conceptual literature example thesis

Conceptual and Theoretical Frameworks for Thesis Studies: What you must know

A theoretical framework is a conceptual model that provides a systematic and structured way of thinking about a research problem or question. It helps to identify key variables and the relationships between them and to guide the selection and interpretation of data. Theoretical frameworks draw on existing theories and research and can be used to develop new hypotheses or test existing ones. They provide a foundation for research design, data collection, and analysis and can help to ensure that research is relevant, rigorous, and coherent. Theoretical frameworks are common in many disciplines, including social sciences, natural sciences, and humanities, and are essential for building knowledge and advancing understanding in a field.

This article explains the importance of frameworks in a thesis study and the differences between conceptual frameworks and theoretical frameworks. It provides guidelines on how to write a thesis framework, definitions of variable types, and examples of framework types.

What is a research framework and why do I need one?

When planning your thesis study, you need to justify your research and explain its design to your readers. This is called the research framework.

When planning your thesis study, you need to justify your research and explain its design to your readers. This is called the research framework. Think of it as the foundation of a building. A good building needs a strong foundation. Similarly, your research needs to be supported by reviewing and explaining the existing knowledge in the field, describing how your research study will fit within or contribute to the existing literature (e.g., it could challenge or test an existing theory or address a knowledge gap), and informing the reader how your study design aligns with your thesis question or hypothesis.

Important components of the framework are a literature review of recent studies associated with your thesis topic as well as theories/models used in your field of research. The literature review acts as a filtering tool to select appropriate thesis questions and guide data collection, analysis, and interpretation of your findings. Think broadly! Apart from reviewing relevant published papers in your field of research, also explore theories that you have come across in your undergraduate courses, other published thesis studies, encyclopedias, and handbooks.

There are two types of research frameworks: theoretical and conceptual .

What is a conceptual framework?

A conceptual framework is a written or visual representation that explains the study variables and their relationships with each other. The starting point is a literature review of existing studies and theories about your topic.

Steps to develop a conceptual framework

• Clarify your study topic by identifying and defining key concepts in your thesis problem statement and thesis question. Essentially, your thesis should address a knowledge gap.
• Perform a literature review to provide a background to interpret and explain the study findings. Also, draw on empirical knowledge that you have gained from personal experience.
• Identify crucial variables from the literature review and your empirical knowledge, classify them as dependent or independent variables, and define them.
• Brainstorm all the possible factors that could affect each dependent variable.
• Propose relationships among the variables and determine any associations that exist between all variables.
• Use a flowchart or tree diagram to present your conceptual framework.

Types of variables

When developing a conceptual framework, you will need to identify the following:

• Independent variables
• Dependent variables
• Moderating variables
• Mediating variables
• Control variables

First, identify the independent (cause) and dependent (effect) variables in your study. Then, identify variables that influence this relationship, such as moderating variables, mediating variables, and control variables. A moderating variable changes the relationship between independent and dependent variables when its value increases or decreases. A mediating variable links independent and dependent variables to better explain the relationship between them. A control variable could potentially impact the cause-and-effect relationship but is kept constant throughout the study so that its effects on the findings/outcomes can be ruled out.

Example of a conceptual framework

You want to investigate the hours spent exercising (cause) on childhood obesity (effect).

Now, you need to consider moderating variables that affect the cause-and-effect relationship. In our example, the amount of junk food eaten would affect the level of obesity.

Next, you need to consider mediating variables. In our example, the maximum heart rate during exercise would affect the child’s weight.

Finally, you need to consider control variables. In this example, because we do not want to investigate the role of age in obesity, we can use this as a control variable. Thus, the study subjects would be children of a specific age (e.g., aged 6–10 years).

What is a theoretical framework?

A theoretical framework provides a general framework for data analysis. It defines the concepts used and explains existing theories and models in your field of research.

A theoretical framework provides a general framework for data analysis. It defines the concepts used and explains existing theories and models in your field of research. It also explains any assumptions that were used to inform your approach and your choice of specific rationales. Theoretical frameworks are often used in the fields of social sciences.

Purpose of a theoretical framework

• Test and challenge existing theories
• Establish orderly connections between observations and facts
• Predict and control situations
• Develop hypotheses

Steps to develop a theoretical framework

• Identify and define key concepts in your thesis problem statement and thesis question.
• Explain and evaluate existing theories by writing a literature review that describes the concepts, models, and theories that support your study.
• Choose the theory that best explains the relationships between the key variables in your study.
• Explain how your research study fills a knowledge gap or fits into existing studies (e.g., testing if an established theory applies to your thesis context).
• Discuss the relevance of any theoretical assumptions and limitations.

A thesis topic can be approached from a variety of angles, depending on the theories used.

• In psychology, a behavioral approach would use different methods and assumptions compared with a cognitive approach when treating anxiety.
• In literature, a book could be analyzed using different literary theories, such as Marxism or poststructuralism.

Structuring a theoretical framework

The structure of a theoretical framework is fluid, and there are no specific rules that need to be followed, as long as it is clearly and logically presented.

The theoretical framework is a natural extension of your literature review. The literature review should identify gaps in the field of your research, and reviewing existing theories will help to determine how these can be addressed. The structure of a theoretical framework is fluid, and there are no specific rules that need to be followed, as long as it is clearly and logically presented. The theoretical framework is sometimes integrated into the literature review chapter of a thesis, but it can also be included as a separate chapter, depending on the complexity of the theories.

Example of a theoretical framework

The sales staff at Company X are unmotivated and struggling to meet their monthly targets. Some members of the management team believe that this could be achieved by implementing a comprehensive product-training program, but others believe that introducing a sales commission structure will help.

Company X is not achieving their monthly sales targets

To increase monthly sales.

Research question:

How can Company X motivate their sales team to achieve its monthly sales targets?

Sub-questions:

• Why do the sales staff feel unmotivated?
• What is the relationship between motivation and monetary rewards?
• Do the sales staff feel that they have sufficient product knowledge?

Theoretical framework:

A literature search will need to be performed to understand the background of the many different theories of motivation in psychology. For example, Maslow’s Hierarchy of Needs (basic human needs—physiological, safety, love/belonging, esteem, and self-actualization—have to be fulfilled before one can live up to their true potential), Vroom’s Theory of Expectancy (people decide upon their actions based on the outcomes they expect), and Locke’s Goal-Setting Theory (goals are a key driver of one’s behavior). These theories would need to be investigated to determine which would be the best approach to increase the motivation of the sales staff in Company X so that the monthly sales targets are met.

A robust conceptual or theoretical framework is crucial when writing a thesis/dissertation. It defines your research gap, identifies your approach, and guides the interpretation of your results.

A thesis is the most important document you will write during your academic studies. For professional thesis editing and thesis proofreading services, check out Enago's Thesis Editing service s for more information.

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What type of framework is used in the Humanities and Social Sciences (HSS) domain? +

Theoretical frameworks are typically used in the HSS domain, while conceptual frameworks are used in the Sciences domain.

What is the difference between mediating versus moderating variables? +

The difference between mediators and moderators can be confusing. A moderating variable is unaffected by the independent variable and can increase or decrease the strength of the relationship between the independent and dependent variables. A mediating variable is affected by the independent variable and can explain the relationship between the independent and dependent variables. T he statistical correlation between the independent and dependent variables is higher when the mediating variable is excluded.

What software should I use to present my conceptual framework? +

The software program Creately provides some useful templates that can help you get started. Other recommended programs are SmartDraw , Inkscape , and diagrams.net .

Designing conceptual articles: four approaches

• Theory/Conceptual
• Open access
• Published: 09 March 2020
• Volume 10 , pages 18–26, ( 2020 )

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• Elina Jaakkola   ORCID: orcid.org/0000-0003-4654-7573 1  

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As a powerful means of theory building, conceptual articles are increasingly called for in marketing academia. However, researchers struggle to design and write non-empirical articles because of the lack of commonly accepted templates to guide their development. The aim of this paper is to highlight methodological considerations for conceptual papers: it is argued that such papers must be grounded in a clear research design, and that the choice of theories and their role in the analysis must be explicated and justified. The paper discusses four potential templates for conceptual papers – Theory Synthesis, Theory Adaptation, Typology, and Model – and their respective aims, approach for using theories, and contribution potential. Supported by illustrative examples, these templates codify some of the tacit knowledge that underpins the design of non-empirical papers and will be of use to anyone undertaking, supervising, or reviewing conceptual research.

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Introduction

The major academic journals in the field of marketing acknowledge the need for good conceptual papers that can “bridge existing theories in interesting ways, link work across disciplines, provide multi-level insights, and broaden the scope of our thinking” (Gilson and Goldberg 2015 , p. 128). Indeed, many of the most impactful marketing papers of recent decades are conceptual as this type of research enables theory building unrestricted by the demands of empirical generalization (e.g., Vargo and Lusch 2004 ). Authors crafting conceptual papers can find valuable advice on problematizing (Alvesson and Sandberg 2011 ), theorizing and theory building (Corley and Gioia 2011 ; Cornelissen 2017 ; Shepherd and Suddaby 2017 ), and the types of conceptual contribution that warrant publication (Corley and Gioia 2011 ; MacInnis 2011 ). However, a lack of commonly accepted templates or “recipes” for building the paper means that writing a conceptual piece can be a struggle (Cornelissen 2017 ). As a result, reviewers often face conceptual papers that offer little more than a descriptive literature review or interesting but disjointed ideas.

In empirical papers, the recipe typically is the research design that provides the paper structure and logic, guiding the process of developing new knowledge and offering conventions for reporting the key elements of the research (Flick 2018 , p. 102). The research design explains how the ingredients of the study were selected, acquired, and analyzed to effectively address the research problem, and reviewers can evaluate the robustness of this process by reference to established conventions in the existing literature. As conceptual papers generally do not fit the mold of empirical research, authors and reviewers lack any such recipe book, making the critical issue of analytical rigor more challenging.

This paper addresses issues of methodology and research design for conceptual papers. The discussion is built on previous “how to” guides to conceptual research, and on examples from high quality journals to identify and illustrate different options for conceptual research design. This paper discusses four templates—Theory Synthesis, Theory Adaptation, Typology, and Model—and explicates their aims, their approach to theory use, and their contribution potential. The paper does not focus on theory building itself but supports it, as analytical rigor is a prerequisite for high quality theorizing. Nor is the focus on literature reviews or meta-analyses; while these are important non-empirical forms of research, there are well articulated existing guidelines for such articles (see for example Webster and Watson 2002 ; Palmatier et al. 2018 ).

