondents are essentially identical. On questions where two versions are used, significant differences in the answers between the two forms tell us that the difference is a result of the way we worded the two versions.

One of the most common formats used in survey questions is the “agree-disagree” format. In this type of question, respondents are asked whether they agree or disagree with a particular statement. Research has shown that, compared with the better educated and better informed, less educated and less informed respondents have a greater tendency to agree with such statements. This is sometimes called an “acquiescence bias” (since some kinds of respondents are more likely to acquiesce to the assertion than are others). This behavior is even more pronounced when there’s an interviewer present, rather than when the survey is self-administered. A better practice is to offer respondents a choice between alternative statements. A Pew Research Center experiment with one of its routinely asked values questions illustrates the difference that question format can make. Not only does the forced choice format yield a very different result overall from the agree-disagree format, but the pattern of answers between respondents with more or less formal education also tends to be very different.

One other challenge in developing questionnaires is what is called “social desirability bias.” People have a natural tendency to want to be accepted and liked, and this may lead people to provide inaccurate answers to questions that deal with sensitive subjects. Research has shown that respondents understate alcohol and drug use, tax evasion and racial bias. They also may overstate church attendance, charitable contributions and the likelihood that they will vote in an election. Researchers attempt to account for this potential bias in crafting questions about these topics. For instance, when Pew Research Center surveys ask about past voting behavior, it is important to note that circumstances may have prevented the respondent from voting: “In the 2012 presidential election between Barack Obama and Mitt Romney, did things come up that kept you from voting, or did you happen to vote?” The choice of response options can also make it easier for people to be honest. For example, a question about church attendance might include three of six response options that indicate infrequent attendance. Research has also shown that social desirability bias can be greater when an interviewer is present (e.g., telephone and face-to-face surveys) than when respondents complete the survey themselves (e.g., paper and web surveys).

Lastly, because slight modifications in question wording can affect responses, identical question wording should be used when the intention is to compare results to those from earlier surveys. Similarly, because question wording and responses can vary based on the mode used to survey respondents, researchers should carefully evaluate the likely effects on trend measurements if a different survey mode will be used to assess change in opinion over time.

Question order

Once the survey questions are developed, particular attention should be paid to how they are ordered in the questionnaire. Surveyors must be attentive to how questions early in a questionnaire may have unintended effects on how respondents answer subsequent questions. Researchers have demonstrated that the order in which questions are asked can influence how people respond; earlier questions can unintentionally provide context for the questions that follow (these effects are called “order effects”).

One kind of order effect can be seen in responses to open-ended questions. Pew Research Center surveys generally ask open-ended questions about national problems, opinions about leaders and similar topics near the beginning of the questionnaire. If closed-ended questions that relate to the topic are placed before the open-ended question, respondents are much more likely to mention concepts or considerations raised in those earlier questions when responding to the open-ended question.

For closed-ended opinion questions, there are two main types of order effects: contrast effects ( where the order results in greater differences in responses), and assimilation effects (where responses are more similar as a result of their order).

An example of a contrast effect can be seen in a Pew Research Center poll conducted in October 2003, a dozen years before same-sex marriage was legalized in the U.S. That poll found that people were more likely to favor allowing gays and lesbians to enter into legal agreements that give them the same rights as married couples when this question was asked after one about whether they favored or opposed allowing gays and lesbians to marry (45% favored legal agreements when asked after the marriage question, but 37% favored legal agreements without the immediate preceding context of a question about same-sex marriage). Responses to the question about same-sex marriage, meanwhile, were not significantly affected by its placement before or after the legal agreements question.

Another experiment embedded in a December 2008 Pew Research Center poll also resulted in a contrast effect. When people were asked “All in all, are you satisfied or dissatisfied with the way things are going in this country today?” immediately after having been asked “Do you approve or disapprove of the way George W. Bush is handling his job as president?”; 88% said they were dissatisfied, compared with only 78% without the context of the prior question.

Responses to presidential approval remained relatively unchanged whether national satisfaction was asked before or after it. A similar finding occurred in December 2004 when both satisfaction and presidential approval were much higher (57% were dissatisfied when Bush approval was asked first vs. 51% when general satisfaction was asked first).

Several studies also have shown that asking a more specific question before a more general question (e.g., asking about happiness with one’s marriage before asking about one’s overall happiness) can result in a contrast effect. Although some exceptions have been found, people tend to avoid redundancy by excluding the more specific question from the general rating.

Assimilation effects occur when responses to two questions are more consistent or closer together because of their placement in the questionnaire. We found an example of an assimilation effect in a Pew Research Center poll conducted in November 2008 when we asked whether Republican leaders should work with Obama or stand up to him on important issues and whether Democratic leaders should work with Republican leaders or stand up to them on important issues. People were more likely to say that Republican leaders should work with Obama when the question was preceded by the one asking what Democratic leaders should do in working with Republican leaders (81% vs. 66%). However, when people were first asked about Republican leaders working with Obama, fewer said that Democratic leaders should work with Republican leaders (71% vs. 82%).

The order questions are asked is of particular importance when tracking trends over time. As a result, care should be taken to ensure that the context is similar each time a question is asked. Modifying the context of the question could call into question any observed changes over time (see  measuring change over time  for more information).

A questionnaire, like a conversation, should be grouped by topic and unfold in a logical order. It is often helpful to begin the survey with simple questions that respondents will find interesting and engaging. Throughout the survey, an effort should be made to keep the survey interesting and not overburden respondents with several difficult questions right after one another. Demographic questions such as income, education or age should not be asked near the beginning of a survey unless they are needed to determine eligibility for the survey or for routing respondents through particular sections of the questionnaire. Even then, it is best to precede such items with more interesting and engaging questions. One virtue of survey panels like the ATP is that demographic questions usually only need to be asked once a year, not in each survey.

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How to structure quantitative research questions

There is no "one best way" to structure a quantitative research question. However, to create a well-structured quantitative research question, we recommend an approach that is based on four steps : (1) Choosing the type of quantitative research question you are trying to create (i.e., descriptive, comparative or relationship-based); (2) Identifying the different types of variables you are trying to measure, manipulate and/or control, as well as any groups you may be interested in; (3) Selecting the appropriate structure for the chosen type of quantitative research question, based on the variables and/or groups involved; and (4) Writing out the problem or issues you are trying to address in the form of a complete research question. In this article, we discuss each of these four steps , as well as providing examples for the three types of quantitative research question you may want to create: descriptive , comparative and relationship-based research questions .

• STEP ONE: Choose the type of quantitative research question (i.e., descriptive, comparative or relationship) you are trying to create
• STEP TWO: Identify the different types of variable you are trying to measure, manipulate and/or control, as well as any groups you may be interested in
• STEP THREE: Select the appropriate structure for the chosen type of quantitative research question, based on the variables and/or groups involved
• STEP FOUR: Write out the problem or issues you are trying to address in the form of a complete research question

STEP ONE Choose the type of quantitative research question (i.e., descriptive, comparative or relationship) you are trying to create

The type of quantitative research question that you use in your dissertation (i.e., descriptive , comparative and/or relationship-based ) needs to be reflected in the way that you write out the research question; that is, the word choice and phrasing that you use when constructing a research question tells the reader whether it is a descriptive, comparative or relationship-based research question. Therefore, in order to know how to structure your quantitative research question, you need to start by selecting the type of quantitative research question you are trying to create: descriptive, comparative and/or relationship-based.

STEP TWO Identify the different types of variable you are trying to measure, manipulate and/or control, as well as any groups you may be interested in

Whether you are trying to create a descriptive, comparative or relationship-based research question, you will need to identify the different types of variable that you are trying to measure , manipulate and/or control . If you are unfamiliar with the different types of variable that may be part of your study, the article, Types of variable , should get you up to speed. It explains the two main types of variables: categorical variables (i.e., nominal , dichotomous and ordinal variables) and continuous variables (i.e., interval and ratio variables). It also explains the difference between independent and dependent variables , which you need to understand to create quantitative research questions.

To provide a brief explanation; a variable is not only something that you measure , but also something that you can manipulate and control for. In most undergraduate and master's level dissertations, you are only likely to measure and manipulate variables. You are unlikely to carry out research that requires you to control for variables, although some supervisors will expect this additional level of complexity. If you plan to only create descriptive research questions , you may simply have a number of dependent variables that you need to measure. However, where you plan to create comparative and/or relationship-based research questions , you will deal with both dependent and independent variables . An independent variable (sometimes called an experimental or predictor variable ) is a variable that is being manipulated in an experiment in order to observe the effect this has on a dependent variable (sometimes called an outcome variable ). For example, if we were interested in investigating the relationship between gender and attitudes towards music piracy amongst adolescents , the independent variable would be gender and the dependent variable attitudes towards music piracy . This example also highlights the need to identify the group(s) you are interested in. In this example, the group of interest are adolescents .

Once you identifying the different types of variable you are trying to measure, manipulate and/or control, as well as any groups you may be interested in, it is possible to start thinking about the way that the three types of quantitative research question can be structured . This is discussed next.

STEP THREE Select the appropriate structure for the chosen type of quantitative research question, based on the variables and/or groups involved

The structure of the three types of quantitative research question differs, reflecting the goals of the question, the types of variables, and the number of variables and groups involved. By structure , we mean the components of a research question (i.e., the types of variables, groups of interest), the number of these different components (i.e., how many variables and groups are being investigated), and the order that these should be presented (e.g., independent variables before dependent variables). The appropriate structure for each of these quantitative research questions is set out below:

Structure of descriptive research questions

• Structure of comparative research questions
• Structure of relationship-based research questions

There are six steps required to construct a descriptive research question: (1) choose your starting phrase; (2) identify and name the dependent variable; (3) identify the group(s) you are interested in; (4) decide whether dependent variable or group(s) should be included first, last or in two parts; (5) include any words that provide greater context to your question; and (6) write out the descriptive research question. Each of these steps is discussed in turn:

Choose your starting phrase

Identify and name the dependent variable

Identify the group(s) you are interested in

Decide whether the dependent variable or group(s) should be included first, last or in two parts

Include any words that provide greater context to your question

Write out the descriptive research question

FIRST Choose your starting phrase

You can start descriptive research questions with any of the following phrases:

How many? How often? How frequently? How much? What percentage? What proportion? To what extent? What is? What are?

Some of these starting phrases are highlighted in blue text in the examples below:

How many calories do American men and women consume per day?

How often do British university students use Facebook each week?

What are the most important factors that influence the career choices of Australian university students?

What proportion of British male and female university students use the top 5 social networks?

What percentage of American men and women exceed their daily calorific allowance?

SECOND Identify and name the dependent variable

All descriptive research questions have a dependent variable. You need to identify what this is. However, how the dependent variable is written out in a research question and what you call it are often two different things. In the examples below, we have illustrated the name of the dependent variable and highlighted how it would be written out in the blue text .

