what is conceptual framework for qualitative research

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

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

Understanding conceptual frameworks

Selecting and developing your framework, variables in a conceptual framework.

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

Conceptual framework: Definition and theory

Theoretical and conceptual frameworks ultimately go hand in hand, but while there is significant overlap with theoretical perspectives and theoretical frameworks, understanding the essential differences is important when designing your research project.

Let's explore the idea of a conceptual framework, provide a few common examples, and discuss how to choose a framework for your study. Keep in mind that a conceptual framework will differ from a theoretical framework and that we will explore these differences in the next section.

In this section, we'll delve into the intricacies of conceptual frameworks and their role in qualitative research . They are essentially the scaffolding on which you hang your research questions and analysis . They define the concepts that you'll study and articulate the relationships among them.

Developing conceptual frameworks in research

At the most basic level, a conceptual framework is a visual or written product that explains, either graphically or in narrative form, the main things to be studied, the key factors, variables, or constructs, and any presumed relationships among them. It acts as a road map guiding the course of your research, directing what will be studied, and helping to organize and analyze the data.

The purpose of a conceptual framework

A conceptual framework serves multiple functions in a research project. It helps in clarifying the research problem and purpose, assists in refining the research questions, and guides the data collection and analysis process. It's the tool that ties all aspects of the study together, offering a coherent perspective for the researcher and readers to understand the research more holistically.

Relation between theoretical perspectives and conceptual frameworks

Theoretical perspectives offer overarching philosophies and assumptions that guide the research process, while conceptual frameworks are the specific devices that are derived from these perspectives to operationalize the study. If a theoretical perspective is the broad philosophical underpinning, a conceptual framework is a pragmatic approach that puts that philosophy into practice in the context of the study.

For instance, if you're working from a feminist theoretical perspective, your conceptual framework might involve specific constructs like gender roles, power dynamics , and societal norms, as well as the relationships between these constructs. The conceptual framework would be the lens through which you examine and interpret your data, guided by your theoretical perspective.

Critical theory

Critical theory is a theoretical perspective that seeks to confront social, historical, and ideological forces and structures that produce and constrain social problems. The corresponding conceptual framework might focus on constructs like power relations, historical context, and societal structures. For instance, a study on income inequality might have a conceptual framework involving constructs of socioeconomic status, institutional policies, and the distribution of resources.

Feminist theory

Feminist theory emphasizes the societal roles of gender and power relationships. A conceptual framework derived from this theory might involve constructs like gender roles, power dynamics, and societal norms. In a study about gender representation in media, a feminist conceptual framework could involve constructs such as stereotyping, representation, and societal expectations of gender.

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Choosing and developing your conceptual framework is a pivotal process in your research design. This framework will help guide your study, inform your methodology , and shape your analysis .

Factors to consider when choosing a framework

Your conceptual framework should be derived from and align with your chosen theoretical perspective , but there are other considerations as well. It should resonate with your research question , problem, or purpose and be applicable to the specific context or population you are studying. You should also consider the feasibility of operationalizing the constructs in your framework.

When selecting a conceptual framework, consider the following questions:

1. How does this framework relate to my research topic? 2. Can I use this framework to effectively address my research question(s)? 3. Does this framework resonate with the population and context I'm studying? 4. Can the constructs in this framework be feasibly operationalized in my study?

Steps in developing a conceptual framework

Developing your conceptual framework involves a few key steps:

1. Identify key constructs: Based on your theoretical perspective and research question(s) , what are the main constructs or variables that you need to explore in your study? 2. Clarify relationships among constructs: How do these constructs relate to each other? Are there presumed causal relationships, correlations, or other types of associations? 3. Define each construct: Clearly define what each construct means in the context of your study. This might also involve operationalizing each construct or defining the indicators you will use to measure or identify each construct. 4. Create a visual representation : It is often extremely helpful to create a visual representation of your conceptual framework to illustrate the constructs and their relationships. Map out the relationships among constructs to develop a holistic understanding of what you want to study.

Remember, your conceptual framework is not set in stone. You can start creating your conceptual framework based on your literature review and your own critical reflections. As you proceed with your study, you might need to refine or adapt your conceptual framework based on what you're learning from your data. Developing a robust framework is an iterative process that requires critical thinking, creativity, and flexibility.

A strong conceptual framework includes variables that refer to the constructs or characteristics that are being studied. They are the building blocks of your research study. It might be helpful to think about how the variables in your conceptual framework could be categorized as independent and dependent variables, which respectively influence and are influenced within the research study.

Independent variables and dependent variables

An independent variable is the characteristic or condition that is manipulated or selected by the researcher to determine its effect on the dependent variable. For example, in a study exploring the impact of classroom size on student engagement, classroom size would be the independent variable.

The dependent variable is the main outcome that the researcher is interested in studying or explaining. In the example given above, student engagement would be the dependent variable, as it's the outcome being observed for any changes in response to the independent variable (classroom size). In essence, defining these variables can help you identify the cause-and-effect relationships in your study. While it might be difficult to know beforehand exactly which variables will be important and how they relate to one another, this is a helpful thought exercise to flesh out potential relationships among variables you may want to study.

Relationships among variables

Within a conceptual framework, the dependent and independent variables are listed in addition to their proposed relationships to each other. The ways in which these variables influence one another form the crux of the propositions or assumptions that guide your research.

In a conceptual framework based on the theoretical perspective of constructivism, for instance, the independent variable might be a teaching method (as constructivists would argue that methods of instruction can shape learning), and the dependent variable could be the depth of student understanding. The proposed relationship between these variables might be that student-centered teaching methods lead to a deeper understanding, which would guide the data collection and analysis such that this proposition could be explored.

However, it is important to note that the terminology of independent and dependent variables is more typical of quantitative research , in which independent and dependent variables are operationalized in hypotheses that will be tested based on pre-established theory. In qualitative research , the relationships between variables are more fluid and open-ended because the focus is often more on understanding the phenomenon as a whole and building a contextualized understanding of the research problem. This can involve including new or unexpected variables and interrelationships that emerge during the study, thus extending previous theory or understanding that didn’t initially predict these relationships.

Thus, in your conceptual framework, rather than solely focusing on identifying independent and dependent variables, consider how various factors interact and influence one another within the context of your study. Your conceptual framework should provide a holistic picture of the complexity of the phenomenon you are studying.

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Home » Conceptual Framework – Types, Methodology and Examples

Conceptual Framework – Types, Methodology and Examples

Table of Contents

Conceptual Framework

Definition:

A conceptual framework is a structured approach to organizing and understanding complex ideas, theories, or concepts. It provides a systematic and coherent way of thinking about a problem or topic, and helps to guide research or analysis in a particular field.

A conceptual framework typically includes a set of assumptions, concepts, and propositions that form a theoretical framework for understanding a particular phenomenon. It can be used to develop hypotheses, guide empirical research, or provide a framework for evaluating and interpreting data.

Conceptual Framework in Research

In research, a conceptual framework is a theoretical structure that provides a framework for understanding a particular phenomenon or problem. It is a key component of any research project and helps to guide the research process from start to finish.

A conceptual framework provides a clear understanding of the variables, relationships, and assumptions that underpin a research study. It outlines the key concepts that the study is investigating and how they are related to each other. It also defines the scope of the study and sets out the research questions or hypotheses.

Types of Conceptual Framework

Types of Conceptual Framework are as follows:

Theoretical Framework

A theoretical framework is an overarching set of concepts, ideas, and assumptions that help to explain and interpret a phenomenon. It provides a theoretical perspective on the phenomenon being studied and helps researchers to identify the relationships between different concepts. For example, a theoretical framework for a study on the impact of social media on mental health might draw on theories of communication, social influence, and psychological well-being.

Conceptual Model

A conceptual model is a visual or written representation of a complex system or phenomenon. It helps to identify the main components of the system and the relationships between them. For example, a conceptual model for a study on the factors that influence employee turnover might include factors such as job satisfaction, salary, work-life balance, and job security, and the relationships between them.

Empirical Framework

An empirical framework is based on empirical data and helps to explain a particular phenomenon. It involves collecting data, analyzing it, and developing a framework to explain the results. For example, an empirical framework for a study on the impact of a new health intervention might involve collecting data on the intervention’s effectiveness, cost, and acceptability to patients.

Descriptive Framework

A descriptive framework is used to describe a particular phenomenon. It helps to identify the main characteristics of the phenomenon and to develop a vocabulary to describe it. For example, a descriptive framework for a study on different types of musical genres might include descriptions of the instruments used, the rhythms and beats, the vocal styles, and the cultural contexts of each genre.

Analytical Framework

An analytical framework is used to analyze a particular phenomenon. It involves breaking down the phenomenon into its constituent parts and analyzing them separately. This type of framework is often used in social science research. For example, an analytical framework for a study on the impact of race on police brutality might involve analyzing the historical and cultural factors that contribute to racial bias, the organizational factors that influence police behavior, and the psychological factors that influence individual officers’ behavior.

Conceptual Framework for Policy Analysis

A conceptual framework for policy analysis is used to guide the development of policies or programs. It helps policymakers to identify the key issues and to develop strategies to address them. For example, a conceptual framework for a policy analysis on climate change might involve identifying the key stakeholders, assessing their interests and concerns, and developing policy options to mitigate the impacts of climate change.

Logical Frameworks

Logical frameworks are used to plan and evaluate projects and programs. They provide a structured approach to identifying project goals, objectives, and outcomes, and help to ensure that all stakeholders are aligned and working towards the same objectives.

Conceptual Frameworks for Program Evaluation

These frameworks are used to evaluate the effectiveness of programs or interventions. They provide a structure for identifying program goals, objectives, and outcomes, and help to measure the impact of the program on its intended beneficiaries.

Conceptual Frameworks for Organizational Analysis

These frameworks are used to analyze and evaluate organizational structures, processes, and performance. They provide a structured approach to understanding the relationships between different departments, functions, and stakeholders within an organization.

Conceptual Frameworks for Strategic Planning

These frameworks are used to develop and implement strategic plans for organizations or businesses. They help to identify the key factors and stakeholders that will impact the success of the plan, and provide a structure for setting goals, developing strategies, and monitoring progress.