The ultimate goal of this paper is to direct scholarly attention to the importance of a systematic approach to developing a conceptual paper. Experienced editors and reviewers have noted that researchers sometimes underestimate how difficult it is to write a rigorous conceptual paper and consider this an easy route to publishing—an essay devoid of deeper scholarship (Hirschheim 2008 ). In reality, developing a cogent argument and building a supporting theoretical explanation requires tacit knowledge and skills that doctoral programs seldom teach (Yadav 2010 ; King and Lepak 2011 ). As Fulmer puts it, “in a theoretical paper the author is faced with a mixed blessing: greater freedom and page length within which to develop theory but also more editorial rope with which to hang him/herself” ( 2012 , p. 330).

The paper is organized as follows. The next section outlines key methodological requirements for conceptual studies. Four common types of research design are then identified and discussed with supporting examples. The article ends with conclusions and recommendations for marketing scholars undertaking, supervising, or reviewing conceptual research.

Conceptual papers: some methodological requirements

The term “research design” refers to decisions about how to achieve research goals, linking theories, questions, and goals to appropriate resources and methods (Flick 2018 , p. 102). In short, the research design is a plan for collecting and analyzing evidence that helps to answer the question posed (Ragin 1994 , p. 191). Like any design, the research design should improve usability ; a good research design is the optimal tool for addressing the research problem, and it communicates the logic of the study in a transparent way. In principle, any piece of research should be designed to deliver trustworthy answers to the question posed in a credible and justified manner.

An empirical research design typically involves decisions about the underlying theoretical framing of the study as well as issues of data collection and analysis (e.g. Miller and Salkind 2002 ). Imagine, for example, an empirical paper where the authors did not argue for their sampling criteria or choice of informants, or failed to define the measures used or to show how the results were derived from the data. It can be argued that conceptual papers entail similar considerations (Table 1 ), as the omission of equivalent elements would create similar confusion. In other words, a well-designed conceptual paper must explicitly justify and explicate decisions about key elements of the study. The following sections elaborate more specifically on designing and communicating these “methodological” aspects of conceptual papers.

Explicating and justifying the choice of theories and concepts

Empirical and conceptual papers ultimately share a common goal: to create new knowledge by building on carefully selected sources of information combined according to a set of norms. In the case of conceptual papers, arguments are not derived from data in the traditional sense but involve the assimilation and combination of evidence in the form of previously developed concepts and theories (Hirschheim 2008 ). In that sense, conceptual papers are not without empirical insights but rather build on theories and concepts that are developed and tested through empirical research.

In an empirical study, the researcher determines what data are needed to address the research questions and specifies sampling criteria and research instruments accordingly. In similar fashion, a conceptual paper should explain how and why the theories and concepts on which it is grounded were selected. In simple terms, there are two possible points of departure. The first option is to start from a focal phenomenon that is observable but not adequately addressed in the existing research. The authors may inductively identify differing conceptualizations of that phenomenon, and then argue that the aspect of interest is best addressed in terms of particular concepts or theories. That is, the choice of concepts is based on their fit to the focal phenomenon and their complementary value in conceptualizing it. One key issue here is how the researcher conceptualizes the empirical phenomenon; in selecting particular concepts and theories, the researcher is de facto making an argument about the conceptual ingredients of the empirical phenomenon in question.

A second and perhaps more common approach is to start from a focal theory by arguing that a particular concept, theory, or research domain is internally incoherent or incomplete in some important respect and then introducing other theories to bridge the observed gaps. In this case, the choice of theories or concepts is based on their ability to address the observed shortcoming in the existing literature, i.e. their supplementary value. This simplified account raises a critical underlying question: what is the value that each selected concept, literature stream, or theory brings to the study, and why are they selected in preference to something else?

Explicating the role of different theories and concepts in the analysis

Conceptual papers typically draw on multiple concepts, literature streams, and theories that play differing roles. It is difficult to imagine a (published) empirical paper where the reader could not distinguish empirical data from the literature review. In a conceptual paper, however, it is sometimes difficult to tell which theories provide the “data” and which are framing the analysis. In this regard, Lukka and Vinnari ( 2014 ) drew a useful distinction between domain theory and method theory. A domain theory is “a particular set of knowledge on a substantive topic area situated in a field or domain” (ibid, p. 1309)—that is, an area of study characterized by a particular set of constructs, theories, and assumptions (MacInnis 2011 ). A method theory, on the other hand, is “a meta-level conceptual system for studying the substantive issue(s) of the domain theory at hand” (Lukka and Vinnari 2014 , p. 1309). For example, Brodie et al. ( 2019 ) sought to advance engagement research (domain theory) by drawing new perspectives from service-dominant logic (method theory). The distinction is relative rather than absolute; whether a particular theory is domain or method theory depends on its role in the study in question (Lukka and Vinnari 2014 ). Indeed, a single study can accommodate multiple domain and method theories.

In a conceptual paper, one crucial function of the research design is to explicate the role of each element in the paper; failure to explain this is likely to render the logic of “generating findings” practically invisible to the reader. Defining the roles of different theories also helps to indicate the paper’s positioning, and how its contribution should be evaluated. Typically, the role of the method theory is to provide some new insight into the domain theory—for example, to expand, organize, or offer a new or alternative explanation of concepts and relationships. This means that contribution usually centers on the domain theory, not the method theory (Lukka and Vinnari 2014 ). For example, marketing scholars often use established theories such as resource-based theory, institutional theory, or practice theory as method theories, but any suitable framework (even from other disciplines) can play this role. Footnote 1

Making the chain of evidence visible and easy to grasp

Conceptual papers typically focus on proposing new relationships among constructs; the purpose is thus to develop logical and complete arguments about these associations rather than testing them empirically (Gilson and Goldberg 2015 ). The issue of how to develop logical arguments is hence pivotal. As well as arguing that concepts are linked, authors must provide a theoretical explanation for that link. As that explanation demonstrates the logic of connections between concepts, it is critical for theory building (King and Lepak 2011 ).

In attempting to analyze what constitutes a good argument, Hirschheim ( 2008 ) adopted a framework first advanced by the British philosopher Toulmin ( 1958 ), according to which an argument has three necessary components: claims, grounds, and warrants. Claims refer to the explicit statement or thesis that the reader is being asked to accept as true—the outcome of the research. Grounds are the evidence and reasoning used to support the claim and to persuade the reader. In a conceptual paper, this evidence is drawn from previous studies rather than from primary data. Finally, warrants are the underlying assumptions or presuppositions that link grounds to claims. Warrants are often beliefs implicitly accepted within the given research domain—for example the assumption that organizations strive to satisfy their customers. In a robust piece of research, claims should be substantiated by sufficient grounds, and should be of sufficient significance to make a worthwhile contribution to knowledge (Hirschheim 2008 ).

In practice, the chain of evidence in a conceptual paper is made visible to the reader by explicating the key steps in the argument. How is the studied phenomenon conceptualized? What are the study’s implicit assumptions, stemming from its theoretical underpinnings? Are the premises and axioms used to ground the arguments sufficiently explicit to enable another researcher to arrive at similar analytical conclusions? Conceptual clarity, parsimony, simplicity, and logical coherence are important qualities of any academic study but are arguably all the more critical when developing arguments without empirical data.

A paper’s structure is a strong determinant of how easy it is to follow the chain of argumentation. While there is no single best way to structure a conceptual paper, what successful papers have in common is a careful matching of form and structure to theoretical purpose of the paper (Fulmer 2012 ). The structure should therefore reflect both the aims of the research and the role of the various lenses deployed to achieve those aims—in other words, the structure highlights what the authors seek to explain. A clear structure also contributes to conceptual clarity by making the hierarchy of concepts and their elements intuitively available to the reader, eliminating any noise that might distort the underlying message. As Hirschheim ( 2008 ) noted, a clear structure ensures a place for everything—omitting nothing of importance—and puts everything in its place, avoiding redundancies.

Common types of research design in conceptual papers

In marked contrast to empirical research, there is no widely shared understanding of basic types of research design in respect to conceptual papers, with the exception of literature reviews and meta-analyses. To address this issue, the present study considers four such types: Theory Synthesis, Theory Adaptation, Typology , and Model (see Table 2 ). These types serve to clarify differences of methodological approach—that is, how the argument is structured and developed—rather than the types of conceptual contributions that are the main consideration of MacInnis ( 2011 ). The four types discussed here derive from an analysis of goal setting, structuring, and logic of argumentation in multiple articles published in high quality journals. It should be said that the list is not exhaustive, and other researchers would no doubt have formulated differing perspectives. Nevertheless, the presented scheme can inspire researchers to explore and explicate one’s approach to conceptual research, and perhaps to formulate an alternative approach. It should also be noted that the goals of a conceptual article can be as varied as in any other form of academic research. Table 2 identifies some possible or likely goals for each suggested type; these are not mutually exclusive and are often combined.

Theory synthesis

A theory synthesis paper seeks to achieve conceptual integration across multiple theories or literature streams. Such papers offer a new or enhanced view of a concept or phenomenon by linking previously unconnected or incompatible pieces in a novel way. Papers of this type contribute by summarizing and integrating extant knowledge of a concept or phenomenon. According to MacInnis ( 2011 ), summarizing helps researchers see the forest for the trees by encapsulating, digesting, and reducing what is known to a manageable whole. Integration enables researchers to see a concept or phenomenon in a new way by transforming previous findings and theory into a novel higher-order perspective that links phenomena previously considered distinct (MacInnis 2011 ). For example, a synthesis paper might chart a new or unstructured phenomenon that has previously been addressed in piecemeal fashion across diverse domains or disciplines. Such papers may also explore the conceptual underpinnings of an emerging theory or explain conflicting research findings by providing a more parsimonious explanation that pulls disparate elements into a more coherent whole.

This kind of systematization is especially helpful when research on a given topic is fragmented across different literatures, helping to identify and underscore commonalities that build coherence (Cropanzano 2009 ). For example, in their review of conceptualizations of customer experience across multiple literature fields, Becker and Jaakkola’s ( 2020 ) analysis of the compatibility of various elements and assumptions provided a new integrative view that could be generalized across settings and contexts. In more mature fields, synthesis can help to identify gaps in the extant research, which is often the goal of systematic literature reviews. However, gap spotting is seldom a sufficient source of contribution as the main aim of a conceptual paper should be to enhance existing theoretical understanding on the studied phenomenon or concept. The synthesis paper represents a form of theorizing that emphasizes narrative reasoning that seeks to unveil “big picture” patterns and connections rather than specific causal mechanisms (Delbridge and Fiss 2013 ).

