research meaning objectives and types

Educational resources and simple solutions for your research journey

What Are Research Objectives and How to Write Them (with Examples)

Table of Contents

Introduction

Research is at the center of everything researchers do, and setting clear, well-defined research objectives plays a pivotal role in guiding scholars toward their desired outcomes. Research papers are essential instruments for researchers to effectively communicate their work. Among the many sections that constitute a research paper, the introduction plays a key role in providing a background and setting the context. 1 Research objectives, which define the aims of the study, are usually stated in the introduction. Every study has a research question that the authors are trying to answer, and the objective is an active statement about how the study will answer this research question. These objectives help guide the development and design of the study and steer the research in the appropriate direction; if this is not clearly defined, a project can fail!

Research studies have a research question, research hypothesis, and one or more research objectives. A research question is what a study aims to answer, and a research hypothesis is a predictive statement about the relationship between two or more variables, which the study sets out to prove or disprove. Objectives are specific, measurable goals that the study aims to achieve. The difference between these three is illustrated by the following example:

• Research question : How does low-intensity pulsed ultrasound (LIPUS) compare with a placebo device in managing the symptoms of skeletally mature patients with patellar tendinopathy?
• Research hypothesis : Pain levels are reduced in patients who receive daily active-LIPUS (treatment) for 12 weeks compared with individuals who receive inactive-LIPUS (placebo).
• Research objective : To investigate the clinical efficacy of LIPUS in the management of patellar tendinopathy symptoms.

This article discusses the importance of clear, well-thought out objectives and suggests methods to write them clearly.

What is the introduction in research papers?

Research objectives are usually included in the introduction section. This section is the first that the readers will read so it is essential that it conveys the subject matter appropriately and is well written to create a good first impression. A good introduction sets the tone of the paper and clearly outlines the contents so that the readers get a quick snapshot of what to expect.

A good introduction should aim to: 2,3

• Indicate the main subject area, its importance, and cite previous literature on the subject
• Define the gap(s) in existing research, ask a research question, and state the objectives
• Announce the present research and outline its novelty and significance
• Avoid repeating the Abstract, providing unnecessary information, and claiming novelty without accurate supporting information.

Why are research objectives important?

Objectives can help you stay focused and steer your research in the required direction. They help define and limit the scope of your research, which is important to efficiently manage your resources and time. The objectives help to create and maintain the overall structure, and specify two main things—the variables and the methods of quantifying the variables.

A good research objective:

• defines the scope of the study
• gives direction to the research
• helps maintain focus and avoid diversions from the topic
• minimizes wastage of resources like time, money, and energy

Types of research objectives

Research objectives can be broadly classified into general and specific objectives . 4 General objectives state what the research expects to achieve overall while specific objectives break this down into smaller, logically connected parts, each of which addresses various parts of the research problem. General objectives are the main goals of the study and are usually fewer in number while specific objectives are more in number because they address several aspects of the research problem.

Example (general objective): To investigate the factors influencing the financial performance of firms listed in the New York Stock Exchange market.

Example (specific objective): To assess the influence of firm size on the financial performance of firms listed in the New York Stock Exchange market.

In addition to this broad classification, research objectives can be grouped into several categories depending on the research problem, as given in Table 1.

Table 1: Types of research objectives

Characteristics of research objectives

Research objectives must start with the word “To” because this helps readers identify the objective in the absence of headings and appropriate sectioning in research papers. 5,6

• A good objective is SMART (mostly applicable to specific objectives):
• Specific—clear about the what, why, when, and how
• Measurable—identifies the main variables of the study and quantifies the targets
• Achievable—attainable using the available time and resources
• Realistic—accurately addresses the scope of the problem
• Time-bound—identifies the time in which each step will be completed
• Research objectives clarify the purpose of research.
• They help understand the relationship and dissimilarities between variables.
• They provide a direction that helps the research to reach a definite conclusion.

How to write research objectives?

Research objectives can be written using the following steps: 7

• State your main research question clearly and concisely.
• Describe the ultimate goal of your study, which is similar to the research question but states the intended outcomes more definitively.
• Divide this main goal into subcategories to develop your objectives.
• Limit the number of objectives (1-2 general; 3-4 specific)
• Assess each objective using the SMART
• Start each objective with an action verb like assess, compare, determine, evaluate, etc., which makes the research appear more actionable.
• Use specific language without making the sentence data heavy.
• The most common section to add the objectives is the introduction and after the problem statement.
• Add the objectives to the abstract (if there is one).
• State the general objective first, followed by the specific objectives.

Formulating research objectives

Formulating research objectives has the following five steps, which could help researchers develop a clear objective: 8

• Identify the research problem.
• Review past studies on subjects similar to your problem statement, that is, studies that use similar methods, variables, etc.
• Identify the research gaps the current study should cover based on your literature review. These gaps could be theoretical, methodological, or conceptual.
• Define the research question(s) based on the gaps identified.
• Revise/relate the research problem based on the defined research question and the gaps identified. This is to confirm that there is an actual need for a study on the subject based on the gaps in literature.
• Identify and write the general and specific objectives.
• Incorporate the objectives into the study.

Advantages of research objectives

Adding clear research objectives has the following advantages: 4,8

• Maintains the focus and direction of the research
• Optimizes allocation of resources with minimal wastage
• Acts as a foundation for defining appropriate research questions and hypotheses
• Provides measurable outcomes that can help evaluate the success of the research
• Determines the feasibility of the research by helping to assess the availability of required resources
• Ensures relevance of the study to the subject and its contribution to existing literature

Disadvantages of research objectives

Research objectives also have few disadvantages, as listed below: 8

• Absence of clearly defined objectives can lead to ambiguity in the research process
• Unintentional bias could affect the validity and accuracy of the research findings

Key takeaways

• Research objectives are concise statements that describe what the research is aiming to achieve.
• They define the scope and direction of the research and maintain focus.
• The objectives should be SMART—specific, measurable, achievable, realistic, and time-bound.
• Clear research objectives help avoid collection of data or resources not required for the study.
• Well-formulated specific objectives help develop the overall research methodology, including data collection, analysis, interpretation, and utilization.
• Research objectives should cover all aspects of the problem statement in a coherent way.
• They should be clearly stated using action verbs.

Frequently asked questions on research objectives

Q: what’s the difference between research objectives and aims 9.

A: Research aims are statements that reflect the broad goal(s) of the study and outline the general direction of the research. They are not specific but clearly define the focus of the study.

Example: This research aims to explore employee experiences of digital transformation in retail HR.

Research objectives focus on the action to be taken to achieve the aims. They make the aims more practical and should be specific and actionable.

Example: To observe the retail HR employees throughout the digital transformation.

Q: What are the examples of research objectives, both general and specific?

A: Here are a few examples of research objectives:

• To identify the antiviral chemical constituents in Mumbukura gitoniensis (general)
• To carry out solvent extraction of dried flowers of Mumbukura gitoniensis and isolate the constituents. (specific)
• To determine the antiviral activity of each of the isolated compounds. (specific)
• To examine the extent, range, and method of coral reef rehabilitation projects in five shallow reef areas adjacent to popular tourist destinations in the Philippines.
• To investigate species richness of mammal communities in five protected areas over the past 20 years.
• To evaluate the potential application of AI techniques for estimating best-corrected visual acuity from fundus photographs with and without ancillary information.
• To investigate whether sport influences psychological parameters in the personality of asthmatic children.

Q: How do I develop research objectives?

A: Developing research objectives begins with defining the problem statement clearly, as illustrated by Figure 1. Objectives specify how the research question will be answered and they determine what is to be measured to test the hypothesis.

Q: Are research objectives measurable?

A: The word “measurable” implies that something is quantifiable. In terms of research objectives, this means that the source and method of collecting data are identified and that all these aspects are feasible for the research. Some metrics can be created to measure your progress toward achieving your objectives.

Q: Can research objectives change during the study?

A: Revising research objectives during the study is acceptable in situations when the selected methodology is not progressing toward achieving the objective, or if there are challenges pertaining to resources, etc. One thing to keep in mind is the time and resources you would have to complete your research after revising the objectives. Thus, as long as your problem statement and hypotheses are unchanged, minor revisions to the research objectives are acceptable.

Q: What is the difference between research questions and research objectives? 10

Q: Are research objectives the same as hypotheses?

A: No, hypotheses are predictive theories that are expressed in general terms. Research objectives, which are more specific, are developed from hypotheses and aim to test them. A hypothesis can be tested using several methods and each method will have different objectives because the methodology to be used could be different. A hypothesis is developed based on observation and reasoning; it is a calculated prediction about why a particular phenomenon is occurring. To test this prediction, different research objectives are formulated. Here’s a simple example of both a research hypothesis and research objective.

Research hypothesis : Employees who arrive at work earlier are more productive.

Research objective : To assess whether employees who arrive at work earlier are more productive.

To summarize, research objectives are an important part of research studies and should be written clearly to effectively communicate your research. We hope this article has given you a brief insight into the importance of using clearly defined research objectives and how to formulate them.

• Farrugia P, Petrisor BA, Farrokhyar F, Bhandari M. Practical tips for surgical research: Research questions, hypotheses and objectives. Can J Surg. 2010 Aug;53(4):278-81.
• Abbadia J. How to write an introduction for a research paper. Mind the Graph website. Accessed June 14, 2023. https://mindthegraph.com/blog/how-to-write-an-introduction-for-a-research-paper/
• Writing a scientific paper: Introduction. UCI libraries website. Accessed June 15, 2023. https://guides.lib.uci.edu/c.php?g=334338&p=2249903
• Research objectives—Types, examples and writing guide. Researchmethod.net website. Accessed June 17, 2023. https://researchmethod.net/research-objectives/#:~:text=They%20provide%20a%20clear%20direction,track%20and%20achieve%20their%20goals .
• Bartle P. SMART Characteristics of good objectives. Community empowerment collective website. Accessed June 16, 2023. https://cec.vcn.bc.ca/cmp/modules/pd-smar.htm
• Research objectives. Studyprobe website. Accessed June 18, 2023. https://www.studyprobe.in/2022/08/research-objectives.html
• Corredor F. How to write objectives in a research paper. wikiHow website. Accessed June 18, 2023. https://www.wikihow.com/Write-Objectives-in-a-Research-Proposal
• Research objectives: Definition, types, characteristics, advantages. AccountingNest website. Accessed June 15, 2023. https://www.accountingnest.com/articles/research/research-objectives
• Phair D., Shaeffer A. Research aims, objectives & questions. GradCoach website. Accessed June 20, 2023. https://gradcoach.com/research-aims-objectives-questions/
• Understanding the difference between research questions and objectives. Accessed June 21, 2023. https://board.researchersjob.com/blog/research-questions-and-objectives

R Discovery is a literature search and research reading platform that accelerates your research discovery journey by keeping you updated on the latest, most relevant scholarly content. With 250M+ research articles sourced from trusted aggregators like CrossRef, Unpaywall, PubMed, PubMed Central, Open Alex and top publishing houses like Springer Nature, JAMA, IOP, Taylor & Francis, NEJM, BMJ, Karger, SAGE, Emerald Publishing and more, R Discovery puts a world of research at your fingertips.  

Try R Discovery Prime FREE for 1 week or upgrade at just US$72 a year to access premium features that let you listen to research on the go, read in your language, collaborate with peers, auto sync with reference managers, and much more. Choose a simpler, smarter way to find and read research – Download the app and start your free 7-day trial today !  

Related Posts

What is IMRaD Format in Research?

What is a Review Article? How to Write it?

What is Research? – Definition, Objectives & Types of Research

Introduction: Research is a systematic and structured investigation that seeks to expand knowledge, uncover new insights, and provide evidence-based understanding in various fields. It is vital in advancing human understanding, addressing complex problems, and driving innovation. Research encompasses a wide range of methodologies, including empirical studies, experiments, surveys, and theoretical analyses, conducted by researchers across academic, scientific, and professional domains. New discoveries are made through research, theories are developed and tested, and practical solutions are generated. The impact of research is far-reaching, influencing advancements in technology, healthcare, social sciences, environmental conservation, and more. It drives progress, informs policy decisions, and shapes the future by providing a solid foundation of reliable and verified knowledge. The importance of research cannot be overstated, as it drives human knowledge forward and fosters societal development and improvement. Types of Research

What is Research?

The primary objective of the research is to contribute to the existing body of knowledge by uncovering new insights, validating existing theories, or challenging prevailing assumptions. It is driven by the pursuit of truth, accuracy, and evidence-based understanding.

Research can take various forms, depending on the discipline and the nature of the inquiry. It can be empirical, involving the collection and analysis of data through experiments, surveys, observations, or interviews. It can also be theoretical, involving the critical analysis of existing literature and concepts to develop new frameworks or models.

The research process is characterized by systematic and organized steps. It begins with identifying a research problem or topic of interest, followed by an extensive literature review to understand the existing knowledge and identify gaps. Research questions or hypotheses are formulated, and a research design is developed to guide data collection and analysis.

Data collection methods can vary widely, ranging from quantitative approaches such as surveys or experiments to qualitative approaches such as interviews or case studies. Researchers analyze the collected data using appropriate statistical or qualitative analysis techniques to draw meaningful conclusions.

One of the key aspects of research is its emphasis on objectivity and rigor. Researchers strive to minimize bias, ensure the reliability and validity of findings, and maintain ethical standards in their research practices.

The impact of research extends far beyond the academic realm. Research findings inform decision-making processes in various sectors, including healthcare, policy development, business strategies, environmental conservation, and social sciences. It drives technological advancements, fosters innovation, and provides the foundation for evidence-based practices.

Furthermore, research is an iterative process, with new studies building upon and refining existing knowledge. It is a collaborative endeavor, often involving interdisciplinary collaborations and the exchange of ideas among researchers worldwide.

Definitions of Research:

Research is a systematic and organized investigation conducted to expand knowledge, gain a deeper understanding, and generate new insights in a specific field. It involves rigorous and organized data collection, analysis, and interpretation to address research questions or hypotheses. The pursuit of new information drives research, the validation of existing theories, or the exploration of new perspectives. It employs various methodologies to gather and analyze data, including empirical studies, experiments, surveys, interviews, or theoretical analyses. The ultimate goal of the research is to contribute to the existing body of knowledge, advance understanding, and inform decision-making processes across academic, scientific, and professional domains.

Kasi (2009) 1 defines “Research is, therefore, a method for investigating and collecting information aimed at the discovery of new facts or interpretation of existing information, to discover or revise facts, theories, and applications.”

Research is stated by Gina Wisker 1 as “Research is about asking and beginning to answer questions, seeking knowledge and understanding of the world and its processes, and testing assumptions and beliefs.”

Redman and Mory define research as a “systematized effort to gain new knowledge.” 2

Burns (1997) defines research as “a systematic investigation to find answers to a problem.” 2

“The word research is composed of two syllables, re and search. The dictionary defines the former as a prefix meaning again, anew, or over again and the latter as a verb meaning to examine closely and carefully, to test and try, or to probe. Together, they form a noun describing a careful, systematic, patient study and investigation in some field of knowledge undertaken to establish facts or principles.” (Grinnell 1993) 2

Objectives of Research:

The research objectives can vary depending on the specific field of study, the nature of the research, and the researcher’s goals. However, some common purposes of the research include:

• Answer questions: Research aims to provide answers to specific questions or hypotheses. It seeks to investigate and uncover information, data, or insights about a particular topic or issue.
• Solve problems: Research is often conducted to address real-world issues or challenges. It aims to identify innovative solutions, strategies, or approaches that can help overcome obstacles and improve existing systems or practices.
• Generate new knowledge: Research endeavors to contribute to the existing body of knowledge by uncovering new information, theories, or perspectives. It involves exploring uncharted territory or expanding upon existing knowledge in various fields of study.
• Improve understanding: Research aims to deepen our understanding of complex phenomena, processes, or concepts. It seeks to clarify misconceptions, explore underlying mechanisms, or uncover relationships between variables, leading to a more comprehensive and accurate understanding of the subject.
• Add value: Research brings value by providing practical or theoretical benefits. It can lead to technological advancements, policies or practices, enhanced decision-making processes, or the development of new products, services, or theories.