Components of Conceptual Framework

The components of a conceptual framework typically include:

• Research question or problem statement : This component defines the problem or question that the conceptual framework seeks to address. It sets the stage for the development of the framework and guides the selection of the relevant concepts and constructs.
• Concepts : These are the general ideas, principles, or categories that are used to describe and explain the phenomenon or problem under investigation. Concepts provide the building blocks of the framework and help to establish a common language for discussing the issue.
• Constructs : Constructs are the specific variables or concepts that are used to operationalize the general concepts. They are measurable or observable and serve as indicators of the underlying concept.
• Propositions or hypotheses : These are statements that describe the relationships between the concepts or constructs in the framework. They provide a basis for testing the validity of the framework and for generating new insights or theories.
• Assumptions : These are the underlying beliefs or values that shape the framework. They may be explicit or implicit and may influence the selection and interpretation of the concepts and constructs.
• Boundaries : These are the limits or scope of the framework. They define the focus of the investigation and help to clarify what is included and excluded from the analysis.
• Context : This component refers to the broader social, cultural, and historical factors that shape the phenomenon or problem under investigation. It helps to situate the framework within a larger theoretical or empirical context and to identify the relevant variables and factors that may affect the phenomenon.
• Relationships and connections: These are the connections and interrelationships between the different components of the conceptual framework. They describe how the concepts and constructs are linked and how they contribute to the overall understanding of the phenomenon or problem.
• Variables : These are the factors that are being measured or observed in the study. They are often operationalized as constructs and are used to test the propositions or hypotheses.
• Methodology : This component describes the research methods and techniques that will be used to collect and analyze data. It includes the sampling strategy, data collection methods, data analysis techniques, and ethical considerations.
• Literature review : This component provides an overview of the existing research and theories related to the phenomenon or problem under investigation. It helps to identify the gaps in the literature and to situate the framework within the broader theoretical and empirical context.
• Outcomes and implications: These are the expected outcomes or implications of the study. They describe the potential contributions of the study to the theoretical and empirical knowledge in the field and the practical implications for policy and practice.

Conceptual Framework Methodology

Conceptual Framework Methodology is a research method that is commonly used in academic and scientific research to develop a theoretical framework for a study. It is a systematic approach that helps researchers to organize their thoughts and ideas, identify the variables that are relevant to their study, and establish the relationships between these variables.

Here are the steps involved in the conceptual framework methodology:

Identify the Research Problem

The first step is to identify the research problem or question that the study aims to answer. This involves identifying the gaps in the existing literature and determining what specific issue the study aims to address.

Conduct a Literature Review

The second step involves conducting a thorough literature review to identify the existing theories, models, and frameworks that are relevant to the research question. This will help the researcher to identify the key concepts and variables that need to be considered in the study.

Define key Concepts and Variables

The next step is to define the key concepts and variables that are relevant to the study. This involves clearly defining the terms used in the study, and identifying the factors that will be measured or observed in the study.

Develop a Theoretical Framework

Once the key concepts and variables have been identified, the researcher can develop a theoretical framework. This involves establishing the relationships between the key concepts and variables, and creating a visual representation of these relationships.

Test the Framework

The final step is to test the theoretical framework using empirical data. This involves collecting and analyzing data to determine whether the relationships between the key concepts and variables that were identified in the framework are accurate and valid.

Examples of Conceptual Framework

Some realtime Examples of Conceptual Framework are as follows:

• In economics , the concept of supply and demand is a well-known conceptual framework. It provides a structure for understanding how prices are set in a market, based on the interplay of the quantity of goods supplied by producers and the quantity of goods demanded by consumers.
• In psychology , the cognitive-behavioral framework is a widely used conceptual framework for understanding mental health and illness. It emphasizes the role of thoughts and behaviors in shaping emotions and the importance of cognitive restructuring and behavior change in treatment.
• In sociology , the social determinants of health framework provides a way of understanding how social and economic factors such as income, education, and race influence health outcomes. This framework is widely used in public health research and policy.
• In environmental science , the ecosystem services framework is a way of understanding the benefits that humans derive from natural ecosystems, such as clean air and water, pollination, and carbon storage. This framework is used to guide conservation and land-use decisions.
• In education, the constructivist framework is a way of understanding how learners construct knowledge through active engagement with their environment. This framework is used to guide instructional design and teaching strategies.

Applications of Conceptual Framework

Some of the applications of Conceptual Frameworks are as follows:

• Research : Conceptual frameworks are used in research to guide the design, implementation, and interpretation of studies. Researchers use conceptual frameworks to develop hypotheses, identify research questions, and select appropriate methods for collecting and analyzing data.
• Policy: Conceptual frameworks are used in policy-making to guide the development of policies and programs. Policymakers use conceptual frameworks to identify key factors that influence a particular problem or issue, and to develop strategies for addressing them.
• Education : Conceptual frameworks are used in education to guide the design and implementation of instructional strategies and curriculum. Educators use conceptual frameworks to identify learning objectives, select appropriate teaching methods, and assess student learning.
• Management : Conceptual frameworks are used in management to guide decision-making and strategy development. Managers use conceptual frameworks to understand the internal and external factors that influence their organizations, and to develop strategies for achieving their goals.
• Evaluation : Conceptual frameworks are used in evaluation to guide the development of evaluation plans and to interpret evaluation results. Evaluators use conceptual frameworks to identify key outcomes, indicators, and measures, and to develop a logic model for their evaluation.

Purpose of Conceptual Framework

The purpose of a conceptual framework is to provide a theoretical foundation for understanding and analyzing complex phenomena. Conceptual frameworks help to:

• Guide research : Conceptual frameworks provide a framework for researchers to develop hypotheses, identify research questions, and select appropriate methods for collecting and analyzing data. By providing a theoretical foundation for research, conceptual frameworks help to ensure that research is rigorous, systematic, and valid.
• Provide clarity: Conceptual frameworks help to provide clarity and structure to complex phenomena by identifying key concepts, relationships, and processes. By providing a clear and systematic understanding of a phenomenon, conceptual frameworks help to ensure that researchers, policymakers, and practitioners are all on the same page when it comes to understanding the issue at hand.
• Inform decision-making : Conceptual frameworks can be used to inform decision-making and strategy development by identifying key factors that influence a particular problem or issue. By understanding the complex interplay of factors that contribute to a particular issue, decision-makers can develop more effective strategies for addressing the problem.
• Facilitate communication : Conceptual frameworks provide a common language and conceptual framework for researchers, policymakers, and practitioners to communicate and collaborate on complex issues. By providing a shared understanding of a phenomenon, conceptual frameworks help to ensure that everyone is working towards the same goal.

When to use Conceptual Framework

There are several situations when it is appropriate to use a conceptual framework:

• To guide the research : A conceptual framework can be used to guide the research process by providing a clear roadmap for the research project. It can help researchers identify key variables and relationships, and develop hypotheses or research questions.
• To clarify concepts : A conceptual framework can be used to clarify and define key concepts and terms used in a research project. It can help ensure that all researchers are using the same language and have a shared understanding of the concepts being studied.
• To provide a theoretical basis: A conceptual framework can provide a theoretical basis for a research project by linking it to existing theories or conceptual models. This can help researchers build on previous research and contribute to the development of a field.
• To identify gaps in knowledge : A conceptual framework can help identify gaps in existing knowledge by highlighting areas that require further research or investigation.
• To communicate findings : A conceptual framework can be used to communicate research findings by providing a clear and concise summary of the key variables, relationships, and assumptions that underpin the research project.

Characteristics of Conceptual Framework

key characteristics of a conceptual framework are:

• Clear definition of key concepts : A conceptual framework should clearly define the key concepts and terms being used in a research project. This ensures that all researchers have a shared understanding of the concepts being studied.
• Identification of key variables: A conceptual framework should identify the key variables that are being studied and how they are related to each other. This helps to organize the research project and provides a clear focus for the study.
• Logical structure: A conceptual framework should have a logical structure that connects the key concepts and variables being studied. This helps to ensure that the research project is coherent and consistent.
• Based on existing theory : A conceptual framework should be based on existing theory or conceptual models. This helps to ensure that the research project is grounded in existing knowledge and builds on previous research.
• Testable hypotheses or research questions: A conceptual framework should include testable hypotheses or research questions that can be answered through empirical research. This helps to ensure that the research project is rigorous and scientifically valid.
• Flexibility : A conceptual framework should be flexible enough to allow for modifications as new information is gathered during the research process. This helps to ensure that the research project is responsive to new findings and is able to adapt to changing circumstances.

Advantages of Conceptual Framework

Advantages of the Conceptual Framework are as follows:

• Clarity : A conceptual framework provides clarity to researchers by outlining the key concepts and variables that are relevant to the research project. This clarity helps researchers to focus on the most important aspects of the research problem and develop a clear plan for investigating it.
• Direction : A conceptual framework provides direction to researchers by helping them to develop hypotheses or research questions that are grounded in existing theory or conceptual models. This direction ensures that the research project is relevant and contributes to the development of the field.
• Efficiency : A conceptual framework can increase efficiency in the research process by providing a structure for organizing ideas and data. This structure can help researchers to avoid redundancies and inconsistencies in their work, saving time and effort.
• Rigor : A conceptual framework can help to ensure the rigor of a research project by providing a theoretical basis for the investigation. This rigor is essential for ensuring that the research project is scientifically valid and produces meaningful results.
• Communication : A conceptual framework can facilitate communication between researchers by providing a shared language and understanding of the key concepts and variables being studied. This communication is essential for collaboration and the advancement of knowledge in the field.
• Generalization : A conceptual framework can help to generalize research findings beyond the specific study by providing a theoretical basis for the investigation. This generalization is essential for the development of knowledge in the field and for informing future research.

Limitations of Conceptual Framework

Limitations of Conceptual Framework are as follows:

• Limited applicability: Conceptual frameworks are often based on existing theory or conceptual models, which may not be applicable to all research problems or contexts. This can limit the usefulness of a conceptual framework in certain situations.
• Lack of empirical support : While a conceptual framework can provide a theoretical basis for a research project, it may not be supported by empirical evidence. This can limit the usefulness of a conceptual framework in guiding empirical research.
• Narrow focus: A conceptual framework can provide a clear focus for a research project, but it may also limit the scope of the investigation. This can make it difficult to address broader research questions or to consider alternative perspectives.
• Over-simplification: A conceptual framework can help to organize and structure research ideas, but it may also over-simplify complex phenomena. This can limit the depth of the investigation and the richness of the data collected.
• Inflexibility : A conceptual framework can provide a structure for organizing research ideas, but it may also be inflexible in the face of new data or unexpected findings. This can limit the ability of researchers to adapt their research project to new information or changing circumstances.
• Difficulty in development : Developing a conceptual framework can be a challenging and time-consuming process. It requires a thorough understanding of existing theory or conceptual models, and may require collaboration with other researchers.

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How to Use a Conceptual Framework for Better Research

A conceptual framework in research is not just a tool but a vital roadmap that guides the entire research process. It integrates various theories, assumptions, and beliefs to provide a structured approach to research. By defining a conceptual framework, researchers can focus their inquiries and clarify their hypotheses, leading to more effective and meaningful research outcomes.

What is a Conceptual Framework?

A conceptual framework is essentially an analytical tool that combines concepts and sets them within an appropriate theoretical structure. It serves as a lens through which researchers view the complexities of the real world. The importance of a conceptual framework lies in its ability to serve as a guide, helping researchers to not only visualize but also systematically approach their study.