Although there is sometimes a fine line between theory synthesis and literature review, there remains a clear distinction between the two. While a well-crafted literature review takes stock of the field and can provide valuable insights into its development, scope, or future prospects, it remains within the existing conceptual or theoretical boundaries, describing extant knowledge rather than looking beyond it. In the case of a conceptual paper, the literature review is a necessary tool but not the ultimate objective. Moreover, in a theory synthesis paper, the role of the literature review is to unravel the components of a concept or phenomenon and it must sometimes reduce or exclude incommensurable elements. A lack of elegance occurs when authors attempt to hammer together separate research ideas in a series of “minireviews” instead of attending to a single conceptual theme (Cropanzano 2009 ). For example, a literature review that seeks to integrate multiple research perspectives may instead merely summarize in separate chapters what each has to say about the concept. Typically, different research perspectives employ differing terms and structure, or categorize conceptual elements in distinct ways. Integration and synthesis requires that the researcher explicates and unravels the conceptual underpinnings and building blocks that different perspectives use to conceptualize a phenomenon, and the looks for common ground on which to build a new and enhanced conceptualization.

A theory synthesis paper may seek to increase understanding of a relatively narrow concept or empirical phenomenon. For example, Lemon and Verhoef ( 2016 ) summarized the conceptual background and extant conceptualizations of customer journeys to produce a new integrative view. They framed the journey phenomenon in terms of the consumer purchasing process and organized the extant research within this big picture. Similarly, arguing that the knowledge base of relationship marketing and business networks perspectives was unduly fragmented, Möller ( 2013 ) deployed a metatheoretical lens to construct an articulated theory map that accommodated various domain theories, leading to the development of two novel middle-range theories.

Ultimately, a theory synthesis paper can integrate an extensive set of theories and phenomena under a novel theoretical umbrella. One good example is Vargo and Lusch’s ( 2004 ) seminal article, which pulled together key ingredients from diverse fields such as market orientation, relationship marketing, network management, and value management into a novel integrative narrative to formulate the more parsimonious framework of service-dominant logic. In so doing, they drew on resource based theory, structuration theory, and institutional theory as method theories to organize and synthesize concepts and themes from middle-range literature fields (e.g., Vargo and Lusch 2004 , 2016 ). While extant research provided the basis for a novel framework, existing concepts were decomposed into such fine-grained ingredients that the resulting integration was a new theoretical view in its own right rather than a summary of existing concepts.

Theory adaptation

Papers that focus on theory adaptation seek to amend an existing theory by using other theories. While empirical research may gradually extend some element of theory within a given context, theory-based adaptation attempts a more immediate shift of perspective. Theory adaptation papers develop contribution by revising extant knowledge—that is, by introducing alternative frames of reference to propose a novel perspective on an extant conceptualization (MacInnis 2011 ). The point of departure for such papers, then, is the problematization of a particular theory or concept. For example, the authors might argue that certain empirical developments or insights from other streams of literature render an existing conceptualization insufficient or conflicted, and that some reconfiguration or shift of perspective or scope is needed to better align the concept or theory to its purpose or to reconcile certain inconsistencies. Typically, the researcher draws from another theory that is equipped to guide this shift. The contribution of this type of a paper is often positioned to the domain where the focal concept is situated.

The starting point for the theory adaptation paper is the theory or concept of interest (domain theory). Other theories are used as tools, or method theories (Lukka and Vinnari 2014 ) to provide an alternative frame of reference to adjust or expand its conceptual scope. One “method” of adaptation is to switch the level of analysis; for example, Alexander et al. ( 2018 ) provided new insights into the influence of institutions on customer engagement by shifting from a micro level analysis of customer relationships—the prevailing view in the field—to meso and macro level views, adapting Chandler and Vargo’s ( 2011 ) process of oscillating foci. Another option is to use an established theory to explore new aspects of the domain theory (Yadav 2010 ). As one example of this type of design, Brodie et al. ( 2019 ) argued for the practical and theoretical importance of expanding the scope of engagement research in two ways: from a focus on consumers to a broad range of actors, and from dyadic firm-customer relationships to networks. As well as justifying why a particular extension or change of focus is needed, a theory adaptation paper must also show that the selected method theory is the best available option. For example, Brodie et al. ( 2019 ) explained that they employed service-dominant logic to broaden the conceptual scope of engagement research because it offered a lens for understanding actor-to-actor interactions in networks. Similarly, Hillebrand et al. ( 2015 ) used multiplicity theory to revise existing perspectives on stakeholder marketing by viewing stakeholder networks as continuous rather than discrete. They argued that this provides a more accurate understanding of markets characterized by complex value exchange and dispersed control.

A typology paper classifies conceptual variants as distinct types. The aim is to develop a categorization that “explains the fuzzy nature of many subjects by logically and causally combining different constructs into a coherent and explanatory set of types” (Cornelissen 2017 ). A typology paper provides a more precise and nuanced understanding of a phenomenon or concept, pinpointing and justifying key dimensions that distinguish the variants.

Typology papers contribute through differentiation— distinguishing, dimensionalizing, or categorizing extant knowledge of the phenomenon, construct, or theory in question (MacInnis 2011 ). Typologies reduce complexity (Fiss 2011 ). They demonstrate how variants of an entity differ, and hence organize complex networks of concepts and relationships, and may help by recognizing their differing antecedents, manifestations, or effects (MacInnis 2011 ). Typologies also offer a multidimensional view of the target phenomenon by categorizing theoretical features or dimensions as distinct profiles that offer coordinates for empirical research (Cornelissen 2017 ). For example, the classic typologies elaborated by Mills and Margulies ( 1980 ) and Lovelock ( 1983 ) assigned services to categories reflecting different aspects of the relationship between customers and the service organization, facilitating prediction of organizational behavior and marketing action. These theory-based typologies have informed numerous empirical applications.

The starting point for a typology paper is typically recognition of an important but fragmented research domain characterized by differing manifestations of a concept or inconsistent findings regarding drivers or outcomes. The researcher accumulates knowledge of the focal topic and then organizes it to capture the variability of particular characteristics of the concept or phenomenon. For example, after exploring different approaches to service innovation, Helkkula et al. ( 2018 ) proposed a typology of four archetypes. They suggested that variance within the extant research could be explained by differences of theoretical perspective and argued that each type had distinct implications for value creation.

The dimensions of a typology can also be differentiated by applying another theory (i.e. methods theory) that provides a logical explanation of why differences exist and why they are relevant. For example, to examine the boundaries of resource integration, Dong and Sivakumar ( 2017 ) developed a typology of customer participation, using dimensions drawn from resource-based theory, to address the fundamental resource deployment questions of whether there is a choice in terms of who performs a task and what task is performed (Kozlenkova et al. 2014 ).

Snow and Ketchen Jr. ( 2014 ) argued that well-developed typologies are more than just classification systems; rather, a typology articulates relationships among constructs and facilitates testable predictions (cf. Doty and Glick 1994 ). In this way, a typology can propose multiple causal relationships in a given setting (Fiss 2011 ). While a typology paper enhances understanding of a phenomenon by delineating its key variants, it can be seen to differ from a synthesis or adaptation paper by virtue of its explanatory character. This is the typology’s raison d’etre; types always explain something, and the dimensions that distinguish types account for the different drivers, outcomes, or contingencies of particular variants of the phenomenon. By accommodating asymmetric causal relations, typologies facilitate the development of configurational arguments beyond simple correlations (Fiss 2011 ).

The model paper seeks to build a theoretical framework that predicts relationships between concepts. A conceptual model describes an entity and identifies issues that should be considered in its study: it can describe an event, an object, or a process, and explain how it works by disclosing antecedents, outcomes, and contingencies related to the focal construct (Meredith 1993 ; MacInnis 2011 ). This typically involves a form of theorizing that seeks to create a nomological network around the focal concept, employing a formal analytical approach to examine and detail the causal linkages and mechanisms at play (Delbridge and Fiss 2013 ). A model paper identifies previously unexplored connections between constructs, introduces new constructs, or explains why elements of a process lead to a particular outcome (Cornelissen 2017 ; Fulmer 2012 ).

The model paper contributes to extant knowledge by delineating an entity: its goal is “to detail, chart, describe, or depict an entity and its relationship to other entities” (MacInnis 2011 ). In a conceptual article, creative scope is unfettered by data-related limitations, allowing the researcher to explore and model emerging phenomena where few empirical data are available (Yadav 2010 ). The model paper typically contributes by providing a roadmap for understanding the entity in question by delineating the focal concept, how it changes, the processes by which it operates, or the moderating conditions that may affect it (MacInnis 2011 ).

A model paper typically begins from a focal phenomenon or construct that warrants further explanation. For example, Huang and Rust ( 2018 ) sought to explain the process and mechanism by which artificial intelligence (AI) will replace humans in service jobs. They employed literature that tackles key variables associated with the target phenomenon: service research illuminates the focal phenomenon, technology-enabled services, and research across multiple disciplines discusses the likely impact of AI on human labor. By synthesizing this literature pool, they identified four types of intelligence and then built a theory that could predict the impact of AI on human service labor. This involved a particular kind of formal reasoning, supported by research from multiple disciplines and real-world applications (Huang and Rust 2018 ). In other words, the authors use method theories and deductive reasoning to explain relationships between key variables, facilitated by theories in use (MacInnis 2011 ).

Model papers typically summarize arguments in the form of a figure that depicts the salient constructs and their relationships, or as a set of formal propositions that are logical statements derived from the conceptual framework (Meredith 1993 ). For example, Payne et al. ( 2017 ) used resource-based theory to develop a conceptual model of the antecedents and outcomes of customer value propositions. While figures and propositions of this kind help the reader by condensing the paper’s main message, Delbridge and Fiss ( 2013 ) noted that they are also a double-edged sword. At their best, propositions distill the essence of an argument into a parsimonious and precise form, but by virtue of this very ability, they also put a spotlight on the weaknesses in the argument chain. According to Cornelissen ( 2017 ), the researcher should therefore be clear about the “causal agent” in any proposed relationship between constructs when developing propositions—in other words, the trigger or force that drives a particular outcome or effect. Careful consideration and justification of the choice of theories and the manner in which they are integrated to produce the arguments is hence pivotal in sharpening and clarifying the argumentation to convince reviewers and readers.