Types of Research:

C.R. Kothari, a renowned Indian researcher and author, has proposed several types of research in his book Research Methodology: Methods and Techniques . According to Kothari, research can be categorized into the following types:

• Descriptive Research: Descriptive research is a method of investigation that provides an accurate and comprehensive description of a specific phenomenon, situation, or population. It involves collecting data through various methods, such as surveys, interviews, or observations, and analyzing the data to identify patterns, characteristics, or trends. Descriptive research does not aim to establish causal relationships or manipulate variables but instead aims to answer questions about what is happening or the current state of the research subject. This type of research is valuable in generating a foundational understanding of a topic, informing decision-making processes, and providing a basis for further research in various fields of study.
• Analytical Research: Analytical research focuses on critically examining and interpreting existing data, information, or theories to gain deeper insights and understanding. It involves analyzing and evaluating data or literature to identify patterns, relationships, or underlying causes. Analytical research aims to go beyond descriptive findings and delves into the reasons and explanations behind observed phenomena. This type of research often involves rigorous statistical analysis, comparative studies, or theoretical frameworks to draw conclusions and make inferences. Analytical research is crucial in advancing knowledge, refining theories, and providing evidence-based insights that can inform decision-making and policy development in various fields of study.
• Applied Research: Applied research is a type of research that is conducted to address practical problems or improve existing practices. It focuses on directly applying knowledge and theories to real-world situations and aims to provide actionable solutions. Applied research often involves collaborating with stakeholders, such as industry professionals or policymakers, to ensure the research outcomes have practical relevance. This type of research emphasizes implementing and evaluating interventions, strategies, or technologies to solve specific issues. The results of applied research can potentially impact society, leading to advancements in technology, policy improvements, or enhanced practices in various domains, including healthcare, education, business, and engineering.
• Fundamental Research: Fundamental research, also known as basic research or pure research, is a type of inquiry that aims to expand knowledge and understanding in a particular field. It explores theoretical concepts, principles, and fundamental laws without immediate practical application. Fundamental research is driven by curiosity and the desire to explore new frontiers of knowledge. It often involves the formulation of hypotheses, experimentation, and rigorous data analysis. The fundamental research findings may not have immediate or direct practical implications. Still, they lay the groundwork for applied research and can lead to significant breakthroughs, innovations, and advancements in various scientific disciplines. Fundamental research is essential for pushing the boundaries of knowledge and fostering a deeper understanding of the world around us.
• Qualitative Research: Qualitative research is an exploratory approach to understanding individuals’ or groups’ meaning, context, and subjective experiences. It involves collecting and analyzing non-numerical data, such as interviews, observations, or textual analysis, to gain deep insights into complex social phenomena. Qualitative research focuses on uncovering underlying motivations, beliefs, attitudes, and cultural influences that shape human behavior. It emphasizes the richness, depth, and complexity of human experiences and seeks to provide a detailed and holistic understanding of a research topic. Qualitative research methods allow for flexibility and adaptability, enabling researchers to capture nuances and explore emerging themes. This type of research is valuable in fields such as anthropology, sociology, psychology, and education, where a deep understanding of human behavior and social processes is sought.
• Quantitative Research: Quantitative research systematically gathers and analyzes numerical data to uncover patterns, trends, and relationships. It involves collecting structured data through surveys, experiments, or observations and applying statistical techniques for data analysis. Quantitative research aims to quantify variables, measure phenomena, and draw objective conclusions based on statistical evidence. This type of research focuses on obtaining precise and measurable results, often using large sample sizes to increase the generalizability of findings. Quantitative research is prevalent in social sciences, economics, psychology, and market research, where numerical data and statistical analysis provide a rigorous and quantifiable approach to understanding and explaining phenomena.

Significance of Research:

The significance of research cannot be overstated, as it serves as the cornerstone of progress and development in various fields. Whether in science, technology, social sciences, or humanities, research is vital in advancing knowledge, addressing problems, and shaping society.

One of the primary significances of research is its ability to expand our understanding and knowledge base. Through rigorous investigation, research uncovers new information, theories, and insights that contribute to the existing body of knowledge. It allows us to delve deeper into complex phenomena, explore uncharted territories, and uncover hidden connections. This expansion of knowledge forms the basis for innovation, development, and the evolution of society.

Research also serves as a powerful tool for problem-solving. It enables us to identify and address pressing issues, whether they are in healthcare, education, economics, or any other field. By systematically examining problems, collecting and analyzing relevant data, and developing evidence-based solutions, research provides the means to overcome challenges and improve existing practices. It empowers us to make informed decisions, develop effective strategies, and allocate resources wisely.

Furthermore, research plays a critical role in informing decision-making processes. Policymakers, business leaders, and organizations rely on research findings to guide their choices, shape policies, and plan for the future. Research provides reliable and credible information, allowing decision-makers to navigate complex issues more confidently and accurately. It serves as a bridge between theory and practice, translating abstract concepts into tangible outcomes that benefit society.

Innovation and improvement are other significant outcomes of research. Research drives innovation by exploring new ideas, pushing boundaries, and challenging established norms. It leads to the developing of new technologies, products, and services that improve our quality of life. Research also fosters improvements in existing practices and processes by identifying inefficiencies, gaps, and areas for enhancement. Through research, we continuously strive to find better, more efficient ways of doing things.

Research has a profound impact on society as a whole. It addresses social issues, informs public policies, and promotes positive social change. Research provides evidence-based solutions that address societal challenges, from healthcare interventions to educational reforms. It influences public opinion, shapes cultural norms, and contributes to communities’ well-being and progress.

Moreover, research plays a crucial role in validating and challenging existing knowledge. It provides empirical evidence that supports or challenges established theories and concepts. Through rigorous scrutiny and critical analysis, research ensures that knowledge constantly evolves, grows, and adapts to new information. It encourages intellectual discourse, promotes healthy skepticism, and encourages a culture of lifelong learning.

References: 

• Kasi, P. (2009). Research: What, Why and How? AuthorHouse.
• Kothari, C. R. (2004). Research Methodology: Methods and Techniques . New Age International.

Related Posts

What is scholarly communication, literature review, patent: an overview, thesaurus construction and its role in indexing, what are bibliometrics, what is content analysis.

Save my name, email, and website in this browser for the next time I comment.

Type above and press Enter to search. Press Esc to cancel.

Research Objectives: The Compass of Your Study

Table of contents

• 1 Definition and Purpose of Setting Clear Research Objectives
• 2 How Research Objectives Fit into the Overall Research Framework
• 3 Types of Research Objectives
• 4 Aligning Objectives with Research Questions and Hypotheses
• 5 Role of Research Objectives in Various Research Phases
• 6.1 Key characteristics of well-defined research objectives
• 6.2 Step-by-Step Guide on How to Formulate Both General and Specific Research Objectives
• 6.3 How to Know When Your Objectives Need Refinement
• 7 Research Objectives Examples in Different Fields
• 8 Conclusion

Embarking on a research journey without clear objectives is like navigating the sea without a compass. This article delves into the essence of establishing precise research objectives, serving as the guiding star for your scholarly exploration.

We will unfold the layers of how the objective of study not only defines the scope of your research but also directs every phase of the research process, from formulating research questions to interpreting research findings. By bridging theory with practical examples, we aim to illuminate the path to crafting effective research objectives that are both ambitious and attainable. Let’s chart the course to a successful research voyage, exploring the significance, types, and formulation of research paper objectives.

Definition and Purpose of Setting Clear Research Objectives

Defining the research objectives includes which two tasks? Research objectives are clear and concise statements that outline what you aim to achieve through your study. They are the foundation for determining your research scope, guiding your data collection methods, and shaping your analysis. The purpose of research proposal and setting clear objectives in it is to ensure that your research efforts are focused and efficient, and to provide a roadmap that keeps your study aligned with its intended outcomes.

To define the research objective at the outset, researchers can avoid the pitfalls of scope creep, where the study’s focus gradually broadens beyond its initial boundaries, leading to wasted resources and time. Clear objectives facilitate communication with stakeholders, such as funding bodies, academic supervisors, and the broader academic community, by succinctly conveying the study’s goals and significance. Furthermore, they help in the formulation of precise research questions and hypotheses, making the research process more systematic and organized. Yet, it is not always easy. For this reason, PapersOwl is always ready to help. Lastly, clear research objectives enable the researcher to critically assess the study’s progress and outcomes against predefined benchmarks, ensuring the research stays on track and delivers meaningful results.

How Research Objectives Fit into the Overall Research Framework

Research objectives are integral to the research framework as the nexus between the research problem, questions, and hypotheses. They translate the broad goals of your study into actionable steps, ensuring every aspect of your research is purposefully aligned towards addressing the research problem. This alignment helps in structuring the research design and methodology, ensuring that each component of the study is geared towards answering the core questions derived from the objectives. Creating such a difficult piece may take a lot of time. If you need it to be accurate yet fast delivered, consider getting professional research paper writing help whenever the time comes. It also aids in the identification and justification of the research methods and tools used for data collection and analysis, aligning them with the objectives to enhance the validity and reliability of the findings.

Furthermore, by setting clear objectives, researchers can more effectively evaluate the impact and significance of their work in contributing to existing knowledge. Additionally, research objectives guide literature review, enabling researchers to focus their examination on relevant studies and theoretical frameworks that directly inform their research goals.

Types of Research Objectives

In the landscape of research, setting objectives is akin to laying down the tracks for a train’s journey, guiding it towards its destination. Constructing these tracks involves defining two main types of objectives: general and specific. Each serves a unique purpose in guiding the research towards its ultimate goals, with general objectives providing the broad vision and specific objectives outlining the concrete steps needed to fulfill that vision. Together, they form a cohesive blueprint that directs the focus of the study, ensuring that every effort contributes meaningfully to the overarching research aims.

• General objectives articulate the overarching goals of your study. They are broad, setting the direction for your research without delving into specifics. These objectives capture what you wish to explore or contribute to existing knowledge.
• Specific objectives break down the general objectives into measurable outcomes. They are precise, detailing the steps needed to achieve the broader goals of your study. They often correspond to different aspects of your research question , ensuring a comprehensive approach to your study.

To illustrate, consider a research project on the impact of digital marketing on consumer behavior. A general objective might be “to explore the influence of digital marketing on consumer purchasing decisions.” Specific objectives could include “to assess the effectiveness of social media advertising in enhancing brand awareness” and “to evaluate the impact of email marketing on customer loyalty.”

Aligning Objectives with Research Questions and Hypotheses

The harmony between what research objectives should be, questions, and hypotheses is critical. Objectives define what you aim to achieve; research questions specify what you seek to understand, and hypotheses predict the expected outcomes.

This alignment ensures a coherent and focused research endeavor. Achieving it necessitates a thoughtful consideration of how each component interrelates, ensuring that the objectives are not only ambitious but also directly answerable through the research questions and testable via the hypotheses. This interconnectedness facilitates a streamlined approach to the research process, enabling researchers to systematically address each aspect of their study in a logical sequence. Moreover, it enhances the clarity and precision of the research, making it easier for peers and stakeholders to grasp the study’s direction and potential contributions.

Role of Research Objectives in Various Research Phases

Throughout the research process, objectives guide your choices and strategies – from selecting the appropriate research design and methods to analyzing data and interpreting results. They are the criteria against which you measure the success of your study. In the initial stages, research objectives inform the selection of a topic, helping to narrow down a broad area of interest into a focused question that can be explored in depth. During the methodology phase, they dictate the type of data needed and the best methods for obtaining that data, ensuring that every step taken is purposeful and aligned with the study’s goals. As the research progresses, objectives provide a framework for analyzing the collected data, guiding the researcher in identifying patterns, drawing conclusions, and making informed decisions.

Crafting Effective Research Objectives

The effective objective of research is pivotal in laying the groundwork for a successful investigation. These objectives clarify the focus of your study and determine its direction and scope. Ensuring that your objectives are well-defined and aligned with the SMART criteria is crucial for setting a strong foundation for your research.

Key characteristics of well-defined research objectives

Well-defined research objectives are characterized by the SMART criteria – Specific, Measurable, Achievable, Relevant, and Time-bound. Specific objectives clearly define what you plan to achieve, eliminating any ambiguity. Measurable objectives allow you to track progress and assess the outcome. Achievable objectives are realistic, considering the research sources and time available. Relevant objectives align with the broader goals of your field or research question. Finally, Time-bound objectives have a clear timeline for completion, adding urgency and a schedule to your work.

Step-by-Step Guide on How to Formulate Both General and Specific Research Objectives

So lets get to the part, how to write research objectives properly?

• Understand the issue or gap in existing knowledge your study aims to address.
• Gain insights into how similar challenges have been approached to refine your objectives.
• Articulate the broad goal of research based on your understanding of the problem.
• Detail the specific aspects of your research, ensuring they are actionable and measurable.

How to Know When Your Objectives Need Refinement

Your objectives of research may require refinement if they lack clarity, feasibility, or alignment with the research problem. If you find yourself struggling to design experiments or methods that directly address your objectives, or if the objectives seem too broad or not directly related to your research question, it’s likely time for refinement. Additionally, objectives in research proposal that do not facilitate a clear measurement of success indicate a need for a more precise definition. Refinement involves ensuring that each objective is specific, measurable, achievable, relevant, and time-bound, enhancing your research’s overall focus and impact.

Research Objectives Examples in Different Fields

The application of research objectives spans various academic disciplines, each with its unique focus and methodologies. To illustrate how the objectives of the study guide a research paper across different fields, here are some research objective examples:

• In Health Sciences , a research aim may be to “determine the efficacy of a new vaccine in reducing the incidence of a specific disease among a target population within one year.” This objective is specific (efficacy of a new vaccine), measurable (reduction in disease incidence), achievable (with the right study design and sample size), relevant (to public health), and time-bound (within one year).
• In Environmental Studies , the study objectives could be “to assess the impact of air pollution on urban biodiversity over a decade.” This reflects a commitment to understanding the long-term effects of human activities on urban ecosystems, emphasizing the need for sustainable urban planning.
• In Economics , an example objective of a study might be “to analyze the relationship between fiscal policies and unemployment rates in developing countries over the past twenty years.” This seeks to explore macroeconomic trends and inform policymaking, highlighting the role of economic research study in societal development.

These examples of research objectives describe the versatility and significance of research objectives in guiding scholarly inquiry across different domains. By setting clear, well-defined objectives, researchers can ensure their studies are focused and impactful and contribute valuable knowledge to their respective fields.

Defining research studies objectives and problem statement is not just a preliminary step, but a continuous guiding force throughout the research journey. These goals of research illuminate the path forward and ensure that every stride taken is meaningful and aligned with the ultimate goals of the inquiry. Whether through the meticulous application of the SMART criteria or the strategic alignment with research questions and hypotheses, the rigor in crafting and refining these objectives underscores the integrity and relevance of the research. As scholars venture into the vast terrains of knowledge, the clarity, and precision of their objectives serve as beacons of light, steering their explorations toward discoveries that advance academic discourse and resonate with the broader societal needs.

Readers also enjoyed

WHY WAIT? PLACE AN ORDER RIGHT NOW!

Just fill out the form, press the button, and have no worries!

We use cookies to give you the best experience possible. By continuing we’ll assume you board with our cookie policy.

• Defining Research Objectives: How To  Write Them

Almost all industries use research for growth and development. Research objectives are how researchers ensure that their study has direction and makes a significant contribution to growing an industry or niche.

Research objectives provide a clear and concise statement of what the researcher wants to find out. As a researcher, you need to clearly outline and define research objectives to guide the research process and ensure that the study is relevant and generates the impact you want.

In this article, we will explore research objectives and how to leverage them to achieve successful research studies.

What Are Research Objectives?

Research objectives are what you want to achieve through your research study. They guide your research process and help you focus on the most important aspects of your topic.

You can also define the scope of your study and set realistic and attainable study goals with research objectives. For example, with clear research objectives, your study focuses on the specific goals you want to achieve and prevents you from spending time and resources collecting unnecessary data.

However, sticking to research objectives isn’t always easy, especially in broad or unconventional research. This is why most researchers follow the SMART criteria when defining their research objectives.

Understanding SMART Criteria in Research

Think of research objectives as a roadmap to achieving your research goals, with the SMART criteria as your navigator on the map.

SMART stands for Specific, Measurable, Achievable, Relevant, and Time-bound. These criteria help you ensure that your research objectives are clear, specific, realistic, meaningful, and time-bound.

Here’s a breakdown of the SMART Criteria:

Specific : Your research objectives should be clear: what do you want to achieve, why do you want to achieve it, and how do you plan to achieve it? Avoid vague or broad statements that don’t provide enough direction for your research.

Measurable : Your research objectives should have metrics that help you track your progress and measure your results. Also, ensure the metrics are measurable with data to verify them.

Achievable : Your research objectives should be within your research scope, timeframe, and budget. Also, set goals that are challenging but not impossible.

Relevant: Your research objectives should be in line with the goal and significance of your study. Also, ensure that the objectives address a specific issue or knowledge gap that is interesting and relevant to your industry or niche.

Time-bound : Your research objectives should have a specific deadline or timeframe for completion. This will help you carefully set a schedule for your research activities and milestones and monitor your study progress.

Characteristics of Effective Research Objectives

Clarity : Your objectives should be clear and unambiguous so that anyone who reads them can understand what you intend to do. Avoid vague or general terms that could be taken out of context.

Specificity : Your objectives should be specific and address the research questions that you have formulated. Do not use broad or narrow objectives as they may restrict your field of research or make your research irrelevant.

Measurability : Define your metrics with indicators or metrics that help you determine if you’ve accomplished your goals or not. This will ensure you are tracking the research progress and making interventions when needed.

Also, do use objectives that are subjective or based on personal opinions, as they may be difficult to accurately verify and measure.

Achievability : Your objectives should be realistic and attainable, given the resources and time available for your research project. You should set objectives that match your skills and capabilities, they can be difficult but not so hard that they are realistically unachievable.

For example, setting very difficult make you lose confidence, and abandon your research. Also, setting very simple objectives could demotivate you and prevent you from closing the knowledge gap or making significant contributions to your field with your research.

Relevance : Your objectives should be relevant to your research topic and contribute to the existing knowledge in your field. Avoid objectives that are unrelated or insignificant, as they may waste your time or resources.

Time-bound : Your objectives should be time-bound and specify when you will complete them. Have a realistic and flexible timeframe for achieving your objectives, and track your progress with it. 