The first two examples highlight that while the name of the dependent variable is the same, namely daily calorific intake , the way that this dependent variable is written out differs in each case.

THIRD Identify the group(s) you are interested in

All descriptive research questions have at least one group , but can have multiple groups . You need to identify this group(s). In the examples below, we have identified the group(s) in the green text .

What are the most important factors that influence the career choices of Australian university students ?

The examples illustrate the difference between the use of a single group (e.g., British university students ) and multiple groups (e.g., American men and women ).

FOURTH Decide whether the dependent variable or group(s) should be included first, last or in two parts

Sometimes it makes more sense for the dependent variable to appear before the group(s) you are interested in, but sometimes it is the opposite way around. The following examples illustrate this, with the group(s) in green text and the dependent variable in blue text :

Group 1st; dependent variable 2nd:

How often do British university students use Facebook each week ?

Dependent variable 1st; group 2nd:

Sometimes, the dependent variable needs to be broken into two parts around the group(s) you are interested in so that the research question flows. Again, the group(s) are in green text and the dependent variable is in blue text :

How many calories do American men and women consume per day ?

Of course, you could choose to restructure the question above so that you do not have to split the dependent variable into two parts. For example:

How many calories are consumed per day by American men and women ?

When deciding whether the dependent variable or group(s) should be included first or last, and whether the dependent variable should be broken into two parts, the main thing you need to think about is flow : Does the question flow? Is it easy to read?

FIFTH Include any words that provide greater context to your question

Sometimes the name of the dependent variable provides all the explanation we need to know what we are trying to measure. Take the following examples:

In the first example, the dependent variable is daily calorific intake (i.e., calories consumed per day). Clearly, this descriptive research question is asking us to measure the number of calories American men and women consume per day. In the second example, the dependent variable is Facebook usage per week. Again, the name of this dependent variable makes it easy for us to understand that we are trying to measure the often (i.e., how frequently; e.g., 16 times per week) British university students use Facebook.

However, sometimes a descriptive research question is not simply interested in measuring the dependent variable in its entirety, but a particular component of the dependent variable. Take the following examples in red text :

In the first example, the research question is not simply interested in the daily calorific intake of American men and women, but what percentage of these American men and women exceeded their daily calorific allowance. So the dependent variable is still daily calorific intake, but the research question aims to understand a particular component of that dependent variable (i.e., the percentage of American men and women exceeding the recommend daily calorific allowance). In the second example, the research question is not only interested in what the factors influencing career choices are, but which of these factors are the most important.

Therefore, when you think about constructing your descriptive research question, make sure you have included any words that provide greater context to your question.

SIXTH Write out the descriptive research question

Once you have these details ? (1) the starting phrase, (2) the name of the dependent variable, (3) the name of the group(s) you are interested in, and (4) any potential joining words ? you can write out the descriptive research question in full. The example descriptive research questions discussed above are written out in full below:

In the section that follows, the structure of comparative research questions is discussed.

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• Quantitative research questions: Types, tips & examples

Defne Çobanoğlu

Deciding on your next survey’s goal gives you a starting point as to what kind of questions you will use on your survey. And if you want to do concrete market research, give a data summary to your supervisors, or make informed decisions based on the data you collect, you should use quantitative survey questions.

In this article, we have gathered more than 100 survey question examples about gender, marketing, stress, psychology, academic performance, social media, and mental health to get you started. You can add these questions to your next research survey, or you can use them to get inspiration to write many more. Let us get started!

• What is a quantitative research question?

The quantitative research question is a type of question where the person asking the question wants to obtain a numeric answer that will provide them with a tangible answer. It involves collecting objective, measurable data about a particular subject or topic, often through surveys, experiments, or other structured methods.

The definition of a quantitative research question

The data collected is typically numerical in nature, such as ratings, counts, measurements, or percentages . So, an answer to this type of question can be confidentially used when creating a quantitative analysis.

Quantitative vs. qualitative research questions

The main difference between quantitative and qualitative questions is what you want to achieve from the question and methods of data collection. Qualitative research focuses on exploring and understanding complex phenomena, experiences, and perspectives . And qualitative research questions aim to gather detailed descriptions and subjective experiences to gain insights.

On the other hand, quantitative research aims to answer questions that involve measuring and quantifying variables, examining relationships, and making statistical deductions. It mainly relies on structured data collection methods, such as surveys, experiments, observations, and existing datasets, in order to collect numerical data .

• How to write a quantitative research question

If you want to obtain concrete data on a research topic, you should use quantitative research questions. They give you numerical answers such as ratings, measurements, counts, or percentages. That makes it easier to conclude a quantitative analysis. Therefore, use questions that will give you answers like; “three times a week”, “about 11”, “20% of the students”, etc. Here are some question starters to have in mind to give you quantitative research questions ideas:

• How frequently?
• What percentage?
• To what extent?
• What proportion?
• On a scale of…

Here are some simple examples:

• How often do you go to the gym in a week?
• How much do you spend on groceries?
• How many phone calls do you make a day?
• Types of quantitative questions

When you try to get numerical answers, the only option is not the multiple-choice one. You can use different types of quantitative research questions to make the form more interesting, visually appealing, and detailed if you use a smart survey creator, such as forms.app, you can make use of its multiple smart form fields to build your form. Let us see what are some good options to use on your next survey.

Star rating:

It is a good way to ask people their opinions, and the survey takers can rate criteria based on different categories. Each star represents an equivalent numeric value, and they typically range from 1 to 5. Even if they are clicking on stars, you get numeric data in the end.

A star rating question example

Opinion scale:

It is basically the same thing with the stars but instead, the survey takers rate criteria as numbers from 1-5 or 1-10. It is better to keep in mind the best way for this is using a 1-5 scale, with 5 being the best and 1 being the worst rating.

An opinion scale question example

Picture selection:

Having people choose their opinions in a picture selection form is a good way to go. It is a good option to use when you are creating a survey for market research and such.

A picture selection question example

Multiple-choice:

When you ask people a question such as; “what are the reasons that negatively affect your mental health?” it is better to let them choose multiple reasons rather than a single one. You would not want to limit the target audience by making them choose only one thing on the list.

A multiple-choice question example

Selection matrix:

In this type of question, you can make multiple sentences, categories, and statements, and survey takers can answer them accordingly. They allow you to get the answers as one question rather than setting up multiple questions.

A selection matrix example

• 100+ Quantitative research questions to ask in your research surveys

In your next survey, you can use any of the questions below, or you can create your own. If you use smart questions focused on a subject or aspect, it will make it easier for you to make an informed analysis at the end. Now, let us start with the first one:

Quantitative research questions about gender

A question example about quantitative research about gender

Quantitative research questions about gender aim to gather numerical data to quantify and analyze gender-related patterns, differences, and associations. They focus on exploring gender-related issues and investigating gender influences on several aspects of life.

1 - What is the difference in average earnings between male and female employees in a specific industry?

2 - How does gender affect academic achievement in STEM subjects among high school students?

3 - What is the percentage of women in leadership positions in Fortune 500 companies?

4 - What is the impact of gender on access to and utilization of health services?

5 - What is the percentage of female students speaking in a classroom as opposed to male students?

6 - How does gender influence consumer preferences and purchasing behavior in the fashion industry?

7 - What are the gender differences in response to specific marketing strategies for a particular product?

8 - What is the correlation between gender and mental health outcomes in a specific population?

9 - How does gender influence the perception of work-life balance among working professionals?

10 - How often do you feel discriminated against in a work environment because of your gender?

11 - What is the effect of gender on smoking at the ages 14-18?

Quantitative research questions about stress

A question example about quantitative research about stress

Research questions about stress aim to investigate different aspects of stress, its causes, and its consequences. Researchers can measure stress levels and examine the relationships between stress and other variables. Also, they can analyze patterns and trends associated with stress after collecting appropriate data.

12 - On a scale of 1 to 10, how often do you feel stressed?

13 - What is the prevalence of stress among college students?

14 - How does stress impact academic achievement among high school students?

15 - How does mindfulness meditation training impact stress levels in university students?

16 - What are the primary sources of work-related stress among employees?

17 - What is the relationship between stress levels and job performance among healthcare professionals?

18 - Who are the people in your life that cause you the most stress?

19 - In the last month, how often have you felt that you were unable to control important things in your life?

20 - How does workplace stress influence employee turnover rates in a specific organization?

21 - What is the correlation between stress levels and physical health in young people?

22 - What are the demographic factors (such as age, gender, or income) associated with higher levels of stress?

23 - What is the impact of stress on sleep quality and duration among adults?

24 - What are the stress levels experienced by parents of children with special needs compared to parents of typically developing children?

25 - What is the effectiveness of stress management interventions in reducing stress levels among individuals with chronic illnesses?

26 - What is the impact of daily meditation helping stress levels?

27 - What are the factors contributing to job-related stress among healthcare professionals in a specific specialty?

Quantitative research questions in Psychology

A question example about quantitative research in psychology

Quantitative research questions in psychology cover a range of psychological topics, including mental health, personality, behavior, and social dynamics. The aim of these questions is to collect quantitative data to examine relationships, assess the effectiveness of interventions, and identify factors associated with psychological events.

28 - What is the relationship between self-esteem and academic performance in high school students?

29 - How does exposure to violent media affect aggressive behavior in children?

30 - What is the prevalence of depression among college students?

31 - How is parental attachment style associated with the development of anxiety disorders in children?

32 - How many times a month should one use professional therapy?

33 - What are the factors influencing job satisfaction among employees in a specific industry?

34 - What are the predictors of job performance among healthcare professionals?

35 - Generally, at what age do children start getting psychological help?

36 - What is the effect of cognitive-behavioral therapy on reducing symptoms of post-traumatic stress disorder?

37 - How does the classroom environment affect academic motivation and achievement in elementary school students?

38 - What is the effectiveness of a cognitive training program in improving memory function in older adults?

39 - How do exercise frequency and intensity impact symptoms of anxiety and depression in individuals with diagnosed mental health conditions?

40 - What is the correlation between sleep duration and academic performance in college students?

41 - How does parental divorce during childhood impact the development of attachment styles in adulthood?

42 - What is the relationship between self-esteem and job satisfaction among working professionals?

43 - What are the predictors of eating disorder symptoms in adolescent females?

44 - At what age the teenage girls prone to depression?

45 - What is the correlation between young adults and suicide rates?

46 - What is the effect of a specific cognitive training program on improving cognitive functioning in elders?

47 - How does the presence of social support networks impact resilience levels in individuals who have experienced traumatic events?

48 - What are the effects of a specific therapeutic intervention on reducing symptoms of anxiety in individuals with a generalized anxiety disorder?