Conclusions

This paper highlights the role of methodological considerations in conceptual papers by discussing alternative types of research design, in the hope of encouraging researchers to critically assess and develop conceptual papers accordingly. Authors of conceptual papers should readily answer the following questions: What is the logic of creating new knowledge? Why are particular information sources selected, and how are they analyzed? What role does each theory play? For reviewers, assessing conceptual papers can be difficult not least because the generally accepted and readily available guidelines for evaluating empirical research seldom apply directly to non-empirical work. By asking these questions, reviewers and supervisors can evaluate whether the research design of a paper or thesis is carefully crafted and clearly communicated to the reader.

The paper identifies four types of conceptual papers—Theory Synthesis, Theory Adaptation, Typology, and Model—and discusses their aims, methods of theory use, and potential contributions. Although this list is not exhaustive, these types offer basic templates for designing conceptual research and determining its intended contribution (cf. MacInnis 2011 ). Careful consideration of these alternative types can facilitate more conscious selection of approach and structure for a conceptual paper. Researchers can also consider opportunities for combining types. In many cases, mixing two types can be an attractive option. For example, after distinguishing types of service innovation in terms of their conceptual underpinnings, Helkkula et al. ( 2018 ) synthesized a novel conceptualization of service innovation that exploited the strengths of each type and mitigated their limitations. Typologies can also provide the basis for models, and synthesis can lead to theory adaptation.

This paper highlights the many alternative routes along which conceptual papers can advance extant knowledge. We should consider conceptual papers not just as a means to take stock, but to break new ground. Empirical research takes time to accumulate, and the scope for generalization is relatively narrow. In contrast, conceptual papers can strive to advance understanding of a concept or phenomenon in big leaps rather than incremental steps. To be taken seriously, any such leap must be grounded in thorough consideration and justification of an appropriate research design.

A discussion of how different theoretical lenses can be integrated is beyond the scope of this paper, but see for example Okhuysen and Bonardi ( 2011 ) and Gioia and Pitre ( 1990 ).

Alexander, M. J., Jaakkola, E., & Hollebeek, L. D. (2018). Zooming out: Actor engagement beyond the dyadic. Journal of Service Management, 29 (3), 333–351.

Article   Google Scholar  

Alvesson, M., & Sandberg, J. (2011). Generating research questions through problematization. Academy of Management Review, 36 (2), 247–271.

Google Scholar  

Becker, L., & Jaakkola, E. (2020). Customer experience: Fundamental premises and implications for research. Journal of the Academy of Marketing Science . https://doi.org/10.1007/s11747-019-00718-x .

Brodie, R. J., Fehrer, J. A., Jaakkola, E., & Conduit, J. (2019). Actor engagement in networks: Defining the conceptual domain. Journal of Service Research, 22 (2), 173–188.

Chandler, J. D., & Vargo, S. L. (2011). Contextualization and value-in-context: How context frames exchange. Marketing Theory, 11 (1), 35–49.

Corley, K. G., & Gioia, D. A. (2011). Building theory about theory building: What constitutes a theoretical contribution? Academy of Management Review, 36 (1), 12–32.

Cornelissen, J. (2017). Editor’s comments: Developing propositions, a process model, or a typology? Addressing the challenges of writing theory without a boilerplate. Academy of Management Review, 42 (1), 1–9.

Cropanzano, R. (2009). Writing nonempirical articles for Journal of Management: General thoughts and suggestions. Journal of Management, 35 (6), 1304–1311.

De Brentani, U., & Reid, S. E. (2012). The fuzzy front-end of discontinuous innovation: Insights for research and management. Journal of Product Innovation Management, 29 (1), 70–87.

Delbridge, R., & Fiss, P. C. (2013). Editors’ comments: Styles of theorizing and the social organization of knowledge. Academy of Management Review, 38 (3), 325–331.

Dong, B., & Sivakumar, K. (2017). Customer participation in services: Domain, scope, and boundaries. Journal of the Academy of Marketing Science, 45 (6), 944–965.

Doty, D. H., & Glick, W. H. (1994). Typologies as a unique form of theory building: Toward improved understanding and modeling. Academy of Management Review, 19 (2), 230–251.

Eckhardt, G. M., Houston, M. B., Jiang, B., Lamberton, C., Rindfleisch, A., & Zervas, G. (2019). Marketing in the sharing economy. Journal of Marketing, 83 (5), 5–27.

Edvardsson, B., Kristensson, P., Magnusson, P., & Sundström, E. (2012). Customer integration within service development—A review of methods and an analysis of insitu and exsitu contributions. Technovation, 32 (7–8), 419–429.

Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organizational research. Academy of Management Journal, 54 , 393–420.

Flick, U. (2018). An introduction to qualitative research . London: Sage Publications.

Fulmer, I. S. (2012). Editor's comments: The craft of writing theory articles—Variety and similarity in AMR. Academy of Management Review, 37 , 327–331.

Gilson, L. L., & Goldberg, C. B. (2015). Editors’ comment: So, what is a conceptual paper? Group & Organization Management, 40 (2), 127–130.

Gioia, D., & Pitre, E. (1990). Multiparadigm perspectives on theory building. Academy of Management Review, 15 (4), 584–602.

Hartmann, N. N., Wieland, H., & Vargo, S. L. (2018). Converging on a new theoretical foundation for selling. Journal of Marketing, 82 (2), 1–18.

Helkkula, A., Kowalkowski, C., & Tronvoll, B. (2018). Archetypes of service innovation: Implications for value cocreation. Journal of Service Research, 21 (3), 284–301.

Hillebrand, B., Driessen, P. H., & Koll, O. (2015). Stakeholder marketing: Theoretical foundations and required capabilities. Journal of the Academy of Marketing Science, 43 (4), 411–428.

Hirschheim, R. (2008). Some guidelines for the critical reviewing of conceptual papers. Journal of the Association for Information Systems, 9 (8), 432–441.

Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21 (2), 155–172.

King, A. W., & Lepak, D. (2011). Editors’ comments: Myth busting—What we hear and what we’ve learned about AMR. Academy of Management Review, 36 (2), 207–214.

Kozlenkova, I. V., Samaha, S. A., & Palmatier, R. W. (2014). Resource-based theory in marketing. Journal of the Academy of Marketing Science, 42 (1), 1–21.

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80 , 69–96.

Lovelock, C. H. (1983). Classifying services to gain strategic marketing insights. Journal of Marketing, 47 (3), 9–20.

Lukka, K., & Vinnari, E. (2014). Domain theory and method theory in management accounting research. Accounting, Auditing & Accountability Journal, 27 (8), 1308–1338.

MacInnis, D. J. (2011). A framework for conceptual contributions in marketing. Journal of Marketing, 75 (4), 136–154.

MacInnis, D. J., & De Mello, G. E. (2005). The concept of hope and its relevance to product evaluation and choice. Journal of Marketing, 69 (1), 1–14.

Meredith, J. (1993). Theory building through conceptual methods. International Journal of Operations & Production Management, 13 (5), 3–11.

Miller, D. C., & Salkind, N. J. (2002). Elements of research design. In Handbook of research design & social measurement, ed. by Miller D.C. & Salkind, J.J. Thousand Oaks: SAGE Publications.

Mills, P. K., & Margulies, N. (1980). Toward a core typology of service organizations. Academy of Management Review, 5 (2), 255–266.

Möller, K. (2013). Theory map of business marketing: Relationships and networks perspectives. Industrial Marketing Management, 42 (3), 324–335.

Okhuysen, G., & Bonardi, J. (2011). The challenges of building theory by combining lenses. Academy of Management Review, 36 (1), 6–11.

Palmatier, R. W., Houston, M. B., & Hulland, J. (2018). Review articles: Purpose, process, and structure. Journal of the Academy of Marketing Science, 46 (1), 1–5.

Payne, A., Frow, P., & Eggert, A. (2017). The customer value proposition: Evolution, development, and application in marketing. Journal of the Academy of Marketing Science, 45 (4), 467–489.

Ragin, C. C. (1994). Constructing social research . Thousand Oaks: Pine Forge Press.

Shepherd, D. A., & Suddaby, R. (2017). Theory building: A review and integration. Journal of Management, 43 (1), 59–86.

Snow, C. C., & Ketchen Jr., D. J. (2014). Typology-driven theorizing: A response to Delbridge and Fiss. Academy of Management Review, 39 (2), 231–233.

Toulmin, S. (1958). The uses of argument . Cambridge: Cambridge University Press.

Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68 , 1–17.

Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: An extension and update of service-dominant logic. Journal of the Academy of Marketing Science, 44 (1), 5–23.

Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly , xiii–xxiii.

White, K., Habib, R., & Hardisty, D. J. (2019). How to SHIFT consumer behaviors to be more sustainable: A literature review and guiding framework. Journal of Marketing, 83 (3), 22–49.

Yadav, M. S. (2010). The decline of conceptual articles and implications for knowledge development. Journal of Marketing, 74 (1), 1–19.

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Jaakkola, E. Designing conceptual articles: four approaches. AMS Rev 10 , 18–26 (2020). https://doi.org/10.1007/s13162-020-00161-0

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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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Literature Reviews, Theoretical Frameworks, and Conceptual Frameworks: An Introduction for New Biology Education Researchers

Julie a. luft.

† Department of Mathematics, Social Studies, and Science Education, Mary Frances Early College of Education, University of Georgia, Athens, GA 30602-7124

Sophia Jeong

‡ Department of Teaching & Learning, College of Education & Human Ecology, Ohio State University, Columbus, OH 43210

Robert Idsardi

§ Department of Biology, Eastern Washington University, Cheney, WA 99004

Grant Gardner

∥ Department of Biology, Middle Tennessee State University, Murfreesboro, TN 37132

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To frame their work, biology education researchers need to consider the role of literature reviews, theoretical frameworks, and conceptual frameworks as critical elements of the research and writing process. However, these elements can be confusing for scholars new to education research. This Research Methods article is designed to provide an overview of each of these elements and delineate the purpose of each in the educational research process. We describe what biology education researchers should consider as they conduct literature reviews, identify theoretical frameworks, and construct conceptual frameworks. Clarifying these different components of educational research studies can be helpful to new biology education researchers and the biology education research community at large in situating their work in the broader scholarly literature.