Steps to Writing Research Objectives

Identify the research questions.

The first step in writing effective research objectives is to identify the research questions that you are trying to answer. Research questions help you narrow down your topic and identify the gaps or problems that you want to address with your research.

For example, if you are interested in the impact of technology on children’s development, your research questions could be:

• What is the relationship between technology use and academic performance among children?
• Are children who use technology more likely to do better in school than those who do not?
• What is the social and psychological impact of technology use on children?

Brainstorm Objectives

Once you have your research questions, you can brainstorm possible objectives that relate to them. Objectives are more specific than research questions, and they tell you what you want to achieve or learn in your research.

You can use verbs such as analyze, compare, evaluate, explore, investigate, etc. to express your objectives. Also, try to generate as many objectives as possible, without worrying about their quality or feasibility at this stage.

Prioritize Objectives

Once you’ve brainstormed your objectives, you’ll need to prioritize them based on their relevance and feasibility. Relevance is how relevant the objective is to your research topic and how well it fits into your overall research objective.

Feasibility is how realistic and feasible the objective is compared to the time, money, and expertise you have. You can create a matrix or ranking system to organize your objectives and pick the ones that matter the most.

Refine Objectives

The next step is to refine and revise your objectives to ensure clarity and specificity. Start by ensuring that your objectives are consistent and coherent with each other and with your research questions. 

Make Objectives SMART

A useful way to refine your objectives is to make them SMART, which stands for specific, measurable, achievable, relevant, and time-bound. 

• Specific : Objectives should clearly state what you hope to achieve.
• Measurable : They should be able to be quantified or evaluated.
• Achievable : realistic and within the scope of the research study.
• Relevant : They should be directly related to the research questions.
• Time-bound : specific timeframe for research completion.

Review and Finalize Objectives

The final step is to review your objectives for coherence and alignment with your research questions and aim. Ensure your objectives are logically connected and consistent with each other and with the purpose of your study.

You also need to check that your objectives are not too broad or too narrow, too easy or too hard, too many or too few. You can use a checklist or a rubric to evaluate your objectives and make modifications.

Examples of Well-Written Research Objectives

Example 1- Psychology

Research question: What are the effects of social media use on teenagers’ mental health?

Objective : To determine the relationship between the amount of time teenagers in the US spend on social media and their levels of anxiety and depression before and after using social media.

What Makes the Research Objective SMART?

The research objective is specific because it clearly states what the researcher hopes to achieve. It is measurable because it can be quantified by measuring the levels of anxiety and depression in teenagers. 

Also, the objective is achievable because the researcher can collect enough data to answer the research question. It is relevant because it is directly related to the research question. It is time-bound because it has a specific deadline for completion.

Example 2- Marketing

Research question : How can a company increase its brand awareness by 10%?

Objective : To develop a marketing strategy that will increase the company’s sales by 10% within the next quarter.

How Is this Research Objective SMART?

The research states what the researcher hopes to achieve ( Specific ). You can also measure the company’s reach before and after the marketing plan is implemented ( Measurable ).

The research objective is also achievable because you can develop a marketing plan that will increase awareness by 10% within the timeframe. The objective is directly related to the research question ( Relevant ). It is also time-bound because it has a specific deadline for completion.

Research objectives are a well-designed roadmap to completing and achieving your overall research goal. 

However, research goals are only effective if they are well-defined and backed up with the best practices such as the SMART criteria. Properly defining research objectives will help you plan and conduct your research project effectively and efficiently.

Connect to Formplus, Get Started Now - It's Free!

• research goals
• research objectives
• research roadmap
• smart goals
• SMART research objectives
• Moradeke Owa

You may also like:

Subgroup Analysis: What It Is + How to Conduct It

Introduction Clinical trials are an integral part of the drug development process. They aim to assess the safety and efficacy of a new...

Desk Research: Definition, Types, Application, Pros & Cons

If you are looking for a way to conduct a research study while optimizing your resources, desk research is a great option. Desk research...

Projective Techniques In Surveys: Definition, Types & Pros & Cons

Introduction When you’re conducting a survey, you need to find out what people think about things. But how do you get an accurate and...

Research Summary: What Is It & How To Write One

Introduction A research summary is a requirement during academic research and sometimes you might need to prepare a research summary...

Formplus - For Seamless Data Collection

Collect data the right way with a versatile data collection tool. try formplus and transform your work productivity today..

Research Objectives

Ai generator.

Research objectives are specific goals or purposes that guide a study or investigation. They are clearly defined statements that outline what the researcher aims to achieve through their research . These objectives help to focus the study, provide direction, and establish the scope of the research design . They typically include the main questions or problems the research seeks to address and are essential for designing the methodology, data collection, and analysis processes. By defining research objectives , researchers can ensure their study remains on track and addresses the key issues relevant to their topic.

What Are Research Objectives?

Research objectives are clear, specific goals that guide a study’s direction and scope. They outline what the researcher aims to achieve, helping to focus the research, design methodologies, and guide data collection and analysis. These objectives ensure the research stays on track and addresses key issues relevant to the topic.

Examples of Research Objectives

• To determine the impact of social media on adolescent mental health.
• To analyze the effectiveness of online learning platforms in primary education.
• To investigate the relationship between diet and cognitive function in adults.
• To assess customer satisfaction with a new product line.
• To explore the effects of climate change on local agriculture.
• To identify key factors influencing employee job satisfaction in the tech industry.
• To evaluate the success of a community health intervention program.
• To compare the environmental benefits of electric vs. hybrid vehicles.
• To examine the role of leadership styles in organizational performance.
• To measure the economic impact of tourism in a specific region.

Examples of Qualitative Research Objectives

• To explore the experiences of patients undergoing chronic pain management.
• To understand the perceptions of teachers on the integration of technology in the classroom.
• To investigate the motivations behind volunteerism in community service organizations.
• To examine the cultural influences on dietary habits among immigrant families.
• To assess the impact of workplace culture on employee morale in remote teams.
• To identify the challenges faced by first-generation college students in higher education.
• To analyze the role of social support networks in the lives of single parents.
• To study the decision-making processes of consumers when choosing organic products.
• To explore the lived experiences of individuals recovering from addiction.
• To understand the factors influencing career choices among high school students.

Examples of Research Objectives in a Research Proposal

• To investigate the effects of social media usage on high school students’ academic performance.
• To explore the relationship between work-life balance and job satisfaction among healthcare professionals.
• To assess the impact of urban green spaces on residents’ mental health in metropolitan areas.
• To analyze the effectiveness of bilingual education programs in enhancing language proficiency among elementary students.
• To determine the influence of corporate social responsibility initiatives on consumer loyalty in the retail industry.
• To examine the role of leadership styles in fostering innovation within technology startups.
• To identify barriers to accessing healthcare services in rural communities.
• To evaluate the success of digital marketing strategies in small businesses.
• To understand the factors affecting voter turnout in local elections.
• To study the impact of remote work on team collaboration and productivity in the IT sector.

Research Objectives in Business

• To evaluate the effectiveness of digital marketing strategies in increasing online sales.
• To analyze customer satisfaction levels with the company’s new product line.
• To investigate the impact of employee training programs on productivity.
• To determine the key factors influencing consumer purchasing decisions in the retail industry.
• To assess the role of corporate social responsibility in enhancing brand reputation.
• To explore the relationship between workplace diversity and employee performance.
• To examine the effects of remote work on team collaboration and company culture.
• To identify market trends and opportunities for business expansion in emerging markets.
• To study the influence of pricing strategies on customer retention and loyalty.
• To measure the impact of leadership styles on organizational innovation and growth.

Why are Research Objectives Important?

Research objectives are crucial because they provide clear direction and focus for a study, ensuring that the research stays on track and addresses the specific goals set by the researcher. They help in the formulation of research questions and the design of the methodology, guiding data collection and analysis processes. Well-defined objectives make it easier to measure the study’s success and ensure that the findings are relevant and meaningful. They also enhance the credibility and reliability of the research by outlining a precise plan, making it easier for others to understand and replicate the study.

Importance of Research Objectives

• Provide Clarity and Focus: Research objectives clearly outline what the study aims to achieve, helping to narrow down the scope and maintain a clear direction throughout the research process.
• Guide Research Design: They help in formulating research questions and determining the most appropriate methodology, ensuring that data collection and analysis are aligned with the study’s goals.
• Ensure Relevance: Well-defined objectives ensure that the research addresses specific, relevant issues, making the findings more meaningful and applicable.
• Measure Success: They provide benchmarks against which the success of the study can be measured, making it easier to assess whether the research has achieved its intended goals.
• Enhance Credibility: Clearly stated objectives enhance the credibility and reliability of the research by demonstrating a systematic and organized approach.

Types of Research Objectives

1. Descriptive Objectives

Descriptive objectives aim to describe the characteristics or functions of a particular phenomenon or population. These objectives focus on answering the “what” aspect of research. Example : To describe the demographic characteristics of smartphone users in the United States.

2. Exploratory Objectives

Exploratory objectives aim to explore new areas where little information is available. They seek to gain insights and familiarize the researcher with the subject area. Example : To explore the potential factors influencing consumer preferences for electric vehicles.

3. Explanatory Objectives

Explanatory objectives aim to explain the relationships or causality between variables. These objectives focus on understanding the “why” and “how” aspects of research. Example : To explain the relationship between social media usage and academic performance among college students.

4. Predictive Objectives

Predictive objectives aim to predict the future trends, behaviors, or outcomes based on current data or trends. These objectives are used to forecast and anticipate future scenarios. Example : To predict the impact of climate change on agricultural productivity over the next decade.

5. Evaluative Objectives

Evaluative objectives aim to assess the effectiveness or impact of an intervention, program, or policy. These objectives focus on determining the success or value of something. Example : To evaluate the effectiveness of a new employee training program on job performance.

Characteristics of Research Objectives

Research objectives are crucial components of any study as they define the purpose and goals of the research. Well-crafted research objectives provide clarity, direction, and focus to the study. Here are the key characteristics of research objectives:

1. Specific

Research objectives should be clear and precise, leaving no room for ambiguity. They should clearly state what the research intends to achieve. Example: Specific Objective: “To determine the impact of social media marketing on consumer purchasing decisions.”

2. Measurable

Objectives should be quantifiable, allowing researchers to assess the extent to which they have been achieved. This involves using metrics or indicators that can be measured. Example: Measurable Objective: “To measure the increase in sales by 15% after implementing a social media marketing campaign.”

3. Achievable

The objectives should be realistic and attainable within the scope and resources of the study. Setting achievable goals ensures that the research can be completed successfully. Example: Achievable Objective: “To survey 500 consumers within a three-month period to understand their social media usage patterns.”

4. Relevant

Objectives must be relevant to the research problem and aligned with the overall purpose of the study. They should address the key issues and contribute to solving the research problem. Example: Relevant Objective: “To analyze the relationship between social media engagement and brand loyalty among teenagers.”

5. Time-bound

Objectives should have a clear timeframe within which they are to be achieved. This helps in planning and maintaining the research schedule. Example: Time-bound Objective: “To complete data collection within six months and publish findings within one year.”

How to write Research Objectives?

1. identify the research problem.

• Clearly define the research problem.
• Understand the main issue or question you want to address.

2. Conduct a Literature Review

• Review existing literature to understand what has already been done in the field.
• Refine your research problem and identify gaps.

3. Define the Scope of Your Study

• Determine the boundaries of your research.
• Specify what aspects of the problem you will address and what you will exclude.

4. Formulate Specific Questions

• Break down your research problem into specific, clear, and focused questions.

5. Use Action Verbs

• Use specific action verbs such as “analyze,” “determine,” “evaluate,” “explore,” and “compare” to articulate your aims.

6. Be Clear and Concise

• Ensure your objectives are clear, concise, and easy to understand.
• Avoid ambiguous language and make each objective specific and measurable.

7. Align with Research Goals

• Ensure that your objectives are aligned with the overall goals of your research.
• Each objective should contribute to achieving these goals.

8. Prioritize Objectives

• List your objectives in order of importance.
• Focus on primary objectives first, followed by secondary ones.

9. Ensure Feasibility

• Make sure your objectives are realistic and achievable within the scope of your resources, time, and capabilities.

10. Review and Refine

• Review your objectives to ensure they are comprehensive and cover all aspects of your research problem.
• Refine them as necessary for clarity and focus.

Advantages and Disadvantages of Research Objectives

Advantages of research objectives.

• Clarity and Focus Objectives provide a clear direction, helping you stay on track. Example: “To study the impact of social media on teenagers’ mental health” keeps your research focused on a specific topic.
• Guidance for Methodology They help in choosing the right methods and tools for your research. Example: “To test the effectiveness of new teaching methods” suggests using experiments and tests.
• Measurement and Evaluation Objectives make it easy to measure success. Example: “To improve test scores by 15% with a new teaching method” provides a clear goal to aim for.
• Resource Allocation They ensure efficient use of time, money, and effort. Example: If your objective is “To survey 500 people,” you can plan your resources accordingly.
• Communication Objectives help explain your research to others. Example: Clear objectives can be shared in grant proposals to get funding.

Disadvantages of Research Objectives

• Rigidity Objectives can be too rigid, limiting flexibility. Example: If new data shows something unexpected, a fixed objective might stop you from exploring it.
• Over-Simplification They might oversimplify complex issues. Example: “To study the effect of diet on health” might ignore the many factors that influence health.
• Bias Introduction Specific objectives can lead to focusing too narrowly. Example: Studying only the positive effects of a new drug might overlook side effects.
• Pressure to Achieve They can create pressure to meet specific outcomes, risking research integrity. Example: You might feel pressured to show that a new teaching method works, even if it doesn’t.
• Resource Constraints Some objectives may require more resources than available. Example: “To survey 1,000 people” might be hard if you have limited funds.

FAQ’s

Why are research objectives important.

Research objectives provide direction and focus for the study, ensuring that the research stays on track and addresses relevant questions.

How do you formulate research objectives?

Formulate research objectives by identifying key questions your research aims to answer, ensuring they are specific, measurable, achievable, relevant, and time-bound (SMART).

What is the difference between research objectives and research questions?

Research objectives outline the goals of the study, while research questions specify what the researcher aims to find out.

Can research objectives change during the study?

Yes, research objectives can be refined or adjusted as the study progresses, especially if new insights emerge.

How many research objectives should a study have?

The number of research objectives depends on the scope of the study but typically ranges from two to five.

How do research objectives relate to hypotheses?

Research objectives guide the study, while hypotheses are testable predictions derived from these objectives.

Can research objectives be qualitative or quantitative?

Yes, research objectives can be either qualitative, focusing on understanding phenomena, or quantitative, focusing on measuring variables.

How do you prioritize research objectives?

Prioritize research objectives based on their relevance to the research problem and feasibility within the study’s constraints.

What role do research objectives play in a literature review?

Research objectives help structure the literature review, guiding the selection of relevant studies and identifying gaps in existing research.

How do research objectives influence data collection?

Research objectives determine the type of data needed and the appropriate methods for collecting this data.

Text prompt

• Instructive
• Professional

10 Examples of Public speaking

20 Examples of Gas lighting

Marketing91

What are the Research Objectives? Types, Examples & How to Write Them

September 19, 2023 | By Hitesh Bhasin | Filed Under: Marketing

Accurate and well-defined research objectives lay the foundation of any successful research project. These objectives serve as a compass, guiding researchers on the path they need to follow in their research journey. They provide clarity, narrowing down the broad research question into manageable, focused tasks.

Consider, for example , a research project aimed at studying the impact of social media usage on student performance. Instead of a broad, vague aim, the research objectives could be:

• To assess the daily social media usage among high school students
• To measure academic performance via GPA
• To investigate the correlation between social media usage and academic performance.

These objectives provide a clear, unambiguous direction, facilitating a focused and effective research process .

Table of Contents

What are the Research Objectives?

Research objectives are specific, measurable goals that a researcher aims to achieve through their study. They guide the direction of the research, determining the data needed and the analysis methods to be employed. Essentially, they are the steps that lead the researcher towards the fulfillment of their overall research aim.

It’s important to ensure that research objectives are SMART – that is, Specific, Measurable, Achievable, Relevant, and Time-bound. Doing so allows for clearer communication of the project intentions and better management of resources by ensuring that every aspect of the research stays on track.

Why are Research Objectives Important?

The creation of research objectives is a critical initial step in the research process. It not only provides a clear direction for the study but also allows for a systematic approach, increasing the overall efficiency and effectiveness of the research. Some of the reasons why research objectives are important:

• Clarity: A research objective provides a clear understanding of what the study aims to achieve.
• Focus: They help maintain the focus of the research by defining the scope of the study.
• Feasibility: They ensure that the research is manageable by breaking down the study into smaller, achievable tasks.
• Evaluation: They allow for the assessment of the research process and the outcomes by providing measurable goals.