49 - What is the correlation between social media use and symptoms of depression in young adults?

50 - How does mindfulness meditation training influence stress levels in individuals with high-stress occupations?

51 - How does exposure to violent video games affect aggressive behavior in adolescents?

Quantitative research questions about mental health

A question example about quantitative research about mental health

Quantitative research questions about mental health focus on various aspects of mental health, including the prevalence of disorders, risk factors, treatment interventions, and the impact of lifestyle factors. 

52 - How does the frequency of social media use relate to levels of depressive symptoms in adolescents?

53 - What is the correlation between sleep quality and mental health outcomes in adults with diagnosed mental health conditions?

54 - What is the percentage of people diagnosed with anxiety disorder that has a college education?

55 - What kind of activities helps with your mental health?

56 - How many times a week do you spare time for your mental well-being?

57 - What is the effect of a specific psychotherapy intervention on reducing symptoms of depression?

58 - What are the factors determining treatment adherence in patients with schizophrenia?

59 - How do exercise frequency and intensity relate to anxiety levels?

60 - What is the relationship between social support and endurance in individuals with a history of trauma?

61 - How does stigma surrounding mental illness influence help-seeking behavior among college students?

62 - What is the prevalence of anxiety disorders among college students?

Quantitative research questions about social media

A question example about quantitative research about social media

Quantitative research questions about social media try to explore various aspects of social media, including its impact on psychological well-being, behavior, relationships, and society. They aim to collect quantitative data to analyze relations, examine effects, and measure the influence of social media.

63 - How many times a day do you check your social media accounts?

64 - How much time do you spend on social media every day?

65 - How many social media accounts do you own?

66 - What is the correlation between social media engagement and academic performance in high school students?

67 - What are the most used social media accounts among teenagers?

68 - What is the psychological effect of social media accounts on young people?

69 - What is the relationship between social media use and self-esteem among adolescents?

70 - How does the frequency of social media use relate to levels of loneliness in young adults?

71 - How does exposure to idealized body images on social media impact body dissatisfaction in women?

72 - What are the predictors of problematic social media use among college students?

73 - How does social media use influence political attitudes and behaviors among young adults?

74 - What is the effect of social media advertising on consumer purchasing behavior and brand loyalty?

75 - What is the association between cyberbullying on social media and mental health outcomes among teenagers?

76 - How does social media use affect sleep quality and duration in adults?

77 - How does social media use impact interpersonal relationships and social support among individuals in long-distance relationships?

Quantitative research questions about academic performance

A question example about quantitative research about academic performance

Quantitative research questions about academic performance focus on academic performance, the predictors, and the elements affecting it negatively and positively. They aim to collect quantitative data to figure out the relation between academic performance and the environment of the students and make informed decisions.

78 - What is the correlation between student attendance rates and academic achievement in a specific grade level?

79 - How does parental involvement in education relate to students' academic performance?

80 - What is the impact of classroom size on student academic outcomes?

81 - What are the predictors of academic success among undergraduate students in a specific major?

82 - How many times were you absent during the last semester?

83 - What is the correlation between student engagement in extracurricular activities and their academic performance?

84 - What is the effect of peer tutoring programs on student grades and test scores?

85 - How do student motivation and self-efficacy influence academic achievement in a specific academic setting?

86 - What is the relationship between study habits and academic performance among high school students?

87 - How does the implementation of a specific teaching methodology or instructional approach impact student achievement in a particular subject?

Quantitative research questions about marketing

A question example about quantitative research about marketing

Quantitative research questions about marketing explore various aspects of marketing, including advertising effectiveness, consumer behavior, branding, pricing, and customer satisfaction. They involve collecting quantitative data to analyze relationships and assess the impact of marketing strategies. 

88 - What is the correlation between advertising expenditure and sales revenue for a specific product?

89 - As a consumer, how often do you make purchasing decisions based on marketing exposure?

90 - What are the top 5 brands that stand out to you because of ads of their quality?

91 - How does brand loyalty relate to customer satisfaction and repeat purchase behavior?

92 - What is the impact of pricing strategies on consumer purchase intentions and price sensitivity?

93 - When making a purchase, how important is the packaging of the product to you?

94 - What is the effectiveness of different marketing channels (e.g., social media, television, email marketing) in reaching and engaging the target audience?

95 - How does product packaging design influence consumer perception and purchase decisions?

96 - What are the key factors influencing customer loyalty in the retail industry?

97 - What is the relationship between online customer reviews and purchase decisions in e-commerce?

98 - How do brand reputation and perception affect consumer trust and willingness to recommend a product or service?

99 - What are the channels you visit to ensure the quality of the product you will purchase?

100 - How does the personalization of marketing messages impact customer engagement and response rates?

101 - What is the effect of promotional offers (e.g., discounts, coupons) on consumer purchase behavior?

102 - What is the effect of ad placement on popular social media accounts on teenagers?

• Tips for creating quantitative research questions

When you want to create your survey, you should be professional and collect the data systematically. That will help you have clear results. In order to achieve this: 

• Use clear and unambiguous language
• Avoid leading or biased questions 
• Use different question types 
• Keep the length of your survey at an appropriate level

After you create your survey in a systematic manner and use a competitive analysis framework to record your findings, you can achieve the concrete results you want. Also, always remember to obtain the necessary ethical approvals and informed consent required for your research study.

• How to create a quantitative research survey

When you are creating your next survey, you can go old-fashion and write everything down on a piece of paper and try to get people to fill them out. However, there is a much easier option thanks to online survey tools. And a great survey maker you can use is forms.app. It has over 1000 ready-to-use templates, and each of them is as useful. Now, let us go through the steps to creating a quantitative survey using forms.app:

1 - Go to forms.app and log in to your account (or create one for free).

2 - Go to the dropdown menu and click on the templates option .

3 - Choose one of the survey templates and click on the “use template” button and customize it as much as you want by adding question fields and changing the visuals as much as you want.

4 - Or, you can decide on starting from scratch and build everything from the start in a matter of minutes.

5 - Save your changes, and by clicking on the “eye” icon on the upper left side of the page, see the final result.

6 - Copy the unique link and share it with your audience. If you want, you can also embed the survey on the page of your choosing.

• Key points to take away

Creating a simple survey to collect numerical values to make informed and supported plans is very easy. It can be done with a simple and effective form creator, such as forms.app. It has many functional form fields and is also completely adjustable.

You can easily create your own research survey with the questions we have gathered for you. It should be mentioned that you should keep in mind to have a structured plan to go with. Because only then can you analyze your results effectively and repeat the research if it is needed.

Defne is a content writer at forms.app. She is also a translator specializing in literary translation. Defne loves reading, writing, and translating professionally and as a hobby. Her expertise lies in survey research, research methodologies, content writing, and translation.

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Sep 1, 2022

The best user research questions and how to ask them

To get the right insights, you need to ask the right questions. Here’s the best user research questions to start gathering feedback right away.

Lorelei Bowman

Content Editor at Maze

Knowing the right user research questions to ask is vital to the success of your UX research. Research is an invaluable source of input for product development, but before you can get started, you need to make sure the questions lined up will get the insights you need, without influencing the data.

Think of this article as your guide to all-things user research questions: what to ask, how to ask it, and how to create your own questions. Let’s get started.

What kind of user research questions are there?

The kind of questions you ask will depend on your research goals—are you looking to gather user feedback, or find out if a particular feature is (or would be) useful? Are you trying to discover what problems bother your user, or whether they’d prefer one solution over another?

Before planning your questions and diving head-first into research, look at your overarching research plan and objectives. Consider this on a project-by-project basis, as your end questions will be drastically different depending on where you are in the product development process . For instance, if you’re in early product discovery , you may want to discover user intent and pain points. Or, if you’re working on a high-fidelity prototype, you might want to see how users interact with the prototype, and how easy it is to use. Asking questions at different stages of your process is a big part of continuous product discovery and ensuring your product remains the best it can be.

💡 If you’re looking to understand the types of question format used in surveys or user questionnaires, take a look at our guide on how to write survey questions .

User research questions can be categorized in many ways—by objective, research scenario, or point in the product journey, to name a few. Since different questions may apply in multiple situations, we’re going to consider questions organized by their research focus.

Questions for user research can typically be categorized three ways:

• Questions about the problem e.g., what are users’ pain points, what task are they trying to complete, what solution do they want
• Questions about the people e.g., who they are, how they use products, what they want to accomplish, how likely are they to use the product
• Questions about the product e.g., how users’ feel about content or design, can they navigate the product, how usable is it, what features do they like or dislike

Now we know what kinds of questions there are, let’s delve into the value of pre-made questions, and some examples of each question type.

Using pre-made user research questions

To elevate your research, you can opt to use pre-existing questions from a question bank. As with all research tools , there are many benefits to this, including saving time and effort, and having many questions to choose from. Using a question bank also ensures questions are always carefully considered, easily understandable for users, and unbiased.

Meet the Maze question bank

An open-source question repository for product teams, our question bank is aimed at helping you ask the best user research questions to gather insight that will help build truly user-centered products.

A good question bank will be multifunctional, with questions you can use when running moderated to unmoderated testing, conducting generative or evaluative research, or gathering quantitative or qualitative data. So you can have one place to go for all your user research question needs.

🚀 Boost your research with Maze templates

If you’re a Maze user, you can also use the question bank as a handy companion to fuel your team’s research with Maze—check out the templates column and question block suggestions for maximum efficiency when building mazes.

Ultimately, a pre-made question bank can help save you a lot of time, and allow you to focus on conducting the research and processing analysis.

If you’d like to create your own questions, let’s get into the different user research question types, what questions they include, and how to ask them.

Click on the image to head straight to the question bank 👆

Questions about the problem

To support product and design decisions behind any solution, you need to be familiar with the problem you (and your users) are trying to solve. Whether you’re starting product discovery and want to understand user pain points, or you’re testing new features and want to gauge which will be most popular— you can’t begin working on a solution until you’ve honed in on what the problem is.

What’s bothering your users? How can you make their lives easier? What’s their key challenge, and what are they trying to achieve that’s being blocked by that problem?

Only once you’ve narrowed down a key problem statement can you translate solutions into the user experience, and identify opportunities for product development .

Questions focusing on the problem you’re trying to solve are key in product discovery stages and concept validation . The reason for using a particular product or feature may vary between users—consider Instagram’s Explore tab: it could be used to find friends, connect with like-minded people, or find inspiration.

Questions that can help hone into the problem at hand include:

• What problems do you face when you do [task]?
• Please complete this sentence: "The most frustrating part of trying to complete [task] is…”
• What is your main goal when trying to complete [task]?
• What is your personal measure of success when it comes to [goal]?
• How are you currently solving [problem]?
• Describe your ideal solution to [problem]

Questions about the people

Understanding the problem you’re trying to solve goes hand in hand with the people who are facing this problem—who they are and how they think, how they adopt and use products, their wants, needs and dislikes.