INTRODUCTION

Discipline-based education research (DBER) involves the purposeful and situated study of teaching and learning in specific disciplinary areas ( Singer et al. , 2012 ). Studies in DBER are guided by research questions that reflect disciplines’ priorities and worldviews. Researchers can use quantitative data, qualitative data, or both to answer these research questions through a variety of methodological traditions. Across all methodologies, there are different methods associated with planning and conducting educational research studies that include the use of surveys, interviews, observations, artifacts, or instruments. Ensuring the coherence of these elements to the discipline’s perspective also involves situating the work in the broader scholarly literature. The tools for doing this include literature reviews, theoretical frameworks, and conceptual frameworks. However, the purpose and function of each of these elements is often confusing to new education researchers. The goal of this article is to introduce new biology education researchers to these three important elements important in DBER scholarship and the broader educational literature.

The first element we discuss is a review of research (literature reviews), which highlights the need for a specific research question, study problem, or topic of investigation. Literature reviews situate the relevance of the study within a topic and a field. The process may seem familiar to science researchers entering DBER fields, but new researchers may still struggle in conducting the review. Booth et al. (2016b) highlight some of the challenges novice education researchers face when conducting a review of literature. They point out that novice researchers struggle in deciding how to focus the review, determining the scope of articles needed in the review, and knowing how to be critical of the articles in the review. Overcoming these challenges (and others) can help novice researchers construct a sound literature review that can inform the design of the study and help ensure the work makes a contribution to the field.

The second and third highlighted elements are theoretical and conceptual frameworks. These guide biology education research (BER) studies, and may be less familiar to science researchers. These elements are important in shaping the construction of new knowledge. Theoretical frameworks offer a way to explain and interpret the studied phenomenon, while conceptual frameworks clarify assumptions about the studied phenomenon. Despite the importance of these constructs in educational research, biology educational researchers have noted the limited use of theoretical or conceptual frameworks in published work ( DeHaan, 2011 ; Dirks, 2011 ; Lo et al. , 2019 ). In reviewing articles published in CBE—Life Sciences Education ( LSE ) between 2015 and 2019, we found that fewer than 25% of the research articles had a theoretical or conceptual framework (see the Supplemental Information), and at times there was an inconsistent use of theoretical and conceptual frameworks. Clearly, these frameworks are challenging for published biology education researchers, which suggests the importance of providing some initial guidance to new biology education researchers.

Fortunately, educational researchers have increased their explicit use of these frameworks over time, and this is influencing educational research in science, technology, engineering, and mathematics (STEM) fields. For instance, a quick search for theoretical or conceptual frameworks in the abstracts of articles in Educational Research Complete (a common database for educational research) in STEM fields demonstrates a dramatic change over the last 20 years: from only 778 articles published between 2000 and 2010 to 5703 articles published between 2010 and 2020, a more than sevenfold increase. Greater recognition of the importance of these frameworks is contributing to DBER authors being more explicit about such frameworks in their studies.

Collectively, literature reviews, theoretical frameworks, and conceptual frameworks work to guide methodological decisions and the elucidation of important findings. Each offers a different perspective on the problem of study and is an essential element in all forms of educational research. As new researchers seek to learn about these elements, they will find different resources, a variety of perspectives, and many suggestions about the construction and use of these elements. The wide range of available information can overwhelm the new researcher who just wants to learn the distinction between these elements or how to craft them adequately.

Our goal in writing this paper is not to offer specific advice about how to write these sections in scholarly work. Instead, we wanted to introduce these elements to those who are new to BER and who are interested in better distinguishing one from the other. In this paper, we share the purpose of each element in BER scholarship, along with important points on its construction. We also provide references for additional resources that may be beneficial to better understanding each element. Table 1 summarizes the key distinctions among these elements.

Comparison of literature reviews, theoretical frameworks, and conceptual reviews

This article is written for the new biology education researcher who is just learning about these different elements or for scientists looking to become more involved in BER. It is a result of our own work as science education and biology education researchers, whether as graduate students and postdoctoral scholars or newly hired and established faculty members. This is the article we wish had been available as we started to learn about these elements or discussed them with new educational researchers in biology.

LITERATURE REVIEWS

Purpose of a literature review.

A literature review is foundational to any research study in education or science. In education, a well-conceptualized and well-executed review provides a summary of the research that has already been done on a specific topic and identifies questions that remain to be answered, thus illustrating the current research project’s potential contribution to the field and the reasoning behind the methodological approach selected for the study ( Maxwell, 2012 ). BER is an evolving disciplinary area that is redefining areas of conceptual emphasis as well as orientations toward teaching and learning (e.g., Labov et al. , 2010 ; American Association for the Advancement of Science, 2011 ; Nehm, 2019 ). As a result, building comprehensive, critical, purposeful, and concise literature reviews can be a challenge for new biology education researchers.

Building Literature Reviews

There are different ways to approach and construct a literature review. Booth et al. (2016a) provide an overview that includes, for example, scoping reviews, which are focused only on notable studies and use a basic method of analysis, and integrative reviews, which are the result of exhaustive literature searches across different genres. Underlying each of these different review processes are attention to the s earch process, a ppraisa l of articles, s ynthesis of the literature, and a nalysis: SALSA ( Booth et al. , 2016a ). This useful acronym can help the researcher focus on the process while building a specific type of review.

However, new educational researchers often have questions about literature reviews that are foundational to SALSA or other approaches. Common questions concern determining which literature pertains to the topic of study or the role of the literature review in the design of the study. This section addresses such questions broadly while providing general guidance for writing a narrative literature review that evaluates the most pertinent studies.

The literature review process should begin before the research is conducted. As Boote and Beile (2005 , p. 3) suggested, researchers should be “scholars before researchers.” They point out that having a good working knowledge of the proposed topic helps illuminate avenues of study. Some subject areas have a deep body of work to read and reflect upon, providing a strong foundation for developing the research question(s). For instance, the teaching and learning of evolution is an area of long-standing interest in the BER community, generating many studies (e.g., Perry et al. , 2008 ; Barnes and Brownell, 2016 ) and reviews of research (e.g., Sickel and Friedrichsen, 2013 ; Ziadie and Andrews, 2018 ). Emerging areas of BER include the affective domain, issues of transfer, and metacognition ( Singer et al. , 2012 ). Many studies in these areas are transdisciplinary and not always specific to biology education (e.g., Rodrigo-Peiris et al. , 2018 ; Kolpikova et al. , 2019 ). These newer areas may require reading outside BER; fortunately, summaries of some of these topics can be found in the Current Insights section of the LSE website.

In focusing on a specific problem within a broader research strand, a new researcher will likely need to examine research outside BER. Depending upon the area of study, the expanded reading list might involve a mix of BER, DBER, and educational research studies. Determining the scope of the reading is not always straightforward. A simple way to focus one’s reading is to create a “summary phrase” or “research nugget,” which is a very brief descriptive statement about the study. It should focus on the essence of the study, for example, “first-year nonmajor students’ understanding of evolution,” “metacognitive prompts to enhance learning during biochemistry,” or “instructors’ inquiry-based instructional practices after professional development programming.” This type of phrase should help a new researcher identify two or more areas to review that pertain to the study. Focusing on recent research in the last 5 years is a good first step. Additional studies can be identified by reading relevant works referenced in those articles. It is also important to read seminal studies that are more than 5 years old. Reading a range of studies should give the researcher the necessary command of the subject in order to suggest a research question.

Given that the research question(s) arise from the literature review, the review should also substantiate the selected methodological approach. The review and research question(s) guide the researcher in determining how to collect and analyze data. Often the methodological approach used in a study is selected to contribute knowledge that expands upon what has been published previously about the topic (see Institute of Education Sciences and National Science Foundation, 2013 ). An emerging topic of study may need an exploratory approach that allows for a description of the phenomenon and development of a potential theory. This could, but not necessarily, require a methodological approach that uses interviews, observations, surveys, or other instruments. An extensively studied topic may call for the additional understanding of specific factors or variables; this type of study would be well suited to a verification or a causal research design. These could entail a methodological approach that uses valid and reliable instruments, observations, or interviews to determine an effect in the studied event. In either of these examples, the researcher(s) may use a qualitative, quantitative, or mixed methods methodological approach.

Even with a good research question, there is still more reading to be done. The complexity and focus of the research question dictates the depth and breadth of the literature to be examined. Questions that connect multiple topics can require broad literature reviews. For instance, a study that explores the impact of a biology faculty learning community on the inquiry instruction of faculty could have the following review areas: learning communities among biology faculty, inquiry instruction among biology faculty, and inquiry instruction among biology faculty as a result of professional learning. Biology education researchers need to consider whether their literature review requires studies from different disciplines within or outside DBER. For the example given, it would be fruitful to look at research focused on learning communities with faculty in STEM fields or in general education fields that result in instructional change. It is important not to be too narrow or too broad when reading. When the conclusions of articles start to sound similar or no new insights are gained, the researcher likely has a good foundation for a literature review. This level of reading should allow the researcher to demonstrate a mastery in understanding the researched topic, explain the suitability of the proposed research approach, and point to the need for the refined research question(s).

The literature review should include the researcher’s evaluation and critique of the selected studies. A researcher may have a large collection of studies, but not all of the studies will follow standards important in the reporting of empirical work in the social sciences. The American Educational Research Association ( Duran et al. , 2006 ), for example, offers a general discussion about standards for such work: an adequate review of research informing the study, the existence of sound and appropriate data collection and analysis methods, and appropriate conclusions that do not overstep or underexplore the analyzed data. The Institute of Education Sciences and National Science Foundation (2013) also offer Common Guidelines for Education Research and Development that can be used to evaluate collected studies.

Because not all journals adhere to such standards, it is important that a researcher review each study to determine the quality of published research, per the guidelines suggested earlier. In some instances, the research may be fatally flawed. Examples of such flaws include data that do not pertain to the question, a lack of discussion about the data collection, poorly constructed instruments, or an inadequate analysis. These types of errors result in studies that are incomplete, error-laden, or inaccurate and should be excluded from the review. Most studies have limitations, and the author(s) often make them explicit. For instance, there may be an instructor effect, recognized bias in the analysis, or issues with the sample population. Limitations are usually addressed by the research team in some way to ensure a sound and acceptable research process. Occasionally, the limitations associated with the study can be significant and not addressed adequately, which leaves a consequential decision in the hands of the researcher. Providing critiques of studies in the literature review process gives the reader confidence that the researcher has carefully examined relevant work in preparation for the study and, ultimately, the manuscript.

A solid literature review clearly anchors the proposed study in the field and connects the research question(s), the methodological approach, and the discussion. Reviewing extant research leads to research questions that will contribute to what is known in the field. By summarizing what is known, the literature review points to what needs to be known, which in turn guides decisions about methodology. Finally, notable findings of the new study are discussed in reference to those described in the literature review.