Types of Research Objectives

• Exploratory Objectives: These objectives aim to delve into a research topic to gain a deeper understanding of it, typically used in research areas that are not well explored. They involve conducting preliminary investigations and gathering initial insights.
• Descriptive Objectives: These objectives focus on providing a detailed account of a phenomenon or characteristic. They seek to describe and document the features, attributes, and characteristics of the subject under study.
• Explanatory Objectives: Explanatory objectives seek to interpret phenomena by illustrating the cause-and-effect relationship. They aim to explain why certain events or phenomena occur and uncover the underlying mechanisms or processes involved.
• Predictive Objectives: These objectives aim to predict outcomes or future occurrences based on identified patterns. They involve analyzing historical data and developing models to forecast future trends or events.
• Evaluative Objectives: Evaluative objectives focus on judging the effectiveness or impact of a certain program or method. They aim to assess the success or failure of an intervention and provide recommendations for improvement.
• Prescriptive Objectives: Prescriptive objectives aim to provide recommendations based on the research findings. They involve suggesting actions or solutions based on the analysis and interpretation of the data.
• Diagnostic Objectives: These objectives are set to identify the causes of a certain phenomenon or problem. They aim to investigate the root causes and factors contributing to a particular issue.
• Comparative Objectives: Comparative objectives involve comparing two or more groups or variables to identify differences or similarities. They aim to analyze and contrast the characteristics and outcomes of different groups or variables.
• Historical Objectives: These objectives involve the study of past events to understand present conditions or predict future outcomes. They aim to examine historical records and events to gain insights into the context and factors that have shaped the present.
• Ethnographic Objectives: Ethnographic objectives involve studying a culture or social group in detail to understand its practices, behaviors, and beliefs. They aim to immerse themselves in the community, observe their customs, and document their way of life.
• Action-oriented Objectives: These objectives aim to bring about a specific change through the research. They focus on identifying actionable steps and interventions that can lead to desired outcomes.
• Conceptual Objectives: Conceptual objectives are set to define concepts or ideas that are central to the research. They aim to clarify and establish the theoretical framework and key terms used in the study.
• Methodological Objectives: These objectives focus on developing or improving research methods or tools. They aim to enhance the reliability, validity, and efficiency of data collection and analysis techniques.
• Theoretical Objectives: These objectives aim to develop, expand, or verify theories related to the research topic. They involve refining existing theories or proposing new conceptual frameworks based on empirical evidence.
• Measurement Objectives: Measurement objectives involve developing or improving measurement tools or techniques. They aim to ensure accurate and reliable data collection by refining measurement instruments or procedures.
• Design Objectives: These objectives focus on planning the structure of a research study. They involve determining the research design , sampling strategy , data collection methods, and analytical approaches.
• Sampling Objectives: Sampling objectives involve determining the appropriate sample size or selecting the appropriate sample for the research. They aim to ensure that the selected sample is representative of the population under study and yields valid and generalizable results.

How to Write Research Objectives

To develop research objectives, it is important to follow some of the key steps such as:

1) Clearing the Fog: Know Your General Research Aims

Research aims refer to the overarching goals or ambitions of your study. They describe what you wish to achieve through your research and provide a broad overview of the expected outcomes. The research aims to set the direction for your research and establish a roadmap that guides your study from start to finish.

2) Going Deeper: What are Specific Research Objectives?

Specific research objectives break down the main research aim into smaller, manageable parts. These objectives are concrete, measurable, and achievable goals that guide your research efforts. They focus on specific aspects of the research aim and provide a clear path to achieve it.

3) Mastering the Art: How to Formulate Your Research Aims and Objectives

Formulating your research aims and objectives is a critical step in conducting a successful research project. It involves translating your research question into a clear, concise aim that outlines the purpose of your study. From the research aim, specific objectives are then developed that provide a roadmap for your research. Each objective focuses on a particular aspect of the research aim, guiding the study’s various stages including data collection, analysis, and interpretation.

4) Bridging the Gap: How to Develop Research Objectives

Developing research objectives involves identifying the specific steps needed to achieve your research aims. These objectives should be SMART – Specific, Measurable, Achievable, Relevant, and Time-bound. The process involves precise planning, a thorough literature review, and a deep understanding of the research problem.

5) Detective’s Journey: How Research Objectives Focus Your Study

Research objectives focus your study by providing a clear direction and framework. They serve as a compass, guiding your research methods, analysis, and eventual conclusions. These objectives help you stay on track, prevent deviation from the research aims, and ensure that you address all the key aspects of your research problem.

Creating SMART Research Objectives

When formulating research objectives, it is important to make sure they are SMART – Specific, Measurable, Achievable, Relevant, and Time-bound. All these aspects help guide the researcher in developing a clear roadmap for their study.

• Specific: Research objectives should be precise and focused. They should clearly define the purpose of the study, including what is to be studied and why.
• Measurable: Research objectives should provide a way for you to measure your progress and assess whether or not you are on track with achieving your research aims.
• Achievable: The objectives of a study should realistically reflect the resources available and the skills of the researcher.
• Relevant: Research objectives should be relevant to answer the research questions and hypotheses, helping to address the problem being studied.
• Time-bound: Research objectives must have a deadline so that you can accurately measure progress and success over time.

Crafting Research Questions from Objectives

Research objectives provide the basis for crafting your research questions. When formulating research questions, they should keep in mind the SMART criteria and ensure that each question is framed in a way that allows it to be answered through data collection and analysis.

Research objectives are often broken down into smaller specific objectives which help guide the development of research questions. These individual objectives can then be used as the basis for developing research questions, which should be focused on gathering relevant information to answer the overall objectives of the study.

Some of the examples of research questions are:

• What methods can be used to measure the effectiveness of educational programs?
• How does access to healthcare affect outcomes for underserved communities?
• What are the factors that contribute to poverty in urban areas?

These types of questions should be specific enough to provide meaningful information, but broad enough that they can be answered through data and analysis. When crafting research questions, it is important to keep in mind the overall aim of the research project and how the data collected will help address the objectives.

Tips for Writing Research Objectives

Writing research objectives can be a daunting task, but some tips can make the process easier. Let’s have a look at some of the best practices for writing research objectives while conducting research:

1) Establish a clear purpose

Before even beginning the process of drafting research objectives, it is important to have a clear understanding of the primary aim and purpose of the research project. This will help ensure that research questions are focused on the right topic and can be answered through data collection and analysis.

2) Break down into smaller specific objectives

Breaking down objectives into smaller specific objectives can help direct the focus of research efforts and ensure that all relevant information is gathered. This will also make it easier to evaluate the success of the project, as each specific objective can be judged on its merit.

3) Be concise

Research objectives should be precise and concise. Long, rambling statements can easily become confusing and detract from the focus of the project. Keep each objective to just one sentence that outlines the aim of the research.

4) Focus on measurable outcomes

When writing research objectives, it is important to ensure that they can be measured in some way, so that the success of the project can be evaluated. This can include anything from assessing employee perceptions to collecting sales data.

5) Make sure objectives are achievable

When writing research objectives, it’s important to make sure that they are realistic and achievable. It’s important to be aware of the resources available, as well as any restrictions or limitations that might impact the project. This will help you determine whether your objectives are feasible. Additionally, it’s important to ensure that each objective is clear and concise so there is no room for misunderstanding.

Examples of Research Objectives

There are several different types of research objectives, but here are some examples to give you an idea of what well-crafted objectives might look like:

• To assess employee perceptions of working at Company X and identify areas for improved job satisfaction .
• To collect quantitative data on the success of Company X’s new product launch.
• To determine customer opinion of Company X’s services and identify opportunities for improvement.
• To evaluate the impact of Company X’s branding strategy on consumer loyalty.
• To assess public attitudes towards Company X and its environmental policies.
• To determine how Company X can better meet customer needs and improve customer service .

By creating clear, concise research objectives based on measurable outcomes, you can ensure that your research project is focused and successful. With the right direction, research projects can be incredibly valuable for any business or organization.

1) What is the research objective?

Research objectives are specific, measurable goals that a research project seeks to achieve. They provide direction for the research and help ensure that it is focused and productive.

2) What should be included in a research objective?

When writing research objectives, it is important to make sure that they are clear, concise, and relevant to the overall goal of the research project. They should include what data needs to be collected, the specific outcomes of the research, and any other relevant information that will help ensure success.

3) What is the difference between research hypothesis , research paper , and research objectives?

A research hypothesis is an educated guess or statement of what a researcher believes may be true based on the available evidence. A research paper is a formal document that outlines the findings of a research project. Research objectives are specific goals for the research project, such as collecting data or measuring outcomes. While all three terms are related, they differ in their purpose and use.

4) What is the difference between research aims and research objectives?

Research aims are broad goals that a research project seeks to achieve, whereas research objectives are specific, measurable goals. Research aims provide direction for the research and help ensure that it is focused and productive. Research objectives are concrete steps that need to be taken to reach the broader goal of the research project.

5) How do you write a research objective?

Writing research objectives involves identifying the specific goals of a research project and articulating them clearly and concisely. This should include what data needs to be collected, the specific outcomes of the research, and any other relevant information that will help ensure success. Additionally, when formulating research objectives it is important to keep in mind how they relate to the overall goal of the project.

Liked this post? Check out the complete series on Market research

Related posts:

• How to Write Research Proposal? Research Proposal Format
• How to write a Research Question? Types and Tips
• What is a Research Hypothesis And How to Write it?
• What is a Research Statement and How to Write it
• What is Survey Research? Objectives, Sampling Process, Types and Advantages
• 11 Objectives of Advertising – What are Advertising Objectives?
• Secondary Research – Meaning, Objectives, Process, Pros and Cons
• 7 Key Differences between Research Method and Research Methodology
• Qualitative Research: Meaning, and Features of Qualitative Research
• Research Ethics – Importance and Principles of Ethics in Research

About Hitesh Bhasin

Hitesh Bhasin is the CEO of Marketing91 and has over a decade of experience in the marketing field. He is an accomplished author of thousands of insightful articles, including in-depth analyses of brands and companies. Holding an MBA in Marketing, Hitesh manages several offline ventures, where he applies all the concepts of Marketing that he writes about.

All Knowledge Banks (Hub Pages)

• Marketing Hub
• Management Hub
• Marketing Strategy
• Advertising Hub
• Branding Hub
• Market Research
• Small Business Marketing
• Sales and Selling
• Marketing Careers
• Internet Marketing
• Business Model of Brands
• Marketing Mix of Brands
• Brand Competitors
• Strategy of Brands
• SWOT of Brands
• Customer Management
• Top 10 Lists

well, am going to write a research paper ” the future of online teaching and learning in higher education ” in particular my university so, what are my objectives going t be ??

i am interested too

Very educated

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

• About Marketing91
• Marketing91 Team
• Privacy Policy
• Cookie Policy
• Terms of Use
• Editorial Policy

WE WRITE ON

• Digital Marketing
• Human Resources
• Operations Management
• Marketing News
• Marketing mix's
• Competitors

Ultimate Guide to the 7 Types of Research: Definitions, Examples, Advantages and Limitations!

About the article : different types of research.

Research is a fundamental aspect of any field of study, providing a systematic approach to gather and analyze information. It plays a crucial role in expanding knowledge, solving problems, and making informed decisions. Understanding the different types of research is essential for researchers to choose the most appropriate method for their study.

In this article, we will explore the various types of research methods commonly used in academic and professional settings. Each type of research has its own unique characteristics, strengths, and limitations. By gaining a comprehensive understanding of these research types, researchers can effectively design and conduct their studies to achieve their objectives.

Exploratory Research

Exploratory research is a type of research that is used to investigate a problem that is not clearly defined and gain a better understanding of the existing problem. It is often conducted when a researcher has just begun an investigation and wishes to understand the topic generally.

There are two main methods of conducting exploratory research: primary research and secondary research. Primary research involves collecting new data directly from the source, while secondary research involves analyzing existing data that has already been collected by others.

Under these two broad types, various methods can be employed to gather information. These methods include surveys, interviews , focus groups, observations, and case studies. Each method has its own advantages and disadvantages, and the choice of method depends on the nature of the research question and the available resources.

Exploratory research is valuable because it helps researchers gain insights and generate hypotheses for further investigation. It allows them to explore new areas of study and discover potential relationships between variables. However, it is important to note that exploratory research does not provide definitive answers or conclusive results. Instead, it lays the foundation for more in-depth research and helps researchers refine their research questions and methodologies.

Descriptive Research

Descriptive research is a methodological approach that seeks to depict the characteristics of a phenomenon or subject under investigation. It involves observing and measuring without manipulating variables, allowing researchers to identify characteristics, trends, and correlations. The main goal of descriptive research is to provide a detailed description of the population or phenomenon being studied. This type of research focuses on answering questions such as how, what, when, and where.

There are three basic approaches for gathering data in descriptive research: observational, case study, and survey. Observational research involves observing and recording behavior in its natural setting. Case study research involves in-depth analysis of a single individual, group, or situation. Survey research involves collecting data from a sample of individuals through questionnaires or interviews.

Descriptive research is particularly useful when researchers want to describe specific behaviors, characteristics, or trends as they occur in the environment. It provides a foundation for further research and can help generate hypotheses for future studies.

However, one limitation of descriptive research is that it does not establish causal relationships between variables. It can only provide a snapshot of the current state of the population or phenomenon being studied. Despite this limitation, descriptive research plays a crucial role in understanding and describing various aspects of the world around us.

Experimental Research

Experimental research is a quantitative research method with a scientific approach. It is the most familiar type of research design for individuals in the physical sciences and a host of other fields. This type of research design is popular in scientific experiments, social sciences, medical science, etc. Experimental research involves manipulating one or more variables to observe the effect on another variable. It aims to establish cause-and-effect relationships between variables. The researcher carefully controls and manipulates the independent variable(s) while measuring the dependent variable(s).

There are two broad categories of experimental research designs: true experimental designs and quasi-experimental designs. True experimental designs involve random assignment of participants to different groups and manipulation of the independent variable. Quasi-experimental designs lack random assignment but still involve manipulation of the independent variable.

One advantage of experimental research is its ability to establish causal relationships. By manipulating variables and controlling extraneous factors, researchers can determine whether changes in the independent variable(s) cause changes in the dependent variable(s). This allows for a more confident understanding of cause and effect.

Another advantage of experimental research is its versatility. It can be used in various fields and disciplines, allowing researchers to investigate a wide range of phenomena. Whether it’s testing the effectiveness of a new drug, studying the impact of different teaching methods, or exploring the relationship between variables, experimental research provides a powerful tool for scientific inquiry.

However, experimental research also has some limitations. One limitation is the potential for artificiality. In a controlled laboratory setting, variables may be manipulated in a way that does not fully reflect real-world conditions. This can limit the generalizability of the findings to real-life situations. Additionally, experimental research may face ethical considerations. Manipulating variables and potentially exposing participants to certain conditions can raise ethical concerns. Researchers must ensure that the benefits of the study outweigh any potential risks or harm to participants.

Correlational Research

Correlational research is a type of non-experimental research that focuses on observing and measuring the relationship between two or more variables. Unlike experimental research, the researcher does not control or manipulate the variables in correlational research. The main purpose of correlational research is to determine if there is a statistical relationship between the variables being studied. It involves comparing two variables and data sources, assessing the relationship between them, and identifying any trends or patterns.

There are several types of correlational studies that can be conducted. One type is positive correlation, which occurs when an increase in one variable is associated with an increase in another variable. For example, there may be a positive correlation between income and education level, meaning that as income increases, education level also tends to increase.

On the other hand, negative correlation refers to a relationship where an increase in one variable is associated with a decrease in another variable. An example of negative correlation could be the relationship between hours spent studying and test scores. As the number of hours spent studying increases, test scores tend to decrease. Lastly, zero correlation indicates that there is no relationship between the variables being studied. This means that changes in one variable do not affect the other variable. For instance, there may be zero correlation between shoe size and intelligence.

Correlational research is commonly used in various fields, including psychology, sociology, and marketing. It provides valuable insights into the relationships between variables and helps researchers understand the patterns and trends in data. However, correlational research has its limitations. Since it does not involve manipulation of variables, it cannot establish causation. It can only identify associations between variables. Additionally, correlational research relies on the accuracy and reliability of the data collected, which can be influenced by various factors.

Causal-Comparative Research

Causal-comparative research is a methodology used to identify cause-effect relationships between independent and dependent variables. It is a type of research method where the researcher tries to find out if there is a causal effect relationship between two or more groups or variables.

The main objective of causal-comparative research is to determine the cause or reason for pre-existing differences in groups of individuals. This research design involves comparing groups that have already been formed based on a specific characteristic or condition. The researcher then analyzes the differences between these groups to identify any causal relationships.

There are two types of causal-comparative research designs: retrospective and prospective. Retrospective causal-comparative research looks at past events or conditions to determine the cause-effect relationship. On the other hand, prospective causal-comparative research looks at current or future events or conditions to identify the causal relationship.

One example of causal-comparative research is a study comparing the critical thinking skills of students who were taught using the inquiry method versus those who were taught using the lecture method. The researcher would compare the two groups of students and analyze the differences in their critical thinking abilities to determine if the teaching method had a causal effect on their skills.

Causal-comparative research has its advantages and disadvantages. One advantage is that it allows researchers to study cause-effect relationships in situations where it is not possible or ethical to manipulate variables. It also provides valuable insights into the factors that contribute to differences between groups.

However, a limitation of causal-comparative research is that it cannot establish a cause-effect relationship with certainty, as there may be other variables or factors that influence the observed differences between groups.

Qualitative Research

Qualitative research is a type of research that explores and provides deeper insights into real-world problems. Instead of collecting numerical data, qualitative research deals with data types such as text, audio, images, and video, focusing on the variety of human experiences and perspectives.