Key Components and to be Analyzed During Research

• Theories: These are the underlying principles that guide the hypotheses and assumptions of the research.
• Assumptions: These are the accepted truths that are not tested within the scope of the research but are essential for framing the study.
• Beliefs: These often reflect the subjective viewpoints that may influence the interpretation of data.
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Together, these components help to define the conceptual framework that directs the research towards its ultimate goal. This structured approach not only improves clarity but also enhances the validity and reliability of the research outcomes. By using a conceptual framework, researchers can avoid common pitfalls and focus on essential variables and relationships.

For practical examples and to see how different frameworks can be applied in various research scenarios, you can Explore Conceptual Framework Examples .

Different Types of Conceptual Frameworks Used in Research

Understanding the various types of conceptual frameworks is crucial for researchers aiming to align their studies with the most effective structure. Conceptual frameworks in research vary primarily between theoretical and operational frameworks, each serving distinct purposes and suiting different research methodologies.

Theoretical vs Operational Frameworks

Theoretical frameworks are built upon existing theories and literature, providing a broad and abstract understanding of the research topic. They help in forming the basis of the study by linking the research to already established scholarly works. On the other hand, operational frameworks are more practical, focusing on how the study’s theories will be tested through specific procedures and variables.

• Theoretical frameworks are ideal for exploratory studies and can help in understanding complex phenomena.
• Operational frameworks suit studies requiring precise measurement and data analysis.

Choosing the Right Framework

Selecting the appropriate conceptual framework is pivotal for the success of a research project. It involves matching the research questions with the framework that best addresses the methodological needs of the study. For instance, a theoretical framework might be chosen for studies that aim to generate new theories, while an operational framework would be better suited for testing specific hypotheses.

Benefits of choosing the right framework include enhanced clarity, better alignment with research goals, and improved validity of research outcomes. Tools like Table Chart Maker can be instrumental in visually comparing the strengths and weaknesses of different frameworks, aiding in this crucial decision-making process.

Real-World Examples of Conceptual Frameworks in Research

Understanding the practical application of conceptual frameworks in research can significantly enhance the clarity and effectiveness of your studies. Here, we explore several real-world case studies that demonstrate the pivotal role of conceptual frameworks in achieving robust research conclusions.

• Healthcare Research: In a study examining the impact of lifestyle choices on chronic diseases, researchers used a conceptual framework to link dietary habits, exercise, and genetic predispositions. This framework helped in identifying key variables and their interrelations, leading to more targeted interventions.
• Educational Development: Educational theorists often employ conceptual frameworks to explore the dynamics between teaching methods and student learning outcomes. One notable study mapped out the influences of digital tools on learning engagement, providing insights that shaped educational policies.
• Environmental Policy: Conceptual frameworks have been crucial in environmental research, particularly in studies on climate change adaptation. By framing the relationships between human activity, ecological changes, and policy responses, researchers have been able to propose more effective sustainability strategies.

Adapting conceptual frameworks based on evolving research data is also critical. As new information becomes available, it’s essential to revisit and adjust the framework to maintain its relevance and accuracy, ensuring that the research remains aligned with real-world conditions.

For those looking to visualize and better comprehend their research frameworks, Graphic Organizers for Conceptual Frameworks can be an invaluable tool. These organizers help in structuring and presenting research findings clearly, enhancing both the process and the presentation of your research.

Step-by-Step Guide to Creating Your Own Conceptual Framework

Creating a conceptual framework is a critical step in structuring your research to ensure clarity and focus. This guide will walk you through the process of building a robust framework, from identifying key concepts to refining your approach as your research evolves.

Building Blocks of a Conceptual Framework

• Identify and Define Main Concepts and Variables: Start by clearly identifying the main concepts, variables, and their relationships that will form the basis of your research. This could include defining key terms and establishing the scope of your study.
• Develop a Hypothesis or Primary Research Question: Formulate a central hypothesis or question that guides the direction of your research. This will serve as the foundation upon which your conceptual framework is built.
• Link Theories and Concepts Logically: Connect your identified concepts and variables with existing theories to create a coherent structure. This logical linking helps in forming a strong theoretical base for your research.

Visualizing and Refining Your Framework

Using visual tools can significantly enhance the clarity and effectiveness of your conceptual framework. Decision Tree Templates for Conceptual Frameworks can be particularly useful in mapping out the relationships between variables and hypotheses.

Map Your Framework: Utilize tools like Creately’s visual canvas to diagram your framework. This visual representation helps in identifying gaps or overlaps in your framework and provides a clear overview of your research structure.

Analyze and Refine: As your research progresses, continuously evaluate and refine your framework. Adjustments may be necessary as new data comes to light or as initial assumptions are challenged.

By following these steps, you can ensure that your conceptual framework is not only well-defined but also adaptable to the changing dynamics of your research.

Practical Tips for Utilizing Conceptual Frameworks in Research

Effectively utilizing a conceptual framework in research not only streamlines the process but also enhances the clarity and coherence of your findings. Here are some practical tips to maximize the use of conceptual frameworks in your research endeavors.

• Setting Clear Research Goals: Begin by defining precise objectives that are aligned with your research questions. This clarity will guide your entire research process, ensuring that every step you take is purposeful and directly contributes to your overall study aims. \
• Maintaining Focus and Coherence: Throughout the research, consistently refer back to your conceptual framework to maintain focus. This will help in keeping your research aligned with the initial goals and prevent deviations that could dilute the effectiveness of your findings.
• Data Analysis and Interpretation: Use your conceptual framework as a lens through which to view and interpret data. This approach ensures that the data analysis is not only systematic but also meaningful in the context of your research objectives. For more insights, explore Research Data Analysis Methods .
• Presenting Research Findings: When it comes time to present your findings, structure your presentation around the conceptual framework . This will help your audience understand the logical flow of your research and how each part contributes to the whole.
• Avoiding Common Pitfalls: Be vigilant about common errors such as overcomplicating the framework or misaligning the research methods with the framework’s structure. Keeping it simple and aligned ensures that the framework effectively supports your research.

By adhering to these tips and utilizing tools like 7 Essential Visual Tools for Social Work Assessment , researchers can ensure that their conceptual frameworks are not only robust but also practically applicable in their studies.

How Creately Enhances the Creation and Use of Conceptual Frameworks

Creating a robust conceptual framework is pivotal for effective research, and Creately’s suite of visual tools offers unparalleled support in this endeavor. By leveraging Creately’s features, researchers can visualize, organize, and analyze their research frameworks more efficiently.

• Visual Mapping of Research Plans: Creately’s infinite visual canvas allows researchers to map out their entire research plan visually. This helps in understanding the complex relationships between different research variables and theories, enhancing the clarity and effectiveness of the research process.
• Brainstorming with Mind Maps: Using Mind Mapping Software , researchers can generate and organize ideas dynamically. Creately’s intelligent formatting helps in brainstorming sessions, making it easier to explore multiple topics or delve deeply into specific concepts.
• Centralized Data Management: Creately enables the importation of data from multiple sources, which can be integrated into the visual research framework. This centralization aids in maintaining a cohesive and comprehensive overview of all research elements, ensuring that no critical information is overlooked.
• Communication and Collaboration: The platform supports real-time collaboration, allowing teams to work together seamlessly, regardless of their physical location. This feature is crucial for research teams spread across different geographies, facilitating effective communication and iterative feedback throughout the research process.

Moreover, the ability t Explore Conceptual Framework Examples directly within Creately inspires researchers by providing practical templates and examples that can be customized to suit specific research needs. This not only saves time but also enhances the quality of the conceptual framework developed.

In conclusion, Creately’s tools for creating and managing conceptual frameworks are indispensable for researchers aiming to achieve clear, structured, and impactful research outcomes.

Join over thousands of organizations that use Creately to brainstorm, plan, analyze, and execute their projects successfully.

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Use of theoretical and conceptual frameworks in qualitative research

Affiliation.

• 1 University of Leeds, UK.
• PMID: 25059086
• DOI: 10.7748/nr.21.6.34.e1252

Aim: To debate the definition and use of theoretical and conceptual frameworks in qualitative research.

Background: There is a paucity of literature to help the novice researcher to understand what theoretical and conceptual frameworks are and how they should be used. This paper acknowledges the interchangeable usage of these terms and researchers' confusion about the differences between the two. It discusses how researchers have used theoretical and conceptual frameworks and the notion of conceptual models. Detail is given about how one researcher incorporated a conceptual framework throughout a research project, the purpose for doing so and how this led to a resultant conceptual model.

Review methods: Concepts from Abbott (1988) and Witz ( 1992 ) were used to provide a framework for research involving two case study sites. The framework was used to determine research questions and give direction to interviews and discussions to focus the research.

Discussion: Some research methods do not overtly use a theoretical framework or conceptual framework in their design, but this is implicit and underpins the method design, for example in grounded theory. Other qualitative methods use one or the other to frame the design of a research project or to explain the outcomes. An example is given of how a conceptual framework was used throughout a research project.

Conclusion: Theoretical and conceptual frameworks are terms that are regularly used in research but rarely explained. Textbooks should discuss what they are and how they can be used, so novice researchers understand how they can help with research design.

Implications for practice/research: Theoretical and conceptual frameworks need to be more clearly understood by researchers and correct terminology used to ensure clarity for novice researchers.

Keywords: Theoretical framework; case study; case study research.; conceptual framework; conceptual model; qualitative research; research design.

• Nursing Research / organization & administration*
• Qualitative Research*
• Research Design

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Chapter 4: Theoretical frameworks for qualitative research

Tess Tsindos

Learning outcomes

Upon completion of this chapter, you should be able to:

• Describe qualitative frameworks.
• Explain why frameworks are used in qualitative research.
• Identify various frameworks used in qualitative research.

What is a Framework?

A framework is a set of broad concepts or principles used to guide research.  As described by Varpio and colleagues 1 , a framework is a logically developed and connected set of concepts and premises – developed from one or more theories – that a researcher uses as a scaffold for their study. The researcher must define any concepts and theories that will provide the grounding for the research and link them through logical connections, and must relate these concepts to the study that is being carried out. In using a particular theory to guide their study, the researcher needs to ensure that the theoretical framework is reflected in the work in which they are engaged.

It is important to acknowledge that the terms ‘theories’ ( see Chapter 3 ), ‘frameworks’ and ‘paradigms’ are sometimes used interchangeably. However, there are differences between these concepts. To complicate matters further, theoretical frameworks and conceptual frameworks are also used. In addition, quantitative and qualitative researchers usually start from different standpoints in terms of theories and frameworks.

A diagram by Varpio and colleagues demonstrates the similarities and differences between theories and frameworks, and how they influence research approaches. 1(p991) The diagram displays the objectivist or deductive approach to research on the left-hand side. Note how the conceptual framework is first finalised before any research is commenced, and it involves the articulation of hypotheses that are to be tested using the data collected. This is often referred to as a top-down approach and/or a general (theory or framework) to a specific (data) approach.