Within published BER studies, literature reviews can be placed in different locations in an article. When included in the introductory section of the study, the first few paragraphs of the manuscript set the stage, with the literature review following the opening paragraphs. Cooper et al. (2019) illustrate this approach in their study of course-based undergraduate research experiences (CUREs). An introduction discussing the potential of CURES is followed by an analysis of the existing literature relevant to the design of CUREs that allows for novel student discoveries. Within this review, the authors point out contradictory findings among research on novel student discoveries. This clarifies the need for their study, which is described and highlighted through specific research aims.

A literature reviews can also make up a separate section in a paper. For example, the introduction to Todd et al. (2019) illustrates the need for their research topic by highlighting the potential of learning progressions (LPs) and suggesting that LPs may help mitigate learning loss in genetics. At the end of the introduction, the authors state their specific research questions. The review of literature following this opening section comprises two subsections. One focuses on learning loss in general and examines a variety of studies and meta-analyses from the disciplines of medical education, mathematics, and reading. The second section focuses specifically on LPs in genetics and highlights student learning in the midst of LPs. These separate reviews provide insights into the stated research question.

Suggestions and Advice

A well-conceptualized, comprehensive, and critical literature review reveals the understanding of the topic that the researcher brings to the study. Literature reviews should not be so big that there is no clear area of focus; nor should they be so narrow that no real research question arises. The task for a researcher is to craft an efficient literature review that offers a critical analysis of published work, articulates the need for the study, guides the methodological approach to the topic of study, and provides an adequate foundation for the discussion of the findings.

In our own writing of literature reviews, there are often many drafts. An early draft may seem well suited to the study because the need for and approach to the study are well described. However, as the results of the study are analyzed and findings begin to emerge, the existing literature review may be inadequate and need revision. The need for an expanded discussion about the research area can result in the inclusion of new studies that support the explanation of a potential finding. The literature review may also prove to be too broad. Refocusing on a specific area allows for more contemplation of a finding.

It should be noted that there are different types of literature reviews, and many books and articles have been written about the different ways to embark on these types of reviews. Among these different resources, the following may be helpful in considering how to refine the review process for scholarly journals:

• Booth, A., Sutton, A., & Papaioannou, D. (2016a). Systemic approaches to a successful literature review (2nd ed.). Los Angeles, CA: Sage. This book addresses different types of literature reviews and offers important suggestions pertaining to defining the scope of the literature review and assessing extant studies.
• Booth, W. C., Colomb, G. G., Williams, J. M., Bizup, J., & Fitzgerald, W. T. (2016b). The craft of research (4th ed.). Chicago: University of Chicago Press. This book can help the novice consider how to make the case for an area of study. While this book is not specifically about literature reviews, it offers suggestions about making the case for your study.
• Galvan, J. L., & Galvan, M. C. (2017). Writing literature reviews: A guide for students of the social and behavioral sciences (7th ed.). Routledge. This book offers guidance on writing different types of literature reviews. For the novice researcher, there are useful suggestions for creating coherent literature reviews.

THEORETICAL FRAMEWORKS

Purpose of theoretical frameworks.

As new education researchers may be less familiar with theoretical frameworks than with literature reviews, this discussion begins with an analogy. Envision a biologist, chemist, and physicist examining together the dramatic effect of a fog tsunami over the ocean. A biologist gazing at this phenomenon may be concerned with the effect of fog on various species. A chemist may be interested in the chemical composition of the fog as water vapor condenses around bits of salt. A physicist may be focused on the refraction of light to make fog appear to be “sitting” above the ocean. While observing the same “objective event,” the scientists are operating under different theoretical frameworks that provide a particular perspective or “lens” for the interpretation of the phenomenon. Each of these scientists brings specialized knowledge, experiences, and values to this phenomenon, and these influence the interpretation of the phenomenon. The scientists’ theoretical frameworks influence how they design and carry out their studies and interpret their data.

Within an educational study, a theoretical framework helps to explain a phenomenon through a particular lens and challenges and extends existing knowledge within the limitations of that lens. Theoretical frameworks are explicitly stated by an educational researcher in the paper’s framework, theory, or relevant literature section. The framework shapes the types of questions asked, guides the method by which data are collected and analyzed, and informs the discussion of the results of the study. It also reveals the researcher’s subjectivities, for example, values, social experience, and viewpoint ( Allen, 2017 ). It is essential that a novice researcher learn to explicitly state a theoretical framework, because all research questions are being asked from the researcher’s implicit or explicit assumptions of a phenomenon of interest ( Schwandt, 2000 ).

Selecting Theoretical Frameworks

Theoretical frameworks are one of the most contemplated elements in our work in educational research. In this section, we share three important considerations for new scholars selecting a theoretical framework.

The first step in identifying a theoretical framework involves reflecting on the phenomenon within the study and the assumptions aligned with the phenomenon. The phenomenon involves the studied event. There are many possibilities, for example, student learning, instructional approach, or group organization. A researcher holds assumptions about how the phenomenon will be effected, influenced, changed, or portrayed. It is ultimately the researcher’s assumption(s) about the phenomenon that aligns with a theoretical framework. An example can help illustrate how a researcher’s reflection on the phenomenon and acknowledgment of assumptions can result in the identification of a theoretical framework.

In our example, a biology education researcher may be interested in exploring how students’ learning of difficult biological concepts can be supported by the interactions of group members. The phenomenon of interest is the interactions among the peers, and the researcher assumes that more knowledgeable students are important in supporting the learning of the group. As a result, the researcher may draw on Vygotsky’s (1978) sociocultural theory of learning and development that is focused on the phenomenon of student learning in a social setting. This theory posits the critical nature of interactions among students and between students and teachers in the process of building knowledge. A researcher drawing upon this framework holds the assumption that learning is a dynamic social process involving questions and explanations among students in the classroom and that more knowledgeable peers play an important part in the process of building conceptual knowledge.

It is important to state at this point that there are many different theoretical frameworks. Some frameworks focus on learning and knowing, while other theoretical frameworks focus on equity, empowerment, or discourse. Some frameworks are well articulated, and others are still being refined. For a new researcher, it can be challenging to find a theoretical framework. Two of the best ways to look for theoretical frameworks is through published works that highlight different frameworks.

When a theoretical framework is selected, it should clearly connect to all parts of the study. The framework should augment the study by adding a perspective that provides greater insights into the phenomenon. It should clearly align with the studies described in the literature review. For instance, a framework focused on learning would correspond to research that reported different learning outcomes for similar studies. The methods for data collection and analysis should also correspond to the framework. For instance, a study about instructional interventions could use a theoretical framework concerned with learning and could collect data about the effect of the intervention on what is learned. When the data are analyzed, the theoretical framework should provide added meaning to the findings, and the findings should align with the theoretical framework.

A study by Jensen and Lawson (2011) provides an example of how a theoretical framework connects different parts of the study. They compared undergraduate biology students in heterogeneous and homogeneous groups over the course of a semester. Jensen and Lawson (2011) assumed that learning involved collaboration and more knowledgeable peers, which made Vygotsky’s (1978) theory a good fit for their study. They predicted that students in heterogeneous groups would experience greater improvement in their reasoning abilities and science achievements with much of the learning guided by the more knowledgeable peers.

In the enactment of the study, they collected data about the instruction in traditional and inquiry-oriented classes, while the students worked in homogeneous or heterogeneous groups. To determine the effect of working in groups, the authors also measured students’ reasoning abilities and achievement. Each data-collection and analysis decision connected to understanding the influence of collaborative work.

Their findings highlighted aspects of Vygotsky’s (1978) theory of learning. One finding, for instance, posited that inquiry instruction, as a whole, resulted in reasoning and achievement gains. This links to Vygotsky (1978) , because inquiry instruction involves interactions among group members. A more nuanced finding was that group composition had a conditional effect. Heterogeneous groups performed better with more traditional and didactic instruction, regardless of the reasoning ability of the group members. Homogeneous groups worked better during interaction-rich activities for students with low reasoning ability. The authors attributed the variation to the different types of helping behaviors of students. High-performing students provided the answers, while students with low reasoning ability had to work collectively through the material. In terms of Vygotsky (1978) , this finding provided new insights into the learning context in which productive interactions can occur for students.

Another consideration in the selection and use of a theoretical framework pertains to its orientation to the study. This can result in the theoretical framework prioritizing individuals, institutions, and/or policies ( Anfara and Mertz, 2014 ). Frameworks that connect to individuals, for instance, could contribute to understanding their actions, learning, or knowledge. Institutional frameworks, on the other hand, offer insights into how institutions, organizations, or groups can influence individuals or materials. Policy theories provide ways to understand how national or local policies can dictate an emphasis on outcomes or instructional design. These different types of frameworks highlight different aspects in an educational setting, which influences the design of the study and the collection of data. In addition, these different frameworks offer a way to make sense of the data. Aligning the data collection and analysis with the framework ensures that a study is coherent and can contribute to the field.

New understandings emerge when different theoretical frameworks are used. For instance, Ebert-May et al. (2015) prioritized the individual level within conceptual change theory (see Posner et al. , 1982 ). In this theory, an individual’s knowledge changes when it no longer fits the phenomenon. Ebert-May et al. (2015) designed a professional development program challenging biology postdoctoral scholars’ existing conceptions of teaching. The authors reported that the biology postdoctoral scholars’ teaching practices became more student-centered as they were challenged to explain their instructional decision making. According to the theory, the biology postdoctoral scholars’ dissatisfaction in their descriptions of teaching and learning initiated change in their knowledge and instruction. These results reveal how conceptual change theory can explain the learning of participants and guide the design of professional development programming.

The communities of practice (CoP) theoretical framework ( Lave, 1988 ; Wenger, 1998 ) prioritizes the institutional level , suggesting that learning occurs when individuals learn from and contribute to the communities in which they reside. Grounded in the assumption of community learning, the literature on CoP suggests that, as individuals interact regularly with the other members of their group, they learn about the rules, roles, and goals of the community ( Allee, 2000 ). A study conducted by Gehrke and Kezar (2017) used the CoP framework to understand organizational change by examining the involvement of individual faculty engaged in a cross-institutional CoP focused on changing the instructional practice of faculty at each institution. In the CoP, faculty members were involved in enhancing instructional materials within their department, which aligned with an overarching goal of instituting instruction that embraced active learning. Not surprisingly, Gehrke and Kezar (2017) revealed that faculty who perceived the community culture as important in their work cultivated institutional change. Furthermore, they found that institutional change was sustained when key leaders served as mentors and provided support for faculty, and as faculty themselves developed into leaders. This study reveals the complexity of individual roles in a COP in order to support institutional instructional change.