There are different types of qualitative research methods that researchers can use depending on their study requirements. Some common qualitative research methods include in-depth interviews, focus groups, ethnographic research, content analysis, and case study. In-depth interviews involve conducting one-on-one interviews with participants to gather detailed information about their experiences, opinions, and perspectives. This method allows researchers to delve deep into the thoughts and feelings of individuals and gain a comprehensive understanding of their experiences.

Focus groups involve bringing together a small group of participants to discuss a specific topic or issue. The group dynamic allows for the exploration of different perspectives and the generation of rich and diverse insights. Focus groups are particularly useful for understanding social interactions and group dynamics. Ethnographic research involves immersing the researcher in the natural environment of the participants to observe and understand their behaviors, beliefs, and cultural practices. This method allows for a holistic understanding of the social and cultural context in which individuals operate.

Content analysis involves systematically analyzing textual, audio, or visual data to identify patterns, themes, and meanings. This method is often used to analyze documents, media content, or online discussions to gain insights into societal trends, attitudes, or representations. Case study research involves in-depth investigation of a specific individual, group, or organization. Researchers collect and analyze multiple sources of data to gain a comprehensive understanding of the case under study. Case studies are particularly useful for exploring complex phenomena or unique situations.

Qualitative research provides several advantages. It allows researchers to explore complex and nuanced phenomena in depth, providing rich and detailed insights. It also allows for flexibility and adaptability in the research process, as researchers can adjust their approach based on emerging findings. Additionally, qualitative research is often used to generate hypotheses or theories that can be further tested using quantitative research methods.

However, qualitative research also has some limitations. The findings are often context-specific and may not be generalizable to a larger population. The subjective nature of qualitative data collection and analysis can introduce bias and interpretation challenges. Qualitative research also requires significant time and resources, as data collection and analysis can be time-consuming and labor-intensive.

Quantitative Research

Quantitative research is a type of research that involves collecting and analyzing numerical data to describe characteristics, find correlations, or test hypotheses. It is characterized by structured tools like surveys, substantial sample sizes, closed-ended questions, and reliance on prior studies.

There are two main types of quantitative research: primary and secondary. Primary quantitative research involves collecting data directly from the source, such as through surveys or experiments. Secondary quantitative research, on the other hand, involves analyzing existing data that has been collected by someone else.

Quantitative research methods can be used to quantify opinions, behaviors, attitudes, and other definitive variables related to the market, customers, competitors, and more. It provides a systematic and objective approach to studying phenomena and allows for statistical analysis to draw conclusions.

There are several types of quantitative research designs that can be used, depending on the research objectives . These include descriptive research, correlational research, causal-comparative research, and experimental research as per explained above.

In conclusion, understanding the different types of research is essential for conducting effective and meaningful studies. Each type of research has its own strengths and limitations, and researchers must carefully consider which approach is the most appropriate for their specific research question and objectives. It is important to recognize that research is an iterative process, and different types of research may be used at different stages of a study.

In summary, the various types of research offer different perspectives and methodologies for investigating and understanding the world around us. By utilizing a combination of these approaches, researchers can gain a comprehensive understanding of complex phenomena and make meaningful contributions to their fields of study.

Leave a Comment Cancel reply

Save my name, email, and website in this browser for the next time I comment.

Related articles

Writing engaging introduction in research papers : tips and tricks.

Understanding Comparative Frameworks: Their Importance, Components, Examples and 8 Best Practices

Revolutionizing Effective Thesis Writing for PhD Students Using Artificial Intelligence!

3 Types of Interviews in Qualitative Research: An Essential Research Instrument and Handy Tips to Conduct Them

Highlight Abstracts: An Ultimate Guide For Researchers!

Crafting Critical Abstracts: 11 Expert Strategies for Summarizing Research

Crafting the Perfect Informative Abstract: Definition, Importance and 8 Expert Writing Tips

Descriptive Abstracts: A Complete Guide to Crafting Effective Summaries in Research Writing

• Skip to main content
• Skip to primary sidebar
• Skip to footer
• QuestionPro

• Solutions Industries Gaming Automotive Sports and events Education Government Travel & Hospitality Financial Services Healthcare Cannabis Technology Use Case AskWhy Communities Audience Contactless surveys Mobile LivePolls Member Experience GDPR Positive People Science 360 Feedback Surveys
• Resources Blog eBooks Survey Templates Case Studies Training Help center

Home Market Research

What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

• Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

• Identify potential and new customers
• Understand existing customers
• Set pragmatic goals
• Develop productive market strategies
• Address business challenges
• Put together a business expansion plan
• Identify new business opportunities
• Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
• The analysis is based on logical reasoning and involves both inductive and deductive methods.
• Real-time data and knowledge is derived from actual observations in natural settings.
• There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
• It creates a path for generating new questions. Existing data helps create more research opportunities.
• It is analytical and uses all the available data so that there is no ambiguity in inference.
• Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

• Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

• Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

LEARN ABOUT: Best Data Collection Tools

• Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods .

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

• One-to-one Interview
• Focus Groups
• Ethnographic studies
• Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

• Survey research
• Descriptive research
• Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

• Valid – founded, logical, rigorous, and impartial.
• Accurate – free of errors and including required details.
• Reliable – other people who investigate in the same way can produce similar results.
• Timely – current and collected within an appropriate time frame.
• Complete – includes all the data you need to support your business decisions.

Gather insights

• Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
• Keep track of the frequency with which each of the main findings appears.
• Make a list of your findings from the most common to the least common.
• Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
• Prepare conclusions and recommendations about your study.
• Act on your strategies
• Look for gaps in the information, and consider doing additional inquiry if necessary
• Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

LEARN MORE ABOUT OUR SOFTWARE         FREE TRIAL

MORE LIKE THIS

Life@QuestionPro: Thomas Maiwald-Immer’s Experience

Aug 9, 2024

Top 13 Reporting Tools to Transform Your Data Insights & More

Aug 8, 2024

Employee Satisfaction: How to Boost Your  Workplace Happiness?

Aug 7, 2024

Jotform vs Formstack: Which Form Builder Should You Choose?

Other categories.

• Academic Research
• Artificial Intelligence
• Assessments
• Brand Awareness
• Case Studies
• Communities
• Consumer Insights
• Customer effort score
• Customer Engagement
• Customer Experience
• Customer Loyalty
• Customer Research
• Customer Satisfaction
• Employee Benefits
• Employee Engagement
• Employee Retention
• Friday Five
• General Data Protection Regulation
• Insights Hub
• Life@QuestionPro
• Market Research
• Mobile diaries
• Mobile Surveys
• New Features
• Online Communities
• Question Types
• Questionnaire
• QuestionPro Products
• Release Notes
• Research Tools and Apps
• Revenue at Risk
• Survey Templates
• Training Tips
• Tuesday CX Thoughts (TCXT)
• Uncategorized
• What’s Coming Up
• Workforce Intelligence

• Privacy Policy

Home » Research Design – Types, Methods and Examples

Research Design – Types, Methods and Examples

Table of Contents

Research Design

Definition:

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

Types of Research Design

Types of Research Design are as follows:

Descriptive Research Design

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

Correlational Research Design

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

Experimental Research Design

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

Quasi-experimental Research Design

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

Case Study Research Design

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

Longitudinal Research Design

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

Structure of Research Design

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

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

Example of Research Design

An Example of Research Design could be:

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

Research design:

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

How to Write Research Design

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

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

When to Write Research Design

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

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

Purpose of Research Design

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

Some of the key purposes of research design include:

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

Applications of Research Design

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

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

Advantages of Research Design

Here are some advantages of research design:

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

Research Design Vs Research Methodology

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

Thesis Statement – Examples, Writing Guide

Research Paper Conclusion – Writing Guide and...

Evaluating Research – Process, Examples and...

APA Table of Contents – Format and Example

Figures in Research Paper – Examples and Guide

Research Results Section – Writing Guide and...

Leave a comment x.

Save my name, email, and website in this browser for the next time I comment.

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base

Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs. quantitative : Will your data take the form of words or numbers?
• Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
• Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

Receive feedback on language, structure, and formatting

Professional editors proofread and edit your paper by focusing on:

• Academic style
• Vague sentences
• Style consistency

See an example

Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

• From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

• During an experiment .
• Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

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

• Chi square test of independence
• Statistical power
• Descriptive statistics
• Degrees of freedom
• Pearson correlation
• Null hypothesis
• Double-blind study
• Case-control study
• Research ethics
• Data collection
• Hypothesis testing
• Structured interviews

Research bias

• Hawthorne effect
• Unconscious bias
• Recall bias
• Halo effect
• Self-serving bias
• Information bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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

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

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

Is this article helpful?

Other students also liked, writing strong research questions | criteria & examples.

• What Is a Research Design | Types, Guide & Examples
• Data Collection | Definition, Methods & Examples

More interesting articles

• Between-Subjects Design | Examples, Pros, & Cons
• Cluster Sampling | A Simple Step-by-Step Guide with Examples
• Confounding Variables | Definition, Examples & Controls
• Construct Validity | Definition, Types, & Examples
• Content Analysis | Guide, Methods & Examples
• Control Groups and Treatment Groups | Uses & Examples
• Control Variables | What Are They & Why Do They Matter?
• Correlation vs. Causation | Difference, Designs & Examples
• Correlational Research | When & How to Use
• Critical Discourse Analysis | Definition, Guide & Examples
• Cross-Sectional Study | Definition, Uses & Examples
• Descriptive Research | Definition, Types, Methods & Examples
• Ethical Considerations in Research | Types & Examples
• Explanatory and Response Variables | Definitions & Examples
• Explanatory Research | Definition, Guide, & Examples
• Exploratory Research | Definition, Guide, & Examples
• External Validity | Definition, Types, Threats & Examples
• Extraneous Variables | Examples, Types & Controls
• Guide to Experimental Design | Overview, Steps, & Examples
• How Do You Incorporate an Interview into a Dissertation? | Tips
• How to Do Thematic Analysis | Step-by-Step Guide & Examples
• How to Write a Literature Review | Guide, Examples, & Templates
• How to Write a Strong Hypothesis | Steps & Examples
• Inclusion and Exclusion Criteria | Examples & Definition
• Independent vs. Dependent Variables | Definition & Examples
• Inductive Reasoning | Types, Examples, Explanation
• Inductive vs. Deductive Research Approach | Steps & Examples
• Internal Validity in Research | Definition, Threats, & Examples
• Internal vs. External Validity | Understanding Differences & Threats
• Longitudinal Study | Definition, Approaches & Examples
• Mediator vs. Moderator Variables | Differences & Examples
• Mixed Methods Research | Definition, Guide & Examples
• Multistage Sampling | Introductory Guide & Examples
• Naturalistic Observation | Definition, Guide & Examples
• Operationalization | A Guide with Examples, Pros & Cons
• Population vs. Sample | Definitions, Differences & Examples
• Primary Research | Definition, Types, & Examples
• Qualitative vs. Quantitative Research | Differences, Examples & Methods
• Quasi-Experimental Design | Definition, Types & Examples
• Questionnaire Design | Methods, Question Types & Examples
• Random Assignment in Experiments | Introduction & Examples
• Random vs. Systematic Error | Definition & Examples
• Reliability vs. Validity in Research | Difference, Types and Examples
• Reproducibility vs Replicability | Difference & Examples
• Reproducibility vs. Replicability | Difference & Examples
• Sampling Methods | Types, Techniques & Examples
• Semi-Structured Interview | Definition, Guide & Examples
• Simple Random Sampling | Definition, Steps & Examples
• Single, Double, & Triple Blind Study | Definition & Examples
• Stratified Sampling | Definition, Guide & Examples
• Structured Interview | Definition, Guide & Examples
• Survey Research | Definition, Examples & Methods
• Systematic Review | Definition, Example, & Guide
• Systematic Sampling | A Step-by-Step Guide with Examples
• Textual Analysis | Guide, 3 Approaches & Examples
• The 4 Types of Reliability in Research | Definitions & Examples
• The 4 Types of Validity in Research | Definitions & Examples
• Transcribing an Interview | 5 Steps & Transcription Software
• Triangulation in Research | Guide, Types, Examples
• Types of Interviews in Research | Guide & Examples
• Types of Research Designs Compared | Guide & Examples
• Types of Variables in Research & Statistics | Examples
• Unstructured Interview | Definition, Guide & Examples
• What Is a Case Study? | Definition, Examples & Methods
• What Is a Case-Control Study? | Definition & Examples
• What Is a Cohort Study? | Definition & Examples
• What Is a Conceptual Framework? | Tips & Examples
• What Is a Controlled Experiment? | Definitions & Examples
• What Is a Double-Barreled Question?
• What Is a Focus Group? | Step-by-Step Guide & Examples
• What Is a Likert Scale? | Guide & Examples
• What Is a Prospective Cohort Study? | Definition & Examples
• What Is a Retrospective Cohort Study? | Definition & Examples
• What Is Action Research? | Definition & Examples
• What Is an Observational Study? | Guide & Examples
• What Is Concurrent Validity? | Definition & Examples
• What Is Content Validity? | Definition & Examples
• What Is Convenience Sampling? | Definition & Examples
• What Is Convergent Validity? | Definition & Examples
• What Is Criterion Validity? | Definition & Examples
• What Is Data Cleansing? | Definition, Guide & Examples
• What Is Deductive Reasoning? | Explanation & Examples
• What Is Discriminant Validity? | Definition & Example
• What Is Ecological Validity? | Definition & Examples
• What Is Ethnography? | Definition, Guide & Examples
• What Is Face Validity? | Guide, Definition & Examples
• What Is Non-Probability Sampling? | Types & Examples
• What Is Participant Observation? | Definition & Examples
• What Is Peer Review? | Types & Examples
• What Is Predictive Validity? | Examples & Definition
• What Is Probability Sampling? | Types & Examples
• What Is Purposive Sampling? | Definition & Examples
• What Is Qualitative Observation? | Definition & Examples
• What Is Qualitative Research? | Methods & Examples
• What Is Quantitative Observation? | Definition & Examples
• What Is Quantitative Research? | Definition, Uses & Methods

Get unlimited documents corrected

✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts

• Systematic review
• Open access
• Published: 07 August 2024

Models and frameworks for assessing the implementation of clinical practice guidelines: a systematic review

• Nicole Freitas de Mello   ORCID: orcid.org/0000-0002-5228-6691 1 , 2 ,
• Sarah Nascimento Silva   ORCID: orcid.org/0000-0002-1087-9819 3 ,
• Dalila Fernandes Gomes   ORCID: orcid.org/0000-0002-2864-0806 1 , 2 ,
• Juliana da Motta Girardi   ORCID: orcid.org/0000-0002-7547-7722 4 &
• Jorge Otávio Maia Barreto   ORCID: orcid.org/0000-0002-7648-0472 2 , 4  

Implementation Science volume  19 , Article number:  59 ( 2024 ) Cite this article

333 Accesses

6 Altmetric

Metrics details

The implementation of clinical practice guidelines (CPGs) is a cyclical process in which the evaluation stage can facilitate continuous improvement. Implementation science has utilized theoretical approaches, such as models and frameworks, to understand and address this process. This article aims to provide a comprehensive overview of the models and frameworks used to assess the implementation of CPGs.

A systematic review was conducted following the Cochrane methodology, with adaptations to the "selection process" due to the unique nature of this review. The findings were reported following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. Electronic databases were searched from their inception until May 15, 2023. A predetermined strategy and manual searches were conducted to identify relevant documents from health institutions worldwide. Eligible studies presented models and frameworks for assessing the implementation of CPGs. Information on the characteristics of the documents, the context in which the models were used (specific objectives, level of use, type of health service, target group), and the characteristics of each model or framework (name, domain evaluated, and model limitations) were extracted. The domains of the models were analyzed according to the key constructs: strategies, context, outcomes, fidelity, adaptation, sustainability, process, and intervention. A subgroup analysis was performed grouping models and frameworks according to their levels of use (clinical, organizational, and policy) and type of health service (community, ambulatorial, hospital, institutional). The JBI’s critical appraisal tools were utilized by two independent researchers to assess the trustworthiness, relevance, and results of the included studies.

Database searches yielded 14,395 studies, of which 80 full texts were reviewed. Eight studies were included in the data analysis and four methodological guidelines were additionally included from the manual search. The risk of bias in the studies was considered non-critical for the results of this systematic review. A total of ten models/frameworks for assessing the implementation of CPGs were found. The level of use was mainly policy, the most common type of health service was institutional, and the major target group was professionals directly involved in clinical practice. The evaluated domains differed between the models and there were also differences in their conceptualization. All the models addressed the domain "Context", especially at the micro level (8/12), followed by the multilevel (7/12). The domains "Outcome" (9/12), "Intervention" (8/12), "Strategies" (7/12), and "Process" (5/12) were frequently addressed, while "Sustainability" was found only in one study, and "Fidelity/Adaptation" was not observed.

Conclusions

The use of models and frameworks for assessing the implementation of CPGs is still incipient. This systematic review may help stakeholders choose or adapt the most appropriate model or framework to assess CPGs implementation based on their specific health context.

Trial registration

PROSPERO (International Prospective Register of Systematic Reviews) registration number: CRD42022335884. Registered on June 7, 2022.