The diagram displays the subjectivist or inductive approach to research on the right-hand side. Note how data is collected first, and through data analysis, a tentative framework is proposed. The framework is then firmed up as new insights are gained from the data analysis. This is referred to as a specific (data) to general (theory and framework) approach .

Why d o w e u se f rameworks?

A framework helps guide the questions used to elicit your data collection. A framework is not prescriptive, but it needs to be suitable for the research question(s), setting and participants. Therefore, the researcher might use different frameworks to guide different research studies.

A framework informs the study’s recruitment and sampling, and informs, guides or structures how data is collected and analysed. For example, a framework concerned with health systems will assist the researcher to analyse the data in a certain way, while a framework concerned with psychological development will have very different ways of approaching the analysis of data. This is due to the differences underpinning the concepts and premises concerned with investigating health systems, compared to the study of psychological development. The framework adopted also guides emerging interpretations of the data and helps in comparing and contrasting data across participants, cases and studies.

Some examples of foundational frameworks used to guide qualitative research in health services and public health:

• The Behaviour Change Wheel 2
• Consolidated Framework for Implementation Research (CFIR) 3
• Theoretical framework of acceptability 4
• Normalization Process Theory 5
• Candidacy Framework 6
• Aboriginal social determinants of health 7(p8)
• Social determinants of health 8
• Social model of health 9,10
• Systems theory 11
• Biopsychosocial model 12
• Discipline-specific models
• Disease-specific frameworks

E xamples of f rameworks

In Table 4.1, citations of published papers are included to demonstrate how the particular framework helps to ‘frame’ the research question and the interpretation of results.

Table 4.1. Frameworks and references

As discussed in Chapter 3, qualitative research is not an absolute science. While not all research may need a framework or theory (particularly descriptive studies, outlined in Chapter 5), the use of a framework or theory can help to position the research questions, research processes and conclusions and implications within the relevant research paradigm. Theories and frameworks also help to bring to focus areas of the research problem that may not have been considered.

• Varpio L, Paradis E, Uijtdehaage S, Young M. The distinctions between theory, theoretical framework, and conceptual framework. Acad Med . 2020;95(7):989-994. doi:10.1097/ACM.0000000000003075
• Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci .  2011;6:42. doi:10.1186/1748-5908-6-42
• CFIR Research Team. Consolidated Framework for Implementation Research (CFIR). Center for Clinical Management Research. 2023. Accessed February 15, 2023. https://cfirguide.org/
• Sekhon M, Cartwright M, Francis JJ. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res . 2017;17:88. doi:10.1186/s12913-017-2031-8
• Murray E, Treweek S, Pope C, et al. Normalisation process theory: a framework for developing, evaluating and implementing complex interventions. BMC Med .  2010;8:63. doi:10.1186/1741-7015-8-63
• Tookey S, Renzi C, Waller J, von Wagner C, Whitaker KL. Using the candidacy framework to understand how doctor-patient interactions influence perceived eligibility to seek help for cancer alarm symptoms: a qualitative interview study. BMC Health Serv Res . 2018;18(1):937. doi:10.1186/s12913-018-3730-5
• Lyon P. Aboriginal Health in Aboriginal Hands: Community-Controlled Comprehensive Primary Health Care @ Central Australian Aboriginal Congress; 2016. Accessed February 15, 2023. https://nacchocommunique.com/wp-content/uploads/2017/09/cphc-congress-final-report.pdf
• Solar O., Irwin A. A Conceptual Framework for Action on the Social Determinants of Health:   Social Determinants of Health Discussion Paper 2 (Policy and Practice); 2010. Accessed February 22, 2023. https://www.who.int/publications/i/item/9789241500852
• Yuill C, Crinson I, Duncan E. Key Concepts in Health Studies . SAGE Publications; 2010.
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• Laszlo A, Krippner S. Systems theories: their origins, foundations, and development. In: Jordan JS, ed. Advances in Psychology . Science Direct; 1998:47-74.
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• Schmidtke KA, Drinkwater KG. A cross-sectional survey assessing the influence of theoretically informed behavioural factors on hand hygiene across seven countries during the COVID-19 pandemic. BMC Public Health . 2021;21:1432. doi:10.1186/s12889-021-11491-4
• Graham-Wisener L, Nelson A, Byrne A, et al. Understanding public attitudes to death talk and advance care planning in Northern Ireland using health behaviour change theory: a qualitative study. BMC Public Health . 2022;22:906. doi:10.1186/s12889-022-13319-1
• Walker R, Quong S, Olivier P, Wu L, Xie J, Boyle J. Empowerment for behaviour change through social connections: a qualitative exploration of women’s preferences in preconception health promotion in the state of Victoria, Australia. BMC Public Health . 2022;22:1642. doi:10.1186/s12889-022-14028-5
• Ayton DR, Barker AL, Morello RT, et al. Barriers and enablers to the implementation of the 6-PACK falls prevention program: a pre-implementation study in hospitals participating in a cluster randomised controlled trial. PLOS ONE . 2017;12(2):e0171932. doi:10.1371/journal.pone.0171932
• Pratt R, Xiong S, Kmiecik A, et al. The implementation of a smoking cessation and alcohol abstinence intervention for people experiencing homelessness. BMC Public Health . 2022;22:1260. doi:10.1186/s12889-022-13563-5
• Bossert J, Mahler C, Boltenhagen U, et al. Protocol for the process evaluation of a counselling intervention designed to educate cancer patients on complementary and integrative health care and promote interprofessional collaboration in this area (the CCC-Integrativ study). PLOS ONE . 2022;17(5):e0268091. doi:10.1371/journal.pone.0268091
• Lwin KS, Bhandari AKC, Nguyen PT, et al. Factors influencing implementation of health-promoting interventions at workplaces: protocol for a scoping review. PLOS ONE . 2022;17(10):e0275887. doi:10.1371/journal.pone.0275887
• Wilhelm AK, Schwedhelm M, Bigelow M, et al. Evaluation of a school-based participatory intervention to improve school environments using the Consolidated Framework for Implementation Research. BMC Public Health . 2021;21:1615. doi:10.1186/s12889-021-11644-5
• Timm L, Annerstedt KS, Ahlgren JÁ, et al. Application of the Theoretical Framework of Acceptability to assess a telephone-facilitated health coaching intervention for the prevention and management of type 2 diabetes. PLOS ONE . 2022;17(10):e0275576. doi:10.1371/journal.pone.0275576
• Laing L, Salema N-E, Jeffries M, et al. Understanding factors that could influence patient acceptability of the use of the PINCER intervention in primary care: a qualitative exploration using the Theoretical Framework of Acceptability. PLOS ONE . 2022;17(10):e0275633. doi:10.1371/journal.pone.0275633
• Renko E, Knittle K, Palsola M, Lintunen T, Hankonen N. Acceptability, reach and implementation of a training to enhance teachers’ skills in physical activity promotion. BMC Public Health . 2020;20:1568. doi:10.1186/s12889-020-09653-x
• Alexander SM, Agaba A, Campbell JI, et al. A qualitative study of the acceptability of remote electronic bednet use monitoring in Uganda. BMC Public Health . 2022;22:1010. doi:10.1186/s12889-022-13393
• May C, Rapley T, Mair FS, et al. Normalization Process Theory On-line Users’ Manual, Toolkit and NoMAD instrument. 2015. Accessed February 15, 2023. https://normalization-process-theory.northumbria.ac.uk/
• Davis S. Ready for prime time? Using Normalization Process Theory to evaluate implementation success of personal health records designed for decision making. Front Digit  Health . 2020;2:575951. doi:10.3389/fdgth.2020.575951
• Durand M-A, Lamouroux A, Redmond NM, et al. Impact of a health literacy intervention combining general practitioner training and a consumer facing intervention to improve colorectal cancer screening in underserved areas: protocol for a multicentric cluster randomized controlled trial. BMC Public Health . 2021;21:1684. doi:10.1186/s12889-021-11565
• Jones SE, Hamilton S, Bell R, Araújo-Soares V, White M. Acceptability of a cessation intervention for pregnant smokers: a qualitative study guided by Normalization Process Theory. BMC Public Health . 2020;20:1512. doi:10.1186/s12889-020-09608-2
• Ziegler E, Valaitis R, Yost J, Carter N, Risdon C. “Primary care is primary care”: use of Normalization Process Theory to explore the implementation of primary care services for transgender individuals in Ontario. PLOS ONE . 2019;14(4):e0215873. doi:10.1371/journal.pone.0215873
• Mackenzie M, Conway E, Hastings A, Munro M, O’Donnell C. Is ‘candidacy’ a useful concept for understanding journeys through public services? A critical interpretive literature synthesis. Soc Policy Adm . 2013;47(7):806-825. doi:10.1111/j.1467-9515.2012.00864.x
• Adeagbo O, Herbst C, Blandford A, et al. Exploring people’s candidacy for mobile health–supported HIV testing and care services in rural KwaZulu-Natal, South Africa: qualitative study. J Med Internet Res . 2019;21(11):e15681. doi:10.2196/15681
• Mackenzie M, Turner F, Platt S, et al. What is the ‘problem’ that outreach work seeks to address and how might it be tackled? Seeking theory in a primary health prevention programme. BMC Health Serv Res . 2011;11:350. doi:10.1186/1472-6963-11-350
• Liberati E, Richards N, Parker J, et al. Qualitative study of candidacy and access to secondary mental health services during the COVID-19 pandemic. Soc Sci Med. 2022;296:114711. doi:10.1016/j.socscimed.2022.114711
• Pearson O, Schwartzkopff K, Dawson A, et al. Aboriginal community controlled health organisations address health equity through action on the social determinants of health of Aboriginal and Torres Strait Islander peoples in Australia. BMC Public Health . 2020;20:1859. doi:10.1186/s12889-020-09943-4
• Freeman T, Baum F, Lawless A, et al. Revisiting the ability of Australian primary healthcare services to respond to health inequity. Aust J Prim  Health . 2016;22(4):332-338. doi:10.1071/PY14180
• Couzos S. Towards a National Primary Health Care Strategy: Fulfilling Aboriginal Peoples Aspirations to Close the Gap . National Aboriginal Community Controlled Health Organisation. 2009. Accessed February 15, 2023. https://researchonline.jcu.edu.au/35080/
• Napier AD, Ancarno C, Butler B, et al. Culture and health. Lancet . 2014;384(9954):1607-1639. doi:10.1016/S0140-6736(14)61603-2
• WHO. COVID-19 and the Social Determinants of Health and Health Equity: Evidence Brief . 2021. Accessed February 15, 2023. https://www.who.int/publications/i/item/9789240038387
• WHO. Social Determinants of Health . 2023. Accessed February 15, 2023. https://www.who.int/health-topics/social-determinants-of-health#tab=tab_1
• McCrae JS, Robinson JAL, Spain AK, Byers K, Axelrod JL. The Mitigating Toxic Stress study design: approaches to developmental evaluation of pediatric health care innovations addressing social determinants of health and toxic stress. BMC Health Serv Res . 2021;21:71. doi:10.1186/s12913-021-06057-4
• Hosseinpoor AR, Stewart Williams J, Jann B, et al. Social determinants of sex differences in disability among older adults: a multi-country decomposition analysis using the World Health Survey. Int J  Equity   Health . 2012;11:52. doi:10.1186/1475-9276-11-52
• Kabore A, Afriyie-Gyawu E, Awua J, et al. Social ecological factors affecting substance abuse in Ghana (West Africa) using photovoice. Pan Afr Med J . 2019;34:214. doi:10.11604/pamj.2019.34.214.12851
• Bíró É, Vincze F, Mátyás G, Kósa K. Recursive path model for health literacy: the effect of social support and geographical residence. Front Public Health . 2021;9. doi:10.3389/fpubh.2021.724995
• Yuan B, Zhang T, Li J. Family support and transport cost: understanding health service among older people from the perspective of social-ecological model. Arch Public Health . 2022;80:173. doi:10.1186/s13690-022-00923-1
• Mahmoodi Z, Karimlou M, Sajjadi H, Dejman M, Vameghi M, Dolatian M. A communicative model of mothers’ lifestyles during pregnancy with low birth weight based on social determinants of health: a path analysis. Oman Med J . 2017 ;32(4):306-314. doi:10.5001/omj.2017.59
• Vella SA, Schweickle MJ, Sutcliffe J, Liddelow C, Swann C. A systems theory of mental health in recreational sport. Int J Environ Res Public Health . 2022;19(21):14244. doi:10.3390/ijerph192114244
• Henning S. The wellness of airline cabin attendants: A systems theory perspective. African Journal of Hospitality, Tourism and Leisure . 2015;4(1):1-11. Accessed February 15, 2023. http://www.ajhtl.com/archive.html
• Sutphin ST, McDonough S, Schrenkel A. The role of formal theory in social work research: formalizing family systems theory. Adv Soc Work . 2013;14(2):501-517. doi:10.18060/7942
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Qualitative Research – a practical guide for health and social care researchers and practitioners Copyright © 2023 by Tess Tsindos is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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• Section 1: Home
• Narrowing Your Topic
• Problem Statement
• Purpose Statement