Put simply, there’s no point building a product if it solves the problem your user is having—but not in the way they wanted it to.

To really understand how your users think, and the way they approach a product, you need to understand their mental models. Broadly speaking, a mental model determines how someone forms their thinking process—it might impact the way they approach a problem, the kind of solution they’d like, and how they expect certain features to work.

UX research methods like card sorting are a good way to understand people’s mental models, but you can also gather this insight through thoughtful user interviews or research questions.

User-focused questions also cover understanding attitudes towards product adoption, use habits and circumstances, pricing models, and demographics.

Some example questions you could ask to learn more about your target users include:

• Are there any products that you prefer to use to do [task]?
• What does your job look like in your company?
• How do you prefer to be trained on new products?
• How much would you pay for [product]?
• Please describe who you might collaborate with when [task]?
• How often do you do [task]?

Questions about the product

Once you understand the problem your product will solve, and the people who’ll be using it, it’s time to circle back to the product itself. Questions about the product may be about its usability, what features you’re including, how users feel about content or design, and whether it does what they need it to.

Just like all research, it’s a good idea to ask product-related questions multiple time during the research phase, as both questions and answer will vary depending on what development stage you’re at—from prioritizing which feature to focus on developing first, to assessing how navigable a certain product section is, or reviewing the appeal of specific design aspects.

To gain a well-rounded understanding of how users find using your product or feature, usability testing is imperative. And, if you’re trying to nail down product navigation and identify any bumps in the user journey, tree testing is the research method of choice.

Whatever your focus, questions relating to the product are useful in both evaluative and generative research , and critical for creating a user-centered, solution-focused product.

Sample questions you can use to learn more about the product and features could include:

• How did you find the language (including but not limited to copy, phrasing, tone) used on the website?
• What’s the single most important thing we could do to make [product] better?
• On a scale of 1-10, how was your experience when [task]?
• Was the product navigation as expected?
• If you could change one thing about the design what would it be and why?
• Thinking about what [product] offers, which of the following best describes your feelings about it?

🤔 To dive into the questions you should be asking during usability testing, check out how to ask effective usability testing questions .

Regardless of what questions you ask, it’s worth bearing in mind that this information should be considered a guide, not a rule—as sometimes what people think they’ll do is not what they always do in practice . This is why it’s so important to continue research and testing in all stages of product development, so you can always be working off the most reliable and up-to-date insight.

Guidelines for crafting the right user research questions

Research questions set the standard of the data you’ll gather with them, so it’s crucial to properly craft each question to maximize insight and ensure accurate results.

Using a pre-made question bank is one way to keep questions effective, but if you’re writing your own questions, bear in mind that everything from the language you use to the structure or format of questions can influence the user’s answer.

The best questions for user interviews and research are clear , precise , and unbiased . Let’s go over some ultimate tips for crafting questions that fulfill this.

Stay neutral: avoid leading questions

One of the most important points when it comes to any research is being a neutral party, which means removing cognitive bias from your work. Research isn’t helpful if it’s biased, so ensure your questions are as impartial as possible—after all, just because you like Concept A over Concept B, doesn’t mean everyone will.

The key to staying neutral is avoiding leading questions where you subconsciously favor one thing over another, or plant an opinion or idea in the user’s mind, such as “How would you use concept A?”—this assumes they preferred concept A, which they may not have. Instead, try asking which concept they would use, followed by how they would use it.

Take it one question at a time

The majority of us think best when our minds are clear and able to focus on one thing, so avoid bombarding research participants with multiple questions phrased together.

Rather than asking a question like “What did you think about the design, copy and layout of the page?”, ask individually about the design, copy, and layout. Otherwise, you risk users merging their thoughts into one answer, when in fact they may feel very differently about each element.

Of course some questions lend themselves to being combined (e.g., “Which concept did you prefer and why?”), but it’s best to keep things separate when possible, and ask “Why?” in follow up questions, to allow users space to think and form individual answers for each question.

Ask open-ended questions

Similar to ensuring questions are unbiased, it’s also a good idea to ask open-ended questions—that is, to avoid questions which result in simply a ‘yes’ or ‘no’ answer.

The benefit of open-ended questions is that they give participants an opportunity to expand on their answer, work through their experience, and share details with you that may otherwise be missed. Consider that, while asking “Did you like the product?” may answer whether a user liked it, you’ll be left wondering what it is they like about it. Instead, try framing questions in a way that provides space for additional information, e.g. “What did you think about the product?”.

Pro tip ✨ If you do ask closed-ended questions, always keep follow up questions aside to dig deeper gather and extra insight from your participants.

Help users find their own voice

The language we use is incredibly powerful. Used well, words can move us, sway our opinions, educate us, and more.

By helping your research participants to find their own voice, you can unlock powerful statements and user insights which will truly impact your product. Formatting questions with the user at the center—using ‘you’ and asking emotive questions—builds empathy with the user and encourages them to find and share their own opinions through honest answers.

Ask questions you think you know the answer to

Our final question-crafting tip is to use research questions to test and validate your own assumptions and opinions. Ask questions you think you know the answer to—if you believe all users will prefer one new feature over the other, see if you’re right. If you think a certain design element works better on a different page, ask research participants to determine where they prefer it.

As with any research, while you may be user-adjacent, you are not your users. You are the expert in your product; they are the expert in using your product. Trust their opinions, and use their knowledge and experience to confirm your suspicions, or disprove them. Either way, you gain valuable insights.

User research is as effective as the questions you ask

Whether you’re investigating user preferences or conducting usability testing, research is only as effective as the questions you ask—and how you ask them.

Focus on questions that fit your research objectives, phrase your questions in the best way possible, and work to build empathy with your user; you’ll be able to gather valuable insights in no time.

Frequently asked questions and user research questions

What makes a good user research question?

A good research question is open-ended , unbiased , clear , and precise . It helps research participants share their thoughts, feedback, and opinions with researchers, without influencing or limiting their responses.

What type of user research questions are there?

User research questions can broadly be broken down into three categories:

How do you create a user research question?

There are several ways to create a user research question: you can either write your own question, or select premade questions from an existing research question bank.

If you choose to write your own research questions, it’s important to keep them clear and precise above all else—focus on asking questions that encourage users to open up, share additional information, and speak honestly.

Continue Reading

How to avoid leading questions in UX research (+ examples)

UX research best practices: Building and researching products with ethics in mind

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How To Do Survey Research? All Questions Answered

Thanks to survey research, we can learn what a group of people thinks and feels. It’s useful for making good decisions.

In this article, we’ll show you how to do survey research step-by-step. You’ll also learn why survey research is important and who can benefit from it.

Let’s get started:

What is survey research?

Survey research is all about gathering data from a specific group to get insights into different topics. It’s a go-to method for understanding opinions, behaviors, and traits in a target population. You’ll see it used in many fields like market research, public health, and social sciences.

This approach is popular because professionals can figure out what people think, how they act, and what makes them tick. Whether you’re trying to gauge customer satisfaction , public health trends, or social attitudes, surveys are a handy tool.

It’s a straightforward way to get the information you need to make decisions and understand your audience better.

Key characteristics of survey research

Survey research is unique because it’s systematic . Researchers use popular methods for survey research like online, phone, and in-person surveys to reach their audience.

A good survey has a mix of question types, including open-ended ones, to get a wide range of answers.

Surveys can focus on the whole population or just a sample. Getting a representative sample is key for accurate results. Researchers then analyze the data to find useful insights. This helps them understand trends and behaviors in the group they studied.

Advantages of survey research for businesses and researchers

Survey research has many perks for businesses and researchers. One big advantage is its flexibility in how surveys are done. From phone surveys to mobile surveys, and mixed-mode surveys that combine different techniques, there are many ways to reach people and gather data effectively.

Businesses can get a competitive edge with survey research. For instance, panel surveys collect data from a specific group over time, helping track changes in consumer behavior and preferences. This ongoing data collection can inform product development, marketing strategies, and customer service improvements.

Researchers also gain from survey research’s ability to provide comprehensive data. Census surveys aim to gather info from the entire population and are invaluable for large-scale studies. Survey research centers, like those at universities or places like Sage Publications, often use these methods for extensive projects that add to academic knowledge and have practical applications.

How to do survey research? A step-by-step guide

 Conducting survey research is easier than it sounds.

Check out our detailed step-by-step guide describing each step in an easily understandable format:

Step 1: Define the research objective

• Identifying the purpose of the survey

Before starting your survey research, be sure to pinpoint the survey’s purpose. Are you looking to gather consumer feedback , understand employee satisfaction, or explore market trends? Clarifying the objective helps focus the entire project.

• Determining the key characteristics and target audience

Next, identify the key characteristics of your target audience. Who are you trying to reach? Age, gender, location, and occupation can all be relevant factors. Knowing your audience is great for tailoring your questions and survey approach.

Step 2: Choose the type of survey

• Overview of different types of survey research

Surveys come in various forms, each suitable for different research needs. Some common survey methods include online surveys, telephone surveys, postal surveys, and person surveys.

• Census surveys vs. sample surveys

Census surveys aim to gather data from the entire population, while sample surveys focus on a subset. Each has its pros and cons, depending on the research scope and resources.

• Methods of survey administration

Online surveys : convenient and cost-effective for reaching a large audience.

Telephone surveys : useful for detailed responses but can be time-consuming.

Postal surveys : traditional method, still valuable for certain demographics.

Person surveys : face-to-face interaction can yield in-depth insights.

Mobile surveys : great for quick feedback on the go.

Mixed-mode surveys : combining different methods can improve response rates and data quality.

Step 3: Design the survey

• Crafting clear and concise questions

Well-crafted questions are the backbone of survey research. Aim for clarity and brevity to avoid confusing respondents.

• Using a variety of question types: open-ended questions, closed-ended questions

Incorporate both open-ended questions for detailed feedback and closed-ended questions for quantitative analysis. This mix lets you cover different aspects of the research topic.

• Tips for effective survey design

Avoid leading questions that can bias survey responses. Group similar questions to maintain a logical flow. Pre-test the survey with a small group to catch any issues.

Step 4: Select the survey respondents

• Defining the entire population vs. target population

Determine if you need data from the entire population or a specific target group. This decision influences your sampling strategy.

• Choosing a representative sample

A representative sample reflects the broader population. Avoiding bias in survey research is key to obtaining valid results.

• Methods for sampling: random sampling, stratified sampling

Random sampling : each individual has an equal chance of being selected.

Stratified sampling : divides the population into subgroups and samples each proportionally.