Peer Review reports

Contributions to the literature

Although the number of theoretical approaches has grown in recent years, there are still important gaps to be explored in the use of models and frameworks to assess the implementation of clinical practice guidelines (CPGs). This systematic review aims to contribute knowledge to overcome these gaps.

Despite the great advances in implementation science, evaluating the implementation of CPGs remains a challenge, and models and frameworks could support improvements in this field.

This study demonstrates that the available models and frameworks do not cover all characteristics and domains necessary for a complete evaluation of CPGs implementation.

The presented findings contribute to the field of implementation science, encouraging debate on choices and adaptations of models and frameworks for implementation research and evaluation.

Substantial investments have been made in clinical research and development in recent decades, increasing the medical knowledge base and the availability of health technologies [ 1 ]. The use of clinical practice guidelines (CPGs) has increased worldwide to guide best health practices and to maximize healthcare investments. A CPG can be defined as "any formal statements systematically developed to assist practitioner and patient decisions about appropriate health care for specific clinical circumstances" [ 2 ] and has the potential to improve patient care by promoting interventions of proven benefit and discouraging ineffective interventions. Furthermore, they can promote efficiency in resource allocation and provide support for managers and health professionals in decision-making [ 3 , 4 ].

However, having a quality CPG does not guarantee that the expected health benefits will be obtained. In fact, putting these devices to use still presents a challenge for most health services across distinct levels of government. In addition to the development of guidelines with high methodological rigor, those recommendations need to be available to their users; these recommendations involve the diffusion and dissemination stages, and they need to be used in clinical practice (implemented), which usually requires behavioral changes and appropriate resources and infrastructure. All these stages involve an iterative and complex process called implementation, which is defined as the process of putting new practices within a setting into use [ 5 , 6 ].

Implementation is a cyclical process, and the evaluation is one of its key stages, which allows continuous improvement of CPGs development and implementation strategies. It consists of verifying whether clinical practice is being performed as recommended (process evaluation or formative evaluation) and whether the expected results and impact are being reached (summative evaluation) [ 7 , 8 , 9 ]. Although the importance of the implementation evaluation stage has been recognized, research on how these guidelines are implemented is scarce [ 10 ]. This paper focused on the process of assessing CPGs implementation.

To understand and improve this complex process, implementation science provides a systematic set of principles and methods to integrate research findings and other evidence-based practices into routine practice and improve the quality and effectiveness of health services and care [ 11 ]. The field of implementation science uses theoretical approaches that have varying degrees of specificity based on the current state of knowledge and are structured based on theories, models, and frameworks [ 5 , 12 , 13 ]. A "Model" is defined as "a simplified depiction of a more complex world with relatively precise assumptions about cause and effect", and a "framework" is defined as "a broad set of constructs that organize concepts and data descriptively without specifying causal relationships" [ 9 ]. Although these concepts are distinct, in this paper, their use will be interchangeable, as they are typically like checklists of factors relevant to various aspects of implementation.

There are a variety of theoretical approaches available in implementation science [ 5 , 14 ], which can make choosing the most appropriate challenging [ 5 ]. Some models and frameworks have been categorized as "evaluation models" by providing a structure for evaluating implementation endeavors [ 15 ], even though theoretical approaches from other categories can also be applied for evaluation purposes because they specify concepts and constructs that may be operationalized and measured [ 13 ]. Two frameworks that can specify implementation aspects that should be evaluated as part of intervention studies are RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) [ 16 ] and PRECEDE-PROCEED (Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation-Policy, Regulatory, and Organizational Constructs in Educational and Environmental Development) [ 17 ]. Although the number of theoretical approaches has grown in recent years, the use of models and frameworks to evaluate the implementation of guidelines still seems to be a challenge.

This article aims to provide a complete map of the models and frameworks applied to assess the implementation of CPGs. The aim is also to subside debate and choices on models and frameworks for the research and evaluation of the implementation processes of CPGs and thus to facilitate the continued development of the field of implementation as well as to contribute to healthcare policy and practice.

A systematic review was conducted following the Cochrane methodology [ 18 ], with adaptations to the "selection process" due to the unique nature of this review (details can be found in the respective section). The review protocol was registered in PROSPERO (registration number: CRD42022335884) on June 7, 2022. This report adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [ 19 ] and a completed checklist is provided in Additional File 1.

Eligibility criteria

The SDMO approach (Types of Studies, Types of Data, Types of Methods, Outcomes) [ 20 ] was utilized in this systematic review, outlined as follows:

Types of studies

All types of studies were considered for inclusion, as the assessment of CPG implementation can benefit from a diverse range of study designs, including randomized clinical trials/experimental studies, scale/tool development, systematic reviews, opinion pieces, qualitative studies, peer-reviewed articles, books, reports, and unpublished theses.

Studies were categorized based on their methodological designs, which guided the synthesis, risk of bias assessment, and presentation of results.

Study protocols and conference abstracts were excluded due to insufficient information for this review.

Types of data

Studies that evaluated the implementation of CPGs either independently or as part of a multifaceted intervention.

Guidelines for evaluating CPG implementation.

Inclusion of CPGs related to any context, clinical area, intervention, and patient characteristics.

No restrictions were placed on publication date or language.

Exclusion criteria

General guidelines were excluded, as this review focused on 'models for evaluating clinical practice guidelines implementation' rather than the guidelines themselves.

Studies that focused solely on implementation determinants as barriers and enablers were excluded, as this review aimed to explore comprehensive models/frameworks.

Studies evaluating programs and policies were excluded.

Studies that only assessed implementation strategies (isolated actions) rather than the implementation process itself were excluded.

Studies that focused solely on the impact or results of implementation (summative evaluation) were excluded.

Types of methods

Not applicable.

All potential models or frameworks for assessing the implementation of CPG (evaluation models/frameworks), as well as their characteristics: name; specific objectives; levels of use (clinical, organizational, and policy); health system (public, private, or both); type of health service (community, ambulatorial, hospital, institutional, homecare); domains or outcomes evaluated; type of recommendation evaluated; context; limitations of the model.

Model was defined as "a deliberated simplification of a phenomenon on a specific aspect" [ 21 ].

Framework was defined as "structure, overview outline, system, or plan consisting of various descriptive categories" [ 21 ].

Models or frameworks used solely for the CPG development, dissemination, or implementation phase.

Models/frameworks used solely for assessment processes other than implementation, such as for the development or dissemination phase.

Data sources and literature search

The systematic search was conducted on July 31, 2022 (and updated on May 15, 2023) in the following electronic databases: MEDLINE/PubMed, Centre for Reviews and Dissemination (CRD), the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EMBASE, Epistemonikos, Global Health, Health Systems Evidence, PDQ-Evidence, PsycINFO, Rx for Change (Canadian Agency for Drugs and Technologies in Health, CADTH), Scopus, Web of Science and Virtual Health Library (VHL). The Google Scholar database was used for the manual selection of studies (first 10 pages).

Additionally, hand searches were performed on the lists of references included in the systematic reviews and citations of the included studies, as well as on the websites of institutions working on CPGs development and implementation: Guidelines International Networks (GIN), National Institute for Health and Care Excellence (NICE; United Kingdom), World Health Organization (WHO), Centers for Disease Control and Prevention (CDC; USA), Institute of Medicine (IOM; USA), Australian Department of Health and Aged Care (ADH), Healthcare Improvement Scotland (SIGN), National Health and Medical Research Council (NHMRC; Australia), Queensland Health, The Joanna Briggs Institute (JBI), Ministry of Health and Social Policy of Spain, Ministry of Health of Brazil and Capes Theses and Dissertations Catalog.

The search strategy combined terms related to "clinical practice guidelines" (practice guidelines, practice guidelines as topic, clinical protocols), "implementation", "assessment" (assessment, evaluation), and "models, framework". The free term "monitoring" was not used because it was regularly related to clinical monitoring and not to implementation monitoring. The search strategies adapted for the electronic databases are presented in an additional file (see Additional file 2).

Study selection process

The results of the literature search from scientific databases, excluding the CRD database, were imported into Mendeley Reference Management software to remove duplicates. They were then transferred to the Rayyan platform ( https://rayyan.qcri.org ) [ 22 ] for the screening process. Initially, studies related to the "assessment of implementation of the CPG" were selected. The titles were first screened independently by two pairs of reviewers (first selection: four reviewers, NM, JB, SS, and JG; update: a pair of reviewers, NM and DG). The title screening was broad, including all potentially relevant studies on CPG and the implementation process. Following that, the abstracts were independently screened by the same group of reviewers. The abstract screening was more focused, specifically selecting studies that addressed CPG and the evaluation of the implementation process. In the next step, full-text articles were reviewed independently by a pair of reviewers (NM, DG) to identify those that explicitly presented "models" or "frameworks" for assessing the implementation of the CPG. Disagreements regarding the eligibility of studies were resolved through discussion and consensus, and by a third reviewer (JB) when necessary. One reviewer (NM) conducted manual searches, and the inclusion of documents was discussed with the other reviewers.

Risk of bias assessment of studies

The selected studies were independently classified and evaluated according to their methodological designs by two investigators (NM and JG). This review employed JBI’s critical appraisal tools to assess the trustworthiness, relevance and results of the included studies [ 23 ] and these tools are presented in additional files (see Additional file 3 and Additional file 4). Disagreements were resolved by consensus or consultation with the other reviewers. Methodological guidelines and noncomparative and before–after studies were not evaluated because JBI does not have specific tools for assessing these types of documents. Although the studies were assessed for quality, they were not excluded on this basis.

Data extraction

The data was independently extracted by two reviewers (NM, DG) using a Microsoft Excel spreadsheet. Discrepancies were discussed and resolved by consensus. The following information was extracted:

Document characteristics : author; year of publication; title; study design; instrument of evaluation; country; guideline context;

Usage context of the models : specific objectives; level of use (clinical, organizational, and policy); type of health service (community, ambulatorial, hospital, institutional); target group (guideline developers, clinicians; health professionals; health-policy decision-makers; health-care organizations; service managers);

Model and framework characteristics : name, domain evaluated, and model limitations.

The set of information to be extracted, shown in the systematic review protocol, was adjusted to improve the organization of the analysis.

The "level of use" refers to the scope of the model used. "Clinical" was considered when the evaluation focused on individual practices, "organizational" when practices were within a health service institution, and "policy" when the evaluation was more systemic and covered different health services or institutions.

The "type of health service" indicated the category of health service where the model/framework was used (or can be used) to assess the implementation of the CPG, related to the complexity of healthcare. "Community" is related to primary health care; "ambulatorial" is related to secondary health care; "hospital" is related to tertiary health care; and "institutional" represented models/frameworks not specific to a particular type of health service.

The "target group" included stakeholders related to the use of the model/framework for evaluating the implementation of the CPG, such as clinicians, health professionals, guideline developers, health policy-makers, health organizations, and service managers.

The category "health system" (public, private, or both) mentioned in the systematic review protocol was not found in the literature obtained and was removed as an extraction variable. Similarly, the variables "type of recommendation evaluated" and "context" were grouped because the same information was included in the "guideline context" section of the study.

Some selected documents presented models or frameworks recognized by the scientific field, including some that were validated. However, some studies adapted the model to this context. Therefore, the domain analysis covered all models or frameworks domains evaluated by (or suggested for evaluation by) the document analyzed.

Data analysis and synthesis

The results were tabulated using narrative synthesis with an aggregative approach, without meta-analysis, aiming to summarize the documents descriptively for the organization, description, interpretation and explanation of the study findings [ 24 , 25 ].

The model/framework domains evaluated in each document were studied according to Nilsen et al.’s constructs: "strategies", "context", "outcomes", "fidelity", "adaptation" and "sustainability". For this study, "strategies" were described as structured and planned initiatives used to enhance the implementation of clinical practice [ 26 ].

The definition of "context" varies in the literature. Despite that, this review considered it as the set of circumstances or factors surrounding a particular implementation effort, such as organizational support, financial resources, social relations and support, leadership, and organizational culture [ 26 , 27 ]. The domain "context" was subdivided according to the level of health care into "micro" (individual perspective), "meso" (organizational perspective), "macro" (systemic perspective), and "multiple" (when there is an issue involving more than one level of health care).

The "outcomes" domain was related to the results of the implementation process (unlike clinical outcomes) and was stratified according to the following constructs: acceptability, appropriateness, feasibility, adoption, cost, and penetration. All these concepts align with the definitions of Proctor et al. (2011), although we decided to separate "fidelity" and "sustainability" as independent domains similar to Nilsen [ 26 , 28 ].

"Fidelity" and "adaptation" were considered the same domain, as they are complementary pieces of the same issue. In this study, implementation fidelity refers to how closely guidelines are followed as intended by their developers or designers. On the other hand, adaptation involves making changes to the content or delivery of a guideline to better fit the needs of a specific context. The "sustainability" domain was defined as evaluations about the continuation or permanence over time of the CPG implementation.

Additionally, the domain "process" was utilized to address issues related to the implementation process itself, rather than focusing solely on the outcomes of the implementation process, as done by Wang et al. [ 14 ]. Furthermore, the "intervention" domain was introduced to distinguish aspects related to the CPG characteristics that can impact its implementation, such as the complexity of the recommendation.

A subgroup analysis was performed with models and frameworks categorized based on their levels of use (clinical, organizational, and policy) and the type of health service (community, ambulatorial, hospital, institutional) associated with the CPG. The goal is to assist stakeholders (politicians, clinicians, researchers, or others) in selecting the most suitable model for evaluating CPG implementation based on their specific health context.

Search results

Database searches yielded 26,011 studies, of which 107 full texts were reviewed. During the full-text review, 99 articles were excluded: 41 studies did not mention a model or framework for assessing the implementation of the CPG, 31 studies evaluated only implementation strategies (isolated actions) rather than the implementation process itself, and 27 articles were not related to the implementation assessment. Therefore, eight studies were included in the data analysis. The updated search did not reveal additional relevant studies. The main reason for study exclusion was that they did not use models or frameworks to assess CPG implementation. Additionally, four methodological guidelines were included from the manual search (Fig.  1 ).

PRISMA diagram. Acronyms: ADH—Australian Department of Health, CINAHL—Cumulative Index to Nursing and Allied Health Literature, CDC—Centers for Disease Control and Prevention, CRD—Centre for Reviews and Dissemination, GIN—Guidelines International Networks, HSE—Health Systems Evidence, IOM—Institute of Medicine, JBI—The Joanna Briggs Institute, MHB—Ministry of Health of Brazil, NICE—National Institute for Health and Care Excellence, NHMRC—National Health and Medical Research Council, MSPS – Ministerio de Sanidad Y Política Social (Spain), SIGN—Scottish Intercollegiate Guidelines Network, VHL – Virtual Health Library, WHO—World Health Organization. Legend: Reason A –The study evaluated only implementation strategies (isolated actions) rather than the implementation process itself. Reason B – The study did not mention a model or framework for assessing the implementation of the intervention. Reason C – The study was not related to the implementation assessment. Adapted from Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. https://doi.org/10.1136/bmj.n71 . For more information, visit:

According to the JBI’s critical appraisal tools, the overall assessment of the studies indicates their acceptance for the systematic review.

The cross-sectional studies lacked clear information regarding "confounding factors" or "strategies to address confounding factors". This was understandable given the nature of the study, where such details are not typically included. However, the reviewers did not find this lack of information to be critical, allowing the studies to be included in the review. The results of this methodological quality assessment can be found in an additional file (see Additional file 5).

In the qualitative studies, there was some ambiguity regarding the questions: "Is there a statement locating the researcher culturally or theoretically?" and "Is the influence of the researcher on the research, and vice versa, addressed?". However, the reviewers decided to include the studies and deemed the methodological quality sufficient for the analysis in this article, based on the other information analyzed. The results of this methodological quality assessment can be found in an additional file (see Additional file 6).

Documents characteristics (Table  1 )

The documents were directed to several continents: Australia/Oceania (4/12) [ 31 , 33 , 36 , 37 ], North America (4/12 [ 30 , 32 , 38 , 39 ], Europe (2/12 [ 29 , 35 ] and Asia (2/12) [ 34 , 40 ]. The types of documents were classified as cross-sectional studies (4/12) [ 29 , 32 , 34 , 38 ], methodological guidelines (4/12) [ 33 , 35 , 36 , 37 ], mixed methods studies (3/12) [ 30 , 31 , 39 ] or noncomparative studies (1/12) [ 40 ]. In terms of the instrument of evaluation, most of the documents used a survey/questionnaire (6/12) [ 29 , 30 , 31 , 32 , 34 , 38 ], while three (3/12) used qualitative instruments (interviews, group discussions) [ 30 , 31 , 39 ], one used a checklist [ 37 ], one used an audit [ 33 ] and three (3/12) did not define a specific instrument to measure [ 35 , 36 , 40 ].

Considering the clinical areas covered, most studies evaluated the implementation of nonspecific (general) clinical areas [ 29 , 33 , 35 , 36 , 37 , 40 ]. However, some studies focused on specific clinical contexts, such as mental health [ 32 , 38 ], oncology [ 39 ], fall prevention [ 31 ], spinal cord injury [ 30 ], and sexually transmitted infections [ 34 ].

Usage context of the models (Table  1 )

Specific objectives.

All the studies highlighted the purpose of guiding the process of evaluating the implementation of CPGs, even if they evaluated CPGs from generic or different clinical areas.