Defining The Conceptual Framework

Making a conceptual framework, conceptual framework for dmft students, conceptual framework guide, example frameworks, additional framework resources.

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What is it?

• The researcher’s understanding/hypothesis/exploration of either an existing framework/model or how existing concepts come together to inform a particular problem. Shows the reader how different elements come together to facilitate research and a clear understanding of results.
• Informs the research questions/methodology (problem statement drives framework drives RQs drives methodology)
• A tool (linked concepts) to help facilitate the understanding of the relationship among concepts or variables in relation to the real-world. Each concept is linked to frame the project in question.
• Falls inside of a larger theoretical framework (theoretical framework = explains the why and how of a particular phenomenon within a particular body of literature).
• Can be a graphic or a narrative – but should always be explained and cited
• Can be made up of theories and concepts

What does it do?

• Explains or predicts the way key concepts/variables will come together to inform the problem/phenomenon
• Gives the study direction/parameters
• Helps the researcher organize ideas and clarify concepts
• Introduces your research and how it will advance your field of practice. A conceptual framework should include concepts applicable to the field of study. These can be in the field or neighboring fields – as long as important details are captured and the framework is relevant to the problem. (alignment)

What should be in it?

• Variables, concepts, theories, and/or parts of other existing frameworks

How to make a conceptual framework

• With a topic in mind, go to the body of literature and start identifying the key concepts used by other studies. Figure out what’s been done by other researchers, and what needs to be done (either find a specific call to action outlined in the literature or make sure your proposed problem has yet to be studied in your specific setting). Use what you find needs to be done to either support a pre-identified problem or craft a general problem for study. Only rely on scholarly sources for this part of your research.
• Begin to pull out variables, concepts, theories, and existing frameworks explained in the relevant literature.
• If you’re building a framework, start thinking about how some of those variables, concepts, theories, and facets of existing frameworks come together to shape your problem. The problem could be a situational condition that requires a scholar-practitioner approach, the result of a practical need, or an opportunity to further an applicational study, project, or research. Remember, if the answer to your specific problem exists, you don’t need to conduct the study.
• The actionable research you’d like to conduct will help shape what you include in your framework. Sketch the flow of your Applied Doctoral Project from start to finish and decide which variables are truly the best fit for your research.
• Create a graphic representation of your framework (this part is optional, but often helps readers understand the flow of your research) Even if you do a graphic, first write out how the variables could influence your Applied Doctoral Project and introduce your methodology. Remember to use APA formatting in separating the sections of your framework to create a clear understanding of the framework for your reader.
• As you move through your study, you may need to revise your framework.
• Note for qualitative/quantitative research: If doing qualitative, make sure your framework doesn’t include arrow lines, which could imply causal or correlational linkages.
• Conceptural and Theoretical Framework for DMFT Students This document is specific to DMFT students working on a conceptual or theoretical framework for their applied project.
• Conceptual Framework Guide Use this guide to determine the guiding framework for your applied dissertation research.

Let’s say I’ve just taken a job as manager of a failing restaurant. Throughout the first week, I notice the few customers they have are leaving unsatisfied. I need to figure out why and turn the establishment into a thriving restaurant. I get permission from the owner to do a study to figure out exactly what we need to do to raise levels of customer satisfaction. Since I have a specific problem and want to make sure my research produces valid results, I go to the literature to find out what others are finding about customer satisfaction in the food service industry. This particular restaurant is vegan focused – and my search of the literature doesn’t say anything specific about how to increase customer service in a vegan atmosphere, so I know this research needs to be done.

I find out there are different types of satisfaction across other genres of the food service industry, and the one I’m interested in is cumulative customer satisfaction. I then decide based on what I’m seeing in the literature that my definition of customer satisfaction is the way perception, evaluation, and psychological reaction to perception and evaluation of both tangible and intangible elements of the dining experience come together to inform customer expectations. Essentially, customer expectations inform customer satisfaction.

I then find across the literature many variables could be significant in determining customer satisfaction. Because the following keep appearing, they are the ones I choose to include in my framework: price, service, branding (branched out to include physical environment and promotion), and taste. I also learn by reading the literature, satisfaction can vary between genders – so I want to make sure to also collect demographic information in my survey. Gender, age, profession, and number of children are a few demographic variables I understand would be helpful to include based on my extensive literature review.

Note: this is a quantitative study. I’m including all variables in this study, and the variables I am testing are my independent variables. Here I’m working to see how each of the independent variables influences (or not) my dependent variable, customer satisfaction. If you are interested in qualitative study, read on for an example of how to make the same framework qualitative in nature.

Also note: when you create your framework, you’ll need to cite each facet of your framework. Tell the reader where you got everything you’re including. Not only is it in compliance with APA formatting, but also it raises your credibility as a researcher. Once you’ve built the narrative around your framework, you may also want to create a visual for your reader.

See below for one example of how to illustrate your framework:

If you’re interested in a qualitative study, be sure to omit arrows and other notations inferring statistical analysis. The only time it would be inappropriate to include a framework in qualitative study is in a grounded theory study, which is not something you’ll do in an applied doctoral study.

A visual example of a qualitative framework is below:

Some additional helpful resources in constructing a conceptual framework for study:

• Problem Statement, Conceptual Framework, and Research Question. McGaghie, W. C.; Bordage, G.; and J. A. Shea (2001). Problem Statement, Conceptual Framework, and Research Question. Retrieved on January 5, 2015 from http://goo.gl/qLIUFg
• Building a Conceptual Framework: Philosophy, Definitions, and Procedure
• https://www.scribbr.com/dissertation/conceptual-framework/
• https://www.projectguru.in/developing-conceptual-framework-in-a-research-paper/

Conceptual Framework Research

A conceptual framework is a synthetization of interrelated components and variables which help in solving a real-world problem. It is the final lens used for viewing the deductive resolution of an identified issue (Imenda, 2014). The development of a conceptual framework begins with a deductive assumption that a problem exists, and the application of processes, procedures, functional approach, models, or theory may be used for problem resolution (Zackoff et al., 2019). The application of theory in traditional theoretical research is to understand, explain, and predict phenomena (Swanson, 2013). In applied research the application of theory in problem solving focuses on how theory in conjunction with practice (applied action) and procedures (functional approach) frames vision, thinking, and action towards problem resolution. The inclusion of theory in a conceptual framework is not focused on validation or devaluation of applied theories. A concise way of viewing the conceptual framework is a list of understood fact-based conditions that presents the researcher’s prescribed thinking for solving the identified problem. These conditions provide a methodological rationale of interrelated ideas and approaches for beginning, executing, and defining the outcome of problem resolution efforts (Leshem & Trafford, 2007).

The term conceptual framework and theoretical framework are often and erroneously used interchangeably (Grant & Osanloo, 2014). Just as with traditional research, a theory does not or cannot be expected to explain all phenomenal conditions, a conceptual framework is not a random identification of disparate ideas meant to incase a problem. Instead it is a means of identifying and constructing for the researcher and reader alike an epistemological mindset and a functional worldview approach to the identified problem.

Grant, C., & Osanloo, A. (2014). Understanding, Selecting, and Integrating a Theoretical Framework in Dissertation Research: Creating the Blueprint for Your “House. ” Administrative Issues Journal: Connecting Education, Practice, and Research, 4(2), 12–26

Imenda, S. (2014). Is There a Conceptual Difference between Theoretical and Conceptual Frameworks? Sosyal Bilimler Dergisi/Journal of Social Sciences, 38(2), 185.

Leshem, S., & Trafford, V. (2007). Overlooking the conceptual framework. Innovations in Education & Teaching International, 44(1), 93–105. https://doi-org.proxy1.ncu.edu/10.1080/14703290601081407

Swanson, R. (2013). Theory building in applied disciplines . San Francisco: Berrett-Koehler Publishers.

Zackoff, M. W., Real, F. J., Klein, M. D., Abramson, E. L., Li, S.-T. T., & Gusic, M. E. (2019). Enhancing Educational Scholarship Through Conceptual Frameworks: A Challenge and Roadmap for Medical Educators . Academic Pediatrics, 19(2), 135–141. https://doi-org.proxy1.ncu.edu/10.1016/j.acap.2018.08.003

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How To Make Conceptual Framework (With Examples and Templates)

We all know that a research paper has plenty of concepts involved. However, a great deal of concepts makes your study confusing.

A conceptual framework ensures that the concepts of your study are organized and presented comprehensively. Let this article guide you on how to make the conceptual framework of your study.

Related: How to Write a Concept Paper for Academic Research

Table of Contents

At a glance: free conceptual framework templates.

Too busy to create a conceptual framework from scratch? No problem. We’ve created templates for each conceptual framework so you can start on the right foot. All you need to do is enter the details of the variables. Feel free to modify the design according to your needs. Please read the main article below to learn more about the conceptual framework.