Step 5: Administer the survey

• Best practices for conducting online surveys

Make surveys user-friendly with a clean layout and easy navigation. Personalize invitations to boost participation.

• Effective methods for phone and postal surveys

Use a script for phone surveys to maintain consistency. For postal surveys, include a return envelope to encourage responses.

• Using survey software for efficient administration

Survey software can streamline the data collection process, track response rates, and manage survey distribution.

Step 6: Collect and analyze the data

• Techniques for data collection

Follow up with non-respondents to improve response rates. Use multiple reminders if necessary.

• Analyzing survey results for actionable insights

Data analysis should focus on identifying trends and patterns. Software tools can assist in visualizing the data and spotting correlations.

Step 7: Report the findings

• Presenting data in a clear and meaningful way

Use charts, graphs, and tables to present data visually. This makes complex information more digestible.

• Using visual aids to enhance understanding

Visual aids help highlight key findings and support your conclusions.

• Drawing conclusions and making recommendations

Summarize the findings, highlight applications of survey research, and suggest practical steps based on the data.

Check this out: online survey examples and templates

Differences between qualitative and quantitative survey research

Survey research comes in two flavors: qualitative and quantitative .

Qualitative research digs into the reasons and motivations behind what people do. It uses open-ended questions, letting respondents share detailed, narrative responses. This approach gives deep, nuanced insights but usually involves a smaller group of people.

Quantitative research, on the other hand, deals with numbers. It uses structured surveys with closed-ended questions to collect data that can be crunched statistically. This method works with larger groups and provides generalizable results. It’s great for measuring how common certain behaviors or opinions are in a population.

Importance of understanding human behavior

Survey research is important because it lets us see the complexities of human behavior. 

As a result of collecting and analyzing responses from a target population, researchers can uncover patterns, preferences, and motivations. 

This understanding is essential for fields ranging from marketing to public policy, as it shapes strategies and decisions.

How survey research provides actionable insights

Survey research is a great way to get actionable insights. By gathering data directly from people, researchers can make decisions based on real-world information. 

For example, using quantitative methods, businesses can spot market trends, customer preferences, and areas for improvement. These insights aren’t just theoretical – they lead to practical steps that can improve products, services, and strategies.

Who can benefit from survey research?

#1 Market research firms

Market research firms live and breathe data. They use survey research to understand consumer behavior and preferences. 

By gathering insights through various methods, such as online surveys and phone surveys, these firms help businesses tailor their products and marketing strategies. 

You get to know your customers better, making it easier to meet their needs and stay ahead of the competition.

#2 Educational institutions

Schools, colleges, and universities rely on survey research to improve educational outcomes. They collect feedback from students, parents, and staff to identify areas for improvement. 

Whether it’s course content, teaching methods, or campus facilities, surveys let educational institutions enhance the learning experience. 

Plus, they can use the data to secure funding and support from stakeholders.

#3 Healthcare organizations

Healthcare organizations benefit from survey research too. Collecting patient feedback lets them improve care quality and patient satisfaction. 

Surveys identify issues in service delivery, patient safety, and overall healthcare experience. 

Whether it’s a hospital, clinic, or a public health department, using survey research leads to better healthcare outcomes for everyone involved.

#4 Government agencies

Government agencies use surveys to gather public opinion on various policies and programs. They aim to understand the needs and preferences of citizens to make informed decisions. 

From local governments to federal agencies, survey research aids in crafting policies that truly reflect public interest. 

It’s a way for you to have your voice heard on matters that affect your community and daily life.

#5 Non-profits

Non-profits leverage survey research to evaluate the impact of their programs and services. 

They gather insights from beneficiaries, donors, and volunteers to make their efforts align with their mission. Whether it’s a charity, foundation, or advocacy group, surveys help non-profits maximize their impact and make a difference. 

It’s all about understanding how to serve better and drive positive change in society.

Start your survey research with SurveyLab today

If you’re looking to conduct your first survey research, SurveyLab is here to save the day with comprehensive survey services.

Whether you’re interested in customer experience, human resources, market research, or digital UX, our platform is tailored to meet your unique needs.

Why SurveyLab?

• Seamless integration: easily connect SurveyLab with your CRM, eShop, BI/DWH, and more. Automate your research process so you can focus on what matters – growing your business.
• Mobile-friendly surveys: reach your audience on any device. Our surveys adjust automatically, so you get a seamless experience whether on a PC, tablet, or smartphone.
• Dedicated support: from consulting services to software development and training, our support team is ready to assist you every step of the way.
• Multi-language capabilities: create surveys in any language, including right-to-left languages like Hebrew and Arabic. Our system detects browser settings and provides the appropriate translation.

Join over 85,000 happy customers – SurveyLab is trusted by big international corporations, small companies, and professionals alike. Hear from our satisfied clients:

“SurveyLab was the most responsive and flexible solution for our needs.” – Krzysztof Puzio, IT DSS Junior Coordinator, BAT

“Thanks to online surveys, we reached our intended indicators and acquired EU funding.” – Zdzisław Janeczko, The District of Leżajsk

Ready to get started? Sign up for a free 14-day trial and see why SurveyLab is the perfect research tool for your business. Create your first survey today and see the results in real-time.

Get ready for: professional features, easy to use interface, no commitment.

For more information, visit our website or contact our dedicated support team . Let’s make survey research easy and efficient with SurveyLab.

Try SurveyLab for free Best survey tool with great features

14 days trial | view complete list of features

How many questions should be asked in a survey?

Of course, everyone wants to collect as much detailed data as possible. But while statisticians might love large amounts of data, when it comes to creating a survey, fewer questions are usually better – as long as they are the right questions.

Companies that already have some experience with surveys have likely noticed that asking more questions doesn’t necessarily lead to more insights. On the contrary, too many irrelevant questions may make it difficult to evaluate data. Check out the tips below to learn how to align the right questions with the right goals, and be efficient in your survey development process.

How many survey questions are too many?

Statistics show that most companies have room for improvement when it comes to the efficiency of their employee engagement surveys. In fact, only 22% of businesses are getting actionable results . Customer surveys pose yet another challenge. More than 70% of consumers perceive surveys as an unwelcome interruption in their user experience.

There’s no question the number of survey questions has an impact on the response rate. You can read more about how to improve that particular aspect of your survey in the article 5 keys to improving survey response rates. However, in this article, we want to focus on how the number of questions and length of a survey can help you keep your research goals focused and deliver significant results.

Determining one central survey question

What is the purpose of your survey? The core purpose of your survey should be based on a single question, examined from several different perspectives. Ultimately, you are trying to gather insight about one specific point, and then all the rest of the questions are about adding nuance and detail to that answer.

While it might seem challenging to narrow down your focus, having a single objective will actually help you build and structure your survey. It is important for respondents to understand the purpose of your survey to avoid becoming distracted. Using models such as logic & branching or multiple choice can help you group questions and increase the data volume while keeping the survey length effectively brief.

Track the average answering time

Although you might be focused on collecting the right data, you don’t want to miss one important yet often neglected metric: The average time respondents spend answering the questions.

According to customer case studies, 52% of survey participants tend to drop out after spending more than three minutes on a survey . Keeping track of how long it takes to answer your questions will help you to adjust the survey if necessary. Make sure to choose a survey tool that will provide you with these insights.

• Create surveys based on our templates
• Send surveys via email, links, API or individual logins
• Analyse responses with filters & AI

Evaluate pulse surveys, NPS, and ESI

Some surveys cannot be short. For example, annual employee surveys or B2B partner surveys give survey respondents the opportunities to provide long-form answers. This kind of detail is hard to make up in other ways. Surveys like this give companies a bigger and more complete picture of their overall satisfaction, which helps them take immediate action.

But if a longer survey is not necessary, consider some shorter options.  Pulse surveys typically consist of 5-15 questions and are dispatched at a higher frequency than annual surveys. Pulse surveys are also an effective way to collect critical data and more often. Shorter surveys, such as Employee Satisfaction Index or Net Promoter Score, are best for providing straightforward, real-time feedback.

Consider market research panels

Market research involves a substantial amount of data to make more informed decisions. However, market research surveys directed towards non-existing customers are also the surveys with the lowest response rates. Therefore, consumer panels are highly recommended. Reaching out to your target group via a panel provider will allow you to collect data from a group of people with chosen demographics. You can easily track demographics data in your analytics tool.

Ask the right survey questions

For survey newbies, or for those looking for a starting point for your next survey, modifiable survey templates are your best friends. Remember, you aren’t the first to conduct a survey. There are a number of service providers available to provide you valuable advice regarding best survey designs and the best course of action. Which question format has a similar industry / organisation type / target group used? Why not leverage professional expertise and read case studies and success stories ? These resources can help you choose the right survey tool that just might make you the next success story.

How to utilise the advantages of qualitative research

When we think of survey, we often think of a single question to rate something…

How to speed up the pretest of your questionnaire: Practical tips for everyday survey work

The pretest of a questionnaire can often be done with simple means. We explain how this works.

5 essential tips for avoiding untruths and ensuring reliable survey data

Discover essential strategies for dealing with untruths in surveys, and unlock reliable data insights with Netigate's expertise in questionnaire design and untruth recognition.

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Human Resources Director

• Madison, Wisconsin
• SCHOOL OF EDUCATION/GENERAL ADMINISTRATION
• Human Resources
• Partially Remote
• Staff-Full Time
• Opening at: Aug 12 2024 at 17:00 CDT

Job Summary:

UW-Madison's School of Education is the #1 ranked school of education in the United States and has approximately 850 employees comprised of tenure/tenured track faculty, instructional academic staff, graduate assistants, and staff members. Our student body is comprised of approximately 3,600 undergraduate & graduate students. The School of Education is a unique school made up of ten diverse academic departments, three major research units, and many outreach and support units, all known for their dedication to high-quality outcomes and their desire to positively impact our world. The Director of Human Resources is a key leadership position in the School of Education, with a focus on attracting, developing, and retaining excellent staff and faculty in a fast-paced and dynamic environment. Reporting to the Chief Financial Officer, this position requires an energetic and collaborative individual with sound judgment and a proven track record of leadership and problem-solving skills. This position plans, directs, and coordinates human resources management activities for the departments, centers, units, and programs of the School of Education to maximize the strategic use of human resources and maintain compliance with faculty and staff policies and procedures, employee compensation, benefits, recruitment, employee relations, training and development, and legal compliance; recommends and develops campus policy for graduate student appointments.