Levels of use

The most common level of use of the models/frameworks identified to assess the implementation of CPGs was policy (6/12) [ 33 , 35 , 36 , 37 , 39 , 40 ]. In this level, the model is used in a systematic way to evaluate all the processes involved in CPGs implementation and is primarily related to methodological guidelines. This was followed by the organizational level of use (5/12) [ 30 , 31 , 32 , 38 , 39 ], where the model is used to evaluate the implementation of CPGs in a specific institution, considering its specific environment. Finally, the clinical level of use (2/12) [ 29 , 34 ] focuses on individual practice and the factors that can influence the implementation of CPGs by professionals.

Type of health service

Institutional services were predominant (5/12) [ 33 , 35 , 36 , 37 , 40 ] and included methodological guidelines and a study of model development and validation. Hospitals were the second most common type of health service (4/12) [ 29 , 30 , 31 , 34 ], followed by ambulatorial (2/12) [ 32 , 34 ] and community health services (1/12) [ 32 ]. Two studies did not specify which type of health service the assessment addressed [ 38 , 39 ].

Target group

The focus of the target group was professionals directly involved in clinical practice (6/12) [ 29 , 31 , 32 , 34 , 38 , 40 ], namely, health professionals and clinicians. Other less related stakeholders included guideline developers (2/12) [ 39 , 40 ], health policy decision makers (1/12) [ 39 ], and healthcare organizations (1/12) [ 39 ]. The target group was not defined in the methodological guidelines, although all the mentioned stakeholders could be related to these documents.

Model and framework characteristics

Models and frameworks for assessing the implementation of cpgs.

The Consolidated Framework for Implementation Research (CFIR) [ 31 , 38 ] and the Promoting Action on Research Implementation in Health Systems (PARiHS) framework [ 29 , 30 ] were the most commonly employed frameworks within the selected documents. The other models mentioned were: Goal commitment and implementation of practice guidelines framework [ 32 ]; Guideline to identify key indicators [ 35 ]; Guideline implementation checklist [ 37 ]; Guideline implementation evaluation tool [ 40 ]; JBI Implementation Framework [ 33 ]; Reach, effectiveness, adoption, implementation and maintenance (RE-AIM) framework [ 34 ]; The Guideline Implementability Framework [ 39 ] and an unnamed model [ 36 ].

Domains evaluated

The number of domains evaluated (or suggested for evaluation) by the documents varied between three and five, with the majority focusing on three domains. All the models addressed the domain "context", with a particular emphasis on the micro level of the health care context (8/12) [ 29 , 31 , 34 , 35 , 36 , 37 , 38 , 39 ], followed by the multilevel (7/12) [ 29 , 31 , 32 , 33 , 38 , 39 , 40 ], meso level (4/12) [ 30 , 35 , 39 , 40 ] and macro level (2/12) [ 37 , 39 ]. The "Outcome" domain was evaluated in nine models. Within this domain, the most frequently evaluated subdomain was "adoption" (6/12) [ 29 , 32 , 34 , 35 , 36 , 37 ], followed by "acceptability" (4/12) [ 30 , 32 , 35 , 39 ], "appropriateness" (3/12) [ 32 , 34 , 36 ], "feasibility" (3/12) [ 29 , 32 , 36 ], "cost" (1/12) [ 35 ] and "penetration" (1/12) [ 34 ]. Regarding the other domains, "Intervention" (8/12) [ 29 , 31 , 34 , 35 , 36 , 38 , 39 , 40 ], "Strategies" (7/12) [ 29 , 30 , 33 , 35 , 36 , 37 , 40 ] and "Process" (5/12) [ 29 , 31 , 32 , 33 , 38 ] were frequently addressed in the models, while "Sustainability" (1/12) [ 34 ] was only found in one model, and "Fidelity/Adaptation" was not observed. The domains presented by the models and frameworks and evaluated in the documents are shown in Table  2 .

Limitations of the models

Only two documents mentioned limitations in the use of the model or frameworks. These two studies reported limitations in the use of CFIR: "is complex and cumbersome and requires tailoring of the key variables to the specific context", and "this framework should be supplemented with other important factors and local features to achieve a sound basis for the planning and realization of an ongoing project" [ 31 , 38 ]. Limitations in the use of other models or frameworks are not reported.

Subgroup analysis

Following the subgroup analysis (Table  3 ), five different models/frameworks were utilized at the policy level by institutional health services. These included the Guideline Implementation Evaluation Tool [ 40 ], the NHMRC tool (model name not defined) [ 36 ], the JBI Implementation Framework + GRiP [ 33 ], Guideline to identify key indicators [ 35 ], and the Guideline implementation checklist [ 37 ]. Additionally, the "Guideline Implementability Framework" [ 39 ] was implemented at the policy level without restrictions based on the type of health service. Regarding the organizational level, the models used varied depending on the type of service. The "Goal commitment and implementation of practice guidelines framework" [ 32 ] was applied in community and ambulatory health services, while "PARiHS" [ 29 , 30 ] and "CFIR" [ 31 , 38 ] were utilized in hospitals. In contexts where the type of health service was not defined, "CFIR" [ 31 , 38 ] and "The Guideline Implementability Framework" [ 39 ] were employed. Lastly, at the clinical level, "RE-AIM" [ 34 ] was utilized in ambulatory and hospital services, and PARiHS [ 29 , 30 ] was specifically used in hospital services.

Key findings

This systematic review identified 10 models/ frameworks used to assess the implementation of CPGs in various health system contexts. These documents shared similar objectives in utilizing models and frameworks for assessment. The primary level of use was policy, the most common type of health service was institutional, and the main target group of the documents was professionals directly involved in clinical practice. The models and frameworks presented varied analytical domains, with sometimes divergent concepts used in these domains. This study is innovative in its emphasis on the evaluation stage of CPG implementation and in summarizing aspects and domains aimed at the practical application of these models.

The small number of documents contrasts with studies that present an extensive range of models and frameworks available in implementation science. The findings suggest that the use of models and frameworks to evaluate the implementation of CPGs is still in its early stages. Among the selected documents, there was a predominance of cross-sectional studies and methodological guidelines, which strongly influenced how the implementation evaluation was conducted. This was primarily done through surveys/questionnaires, qualitative methods (interviews, group discussions), and non-specific measurement instruments. Regarding the subject areas evaluated, most studies focused on a general clinical area, while others explored different clinical areas. This suggests that the evaluation of CPG implementation has been carried out in various contexts.

The models were chosen independently of the categories proposed in the literature, with their usage categorized for purposes other than implementation evaluation, as is the case with CFIR and PARiHS. This practice was described by Nilsen et al. who suggested that models and frameworks from other categories can also be applied for evaluation purposes because they specify concepts and constructs that may be operationalized and measured [ 14 , 15 , 42 , 43 ].

The results highlight the increased use of models and frameworks in evaluation processes at the policy level and institutional environments, followed by the organizational level in hospital settings. This finding contradicts a review that reported the policy level as an area that was not as well studied [ 44 ]. The use of different models at the institutional level is also emphasized in the subgroup analysis. This may suggest that the greater the impact (social, financial/economic, and organizational) of implementing CPGs, the greater the interest and need to establish well-defined and robust processes. In this context, the evaluation stage stands out as crucial, and the investment of resources and efforts to structure this stage becomes even more advantageous [ 10 , 45 ]. Two studies (16,7%) evaluated the implementation of CPGs at the individual level (clinical level). These studies stand out for their potential to analyze variations in clinical practice in greater depth.

In contrast to the level of use and type of health service most strongly indicated in the documents, with systemic approaches, the target group most observed was professionals directly involved in clinical practice. This suggests an emphasis on evaluating individual behaviors. This same emphasis is observed in the analysis of the models, in which there is a predominance of evaluating the micro level of the health context and the "adoption" subdomain, in contrast with the sub-use of domains such as "cost" and "process". Cassetti et al. observed the same phenomenon in their review, in which studies evaluating the implementation of CPGs mainly adopted a behavioral change approach to tackle those issues, without considering the influence of wider social determinants of health [ 10 ]. However, the literature widely reiterates that multiple factors impact the implementation of CPGs, and different actions are required to make them effective [ 6 , 46 , 47 ]. As a result, there is enormous potential for the development and adaptation of models and frameworks aimed at more systemic evaluation processes that consider institutional and organizational aspects.

In analyzing the model domains, most models focused on evaluating only some aspects of implementation (three domains). All models evaluated the "context", highlighting its significant influence on implementation [ 9 , 26 ]. Context is an essential effect modifier for providing research evidence to guide decisions on implementation strategies [ 48 ]. Contextualizing a guideline involves integrating research or other evidence into a specific circumstance [ 49 ]. The analysis of this domain was adjusted to include all possible contextual aspects, even if they were initially allocated to other domains. Some contextual aspects presented by the models vary in comprehensiveness, such as the assessment of the "timing and nature of stakeholder engagement" [ 39 ], which includes individual engagement by healthcare professionals and organizational involvement in CPG implementation. While the importance of context is universally recognized, its conceptualization and interpretation differ across studies and models. This divergence is also evident in other domains, consistent with existing literature [ 14 ]. Efforts to address this conceptual divergence in implementation science are ongoing, but further research and development are needed in this field [ 26 ].

The main subdomain evaluated was "adoption" within the outcome domain. This may be attributed to the ease of accessing information on the adoption of the CPG, whether through computerized system records, patient records, or self-reports from healthcare professionals or patients themselves. The "acceptability" subdomain pertains to the perception among implementation stakeholders that a particular CPG is agreeable, palatable or satisfactory. On the other hand, "appropriateness" encompasses the perceived fit, relevance or compatibility of the CPG for a specific practice setting, provider, or consumer, or its perceived fit to address a particular issue or problem [ 26 ]. Both subdomains are subjective and rely on stakeholders' interpretations and perceptions of the issue being analyzed, making them susceptible to reporting biases. Moreover, obtaining this information requires direct consultation with stakeholders, which can be challenging for some evaluation processes, particularly in institutional contexts.

The evaluation of the subdomains "feasibility" (the extent to which a CPG can be successfully used or carried out within a given agency or setting), "cost" (the cost impact of an implementation effort), and "penetration" (the extent to which an intervention or treatment is integrated within a service setting and its subsystems) [ 26 ] was rarely observed in the documents. This may be related to the greater complexity of obtaining information on these aspects, as they involve cross-cutting and multifactorial issues. In other words, it would be difficult to gather this information during evaluations with health practitioners as the target group. This highlights the need for evaluation processes of CPGs implementation involving multiple stakeholders, even if the evaluation is adjusted for each of these groups.

Although the models do not establish the "intervention" domain, we thought it pertinent in this study to delimit the issues that are intrinsic to CPGs, such as methodological quality or clarity in establishing recommendations. These issues were quite common in the models evaluated but were considered in other domains (e.g., in "context"). Studies have reported the importance of evaluating these issues intrinsic to CPGs [ 47 , 50 ] and their influence on the implementation process [ 51 ].

The models explicitly present the "strategies" domain, and its evaluation was usually included in the assessments. This is likely due to the expansion of scientific and practical studies in implementation science that involve theoretical approaches to the development and application of interventions to improve the implementation of evidence-based practices. However, these interventions themselves are not guaranteed to be effective, as reported in a previous review that showed unclear results indicating that the strategies had affected successful implementation [ 52 ]. Furthermore, model domains end up not covering all the complexity surrounding the strategies and their development and implementation process. For example, the ‘Guideline implementation evaluation tool’ evaluates whether guideline developers have designed and provided auxiliary tools to promote the implementation of guidelines [ 40 ], but this does not mean that these tools would work as expected.

The "process" domain was identified in the CFIR [ 31 , 38 ], JBI/GRiP [ 33 ], and PARiHS [ 29 ] frameworks. While it may be included in other domains of analysis, its distinct separation is crucial for defining operational issues when assessing the implementation process, such as determining if and how the use of the mentioned CPG was evaluated [ 3 ]. Despite its presence in multiple models, there is still limited detail in the evaluation guidelines, which makes it difficult to operationalize the concept. Further research is needed to better define the "process" domain and its connections and boundaries with other domains.

The domain of "sustainability" was only observed in the RE-AIM framework, which is categorized as an evaluation framework [ 34 ]. In its acronym, the letter M stands for "maintenance" and corresponds to the assessment of whether the user maintains use, typically longer than 6 months. The presence of this domain highlights the need for continuous evaluation of CPGs implementation in the short, medium, and long term. Although the RE-AIM framework includes this domain, it was not used in the questionnaire developed in the study. One probable reason is that the evaluation of CPGs implementation is still conducted on a one-off basis and not as a continuous improvement process. Considering that changes in clinical practices are inherent over time, evaluating and monitoring changes throughout the duration of the CPG could be an important strategy for ensuring its implementation. This is an emerging field that requires additional investment and research.

The "Fidelity/Adaptation" domain was not observed in the models. These emerging concepts involve the extent to which a CPG is being conducted exactly as planned or whether it is undergoing adjustments and adaptations. Whether or not there is fidelity or adaptation in the implementation of CPGs does not presuppose greater or lesser effectiveness; after all, some adaptations may be necessary to implement general CPGs in specific contexts. The absence of this domain in all the models and frameworks may suggest that they are not relevant aspects for evaluating implementation or that there is a lack of knowledge of these complex concepts. This may suggest difficulty in expressing concepts in specific evaluative questions. However, further studies are warranted to determine the comprehensiveness of these concepts.

It is important to note the customization of the domains of analysis, with some domains presented in the models not being evaluated in the studies, while others were complementarily included. This can be seen in Jeong et al. [ 34 ], where the "intervention" domain in the evaluation with the RE-AIM framework reinforced the aim of theoretical approaches such as guiding the process and not determining norms. Despite this, few limitations were reported for the models, suggesting that the use of models in these studies reflects the application of these models to defined contexts without a deep critical analysis of their domains.

Limitations

This review has several limitations. First, only a few studies and methodological guidelines that explicitly present models and frameworks for assessing the implementation of CPGs have been found. This means that few alternative models could be analyzed and presented in this review. Second, this review adopted multiple analytical categories (e.g., level of use, health service, target group, and domains evaluated), whose terminology has varied enormously in the studies and documents selected, especially for the "domains evaluated" category. This difficulty in harmonizing the taxonomy used in the area has already been reported [ 26 ] and has significant potential to confuse. For this reason, studies and initiatives are needed to align understandings between concepts and, as far as possible, standardize them. Third, in some studies/documents, the information extracted was not clear about the analytical category. This required an in-depth interpretative process of the studies, which was conducted in pairs to avoid inappropriate interpretations.

Implications

This study contributes to the literature and clinical practice management by describing models and frameworks specifically used to assess the implementation of CPGs based on their level of use, type of health service, target group related to the CPG, and the evaluated domains. While there are existing reviews on the theories, frameworks, and models used in implementation science, this review addresses aspects not previously covered in the literature. This valuable information can assist stakeholders (such as politicians, clinicians, researchers, etc.) in selecting or adapting the most appropriate model to assess CPG implementation based on their health context. Furthermore, this study is expected to guide future research on developing or adapting models to assess the implementation of CPGs in various contexts.

The use of models and frameworks to evaluate the implementation remains a challenge. Studies should clearly state the level of model use, the type of health service evaluated, and the target group. The domains evaluated in these models may need adaptation to specific contexts. Nevertheless, utilizing models to assess CPGs implementation is crucial as they can guide a more thorough and systematic evaluation process, aiding in the continuous improvement of CPGs implementation. The findings of this systematic review offer valuable insights for stakeholders in selecting or adjusting models and frameworks for CPGs evaluation, supporting future theoretical advancements and research.

Availability of data and materials

Abbreviations.

Australian Department of Health and Aged Care

Canadian Agency for Drugs and Technologies in Health

Centers for Disease Control and

Consolidated Framework for Implementation Research

Cumulative Index to Nursing and Allied Health Literature

Clinical practice guideline

Centre for Reviews and Dissemination

Guidelines International Networks

Getting Research into Practice

Health Systems Evidence

Institute of Medicine

The Joanna Briggs Institute

Ministry of Health of Brazil

Ministerio de Sanidad y Política Social

National Health and Medical Research Council

National Institute for Health and Care Excellence

Promoting action on research implementation in health systems framework

Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation-Policy, Regulatory, and Organizational Constructs in Educational and Environmental Development

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

International Prospective Register of Systematic Reviews

Reach, effectiveness, adoption, implementation, and maintenance framework

Healthcare Improvement Scotland

United States of America

Virtual Health Library

World Health Organization

Medicine I of. Crossing the Quality Chasm: A New Health System for the 21st Century. 2001. Available from: http://www.nap.edu/catalog/10027 . Cited 2022 Sep 29.

Field MJ, Lohr KN. Clinical Practice Guidelines: Directions for a New Program. Washington DC: National Academy Press. 1990. Available from: https://www.nap.edu/read/1626/chapter/8 Cited 2020 Sep 2.

Dawson A, Henriksen B, Cortvriend P. Guideline Implementation in Standardized Office Workflows and Exam Types. J Prim Care Community Heal. 2019;10. Available from: https://pubmed.ncbi.nlm.nih.gov/30900500/ . Cited 2020 Jul 15.