Conceptual Framework Template #1: Independent-Dependent Variable Model

Conceptual framework template #2: input-process-output (ipo) model, conceptual framework template #3: concept map, what is a conceptual framework.

A conceptual framework shows the relationship between the variables of your study.  It includes a visual diagram or a model that summarizes the concepts of your study and a narrative explanation of the model presented.

Why Should Research Be Given a Conceptual Framework?

Imagine your study as a long journey with the research result as the destination. You don’t want to get lost in your journey because of the complicated concepts. This is why you need to have a guide. The conceptual framework keeps you on track by presenting and simplifying the relationship between the variables. This is usually done through the use of illustrations that are supported by a written interpretation.

Also, people who will read your research must have a clear guide to the variables in your study and where the research is heading. By looking at the conceptual framework, the readers can get the gist of the research concepts without reading the entire study. 

Related: How to Write Significance of the Study (with Examples)

What Is the Difference Between Conceptual Framework and Theoretical Framework?

Both of them show concepts and ideas of your study. The theoretical framework presents the theories, rules, and principles that serve as the basis of the research. Thus, the theoretical framework presents broad concepts related to your study. On the other hand, the conceptual framework shows a specific approach derived from the theoretical framework. It provides particular variables and shows how these variables are related.

Let’s say your research is about the Effects of Social Media on the Political Literacy of College Students. You may include some theories related to political literacy, such as this paper, in your theoretical framework. Based on this paper, political participation and awareness determine political literacy.

For the conceptual framework, you may state that the specific form of political participation and awareness you will use for the study is the engagement of college students on political issues on social media. Then, through a diagram and narrative explanation, you can show that using social media affects the political literacy of college students.

What Are the Different Types of Conceptual Frameworks?

The conceptual framework has different types based on how the research concepts are organized 1 .

1. Taxonomy

In this type of conceptual framework, the phenomena of your study are grouped into categories without presenting the relationship among them. The point of this conceptual framework is to distinguish the categories from one another.

2. Visual Presentation

In this conceptual framework, the relationship between the phenomena and variables of your study is presented. Using this conceptual framework implies that your research provides empirical evidence to prove the relationship between variables. This is the type of conceptual framework that is usually used in research studies.

3. Mathematical Description

In this conceptual framework, the relationship between phenomena and variables of your study is described using mathematical formulas. Also, the extent of the relationship between these variables is presented with specific quantities.

How To Make Conceptual Framework: 4 Steps

1. identify the important variables of your study.

There are two essential variables that you must identify in your study: the independent and the dependent variables.

An independent variable is a variable that you can manipulate. It can affect the dependent variable. Meanwhile, the dependent variable is the resulting variable that you are measuring.

You may refer to your research question to determine your research’s independent and dependent variables.

Suppose your research question is: “Is There a Significant Relationship Between the Quantity of Organic Fertilizer Used and the Plant’s Growth Rate?” The independent variable of this study is the quantity of organic fertilizer used, while the dependent variable is the plant’s growth rate.

2. Think About How the Variables Are Related

Usually, the variables of a study have a direct relationship. If a change in one of your variables leads to a corresponding change in another, they might have this kind of relationship.

However, note that having a direct relationship between variables does not mean they already have a cause-and-effect relationship 2 . It takes statistical analysis to prove causation between variables.

Using our example earlier, the quantity of organic fertilizer may directly relate to the plant’s growth rate. However, we are not sure that the quantity of organic fertilizer is the sole reason for the plant’s growth rate changes.

3. Analyze and Determine Other Influencing Variables

Consider analyzing if other variables can affect the relationship between your independent and dependent variables 3 .

4. Create a Visual Diagram or a Model

Now that you’ve identified the variables and their relationship, you may create a visual diagram summarizing them.

Usually, shapes such as rectangles, circles, and arrows are used for the model. You may create a visual diagram or model for your conceptual framework in different ways. The three most common models are the independent-dependent variable model, the input-process-output (IPO) model, and concept maps.

a. Using the Independent-Dependent Variable Model

You may create this model by writing the independent and dependent variables inside rectangles. Then, insert a line segment between them, connecting the rectangles. This line segment indicates the direct relationship between these variables. 

Below is a visual diagram based on our example about the relationship between organic fertilizer and a plant’s growth rate. 

b. Using the Input-Process-Output (IPO) Model

If you want to emphasize your research process, the input-process-output model is the appropriate visual diagram for your conceptual framework.

To create your visual diagram using the IPO model, follow these steps:

• Determine the inputs of your study . Inputs are the variables you will use to arrive at your research result. Usually, your independent variables are also the inputs of your research. Let’s say your research is about the Level of Satisfaction of College Students Using Google Classroom as an Online Learning Platform. You may include in your inputs the profile of your respondents and the curriculum used in the online learning platform.
• Outline your research process. Using our example above, the research process should be like this: Data collection of student profiles → Administering questionnaires → Tabulation of students’ responses → Statistical data analysis.
• State the research output . Indicate what you are expecting after you conduct the research. In our example above, the research output is the assessed level of satisfaction of college students with the use of Google Classroom as an online learning platform.
• Create the model using the research’s determined input, process, and output.

Presented below is the IPO model for our example above.

c. Using Concept Maps

If you think the two models presented previously are insufficient to summarize your study’s concepts, you may use a concept map for your visual diagram.

A concept map is a helpful visual diagram if multiple variables affect one another. Let’s say your research is about Coping with the Remote Learning System: Anxiety Levels of College Students. Presented below is the concept map for the research’s conceptual framework:

5. Explain Your Conceptual Framework in Narrative Form

Provide a brief explanation of your conceptual framework. State the essential variables, their relationship, and the research outcome.

Using the same example about the relationship between organic fertilizer and the growth rate of the plant, we can come up with the following explanation to accompany the conceptual framework:

Figure 1 shows the Conceptual Framework of the study. The quantity of the organic fertilizer used is the independent variable, while the plant’s growth is the research’s dependent variable. These two variables are directly related based on the research’s empirical evidence.

Conceptual Framework in Quantitative Research

You can create your conceptual framework by following the steps discussed in the previous section. Note, however, that quantitative research has statistical analysis. Thus, you may use arrows to indicate a cause-and-effect relationship in your model. An arrow implies that your independent variable caused the changes in your dependent variable.

Usually, for quantitative research, the Input-Process-Output model is used as a visual diagram. Here is an example of a conceptual framework in quantitative research:

Research Topic : Level of Effectiveness of Corn (Zea mays) Silk Ethanol Extract as an Antioxidant

Conceptual Framework in Qualitative Research

Again, you can follow the same step-by-step guide discussed previously to create a conceptual framework for qualitative research. However, note that you should avoid using one-way arrows as they may indicate causation . Qualitative research cannot prove causation since it uses only descriptive and narrative analysis to relate variables.

Here is an example of a conceptual framework in qualitative research:

Research Topic : Lived Experiences of Medical Health Workers During Community Quarantine

Conceptual Framework Examples

Presented below are some examples of conceptual frameworks.

Research Topic : Hypoglycemic Ability of Gabi (Colocasia esculenta) Leaf Extract in the Blood Glucose Level of Swiss Mice (Mus musculus)

Figure 1 presents the Conceptual Framework of the study. The quantity of gabi leaf extract is the independent variable, while the Swiss mice’s blood glucose level is the study’s dependent variable. This study establishes a direct relationship between these variables through empirical evidence and statistical analysis . 

Research Topic : Level of Effectiveness of Using Social Media in the Political Literacy of College Students

Figure 1 shows the Conceptual Framework of the study. The input is the profile of the college students according to sex, year level, and the social media platform being used. The research process includes administering the questionnaires, tabulating students’ responses, and statistical data analysis and interpretation. The output is the effectiveness of using social media in the political literacy of college students.

Research Topic: Factors Affecting the Satisfaction Level of Community Inhabitants

Figure 1 presents a visual illustration of the factors that affect the satisfaction level of community inhabitants. As presented, environmental, societal, and economic factors influence the satisfaction level of community inhabitants. Each factor has its indicators which are considered in this study.

Tips and Warnings

• Please keep it simple. Avoid using fancy illustrations or designs when creating your conceptual framework. 
• Allot a lot of space for feedback. This is to show that your research variables or methodology might be revised based on the input from the research panel. Below is an example of a conceptual framework with a spot allotted for feedback.

Frequently Asked Questions

1. how can i create a conceptual framework in microsoft word.

First, click the Insert tab and select Shapes . You’ll see a wide range of shapes to choose from. Usually, rectangles, circles, and arrows are the shapes used for the conceptual framework. 

Next, draw your selected shape in the document.

Insert the name of the variable inside the shape. You can do this by pointing your cursor to the shape, right-clicking your mouse, selecting Add Text , and typing in the text.

Repeat the same process for the remaining variables of your study. If you need arrows to connect the different variables, you can insert one by going to the Insert tab, then Shape, and finally, Lines or Block Arrows, depending on your preferred arrow style.

2. How to explain my conceptual framework in defense?

If you have used the Independent-Dependent Variable Model in creating your conceptual framework, start by telling your research’s variables. Afterward, explain the relationship between these variables. Example: “Using statistical/descriptive analysis of the data we have collected, we are going to show how the <state your independent variable> exhibits a significant relationship to <state your dependent variable>.”

On the other hand, if you have used an Input-Process-Output Model, start by explaining the inputs of your research. Then, tell them about your research process. You may refer to the Research Methodology in Chapter 3 to accurately present your research process. Lastly, explain what your research outcome is.

Meanwhile, if you have used a concept map, ensure you understand the idea behind the illustration. Discuss how the concepts are related and highlight the research outcome.

3. In what stage of research is the conceptual framework written?

The research study’s conceptual framework is in Chapter 2, following the Review of Related Literature.

4. What is the difference between a Conceptual Framework and Literature Review?

The Conceptual Framework is a summary of the concepts of your study where the relationship of the variables is presented. On the other hand, Literature Review is a collection of published studies and literature related to your study. 

Suppose your research concerns the Hypoglycemic Ability of Gabi (Colocasia esculenta) Leaf Extract on Swiss Mice (Mus musculus). In your conceptual framework, you will create a visual diagram and a narrative explanation presenting the quantity of gabi leaf extract and the mice’s blood glucose level as your research variables. On the other hand, for the literature review, you may include this study and explain how this is related to your research topic.

5. When do I use a two-way arrow for my conceptual framework?

You will use a two-way arrow in your conceptual framework if the variables of your study are interdependent. If variable A affects variable B and variable B also affects variable A, you may use a two-way arrow to show that A and B affect each other.

Suppose your research concerns the Relationship Between Students’ Satisfaction Levels and Online Learning Platforms. Since students’ satisfaction level determines the online learning platform the school uses and vice versa, these variables have a direct relationship. Thus, you may use two-way arrows to indicate that the variables directly affect each other.