It is important to explicitly state the theoretical framework used in a study, but elucidating a theoretical framework can be challenging for a new educational researcher. The literature review can help to identify an applicable theoretical framework. Focal areas of the review or central terms often connect to assumptions and assertions associated with the framework that pertain to the phenomenon of interest. Another way to identify a theoretical framework is self-reflection by the researcher on personal beliefs and understandings about the nature of knowledge the researcher brings to the study ( Lysaght, 2011 ). In stating one’s beliefs and understandings related to the study (e.g., students construct their knowledge, instructional materials support learning), an orientation becomes evident that will suggest a particular theoretical framework. Theoretical frameworks are not arbitrary , but purposefully selected.

With experience, a researcher may find expanded roles for theoretical frameworks. Researchers may revise an existing framework that has limited explanatory power, or they may decide there is a need to develop a new theoretical framework. These frameworks can emerge from a current study or the need to explain a phenomenon in a new way. Researchers may also find that multiple theoretical frameworks are necessary to frame and explore a problem, as different frameworks can provide different insights into a problem.

Finally, it is important to recognize that choosing “x” theoretical framework does not necessarily mean a researcher chooses “y” methodology and so on, nor is there a clear-cut, linear process in selecting a theoretical framework for one’s study. In part, the nonlinear process of identifying a theoretical framework is what makes understanding and using theoretical frameworks challenging. For the novice scholar, contemplating and understanding theoretical frameworks is essential. Fortunately, there are articles and books that can help:

• Creswell, J. W. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Los Angeles, CA: Sage. This book provides an overview of theoretical frameworks in general educational research.
• Ding, L. (2019). Theoretical perspectives of quantitative physics education research. Physical Review Physics Education Research , 15 (2), 020101-1–020101-13. This paper illustrates how a DBER field can use theoretical frameworks.
• Nehm, R. (2019). Biology education research: Building integrative frameworks for teaching and learning about living systems. Disciplinary and Interdisciplinary Science Education Research , 1 , ar15. https://doi.org/10.1186/s43031-019-0017-6 . This paper articulates the need for studies in BER to explicitly state theoretical frameworks and provides examples of potential studies.
• Patton, M. Q. (2015). Qualitative research & evaluation methods: Integrating theory and practice . Sage. This book also provides an overview of theoretical frameworks, but for both research and evaluation.

CONCEPTUAL FRAMEWORKS

Purpose of a conceptual framework.

A conceptual framework is a description of the way a researcher understands the factors and/or variables that are involved in the study and their relationships to one another. The purpose of a conceptual framework is to articulate the concepts under study using relevant literature ( Rocco and Plakhotnik, 2009 ) and to clarify the presumed relationships among those concepts ( Rocco and Plakhotnik, 2009 ; Anfara and Mertz, 2014 ). Conceptual frameworks are different from theoretical frameworks in both their breadth and grounding in established findings. Whereas a theoretical framework articulates the lens through which a researcher views the work, the conceptual framework is often more mechanistic and malleable.

Conceptual frameworks are broader, encompassing both established theories (i.e., theoretical frameworks) and the researchers’ own emergent ideas. Emergent ideas, for example, may be rooted in informal and/or unpublished observations from experience. These emergent ideas would not be considered a “theory” if they are not yet tested, supported by systematically collected evidence, and peer reviewed. However, they do still play an important role in the way researchers approach their studies. The conceptual framework allows authors to clearly describe their emergent ideas so that connections among ideas in the study and the significance of the study are apparent to readers.

Constructing Conceptual Frameworks

Including a conceptual framework in a research study is important, but researchers often opt to include either a conceptual or a theoretical framework. Either may be adequate, but both provide greater insight into the research approach. For instance, a research team plans to test a novel component of an existing theory. In their study, they describe the existing theoretical framework that informs their work and then present their own conceptual framework. Within this conceptual framework, specific topics portray emergent ideas that are related to the theory. Describing both frameworks allows readers to better understand the researchers’ assumptions, orientations, and understanding of concepts being investigated. For example, Connolly et al. (2018) included a conceptual framework that described how they applied a theoretical framework of social cognitive career theory (SCCT) to their study on teaching programs for doctoral students. In their conceptual framework, the authors described SCCT, explained how it applied to the investigation, and drew upon results from previous studies to justify the proposed connections between the theory and their emergent ideas.

In some cases, authors may be able to sufficiently describe their conceptualization of the phenomenon under study in an introduction alone, without a separate conceptual framework section. However, incomplete descriptions of how the researchers conceptualize the components of the study may limit the significance of the study by making the research less intelligible to readers. This is especially problematic when studying topics in which researchers use the same terms for different constructs or different terms for similar and overlapping constructs (e.g., inquiry, teacher beliefs, pedagogical content knowledge, or active learning). Authors must describe their conceptualization of a construct if the research is to be understandable and useful.

There are some key areas to consider regarding the inclusion of a conceptual framework in a study. To begin with, it is important to recognize that conceptual frameworks are constructed by the researchers conducting the study ( Rocco and Plakhotnik, 2009 ; Maxwell, 2012 ). This is different from theoretical frameworks that are often taken from established literature. Researchers should bring together ideas from the literature, but they may be influenced by their own experiences as a student and/or instructor, the shared experiences of others, or thought experiments as they construct a description, model, or representation of their understanding of the phenomenon under study. This is an exercise in intellectual organization and clarity that often considers what is learned, known, and experienced. The conceptual framework makes these constructs explicitly visible to readers, who may have different understandings of the phenomenon based on their prior knowledge and experience. There is no single method to go about this intellectual work.

Reeves et al. (2016) is an example of an article that proposed a conceptual framework about graduate teaching assistant professional development evaluation and research. The authors used existing literature to create a novel framework that filled a gap in current research and practice related to the training of graduate teaching assistants. This conceptual framework can guide the systematic collection of data by other researchers because the framework describes the relationships among various factors that influence teaching and learning. The Reeves et al. (2016) conceptual framework may be modified as additional data are collected and analyzed by other researchers. This is not uncommon, as conceptual frameworks can serve as catalysts for concerted research efforts that systematically explore a phenomenon (e.g., Reynolds et al. , 2012 ; Brownell and Kloser, 2015 ).

Sabel et al. (2017) used a conceptual framework in their exploration of how scaffolds, an external factor, interact with internal factors to support student learning. Their conceptual framework integrated principles from two theoretical frameworks, self-regulated learning and metacognition, to illustrate how the research team conceptualized students’ use of scaffolds in their learning ( Figure 1 ). Sabel et al. (2017) created this model using their interpretations of these two frameworks in the context of their teaching.

Conceptual framework from Sabel et al. (2017) .

A conceptual framework should describe the relationship among components of the investigation ( Anfara and Mertz, 2014 ). These relationships should guide the researcher’s methods of approaching the study ( Miles et al. , 2014 ) and inform both the data to be collected and how those data should be analyzed. Explicitly describing the connections among the ideas allows the researcher to justify the importance of the study and the rigor of the research design. Just as importantly, these frameworks help readers understand why certain components of a system were not explored in the study. This is a challenge in education research, which is rooted in complex environments with many variables that are difficult to control.

For example, Sabel et al. (2017) stated: “Scaffolds, such as enhanced answer keys and reflection questions, can help students and instructors bridge the external and internal factors and support learning” (p. 3). They connected the scaffolds in the study to the three dimensions of metacognition and the eventual transformation of existing ideas into new or revised ideas. Their framework provides a rationale for focusing on how students use two different scaffolds, and not on other factors that may influence a student’s success (self-efficacy, use of active learning, exam format, etc.).

In constructing conceptual frameworks, researchers should address needed areas of study and/or contradictions discovered in literature reviews. By attending to these areas, researchers can strengthen their arguments for the importance of a study. For instance, conceptual frameworks can address how the current study will fill gaps in the research, resolve contradictions in existing literature, or suggest a new area of study. While a literature review describes what is known and not known about the phenomenon, the conceptual framework leverages these gaps in describing the current study ( Maxwell, 2012 ). In the example of Sabel et al. (2017) , the authors indicated there was a gap in the literature regarding how scaffolds engage students in metacognition to promote learning in large classes. Their study helps fill that gap by describing how scaffolds can support students in the three dimensions of metacognition: intelligibility, plausibility, and wide applicability. In another example, Lane (2016) integrated research from science identity, the ethic of care, the sense of belonging, and an expertise model of student success to form a conceptual framework that addressed the critiques of other frameworks. In a more recent example, Sbeglia et al. (2021) illustrated how a conceptual framework influences the methodological choices and inferences in studies by educational researchers.

Sometimes researchers draw upon the conceptual frameworks of other researchers. When a researcher’s conceptual framework closely aligns with an existing framework, the discussion may be brief. For example, Ghee et al. (2016) referred to portions of SCCT as their conceptual framework to explain the significance of their work on students’ self-efficacy and career interests. Because the authors’ conceptualization of this phenomenon aligned with a previously described framework, they briefly mentioned the conceptual framework and provided additional citations that provided more detail for the readers.

Within both the BER and the broader DBER communities, conceptual frameworks have been used to describe different constructs. For example, some researchers have used the term “conceptual framework” to describe students’ conceptual understandings of a biological phenomenon. This is distinct from a researcher’s conceptual framework of the educational phenomenon under investigation, which may also need to be explicitly described in the article. Other studies have presented a research logic model or flowchart of the research design as a conceptual framework. These constructions can be quite valuable in helping readers understand the data-collection and analysis process. However, a model depicting the study design does not serve the same role as a conceptual framework. Researchers need to avoid conflating these constructs by differentiating the researchers’ conceptual framework that guides the study from the research design, when applicable.

Explicitly describing conceptual frameworks is essential in depicting the focus of the study. We have found that being explicit in a conceptual framework means using accepted terminology, referencing prior work, and clearly noting connections between terms. This description can also highlight gaps in the literature or suggest potential contributions to the field of study. A well-elucidated conceptual framework can suggest additional studies that may be warranted. This can also spur other researchers to consider how they would approach the examination of a phenomenon and could result in a revised conceptual framework.

It can be challenging to create conceptual frameworks, but they are important. Below are two resources that could be helpful in constructing and presenting conceptual frameworks in educational research:

• Maxwell, J. A. (2012). Qualitative research design: An interactive approach (3rd ed.). Los Angeles, CA: Sage. Chapter 3 in this book describes how to construct conceptual frameworks.
• Ravitch, S. M., & Riggan, M. (2016). Reason & rigor: How conceptual frameworks guide research . Los Angeles, CA: Sage. This book explains how conceptual frameworks guide the research questions, data collection, data analyses, and interpretation of results.