Unverzagt S, Oemler M, Braun K, Klement A. Strategies for guideline implementation in primary care focusing on patients with cardiovascular disease: a systematic review. Fam Pract. 2014;31(3):247–66. Available from: https://academic.oup.com/fampra/article/31/3/247/608680 . Cited 2020 Nov 5.

Article   PubMed   Google Scholar  

Nilsen P. Making sense of implementation theories, models and frameworks. Implement Sci. 2015;10(1):1–13. Available from: https://implementationscience.biomedcentral.com/articles/10.1186/s13012-015-0242-0 . Cited 2022 May 1.

Article   Google Scholar  

Mangana F, Massaquoi LD, Moudachirou R, Harrison R, Kaluangila T, Mucinya G, et al. Impact of the implementation of new guidelines on the management of patients with HIV infection at an advanced HIV clinic in Kinshasa, Democratic Republic of Congo (DRC). BMC Infect Dis. 2020;20(1):N.PAG-N.PAG. Available from: https://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=146325052&amp .

Browman GP, Levine MN, Mohide EA, Hayward RSA, Pritchard KI, Gafni A, et al. The practice guidelines development cycle: a conceptual tool for practice guidelines development and implementation. 2016;13(2):502–12. https://doi.org/10.1200/JCO.1995.13.2.502 .

Killeen SL, Donnellan N, O’Reilly SL, Hanson MA, Rosser ML, Medina VP, et al. Using FIGO Nutrition Checklist counselling in pregnancy: A review to support healthcare professionals. Int J Gynecol Obstet. 2023;160(S1):10–21. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146194829&doi=10.1002%2Fijgo.14539&partnerID=40&md5=d0f14e1f6d77d53e719986e6f434498f .

Bauer MS, Damschroder L, Hagedorn H, Smith J, Kilbourne AM. An introduction to implementation science for the non-specialist. BMC Psychol. 2015;3(1):1–12. Available from: https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-015-0089-9 . Cited 2020 Nov 5.

Cassetti V, M VLR, Pola-Garcia M, AM G, J JPC, L APDT, et al. An integrative review of the implementation of public health guidelines. Prev Med reports. 2022;29:101867. Available from: http://www.epistemonikos.org/documents/7ad499d8f0eecb964fc1e2c86b11450cbe792a39 .

Eccles MP, Mittman BS. Welcome to implementation science. Implementation Science BioMed Central. 2006. Available from: https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-1-1 .

Damschroder LJ. Clarity out of chaos: Use of theory in implementation research. Psychiatry Res. 2020;1(283):112461.

Handley MA, Gorukanti A, Cattamanchi A. Strategies for implementing implementation science: a methodological overview. Emerg Med J. 2016;33(9):660–4. Available from: https://pubmed.ncbi.nlm.nih.gov/26893401/ . Cited 2022 Mar 7.

Wang Y, Wong ELY, Nilsen P, Chung VC ho, Tian Y, Yeoh EK. A scoping review of implementation science theories, models, and frameworks — an appraisal of purpose, characteristics, usability, applicability, and testability. Implement Sci. 2023;18(1):1–15. Available from: https://implementationscience.biomedcentral.com/articles/10.1186/s13012-023-01296-x . Cited 2024 Jan 22.

Moullin JC, Dickson KS, Stadnick NA, Albers B, Nilsen P, Broder-Fingert S, et al. Ten recommendations for using implementation frameworks in research and practice. Implement Sci Commun. 2020;1(1):1–12. Available from: https://implementationsciencecomms.biomedcentral.com/articles/10.1186/s43058-020-00023-7 . Cited 2022 May 20.

Glasgow RE, Vogt TM, Boles SM. *Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89(9):1322. Available from: /pmc/articles/PMC1508772/?report=abstract. Cited 2022 May 22.

Article   CAS   PubMed   PubMed Central   Google Scholar  

Asada Y, Lin S, Siegel L, Kong A. Facilitators and Barriers to Implementation and Sustainability of Nutrition and Physical Activity Interventions in Early Childcare Settings: a Systematic Review. Prev Sci. 2023;24(1):64–83. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139519721&doi=10.1007%2Fs11121-022-01436-7&partnerID=40&md5=b3c395fdd2b8235182eee518542ebf2b .

Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al., editors. Cochrane Handbook for Systematic Reviews of Interventions. version 6. Cochrane; 2022. Available from: https://training.cochrane.org/handbook. Cited 2022 May 23.

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372. Available from: https://www.bmj.com/content/372/bmj.n71 . Cited 2021 Nov 18.

M C, AD O, E P, JP H, S G. Appendix A: Guide to the contents of a Cochrane Methodology protocol and review. Higgins JP, Green S, eds Cochrane Handb Syst Rev Interv. 2011;Version 5.

Kislov R, Pope C, Martin GP, Wilson PM. Harnessing the power of theorising in implementation science. Implement Sci. 2019;14(1):1–8. Available from: https://implementationscience.biomedcentral.com/articles/10.1186/s13012-019-0957-4 . Cited 2024 Jan 22.

Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan-a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):1–10. Available from: https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/s13643-016-0384-4 . Cited 2022 May 20.

JBI. JBI’s Tools Assess Trust, Relevance & Results of Published Papers: Enhancing Evidence Synthesis. Available from: https://jbi.global/critical-appraisal-tools . Cited 2023 Jun 13.

Drisko JW. Qualitative research synthesis: An appreciative and critical introduction. Qual Soc Work. 2020;19(4):736–53.

Pope C, Mays N, Popay J. Synthesising qualitative and quantitative health evidence: A guide to methods. 2007. Available from: https://books.google.com.br/books?hl=pt-PT&lr=&id=L3fbE6oio8kC&oi=fnd&pg=PR6&dq=synthesizing+qualitative+and+quantitative+health+evidence&ots=sfELNUoZGq&sig=bQt5wt7sPKkf7hwKUvxq2Ek-p2Q#v=onepage&q=synthesizing=qualitative=and=quantitative=health=evidence& . Cited 2022 May 22.

Nilsen P, Birken SA, Edward Elgar Publishing. Handbook on implementation science. 542. Available from: https://www.e-elgar.com/shop/gbp/handbook-on-implementation-science-9781788975988.html . Cited 2023 Apr 15.

Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: A consolidated framework for advancing implementation science. Implement Sci. 2009;4(1):1–15. Available from: https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-4-50 . Cited 2023 Jun 13.

Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011;38(2):65–76. Available from: https://pubmed.ncbi.nlm.nih.gov/20957426/ . Cited 2023 Jun 11.

Bahtsevani C, Willman A, Khalaf A, Östman M, Ostman M. Developing an instrument for evaluating implementation of clinical practice guidelines: a test-retest study. J Eval Clin Pract. 2008;14(5):839–46. Available from: https://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=105569473&amp . Cited 2023 Jan 18.

Balbale SN, Hill JN, Guihan M, Hogan TP, Cameron KA, Goldstein B, et al. Evaluating implementation of methicillin-resistant Staphylococcus aureus (MRSA) prevention guidelines in spinal cord injury centers using the PARIHS framework: a mixed methods study. Implement Sci. 2015;10(1):130. Available from: https://pubmed.ncbi.nlm.nih.gov/26353798/ . Cited 2023 Apr 3.

Article   PubMed   PubMed Central   Google Scholar  

Breimaier HE, Heckemann B, Halfens RJGG, Lohrmann C. The Consolidated Framework for Implementation Research (CFIR): a useful theoretical framework for guiding and evaluating a guideline implementation process in a hospital-based nursing practice. BMC Nurs. 2015;14(1):43. Available from: https://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=109221169&amp . Cited 2023 Apr 3.

Chou AF, Vaughn TE, McCoy KD, Doebbeling BN. Implementation of evidence-based practices: Applying a goal commitment framework. Health Care Manage Rev. 2011;36(1):4–17. Available from: https://pubmed.ncbi.nlm.nih.gov/21157225/ . Cited 2023 Apr 30.

Porritt K, McArthur A, Lockwood C, Munn Z. JBI Manual for Evidence Implementation. JBI Handbook for Evidence Implementation. JBI; 2020. Available from: https://jbi-global-wiki.refined.site/space/JHEI . Cited 2023 Apr 3.

Jeong HJJ, Jo HSS, Oh MKK, Oh HWW. Applying the RE-AIM Framework to Evaluate the Dissemination and Implementation of Clinical Practice Guidelines for Sexually Transmitted Infections. J Korean Med Sci. 2015;30(7):847–52. Available from: https://pubmed.ncbi.nlm.nih.gov/26130944/ . Cited 2023 Apr 3.

GPC G de trabajo sobre implementación de. Implementación de Guías de Práctica Clínica en el Sistema Nacional de Salud. Manual Metodológico. 2009. Available from: https://portal.guiasalud.es/wp-content/uploads/2019/01/manual_implementacion.pdf . Cited 2023 Apr 3.

Australia C of. A guide to the development, implementation and evaluation of clinical practice guidelines. National Health and Medical Research Council; 1998. Available from: https://www.health.qld.gov.au/__data/assets/pdf_file/0029/143696/nhmrc_clinprgde.pdf .

Health Q. Guideline implementation checklist Translating evidence into best clinical practice. 2022.

Google Scholar  

Quittner AL, Abbott J, Hussain S, Ong T, Uluer A, Hempstead S, et al. Integration of mental health screening and treatment into cystic fibrosis clinics: Evaluation of initial implementation in 84 programs across the United States. Pediatr Pulmonol. 2020;55(11):2995–3004. Available from: https://www.embase.com/search/results?subaction=viewrecord&id=L2005630887&from=export . Cited 2023 Apr 3.

Urquhart R, Woodside H, Kendell C, Porter GA. Examining the implementation of clinical practice guidelines for the management of adult cancers: A mixed methods study. J Eval Clin Pract. 2019;25(4):656–63. Available from: https://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=137375535&amp . Cited 2023 Apr 3.

Yinghui J, Zhihui Z, Canran H, Flute Y, Yunyun W, Siyu Y, et al. Development and validation for evaluation of an evaluation tool for guideline implementation. Chinese J Evidence-Based Med. 2022;22(1):111–9. Available from: https://www.embase.com/search/results?subaction=viewrecord&id=L2016924877&from=export .

Breimaier HE, Halfens RJG, Lohrmann C. Effectiveness of multifaceted and tailored strategies to implement a fall-prevention guideline into acute care nursing practice: a before-and-after, mixed-method study using a participatory action research approach. BMC Nurs. 2015;14(1):18. Available from: https://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103220991&amp .

Lai J, Maher L, Li C, Zhou C, Alelayan H, Fu J, et al. Translation and cross-cultural adaptation of the National Health Service Sustainability Model to the Chinese healthcare context. BMC Nurs. 2023;22(1). Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153237164&doi=10.1186%2Fs12912-023-01293-x&partnerID=40&md5=0857c3163d25ce85e01363fc3a668654 .

Zhao J, Li X, Yan L, Yu Y, Hu J, Li SA, et al. The use of theories, frameworks, or models in knowledge translation studies in healthcare settings in China: a scoping review protocol. Syst Rev. 2021;10(1):13. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792291 .

Tabak RG, Khoong EC, Chambers DA, Brownson RC. Bridging research and practice: models for dissemination and implementation research. Am J Prev Med. 2012;43(3):337–50. Available from: https://pubmed.ncbi.nlm.nih.gov/22898128/ . Cited 2023 Apr 4.

Phulkerd S, Lawrence M, Vandevijvere S, Sacks G, Worsley A, Tangcharoensathien V. A review of methods and tools to assess the implementation of government policies to create healthy food environments for preventing obesity and diet-related non-communicable diseases. Implement Sci. 2016;11(1):1–13. Available from: https://implementationscience.biomedcentral.com/articles/10.1186/s13012-016-0379-5 . Cited 2022 May 1.

Buss PM, Pellegrini FA. A Saúde e seus Determinantes Sociais. PHYSIS Rev Saúde Coletiva. 2007;17(1):77–93.

Pereira VC, Silva SN, Carvalho VKSS, Zanghelini F, Barreto JOMM. Strategies for the implementation of clinical practice guidelines in public health: an overview of systematic reviews. Heal Res Policy Syst. 2022;20(1):13. Available from: https://health-policy-systems.biomedcentral.com/articles/10.1186/s12961-022-00815-4 . Cited 2022 Feb 21.

Grimshaw J, Eccles M, Tetroe J. Implementing clinical guidelines: current evidence and future implications. J Contin Educ Health Prof. 2004;24 Suppl 1:S31-7. Available from: https://pubmed.ncbi.nlm.nih.gov/15712775/ . Cited 2021 Nov 9.

Lotfi T, Stevens A, Akl EA, Falavigna M, Kredo T, Mathew JL, et al. Getting trustworthy guidelines into the hands of decision-makers and supporting their consideration of contextual factors for implementation globally: recommendation mapping of COVID-19 guidelines. J Clin Epidemiol. 2021;135:182–6. Available from: https://pubmed.ncbi.nlm.nih.gov/33836255/ . Cited 2024 Jan 25.

Lenzer J. Why we can’t trust clinical guidelines. BMJ. 2013;346(7913). Available from: https://pubmed.ncbi.nlm.nih.gov/23771225/ . Cited 2024 Jan 25.

Molino C de GRC, Ribeiro E, Romano-Lieber NS, Stein AT, de Melo DO. Methodological quality and transparency of clinical practice guidelines for the pharmacological treatment of non-communicable diseases using the AGREE II instrument: A systematic review protocol. Syst Rev. 2017;6(1):1–6. Available from: https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/s13643-017-0621-5 . Cited 2024 Jan 25.

Albers B, Mildon R, Lyon AR, Shlonsky A. Implementation frameworks in child, youth and family services – Results from a scoping review. Child Youth Serv Rev. 2017;1(81):101–16.

Download references

Acknowledgements

Not applicable

This study is supported by the Fundação de Apoio à Pesquisa do Distrito Federal (FAPDF). FAPDF Award Term (TOA) nº 44/2024—FAPDF/SUCTI/COOBE (SEI/GDF – Process 00193–00000404/2024–22). The content in this article is solely the responsibility of the authors and does not necessarily represent the official views of the FAPDF.

Author information

Authors and affiliations.

Department of Management and Incorporation of Health Technologies, Ministry of Health of Brazil, Brasília, Federal District, 70058-900, Brazil

Nicole Freitas de Mello & Dalila Fernandes Gomes

Postgraduate Program in Public Health, FS, University of Brasília (UnB), Brasília, Federal District, 70910-900, Brazil

Nicole Freitas de Mello, Dalila Fernandes Gomes & Jorge Otávio Maia Barreto

René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, 30190-002, Brazil

Sarah Nascimento Silva

Oswaldo Cruz Foundation - Brasília, Brasília, Federal District, 70904-130, Brazil

Juliana da Motta Girardi & Jorge Otávio Maia Barreto

You can also search for this author in PubMed   Google Scholar

Contributions

NFM and JOMB conceived the idea and the protocol for this study. NFM conducted the literature search. NFM, SNS, JMG and JOMB conducted the data collection with advice and consensus gathering from JOMB. The NFM and JMG assessed the quality of the studies. NFM and DFG conducted the data extraction. NFM performed the analysis and synthesis of the results with advice and consensus gathering from JOMB. NFM drafted the manuscript. JOMB critically revised the first version of the manuscript. All the authors revised and approved the submitted version.

Corresponding author

Correspondence to Nicole Freitas de Mello .

Ethics declarations

Ethics approval and consent to participate, consent for publication, competing interests.

The authors declare that they have no competing interests.

Additional information

Publisher’s note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

13012_2024_1389_moesm1_esm.docx.

Additional file 1: PRISMA checklist. Description of data: Completed PRISMA checklist used for reporting the results of this systematic review.

Additional file 2: Literature search. Description of data: The search strategies adapted for the electronic databases.

13012_2024_1389_moesm3_esm.doc.

Additional file 3: JBI’s critical appraisal tools for cross-sectional studies. Description of data: JBI’s critical appraisal tools to assess the trustworthiness, relevance, and results of the included studies. This is specific for cross-sectional studies.

13012_2024_1389_MOESM4_ESM.doc

Additional file 4: JBI’s critical appraisal tools for qualitative studies. Description of data: JBI’s critical appraisal tools to assess the trustworthiness, relevance, and results of the included studies. This is specific for qualitative studies.

13012_2024_1389_MOESM5_ESM.doc

Additional file 5: Methodological quality assessment results for cross-sectional studies. Description of data: Methodological quality assessment results for cross-sectional studies using JBI’s critical appraisal tools.

13012_2024_1389_MOESM6_ESM.doc

Additional file 6: Methodological quality assessment results for the qualitative studies. Description of data: Methodological quality assessment results for qualitative studies using JBI’s critical appraisal tools.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ .

Reprints and permissions

About this article

Cite this article.

Freitas de Mello, N., Nascimento Silva, S., Gomes, D.F. et al. Models and frameworks for assessing the implementation of clinical practice guidelines: a systematic review. Implementation Sci 19 , 59 (2024). https://doi.org/10.1186/s13012-024-01389-1

Download citation

Received : 06 February 2024

Accepted : 01 August 2024

Published : 07 August 2024

DOI : https://doi.org/10.1186/s13012-024-01389-1

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Implementation
• Practice guideline
• Evidence-Based Practice
• Implementation science

Implementation Science

ISSN: 1748-5908

• Submission enquiries: Access here and click Contact Us
• General enquiries: [email protected]