• Conceptual Framework – Meaning, Importance and How to Write it. (2020). Retrieved 27 April 2021, from https://afribary.com/knowledge/conceptual-framework/
• Correlation vs Causation. Retrieved 27 April 2021, from https://www.jmp.com/en_ph/statistics-knowledge-portal/what-is-correlation/correlation-vs-causation.html
• Swaen, B., & George, T. (2022, August 22). What is a conceptual framework? Tips & Examples. Retrieved December 5, 2022, from https://www.scribbr.com/methodology/conceptual-framework/

Written by Jewel Kyle Fabula

in Career and Education , Juander How

Last Updated May 6, 2023 10:37 AM

Jewel Kyle Fabula

Jewel Kyle Fabula is a Bachelor of Science in Economics student at the University of the Philippines Diliman. His passion for learning mathematics developed as he competed in some mathematics competitions during his Junior High School years. He loves cats, playing video games, and listening to music.

Browse all articles written by Jewel Kyle Fabula

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• Open access
• Published: 25 April 2024

Big five personality traits of medical students and workplace performance in the final clerkship year using an EPA framework

• Harm Peters   ORCID: orcid.org/0000-0003-1441-7512 1 ,
• Amelie Garbe 1 ,
• Simon M. Breil   ORCID: orcid.org/0000-0001-5583-3884 2 ,
• Sebastian Oberst   ORCID: orcid.org/0000-0002-1388-2749 1 ,
• Susanne Selch 3 &
• Ylva Holzhausen   ORCID: orcid.org/0000-0001-8710-8257 1  

BMC Medical Education volume  24 , Article number:  453 ( 2024 ) Cite this article

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Metrics details

The qualities of trainees play a key role in entrustment decisions by clinical supervisors for the assignments of professional tasks and levels of supervision. A recent body of qualitative research has shown that in addition to knowledge and skills, a number of personality traits are relevant in the workplace; however, the relevance of these traits has not been investigated empirically. The aim of this study was to analyse the workplace performance of final-year medical students using an Entrustable Professional Activity (EPA) framework in relation to their personality traits.

Medical students at the end of their final clerkship year were invited to participate in an online survey-based, cross-sectional field study. In the survey, the workplace performance was captured using a framework consisting of levels of experienced supervision and a defined set of 12 end-of-undergraduate medical training EPAs. The Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness) of the participating medical students were measured using the Big Five Inventory-SOEP (BFI-S), which consists of 15 items that are rated on a seven-point Likert scale. The data were analysed using descriptive and inferential statistics.

The study included 880 final-year medical students (mean age: 27.2 years, SD = 3.0; 65% female). The levels of supervision under which the final-year clerkship students carried out the EPAs varied considerably. Significant correlations were found between the levels of experienced supervision and all Big Five dimensions The correlations with the dimensions of extraversion, agreeableness, conscientiousness and openness were positive, and that for the neuroticism dimension was negative (range r  = 0.17 to r  = − 0.23). Multiple regression analyses showed that the combination of the Big Five personality traits accounted for 0.8–7.5% of the variance in supervision levels on individual EPAs.

Conclusions

Using the BFI-S, we found that the levels of supervision on a set of end-of-undergraduate medical training EPAs were related to the personality traits of final-year medical students. The results of this study confirm the existing body of research on the role of conscientiousness and extraversion in entrustment decision-making and, in particular, add the personality trait of neuroticism as a new and relevant trainee quality to be considered.

Peer Review reports

The assignment of professional tasks at a certain level of autonomy to individual trainees by clinical supervisors is a central phenomenon and characteristic of workplace learning in medical education and beyond in health profession education. The concept of Entrustable Professional Activities (EPAs) draws on this tradition to conceptualize learning and assessments in the clinical workplace [ 1 ]. A growing body of research provides a better understanding of the often numerous explicit and implicit factors that influence why one trainee is entrusted with performing a specific task while another trainee is not. These factors include the personal qualities of trainees. For example, qualitative research has shown that certain personality traits of trainees play a role in supervisors’ entrustment decisions [ 2 ]. Yet, this relationship has not been systematically investigated. Such an investigation could confirm, complement and extend our understanding of which trainee qualities influence the entrustment decision-making processes of supervisors. The purpose of this study was to analyse the workplace performance of final-year medical students using an EPA framework in relation to their personality traits measured by an established Big Five questionnaire.

A valuable and practical reconceptualization of workplace performance has been achieved through an EPA framework [ 1 ]. This framework builds on three main components: (1) professional activities, i.e., authentic task characteristics of a profession; (2) levels of supervision, which indicate the proficiency of a trainee in carrying out a professional activity; and (3) entrustment decisions, which link the first two components and are made by supervisors when managing patient care [ 2 , 3 ]. Within the EPA framework, workplace performance increases by the number of EPAs a trainee can carry out and the level of autonomy, a trainee can carry out a professional tasks. Consider, for example, two trainees in their final year of study who have the same supervisor. Trainee A is regularly entrusted with taking medical histories independently, with only the key findings checked afterwards. For Trainee B, the supervisor takes on a much more active role, and the medical histories are checked together with the supervisor. Why are some trainees trusted more than others? Ongoing line research has identified a range of factors that determine under which level of supervision a trainee is entrusted to perform a particular task under particular circumstances by a clinical supervisor [ 4 , 5 ]. The personal qualities of individual trainees have been found to be particularly important factors [ 6 , 7 , 8 , 9 ]. Here, Ten Cate and Chen [ 2 ] recently used a qualitative approach to synthesize the varying entrustment-related qualities of trainees reported in the literature into five categories: agency (proactive towards work, teams, safety, and personal development), reliability (conscientious, predictable, accountable, and responsible), integrity (truthful, benevolent, and patient-centered), capability (specific knowledge, skills, experience, and situational awareness) and humility (recognizes limits, asks for help, and is receptive to feedback) (the A RICH framework). These five categories should be considered when making A RICH entrustment decision [ 2 ].

Beyond knowledge and skill aspects, many of the qualities in the A RICH framework fall into the area of trainees’ personality traits (i.e., relatively enduring patterns of interindividual differences in thinking, feeling, and behaving, e.g., some individuals are more reliable, humble, or proactive than others). Personality traits are often divided into five overarching factors (extraversion, agreeableness, conscientiousness, neuroticism, and openness). This so-called five-factor (Big Five) model of personality has demonstrated reliability and validity across numerous populations [ 10 , 11 , 12 ] and can be mapped to the qualities mentioned by ten Cate and Chen. That is, extraversion might be mapped to agency, consciousness to reliability, and agreeableness to integrity and humility. However, we believe that the personality traits of neuroticism and openness are not directly reflected in the A RICH framework.

Research has shown that individual differences in the Big Five traits are related to important outcomes such as learning and (academic) performance [ 13 , 14 , 15 , 16 ]. In medical education, the importance of personality traits for performing well in medical school and for good medical practice is increasingly recognized [ 17 , 18 ]. Exploring the relationship between personality and performance in the workplace (based on the EPA framework) could complement and extend our understanding of the entrustment-related qualities of trainees as well as learning and assessment in the clinical workplace. However, the empirical relationship between specific trainee personality traits and supervisor entrustment decisions has not been examined. Such an analysis could be useful from both theoretical and practical points of view. Theoretically, this approach could show whether the aspects developed qualitatively in the A RICH framework can be supported empirically. Practically, this approach could help to identify personality traits that affect trainees’ learning and supervisors’ entrustment decisions in the workplace.

The aim of this study was to analyse the relationship between the workplace performance of final-year medical students and their personality traits, resulting in the following research question: Are individual differences in medical students’ Big Five personality traits related to their workplace performance? To address this question, personality traits and workplace performance were measured by conducting an online, cross-sectional field study. This was done using a framework consisting of levels of experienced supervision and a defined set of EPAs, both adjusted for undergraduate medical training.

This study was conducted as part of the German national research project “Studierendenauswahlverbund” (STAV) on the selection of medical students for entry into medical school [ 19 ]. In Germany, undergraduate medical education programs take six years to complete. The first 5 years cover basic and clinical sciences, followed by a final clerkship year with three rotations (3.5 months each): one rotation in internal medicine, one rotation in surgery and one elective rotation. The aim of the final clerkship year is for medical students to actively participate in the clinical workplace under the instruction, supervision and responsibility of a physician [ 20 ]. There are currently no mandatory formative or summative workplace assessments in place during the final clerkship year.

Study design

This was an online-administered, cross-sectional field study. The study protocol was approved by the local psychological ethics committee (LPEK) at the Center for Psychosocial Medicine at the University Medical Center Hamburg-Eppendorf (application number: LPEK-0042).

Questionnaire development

The questionnaire, developed by the STAV research team through an iterative and collaborative process, was sent to final-year medical students in Germany. The questionnaire covered sociodemographic characteristics, personality traits and workplace performance in professional activities, among other reported content areas. The questionnaire was piloted by members of the STAV research team.

• Personality traits

Personality traits were measured via self-reports using the German Big Five Inventory-SOEP (BFI-S) [ 21 ]. This instrument is based on the BFI [ 22 ] and was developed as a short economic version for use with the Socio-Economic Panel (SOEP). The scale consists of a total of 15 items and measures extraversion, agreeableness, conscientiousness, neuroticism, and openness, all measured with three items each. The BFI-S items are rated on a 7-point Likert scale ranging from 1 (“does not apply at all”) to 7 (“applies perfectly”).

Workplace performance measured using an EPA framework

Workplace performance refers to the number of professional activities that a trainee can carry out and the level of supervision needed to carry out the respective professional activity. As the basis, a set of 12 core end-of-training EPAs previously developed for undergraduate medical education students at the Charité - Universitätsmedizin Berlin, Germany, was used [ 23 ]. The EPA descriptions used in the survey are shown in Table  1 .

Participants were asked to indicate the level of supervision while carrying out each of the respective professional activity at least 3 times. The levels of supervision were adapted to undergraduate medical education [ 24 ]. The 5 levels were as follows:

Level 1: I did not perform the task.

Level 2: I carried out this task in co-activity with a supervisor.

Level 3: I carried out this task autonomously, and all findings were double-checked.

Level 4: I carried out this task autonomously, and key findings were double-checked.

Level 5: I carried out this task autonomously, and key findings were discussed afterwards.

The questionnaire was administered using the online software LimeSurvey (version 2.62.2; Limesurvey GmbH, Hamburg, Germany). Final-year medical students from all German medical faculties were invited by email via the listservs of the respective medical faculties. Invitations were sent to reach students within or shortly after their last rotation in the final clerkship year. Before data collection, the students were informed in writing about the purpose of the study and had to provide informed consent.

Statistical analysis

The statistical analysis was performed using SPSS (version 29.0; IBM, Ehningen, Germany; Armonk, Released 2022). The SPSS analysis code can be found in Appendix 1 . Descriptive statistics were calculated for sample size, participant age and gender, the scores on the BFI-S dimensions and the level of supervision for each end-of-undergraduate medical training EPA.