Responsibilities:

• 15% Plans, directs, implements, and manages strategic initiatives for multiple human resources functions
• 10% Exercises supervisory authority, including hiring, transferring, suspending, promoting, managing conduct and performance, discharging, assigning, rewarding, disciplining, and/or approving hours worked of at least 2.0 full-time equivalent (FTE) employees
• 20% Develops, recommends, and implements policies and procedures to comply with laws, regulations, institutional policies, and divisional objectives
• 15% Develops resolution strategies regarding HR matters such as workforce performance and competency gaps, organizational structures, and compensation, and develops training plans and mitigation strategies as needed
• 15% Oversees HR activities such as recruitment, pay administration programs, new hire orientations, employee benefits, and health and safety plans through managerial HR staff
• 25% Serves as an advisor and liaison to internal and external stakeholders providing organization information and interpretation of human resources policies and procedures and represents the interests of the division

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Required Bachelor's Degree Preferred Master's Degree

Qualifications:

Required Experience: - Minimum of five (5) years of experience in human resources - Demonstrated experience as a supervisor and leader of a human resources team - Demonstrated experience interpreting federal and state regulations and other policies related to human resource practices, including FLSA, FMLA, Worker's Compensation, Equal Opportunity and Affirmative Action, and ADA. Knowledge, Skills, and Abilities required to be successful in this position: - Ability to develop, recommend and implement administrative policies and procedures and evaluate effectiveness for an organization. - Demonstrated knowledge of applying principles and procedures for personnel recruitment, selection, training, compensation and benefits, labor relations, retention, and human resource information systems. - Excellent verbal and written communication skills - Strong organizational skills with the ability to manage several projects simultaneously with attention to detail Preferred: - Higher education experience across multiple employee categories - Demonstrated commitment to promoting equity, diversity, and inclusion.

Full Time: 100% This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Appointment Type, Duration:

Ongoing/Renewable

Minimum $120,000 ANNUAL (12 months) Depending on Qualifications Actual hiring rate will be commensurate with education and experience. Employees in this position can expect to receive benefits such as generous vacation, holidays, and paid time off; competitive insurances and savings accounts; retirement benefits.

Additional Information:

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Handling sensitive questions in surveys and screeners.

August 9, 2024 2024-08-09

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Frequently, surveys and screeners contain questions that some respondents may find sensitive or be reluctant to answer. Even questions that might seem innocuous to a researcher, like age, gender, or income level, could cause an emotional response from your respondents.

This article guides you through handling sensitive questions in surveys and screeners and provides some example wording for you to use in the future.

In This Article:

Which questions are sensitive, guidelines for handling sensitive questions, specific question wordings.

Researchers should always attempt to avoid any possible discomfort experienced by their research participants. In addition to the obvious ethical implications, sensitive questions could cause participants to either abandon the survey or, worse, provide unreliable answers.

A sensitive question is one that respondents might find embarrassing or invasive.

There are multiple categories of sensitive questions to be aware of, but two are particularly worthy of consideration for user researchers: demographic questions and questions about socially undesirable behaviors.

Demographic Questions

Survey researchers often add demographic questions  to a questionnaire without considering how they might be construed. While many survey takers might breeze through demographic questions, they can be potentially triggering or offensive for some respondents.

Demographic questions that have the potential to be perceived as sensitive include those asking about:

• Income level

Income level can be especially problematic and lead to high rates of nonresponse. One study by Jeffrey Moore and colleagues found that questions about income are 10 times more likely to be left blank than other demographic questions.

Sex and gender are other categories of questions that can be sensitive depending on one’s gender identity. Take this question from a recent Nielsen Radio Ratings survey.

Many people would easily complete this question without a second thought. However, consider this account from genderqueer essayist s.e. smith:

“For some trans* folk, it is a place of endless heartbreak. Every. Single. Time. I fill out a form, I stop here. There is a long pause. A hesitation. A sigh. I am not male. I am not female. On paper forms, I often leave it blank [...] Imagine dreading the filling out of forms not because it’s a hassle and it’s repetitive and it’s not very fun. Imagine dreading it because you know that you are going to have to lie and erase yourself every time you fill out a form.”

User researchers like to refer to themselves as user advocates. This lofty designation extends not only to designing delightful user experiences and interfaces but also to protecting the human experiences of our research participants. This includes all participants, not just those that fall into a perceived norm.

Questions About Socially Undesirable Behaviors

Social-desirability bias is a cognitive bias that dictates that people are less likely to disclose behaviors or preferences that are deemed to be undesirable by society. Behaviors that are considered socially undesirable can vary from person to person and, therefore, are likely to slip undetected through a survey creation process.

Common behaviors known to lead to underreporting in surveys include:

• Alcohol consumption
• Cigarette smoking (especially during pregnancy)

However, there are less obvious behaviors as well. For example, voting is also considered a socially desirable behavior, and in many surveys, the reported voting rate is higher than the real one.

Beyond these categories, additional topics that might include sensitive questions include the following:

• Questions about illegal activity
• Identifying information (e.g., home address)
• Emotionally upsetting topics (e.g., health concerns or victimization)
• Information that might be threatening in the wrong hands (e.g., disclosing a preexisting health condition)

While the strategy for addressing sensitive survey questions will vary based on multiple factors, some general guidelines are always helpful.

Determine if You Really Need to Ask

Researchers frequently include demographic questions in a survey just out of habit, without considering whether asking is truly necessary. To optimize response rate, surveys should be kept as short as possible, and therefore any question should be included only if necessary for the research at hand.

Here are 2 questions you should ask yourself before including any question in a questionnaire, regardless of sensitivity.

1. Do You Truly Care About the Answer?

Don’t ask questions because you’re merely curious, or assume all questionnaires should include basic demographic questions. If you have no plans to make decisions based on the outcome, you probably shouldn’t include the question.

2. Can You Find the Answer Another Way?

Are you using a recruiting panel like UserTesting.com or User Interviews? If so, a lot of demographic data about respondents is already included in their profiles and, therefore, doesn’t need to be asked.

Are you asking about browsing behavior on your site, data that could be gathered more accurately from analytics? Don’t ask users to provide you with information that you can access in another, less intrusive way.

Emphasize Confidentiality and Anonymity

Whether to keep participant data confidential, anonymous, or both is an important consideration in survey methodology. While often conflated, these two terms describe two different concepts.

Anonymity means a participant's data cannot be traced back to their identity. Ensuring anonymity may mean using a pseudonym or code number instead of the participant’s name in reporting.

Confidentiality limits the people who are permitted to view the response. Ensuring confidentiality might mean that no one beyond the immediate research team will ever view the survey data.

Anonymity is typically required in most cases of user research, and confidentiality is typically overkill. That said, adding the promise of confidentiality can sometimes increase the likelihood of complete and honest responses to sensitive questions.

Respondents should never have to guess whether a survey is anonymous, confidential, both, or neither. This information should be readily available to respondents when they are deciding whether to take the survey. For example:

Your privacy is important to us. All responses to this survey will be kept strictly confidential. Individual answers will be anonymized and aggregated for analysis. Your personal information will not be shared with any third parties, and will only be used for the purpose of this research. Thank you for your participation.

Lead Up to Sensitive Questions

Sensitive questions placed too early in a questionnaire or screener are more likely to lead to dropoffs. Build respondent trust with nonsensitive questions first, allowing them to invest effort in the process.

This guideline also applies to demographic questions, which should be optional and placed at the end of a questionnaire, not at the beginning, as is often the case. Demographic questions at the beginning are much more likely to lead to dropoffs than demographic questions at the end, even when they are not deemed to be sensitive.

Also, avoid placing particularly sensitive questions at the very end of a survey. If you inadvertently offend a respondent, you don’t want that to be their lasting impression of the survey.

Provide Context and Use “Question Loading”

UXers love to remove unnecessary text from interfaces and forms. Sometimes, however, adding more information is necessary.

First, you may use question loading (not to be confused with a leading question ). Question loading is the inclusion of additional context that may assuage respondent guilt or shame around questionable behavior.

Original question: Do you save a portion of your income each month?

With question loading: Given the rising cost of living and various financial commitments, many people find it challenging to save regularly. How often are you able to save a portion of your income each month?

Additionally, if a question or topic may raise eyebrows, consider explaining the purpose of asking it and the benefit that could come from answering it honestly. For example, if a survey asks a question about abortion, the drafter may include language such as the following:

We are conducting a survey to understand people's experiences with abortion. Please know that your responses are completely anonymous and will be used solely to improve access to abortion care for those who need it. We approach this topic with sensitivity and without judgment.

Use Ranges Rather than Specific Values

Imagine you want to ask about someone’s income — something they may reasonably feel sensitive about sharing. Imagine someone’s reaction to reading the following question:

What is your annual household income: __________

A respondent would likely feel very apprehensive about sharing their specific income for several reasons. They may:

• Worry about how their income will compare to the rest of the sample and whether they would be an outlier on either end of the scale
• Be confused about input formats (Do I include a dollar sign? Do I include “.00 ”? Do I include “ per year ”?)
• Worry about whether giving an exact number may be somehow identifying or overly revealing
• Be reluctant to do math if their income is variable or complex

Now consider the following format instead:

What is your total annual household income?

• $24,999 or less
• $25,000 to $49,999
• $50,000 to $74,999
• $75,000 to $99,999
• $100,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

This tweak addresses all the previous concerns. With this question format, a respondent would:

• Have a sense of how their income compares to the range, and hopefully get some reassurance that they are not alone in whatever range they fall into
• Not need to worry about an input format
• Not need to provide an exact number
• Be less likely to need to do math

Ranges feel less sensitive than asking for specific values. The larger the ranges provided, the less sensitive the request feels.

Ask About Frequency Rather than Yes/No Questions

Consider the following question from the 2019 Youth Risk Behaviors Survey.

During your life, how many times have you used marijuana?

• 1 or 2 times
• 3 to 9 times
• 10 to 19 times
• 20 to 39 times
• 40 to 99 times
• 100 or more times

Rather than simply asking Have you ever used marijuana? (which, admittedly, would probably have been easier for respondents to answer correctly if they had been willing to share that information) , the researchers asked about the frequency of use. While the Yes/No formulation may imply a moral judgment and encourage lying, the frequency question makes a slight assumption that the respondent has indeed used marijuana in the past, which encourages honesty.

Additionally, you may wish to provide additional response options at the end of the range that may be perceived as undesirable, to skew the responses away from bias. For example, consider the following question about exercise frequency.

How often do you engage in physical exercise each month?

• 0 to 3 times a month
• 4 to 7 times a month
• 8 to 12 times a month
• 13 to 20 times a month
• More than 20 times a month

Someone who only works out once or twice per month may feel shame around selecting the bottommost option, and dishonestly select a response towards the middle of the range (see central-tendency bias ).

The following formulation would likely encourage more honest responses from infrequent exercisers.

• 0 times a month
• 1 to 2 times a month
• 3 to 4 times a month
• 5 to 7 times a month

Ask Indirectly

For particularly sensitive topics, researchers may wish to employ an indirect surveying technique, such as the item-count method.