Inferential statistical analysis included the calculation of Cronbach’s alpha, Pearson and Spearman correlations and multiple regression. Cronbach’s alpha was calculated for the scores on the BFI-S dimensions. Pearson correlations were computed for each EPA and each Big Five dimension to analyse the relationship between the BFI-S scores and EPA framework-based workplace performance. To check for the robustness of the results and given that the EPA scale is ordinal, we additionally computed Spearman´s rank-order correlations. Furthermore, multiple regression analyses were conducted to analyse the joint relationship between the five personality traits and the level of supervision for each EPA. For all correlations and multiple regressions, we did not include individuals (per EPAs) who reported supervision level 1. This was because we could not determine whether the students were not capable of performing the EPA or whether they had not yet had the opportunity to perform the EPA.

Study participants

A total of 1,111 students from 35 medical faculties completed the STAV survey. The data were included in the analysis if the participating students were in their last final-year clerkship rotation or had just finished the last rotation. In total, data from 880 participants were included in the study. The mean age of the included final-year medical students was 27.2 years (SD = 3.0), 568 (65%) students were female, and 312 (35%) students were male.

Characteristics of the personality traits

The descriptive statistics as well as the Cronbach’s coefficient for the respective Big Five dimension are shown in Table  2 .

Characteristics of workplace performance using an EPA framework

Figure  1 shows the variation in the levels of supervision under which the final year clerkship students carried out the 12 EPAs. Nine of the 12 professional activities were performed by 75% of the students under supervision levels 3–5, i.e., autonomously without direct supervision. These EPAs ranged from “take a medical history, perform a physical examination and summarize the results in a structured manner” (99%) to “write and transmit a patient report” (93%). The frequencies of supervision levels without direct supervision (levels 3–5) were lower for “recognize an emergency situation and act upon it” (51%), “undertake an evidence-based patient case and initiate patient-specific implementation” (53%), and “compile a treatment plan and initiate implementation” (68%). The levels of supervision correlated significantly amongst all EPAs (see the Appendix 2 ).

Frequency of levels of supervision (levels 1–5) under which final-year clerkship students carried out end-of-undergraduate medical training EPAs. Frequencies are expressed as a percentage of all reported levels of supervision for each EPA. The supervision levels ranged from “I did not perform the task” (level 1) to “I carried out this task autonomously, and key findings were discussed afterwards” (level 5)

Relationship between the personality traits and workplace performance using an EPA framework

Significant Pearson correlations were found between the level of supervision under which final-year clerkship students carried out the EPAs and their scores on the BFI-S for all 5 Big Five traits (Table  3 ). There were 8 EPAs with significant correlations for extraversion, 4 for agreeableness, 8 for conscientiousness, 10 for neuroticism, and 4 for openness. All the correlations were positive, except that for neuroticism, which was negative. The correlations were all small to moderate in size ( r  = 0.17 to r = -0.23). Similar results were observed for the Spearman’s rank correlations (see the Appendix 3 ). In both analyses, significant correlations with at least one Big 5 dimension were found for all EPAs, except for EPA 5 (“perform general procedures of a physician”).

Multiple regression analysis also revealed that the BFI-S dimension scores significantly predicted workplace performance for 11 of the 12 EPAs (excluding EPA 5; see Table  4 ). Here, the amount of explained variance varied across the EPAs, ranging from 0.8% (EPA 6: “seek consent for medical procedures and diagnostics”) to 7.5% (EPA 12: “undertake an evidence-based patient case discussion and initiate patient-specific implementation”. Across all EPAs, the conscientiousness and neuroticism dimension scores were regularly associated with the level of supervision.

Worldwide, medical curricula are increasingly structured around the entrustment of EPAs [ 25 , 26 , 27 ]. Understanding the factors that influence entrustment decisions is important, as they have the potential to stimulate transparent discussion and reflection between supervising doctors and trainees. Personal qualities of trainees play a key role, and this study complements and extends previous, mostly qualitative, research on the personality traits that are related to the decisions to entrust trainees with professional patient-care tasks. The final-year medical students varied widely in the extent to which they had actually performed a set of end-of-undergraduate medical training EPAs, and this variation showed no ceiling effect. Using a quantitative, empirical approach, we found that individual differences in the Big Five traits were related to the level of supervision under which final-year clerkship students carried out end-of-undergraduate medical training EPAs. For the personality traits, the highest number of positive correlations was found for (low) neuroticism, conscientiousness, and extraversion. That is, trainees who reported being relaxed and without worry (i.e., low neuroticism), thorough and efficient (i.e., conscientiousness), and communicative and sociable (i.e., extraversion) were generally able to carry out EPAs with less supervision and greater autonomy. The findings and implications of this study in the context of the literature is discussed in the following sections.

The results of this study showed that the favorable Big Five traits were associated with better performance in almost all EPAs, accounting for between 0.8% and 7.5% of the variance in levels of supervision as a measure of workplace performance. The strongest effects of personality traits were found for EPA 12 (“undertake an evidence-based patient case discussion and initiate patient specific implementation”), EPA 4 (“compile a treatment plan and initiate implementation”), and EPA 3 (“interpret test results and initiate further steps”). Weaker effects were found for the other EPAs where the majority of trainees reached the highest level of supervision and for which there was low variance. These findings further support the assumption that the personality traits of trainees play an important role in their workplace performance [ 2 , 6 , 7 , 8 , 9 ].

Of all the Big Five traits, individual differences in neuroticism showed the highest number of correlations with the levels of experienced supervision for the performance of the end-of-undergraduate medical training EPAs. Individuals high in neuroticism tend to become anxious, worried and irritable more easily or intensely than others [ 28 ]. In the context of busy clinical workplaces, this personality trait may translate into difficulties coping with stress and anxiety, responding to feedback and criticism and solving problems, especially under stress, which can affect individuals’ ability to perform professional tasks effectively. It could also be that students with high neuroticism levels were less self-confident and sought more reassurance when performing tasks. Although these findings are in line with a meta-analysis highlighting the negative relationship between neuroticism and job performance [ 16 ], the relevance of neuroticism is a new finding in the area of entrustment decision-making.

The Big Five dimensions of extraversion and conscientiousness showed positive correlations with the levels of experienced supervision in a high number of the 12 EPAs, indicating higher levels of trainee autonomy. The personality trait of conscientiousness refers to individuals who tend to be highly thoughtful, organized, mindful of details, and responsible, indicating impulse control and goal-directed behaviours. The extraversion dimension refers to talkativeness, assertiveness, and energy. For conscientiousness, these findings are in line with previous research, highlighting trainee conscientiousness as a central factor in entrustment decision-making, particularly early work by Kennedy and colleagues [ 6 ]). The high number of correlations between the Big 5 score for conscientiousness and the levels of supervision across the EPAs is also consistent with previous research on personality traits and academic achievement and job performance across many occupational sectors [ 13 ]. In addition to the personality traits of extraversion, conscientiousness, and neuroticism, we found positive correlations between the levels of experienced supervision and the Big Five agreeableness and openness dimension scores, although these were lower in number and related to individual EPAs.

Our findings provide some support for the A RICH framework [ 2 ]. That is, the three dimensions of extraversion, conscientiousness, and agreeableness overlap with the qualities of integrity, reliability, humility, and agency. However, agreeableness was significant for only a few EPAs, although it is prominently represented by two qualities in the A Rich framework. Moreover, neuroticism, which was found to be the most important predictor of workplace involvement, is not (yet) covered by the A RICH framework on trainee qualities that enable entrustment decisions by clinical supervisors [ 2 ].

This study has several implications. Individual differences in personality traits were considered as a new perspective for understanding the factors that clinical supervisors weigh in their decisions to entrust trainees with responsibility in patient care. Future research could extend this research, for instance, by investigating the relationship between personality traits and the explicit level of entrustment that trainees receive in the workplace, studying other trainee cohorts and different clinical contexts, and focusing on specific facets of personality (e.g., investigating which part of an individual´s neuroticism affects entrustment decisions). Further lines of research may investigate how the personality traits of clinical supervisors influence their entrustment decisions and how the interplay between the personality traits of both trainees and supervisors affects entrustment decision-making. A particularly relevant finding is the strong role of neuroticism in entrustment decisions, which should be further explored in future quantitative and qualitative research. These findings also have implications for the training and development of medical trainees. Although there are already approaches to selecting and training (future) medical students regarding emotional stability [ 29 , 30 ], the findings suggest that even more attention should be given to the emotional stability (or lack thereof) of students and physicians.

This study has some limitations. First, although we managed to recruit a large sample, the context in which the participating students were evaluated was the final clerkship year in Germany. Therefore, future research should investigate the transferability of these findings to other contexts and countries. Second, the study was not based on explicit entrustment decisions by clinical supervisors but rather on the levels of supervision experienced in the workplace and reported by the students. This may have made it unclear whether the supervisors had less confidence in the trainees and therefore preferred to “double check” or whether the trainees themselves had less confidence and therefore preferred to “double check”. Future research should disentangle these two (not mutually exclusive) explanations. Third, the BFI measure is based on a short scale, which has lower internal consistency than longer scales and did not allow us to account for facet differences within the Big Five dimensions. Here, future studies could use longer scales to assess each dimension more thoroughly.

In conclusion, this study introduced personality traits as a new perspective for understanding the role of individual trainees’ personal qualities in clinical supervisors’ decision-making. We found that the level of supervision on a set of end-of undergraduate medical training EPAs was related to the personality traits of final-year medical students. In relation to the existing body of research, the results of this study confirm the role of conscientiousness in entrustment decision-making. In addition, the findings indicate that the personality trait of neuroticism should be considered as an important trainee quality in the context of entrustment decision-making.

Data availability

The data of this study will be made available from the corresponding author upon reasonable request.

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Acknowledgements

The authors wish to thank all the medical students who participated in the STAV survey and all the staff members of the STAV research team for their support and participation in discussions.

This work was supported by the Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research, Germany) (project number: 01GK1801).

Open Access funding enabled and organized by Projekt DEAL.

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All the authors made substantial contributions to the conception and design of the study and the interpretation of the data. AG was responsible for the data acquisition, and AG, SMB and YH were responsible for the data analysis. HP, AG SMB, and YH drafted the manuscript. All the authors were involved in critically revising the manuscript draft. All the authors read and approved the final manuscript.

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The study protocol was approved by the local psychological ethics committee at the Center for Psychosocial Medicine at the University Medical Center Hamburg-Eppendorf (LPEK-0042). All participants provided informed consent.

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Peters, H., Garbe, A., Breil, S.M. et al. Big five personality traits of medical students and workplace performance in the final clerkship year using an EPA framework. BMC Med Educ 24 , 453 (2024). https://doi.org/10.1186/s12909-024-05434-x

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Received : 17 December 2023

Accepted : 16 April 2024

Published : 25 April 2024

DOI : https://doi.org/10.1186/s12909-024-05434-x

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