In this approach, the respondent population is divided into two groups. Each group is asked an identical question about how many behaviors from a list they have engaged in, with the addition of the behavior in question for only one of the groups.

For example, consider this question from a 2014 study by Jouni Kuha and Jonathan Jackson at the London School of Economics:

I am now going to read you a list of five [six] things that people may do or that may happen to them. Please listen to them and tell me how many of them you have done or have happened to you in the last 12 months. Do not tell me which ones are and are not true for you. Just tell me how many you have done at least once. Attended a religious service, except for a special occasion like a wedding or funeral Went to a sporting event Attended an opera Visited a country outside [your country] Had personal belongings such as money or a mobile phone stolen from you or from your house? Treatment group only: Bought something you thought might have been stolen

During the analysis, the research will then compare the differences between the two groups in order to estimate the frequency of the behavior in question.

Embed the Sensitive Question

A single sensitive question in an otherwise mundane questionnaire can stand out and be jarring. Researchers may attempt to disarm the respondent with other slightly sensitive questions to mask the question of interest.

Some questions (e.g., demographic questions) are very common and potentially sensitive. The following section includes recommendations for specific wording for these questions. You are welcome to utilize these wordings in your own surveys and screeners.

Sex and Gender

Sex and gender, while frequently conflated and confused, are different (sex is biological characteristics, whereas gender is one’s social identity). The first question you need to ask yourself when asking about sex or gender (after asking, “Do I really need to be asking at all?”) is, “Which one do I care about?” Most of the time, UX researchers care about gender, not sex.

The most important thing to remember when asking about gender is to use inclusive and gender-expansive language that captures the full breadth of gender identity that society now recognizes.

First, consider the question wording. Please select your gender implies that one of the options provided will be a perfect match for the respondent’s gender identity and, therefore, requires the inclusion of an Other:_______ option.

On the other hand, Which of the following best represents your gender? implies only a best fit, so the use of a fill-in-the-blank Other option, while still advisable, is not required.

Next, consider the options provided. It is no longer acceptable to limit gender identity options to simply man and woman . Society’s understanding of gender identity has expanded, and research methods must reflect that.

In most instances, it is sufficient to limit options to the following categories:

• Prefer to self-describe:_______
• Prefer not to disclose

If you additionally have a need to know whether someone is transgender (e.g., in order to differentiate between cisgender men and transgender men, both of whom would select Man from the above options), ask a followup question:

Do you identify as transgender?

If you are conducting research for which a granular and inclusive capturing of one’s gender identity is necessary, consider using the following options to the first question and omitting the followup transgender question.

• Cisgender man
• Cisgender woman
• Transgender man
• Transgender woman
• Nonbinary person
• Genderqueer/genderfluid person
• Agender person
• Two-spirit person
• Intersex person
• Prefer to self-describe:______

Age is a common question in in user-research surveys, as age may correlate to distinct persona traits. Adhere to the following best practices when asking about age:

One recommended wording is:

How old are you? (single select)

• 17 or under

Race and Ethnicity

Like sex and gender, race and ethnicity are often confused but are different (race refers to physical traits; ethnicity refers to cultural identity and heritage).

Determine first which you care about. It is possible to formulate questions that ask about race only, about ethnicity only, or about both.

Additionally, be aware that many people identify with more than one racial and ethnic group and will be excluded if you force them to pick one. For this reason, use multiselect question formats for these questions.

How do you describe yourself? (multiselect)

• American Indian or Alaska Native
• Black or African American
• Native Hawaiian or Other Pacific Islander
• White or Caucasian
• Other:______

Just Ethnicity

Are you of Hispanic, Latinx, or of Spanish origin? (single select)

You can ask about both race and ethnicity separately, using the two questions above, or you can combine them into a single question:

How do you describe yourself? (multi-select)

• Hispanic or Latinx

Accessibility Needs and Disabilities

When asking about accessibility needs or disability, do so directly, using language used by the communities in question.

Do you have any of the following accessibility needs? (Select all that apply)

• Cognitive: such as dyslexia or ADHD
• Emotional: such as anxiety or depression
• Hearing: such as deafness or hearing loss
• Motor: such as cerebral Palsy or arthritis
• Visual: such as blindness or vision loss
• Other:________
• No, I don’t have any accessibility needs

Make sure to avoid language that implies negativity (e.g., Do you have diabetes? instead of Do you suffer from diabetes?; Do you use a wheelchair ? instead of Are you confined to a wheelchair? ).

Language Proficiency

Suppose you need to know about someone’s qualitative assessment of their own language proficiency. In that case, it is helpful to provide a brief description of each answer option to ensure understanding, particularly if the reader is less proficient with the language.

How would you describe your English language level (or proficiency)?

• Native / Mother-tongue: English is my first language
• Fluent: I can speak, read, and write in English fluently
• Proficient: I am skilled in English but not fluent
• Conversational: I can communicate effectively in English in most situations
• Basic knowledge: I have a basic knowledge of the language

Groves, R.M., Fowler Jr, F.J., Couper, M.P., Lepkowski, J.M., Singer, E., and Tourangeau, R. 2009. Survey Methodology . 2nd ed. Wiley.

Jarrett, C. 2021. Surveys That Work . Rosenfeld Media.

Kuha, J. and Jackson, J. 2014. The item count method for sensitive survey questions: modelling criminal behaviour. Journal of the Royal Statistical Society: Series C (Applied Statistics) 63, 2 (Feb. 2014), 321-341. Published by Oxford University Press.

Moore, J., Stinson, L., and Welniak, E. 1997. Income Measurement Error in Surveys: A Review. In Cognition and Survey Research, Sirken, M., Herrmann, D., Schechter, S., Schwarz, N., Tanur, J., and Tourangeau, R. (Eds.). Wiley, New York, 155-174.

smith, s.e. 2009. Beyond the Binary: Forms. Retrieved March 31, 2021, from meloukhia.net/2009/12/beyond_the_binary_forms/.

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Here’s a look at questions about Tim Walz’s military record

Walz’s military record under scrutiny as Vance, GOP question his service

FILE - Minnesota Gov. Tim Walz, the running mate of Democratic presidential nominee Vice President Kamala Harris, is pictured at a campaign rally in Philadelphia, Aug. 6, 2024. (AP Photo/Matt Rourke)

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CINCINNATI (AP) — Republicans are questioning Minnesota Gov. Tim Walz’s military record after Vice President Kamala Harris named him as her running mate this week.

Here’s a look at the issue:

He retired before his unit’s deployment to Iraq

Walz served a total of 24 years in various units and jobs in the Army National Guard. But it’s his retirement in 2005 that’s prompting criticism from some Republicans who are suggesting he abandoned his team to pursue a campaign for Congress.

As he ramped up for a congressional bid in 2005, Walz’s campaign in March issued a statement saying he still planned to run despite a possible mobilization of Minnesota National Guard soldiers to Iraq. According to the Guard, Walz retired from service in May of that year.

In August 2005, the Department of the Army issued a mobilization order for Walz’s unit. The unit mobilized in October of that year before it deployed to Iraq in March 2006 .

There is no evidence that Walz timed his departure with the intent of avoiding deployment. But the fact remains that he left ahead of his unit’s departure. In a statement, the Harris campaign pushed back on GOP characterizations of Walz’s service, and also noted that he advocated for veterans once he was elected to the U.S. House.

“After 24 years of military service, Governor Walz retired in 2005 and ran for Congress, where he chaired Veterans Affairs and was a tireless advocate for our men and women in uniform — and as Vice President of the United States he will continue to be a relentless champion for our veterans and military families,” the campaign said.

Before leaving Detroit, where she and Walz played up their support for organized labor , Harris on Thursday responded to a question about the criticism of her running mate’s record.

“Listen, I praise anyone who has presented themselves to serve our country,” she said. “And I think that we all should.”

Walz didn’t serve in a combat zone

Earlier this week Harris’ campaign circulated on X a 2018 clip of Walz speaking out against gun violence, and saying, “We can make sure that those weapons of war, that I carried in war, is the only place where those weapons are at.” That comment suggests that Walz portrayed himself as someone who spent time in a combat zone.

According to the Nebraska Army National Guard, Walz enlisted in April 1981 — just two days after his 17th birthday — and entered service as an infantryman, completing a 12-week Army infantry basic training course before graduating from high school.

While attending the University of Houston in 1985, he was reclassified as a field artillery cannoneer as a member of the Texas Army National Guard, later serving as an instructor with the Arkansas Army National Guard.

In 1987, Walz returned to Nebraska’s Guard detachment, continuing field artillery assignments while he completed a college degree. By 1996, he transferred to the Minnesota Army National Guard. In 2003, he deployed to Italy in a support position of active military forces in Iraq and Afghanistan. But he was not in a combat zone himself.

“Do not pretend to be something that you’re not,” Republican vice presidential nominee JD Vance said Wednesday as he campaigned in Michigan. “I’d be ashamed if I was saying that I lied about my military service like you did.”

Vance enlisted in the Marine Corps after graduating high school, serving four years as a combat correspondent, a type of military journalist, and deploying to Iraq in that capacity in 2005.

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Neither Trump nor Harris has served in the U.S. military. Trump received a series of deferments during Vietnam, including one attained with a physician’s letter stating that he suffered from bone spurs in his feet.

The Harris campaign statement said Walz “would never insult or undermine any American’s service to this country” and “thanks Senator Vance for putting his life on the line for our country. It’s the American way.”

What about his rank?

Harris’ campaign has referred to Walz as a “retired Command Sergeant Major,” one of the top ranks for an enlisted soldier. He did in fact achieve that rank, but personnel files show he was reduced in rank months after retiring. That left him as a master sergeant for benefits purposes.

Minnesota National Guard officials have said that Walz retired before completing coursework at the U.S. Army Sergeants Major Academy, along with other requirements associated with his promotion.

Associated Press writers Darlene Superville, Trenton Daniel and Richard Lardner contributed to this report.

Meg Kinnard can be reached at http://x.com/MegKinnardAP

More From Forbes

Gender inclusion in the workplace matters: how to ask the right questions.

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Antoine Andrews is the Chief Diversity & Social Impact Officer at SurveyMonkey .

As our internal cultures evolve and we find impactful ways to amplify the many voices that shape the companies we name on our LinkedIn, diversity, equity and inclusion (DEI) is more top of mind than ever.

I have worked with teams throughout my career who have created equitable workplaces in incredible ways. It is no question a diverse workforce is one that prioritizes inclusion. I have seen firsthand how purpose-led initiatives built on inclusivity bolster a strong and successful team that thrives on different perspectives.

Pride Month —a time to commemorate lesbian, gay, bisexual, transgender, queer (LGBTQ+) pride, rights and culture—is this month. Annually, the month of June casts a light on business and HR leaders to evaluate their own processes and approaches to ensure their culture is rich in empathy, led by respect and driven by clear goals.

Organizational impact is the goal, therefore changes made internally are most critical.

Months such as Pride act as catalysts that commonly drive public DEI pledges and commitments. But changing a logo to check a business "box" simply won’t suffice. DEI is a cultural outcome, capitalized by the leaders responsible and the teams who sustain them.

One timely example is the changing way Americans ask about gender. This has changed significantly within the last decade, reflecting larger societal shifts. For example, according to McKinsey, "People who identify as transgender say they feel far less supported in the workplace than their cisgender colleagues do. They report that it’s more difficult to understand workplace culture and benefits, and harder to get promoted. They also feel less supported by their managers."

Workplaces have a tremendous opportunity for learning and change when it comes to meaningful implementation and progress through the lens of gender equity. Emma Watson, once while giving a speech on this exact topic, put it powerfully:

“It is time that we all see gender as a spectrum instead of two sets of opposing ideals. We should stop defining each other by what we are not, and start defining ourselves by who we are.”

So how do you ask the right questions to cultivate gender equity in the workplace? Below, I outline a few supporting points and a handful of best practices to consider.

The results are in: Gender identity is gaining traction in surveys.

The heightened focus on DEI consistently remains a major topic in the public discourse, and SurveyMonkey research shows gender identity gaining prominence within the larger context of these conversations. As awareness of gender diversity continues to rise, we’re seeing the growing inclusion of non-binary gender options in surveys, a critical tool for us as HR leaders to get an accurate and timely pulse on workplace dynamics.

Using surveys to glean perspectives across all genders in the workplace provides a distinct advantage in organizations’ quests for gender equity. Knowledge gained through targeted research, including specific demographics such as gender identity, can help facilitate progressive change and gender inclusion within organizations. As with any decision, having access to real-time insights and feelings can deliver better outcomes.

We’re already moving in the right direction. Over the past decade alone, the percentage of surveys with gender questions that include more than two gender options has quadrupled. The specificity of labels is changing, too, shifting from the pervasive use of “other” to the more inclusive term “non-binary.” With this more inclusive research comes more authentic data that we can use to drive more informed business decisions.

Gender identity in the workplace matters.

Information about the gender identity of your employees and candidates can help give you a clearer understanding of their preferences, as well as the issues related to DEI they face every day. Individual characteristics can influence how people respond to everything from employee survey results and workplace experiences to communication preferences and recruitment tactics, all of which will influence different aspects of your HR strategy.

Of course, the more you know about your audience, the more likely your messaging will resonate with them. But it’s not quite that simple. There is an art to asking the right questions and incorporating them into your surveys to get the most useful and accurate data. This is particularly true of more sensitive questions, such as those surrounding gender identity.

There are many ways to make your research more gender inclusive.

While there is no single right way to appropriately gather data about a person’s gender identity, there are some best practices that can make respondents more receptive and the overall experience more respectful:

• Provide as much context as possible about why you’re asking questions about gender identity, how you’ll protect personal privacy and what you plan to do with the data.

• Make tactical use of the "other" or fill-in-the-blank option to allow respondents to self-identify if they don’t see an option that accurately describes their gender.

• Only include the gender-focused questions you absolutely need to stave off survey fatigue and effectively inform follow-up questions.

• Put questions about gender identity toward the later half of the survey to provide time to establish rapport. It will feel less invasive.

• Use phrasing that reflects the most up-to-date gender terminology.

• Don’t use male pronouns survey-wide; instead, use they/them or a variety of pronouns to diversify across the survey.

• Allow respondents to skip questions if they don’t feel comfortable answering them all.

• Make responses anonymous, and let respondents know they are anonymous.

Don’t be afraid to ask.

A study by the U.S. Census Bureau showed respondents are willing to answer sensitive questions about gender identity. Especially when these sensitive questions are asked in an educated and thoughtful way, you shouldn't be afraid to address gender identity in your research and use it as a tool to advance DEI within your organization.

Truly inclusive surveys rooted in empathy and respect will make people of all genders feel heard, seen and valued for their unique perspectives and will go a long way toward cultivating the diversity and equity we seek in a workforce.

Forbes Human Resources Council is an invitation-only organization for HR executives across all industries. Do I qualify?

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How to cite ChatGPT

Use discount code STYLEBLOG15 for 15% off APA Style print products with free shipping in the United States.

We, the APA Style team, are not robots. We can all pass a CAPTCHA test , and we know our roles in a Turing test . And, like so many nonrobot human beings this year, we’ve spent a fair amount of time reading, learning, and thinking about issues related to large language models, artificial intelligence (AI), AI-generated text, and specifically ChatGPT . We’ve also been gathering opinions and feedback about the use and citation of ChatGPT. Thank you to everyone who has contributed and shared ideas, opinions, research, and feedback.

In this post, I discuss situations where students and researchers use ChatGPT to create text and to facilitate their research, not to write the full text of their paper or manuscript. We know instructors have differing opinions about how or even whether students should use ChatGPT, and we’ll be continuing to collect feedback about instructor and student questions. As always, defer to instructor guidelines when writing student papers. For more about guidelines and policies about student and author use of ChatGPT, see the last section of this post.

Quoting or reproducing the text created by ChatGPT in your paper

If you’ve used ChatGPT or other AI tools in your research, describe how you used the tool in your Method section or in a comparable section of your paper. For literature reviews or other types of essays or response or reaction papers, you might describe how you used the tool in your introduction. In your text, provide the prompt you used and then any portion of the relevant text that was generated in response.

Unfortunately, the results of a ChatGPT “chat” are not retrievable by other readers, and although nonretrievable data or quotations in APA Style papers are usually cited as personal communications , with ChatGPT-generated text there is no person communicating. Quoting ChatGPT’s text from a chat session is therefore more like sharing an algorithm’s output; thus, credit the author of the algorithm with a reference list entry and the corresponding in-text citation.

When prompted with “Is the left brain right brain divide real or a metaphor?” the ChatGPT-generated text indicated that although the two brain hemispheres are somewhat specialized, “the notation that people can be characterized as ‘left-brained’ or ‘right-brained’ is considered to be an oversimplification and a popular myth” (OpenAI, 2023).

OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat

You may also put the full text of long responses from ChatGPT in an appendix of your paper or in online supplemental materials, so readers have access to the exact text that was generated. It is particularly important to document the exact text created because ChatGPT will generate a unique response in each chat session, even if given the same prompt. If you create appendices or supplemental materials, remember that each should be called out at least once in the body of your APA Style paper.

When given a follow-up prompt of “What is a more accurate representation?” the ChatGPT-generated text indicated that “different brain regions work together to support various cognitive processes” and “the functional specialization of different regions can change in response to experience and environmental factors” (OpenAI, 2023; see Appendix A for the full transcript).

Creating a reference to ChatGPT or other AI models and software

The in-text citations and references above are adapted from the reference template for software in Section 10.10 of the Publication Manual (American Psychological Association, 2020, Chapter 10). Although here we focus on ChatGPT, because these guidelines are based on the software template, they can be adapted to note the use of other large language models (e.g., Bard), algorithms, and similar software.

The reference and in-text citations for ChatGPT are formatted as follows:

• Parenthetical citation: (OpenAI, 2023)
• Narrative citation: OpenAI (2023)

Let’s break that reference down and look at the four elements (author, date, title, and source):

Author: The author of the model is OpenAI.

Date: The date is the year of the version you used. Following the template in Section 10.10, you need to include only the year, not the exact date. The version number provides the specific date information a reader might need.

Title: The name of the model is “ChatGPT,” so that serves as the title and is italicized in your reference, as shown in the template. Although OpenAI labels unique iterations (i.e., ChatGPT-3, ChatGPT-4), they are using “ChatGPT” as the general name of the model, with updates identified with version numbers.

The version number is included after the title in parentheses. The format for the version number in ChatGPT references includes the date because that is how OpenAI is labeling the versions. Different large language models or software might use different version numbering; use the version number in the format the author or publisher provides, which may be a numbering system (e.g., Version 2.0) or other methods.

Bracketed text is used in references for additional descriptions when they are needed to help a reader understand what’s being cited. References for a number of common sources, such as journal articles and books, do not include bracketed descriptions, but things outside of the typical peer-reviewed system often do. In the case of a reference for ChatGPT, provide the descriptor “Large language model” in square brackets. OpenAI describes ChatGPT-4 as a “large multimodal model,” so that description may be provided instead if you are using ChatGPT-4. Later versions and software or models from other companies may need different descriptions, based on how the publishers describe the model. The goal of the bracketed text is to briefly describe the kind of model to your reader.

Source: When the publisher name and the author name are the same, do not repeat the publisher name in the source element of the reference, and move directly to the URL. This is the case for ChatGPT. The URL for ChatGPT is https://chat.openai.com/chat . For other models or products for which you may create a reference, use the URL that links as directly as possible to the source (i.e., the page where you can access the model, not the publisher’s homepage).

Other questions about citing ChatGPT

You may have noticed the confidence with which ChatGPT described the ideas of brain lateralization and how the brain operates, without citing any sources. I asked for a list of sources to support those claims and ChatGPT provided five references—four of which I was able to find online. The fifth does not seem to be a real article; the digital object identifier given for that reference belongs to a different article, and I was not able to find any article with the authors, date, title, and source details that ChatGPT provided. Authors using ChatGPT or similar AI tools for research should consider making this scrutiny of the primary sources a standard process. If the sources are real, accurate, and relevant, it may be better to read those original sources to learn from that research and paraphrase or quote from those articles, as applicable, than to use the model’s interpretation of them.

We’ve also received a number of other questions about ChatGPT. Should students be allowed to use it? What guidelines should instructors create for students using AI? Does using AI-generated text constitute plagiarism? Should authors who use ChatGPT credit ChatGPT or OpenAI in their byline? What are the copyright implications ?

On these questions, researchers, editors, instructors, and others are actively debating and creating parameters and guidelines. Many of you have sent us feedback, and we encourage you to continue to do so in the comments below. We will also study the policies and procedures being established by instructors, publishers, and academic institutions, with a goal of creating guidelines that reflect the many real-world applications of AI-generated text.

For questions about manuscript byline credit, plagiarism, and related ChatGPT and AI topics, the APA Style team is seeking the recommendations of APA Journals editors. APA Style guidelines based on those recommendations will be posted on this blog and on the APA Style site later this year.

Update: APA Journals has published policies on the use of generative AI in scholarly materials .

We, the APA Style team humans, appreciate your patience as we navigate these unique challenges and new ways of thinking about how authors, researchers, and students learn, write, and work with new technologies.

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000

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