CONCLUDING THOUGHTS

Literature reviews, theoretical frameworks, and conceptual frameworks are all important in DBER and BER. Robust literature reviews reinforce the importance of a study. Theoretical frameworks connect the study to the base of knowledge in educational theory and specify the researcher’s assumptions. Conceptual frameworks allow researchers to explicitly describe their conceptualization of the relationships among the components of the phenomenon under study. Table 1 provides a general overview of these components in order to assist biology education researchers in thinking about these elements.

It is important to emphasize that these different elements are intertwined. When these elements are aligned and complement one another, the study is coherent, and the study findings contribute to knowledge in the field. When literature reviews, theoretical frameworks, and conceptual frameworks are disconnected from one another, the study suffers. The point of the study is lost, suggested findings are unsupported, or important conclusions are invisible to the researcher. In addition, this misalignment may be costly in terms of time and money.

Conducting a literature review, selecting a theoretical framework, and building a conceptual framework are some of the most difficult elements of a research study. It takes time to understand the relevant research, identify a theoretical framework that provides important insights into the study, and formulate a conceptual framework that organizes the finding. In the research process, there is often a constant back and forth among these elements as the study evolves. With an ongoing refinement of the review of literature, clarification of the theoretical framework, and articulation of a conceptual framework, a sound study can emerge that makes a contribution to the field. This is the goal of BER and education research.

Supplementary Material

• Allee, V. (2000). Knowledge networks and communities of learning . OD Practitioner , 32 ( 4 ), 4–13. [ Google Scholar ]
• Allen, M. (2017). The Sage encyclopedia of communication research methods (Vols. 1–4 ). Los Angeles, CA: Sage. 10.4135/9781483381411 [ CrossRef ] [ Google Scholar ]
• American Association for the Advancement of Science. (2011). Vision and change in undergraduate biology education: A call to action . Washington, DC. [ Google Scholar ]
• Anfara, V. A., Mertz, N. T. (2014). Setting the stage . In Anfara, V. A., Mertz, N. T. (eds.), Theoretical frameworks in qualitative research (pp. 1–22). Sage. [ Google Scholar ]
• Barnes, M. E., Brownell, S. E. (2016). Practices and perspectives of college instructors on addressing religious beliefs when teaching evolution . CBE—Life Sciences Education , 15 ( 2 ), ar18. https://doi.org/10.1187/cbe.15-11-0243 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Boote, D. N., Beile, P. (2005). Scholars before researchers: On the centrality of the dissertation literature review in research preparation . Educational Researcher , 34 ( 6 ), 3–15. 10.3102/0013189x034006003 [ CrossRef ] [ Google Scholar ]
• Booth, A., Sutton, A., Papaioannou, D. (2016a). Systemic approaches to a successful literature review (2nd ed.). Los Angeles, CA: Sage. [ Google Scholar ]
• Booth, W. C., Colomb, G. G., Williams, J. M., Bizup, J., Fitzgerald, W. T. (2016b). The craft of research (4th ed.). Chicago, IL: University of Chicago Press. [ Google Scholar ]
• Brownell, S. E., Kloser, M. J. (2015). Toward a conceptual framework for measuring the effectiveness of course-based undergraduate research experiences in undergraduate biology . Studies in Higher Education , 40 ( 3 ), 525–544. https://doi.org/10.1080/03075079.2015.1004234 [ Google Scholar ]
• Connolly, M. R., Lee, Y. G., Savoy, J. N. (2018). The effects of doctoral teaching development on early-career STEM scholars’ college teaching self-efficacy . CBE—Life Sciences Education , 17 ( 1 ), ar14. https://doi.org/10.1187/cbe.17-02-0039 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Cooper, K. M., Blattman, J. N., Hendrix, T., Brownell, S. E. (2019). The impact of broadly relevant novel discoveries on student project ownership in a traditional lab course turned CURE . CBE—Life Sciences Education , 18 ( 4 ), ar57. https://doi.org/10.1187/cbe.19-06-0113 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Creswell, J. W. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Los Angeles, CA: Sage. [ Google Scholar ]
• DeHaan, R. L. (2011). Education research in the biological sciences: A nine decade review (Paper commissioned by the NAS/NRC Committee on the Status, Contributions, and Future Directions of Discipline Based Education Research) . Washington, DC: National Academies Press. Retrieved May 20, 2022, from www7.nationalacademies.org/bose/DBER_Mee ting2_commissioned_papers_page.html [ Google Scholar ]
• Ding, L. (2019). Theoretical perspectives of quantitative physics education research . Physical Review Physics Education Research , 15 ( 2 ), 020101. [ Google Scholar ]
• Dirks, C. (2011). The current status and future direction of biology education research . Paper presented at: Second Committee Meeting on the Status, Contributions, and Future Directions of Discipline-Based Education Research, 18–19 October (Washington, DC). Retrieved May 20, 2022, from http://sites.nationalacademies.org/DBASSE/BOSE/DBASSE_071087 [ Google Scholar ]
• Duran, R. P., Eisenhart, M. A., Erickson, F. D., Grant, C. A., Green, J. L., Hedges, L. V., Schneider, B. L. (2006). Standards for reporting on empirical social science research in AERA publications: American Educational Research Association . Educational Researcher , 35 ( 6 ), 33–40. [ Google Scholar ]
• Ebert-May, D., Derting, T. L., Henkel, T. P., Middlemis Maher, J., Momsen, J. L., Arnold, B., Passmore, H. A. (2015). Breaking the cycle: Future faculty begin teaching with learner-centered strategies after professional development . CBE—Life Sciences Education , 14 ( 2 ), ar22. https://doi.org/10.1187/cbe.14-12-0222 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Galvan, J. L., Galvan, M. C. (2017). Writing literature reviews: A guide for students of the social and behavioral sciences (7th ed.). New York, NY: Routledge. https://doi.org/10.4324/9781315229386 [ Google Scholar ]
• Gehrke, S., Kezar, A. (2017). The roles of STEM faculty communities of practice in institutional and departmental reform in higher education . American Educational Research Journal , 54 ( 5 ), 803–833. https://doi.org/10.3102/0002831217706736 [ Google Scholar ]
• Ghee, M., Keels, M., Collins, D., Neal-Spence, C., Baker, E. (2016). Fine-tuning summer research programs to promote underrepresented students’ persistence in the STEM pathway . CBE—Life Sciences Education , 15 ( 3 ), ar28. https://doi.org/10.1187/cbe.16-01-0046 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Institute of Education Sciences & National Science Foundation. (2013). Common guidelines for education research and development . Retrieved May 20, 2022, from www.nsf.gov/pubs/2013/nsf13126/nsf13126.pdf
• Jensen, J. L., Lawson, A. (2011). Effects of collaborative group composition and inquiry instruction on reasoning gains and achievement in undergraduate biology . CBE—Life Sciences Education , 10 ( 1 ), 64–73. https://doi.org/10.1187/cbe.19-05-0098 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Kolpikova, E. P., Chen, D. C., Doherty, J. H. (2019). Does the format of preclass reading quizzes matter? An evaluation of traditional and gamified, adaptive preclass reading quizzes . CBE—Life Sciences Education , 18 ( 4 ), ar52. https://doi.org/10.1187/cbe.19-05-0098 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Labov, J. B., Reid, A. H., Yamamoto, K. R. (2010). Integrated biology and undergraduate science education: A new biology education for the twenty-first century? CBE—Life Sciences Education , 9 ( 1 ), 10–16. https://doi.org/10.1187/cbe.09-12-0092 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Lane, T. B. (2016). Beyond academic and social integration: Understanding the impact of a STEM enrichment program on the retention and degree attainment of underrepresented students . CBE—Life Sciences Education , 15 ( 3 ), ar39. https://doi.org/10.1187/cbe.16-01-0070 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Lave, J. (1988). Cognition in practice: Mind, mathematics and culture in everyday life . New York, NY: Cambridge University Press. [ Google Scholar ]
• Lo, S. M., Gardner, G. E., Reid, J., Napoleon-Fanis, V., Carroll, P., Smith, E., Sato, B. K. (2019). Prevailing questions and methodologies in biology education research: A longitudinal analysis of research in CBE — Life Sciences Education and at the Society for the Advancement of Biology Education Research . CBE—Life Sciences Education , 18 ( 1 ), ar9. https://doi.org/10.1187/cbe.18-08-0164 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Lysaght, Z. (2011). Epistemological and paradigmatic ecumenism in “Pasteur’s quadrant:” Tales from doctoral research . In Official Conference Proceedings of the Third Asian Conference on Education in Osaka, Japan . Retrieved May 20, 2022, from http://iafor.org/ace2011_offprint/ACE2011_offprint_0254.pdf
• Maxwell, J. A. (2012). Qualitative research design: An interactive approach (3rd ed.). Los Angeles, CA: Sage. [ Google Scholar ]
• Miles, M. B., Huberman, A. M., Saldaña, J. (2014). Qualitative data analysis (3rd ed.). Los Angeles, CA: Sage. [ Google Scholar ]
• Nehm, R. (2019). Biology education research: Building integrative frameworks for teaching and learning about living systems . Disciplinary and Interdisciplinary Science Education Research , 1 , ar15. https://doi.org/10.1186/s43031-019-0017-6 [ Google Scholar ]
• Patton, M. Q. (2015). Qualitative research & evaluation methods: Integrating theory and practice . Los Angeles, CA: Sage. [ Google Scholar ]
• Perry, J., Meir, E., Herron, J. C., Maruca, S., Stal, D. (2008). Evaluating two approaches to helping college students understand evolutionary trees through diagramming tasks . CBE—Life Sciences Education , 7 ( 2 ), 193–201. https://doi.org/10.1187/cbe.07-01-0007 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Posner, G. J., Strike, K. A., Hewson, P. W., Gertzog, W. A. (1982). Accommodation of a scientific conception: Toward a theory of conceptual change . Science Education , 66 ( 2 ), 211–227. [ Google Scholar ]
• Ravitch, S. M., Riggan, M. (2016). Reason & rigor: How conceptual frameworks guide research . Los Angeles, CA: Sage. [ Google Scholar ]
• Reeves, T. D., Marbach-Ad, G., Miller, K. R., Ridgway, J., Gardner, G. E., Schussler, E. E., Wischusen, E. W. (2016). A conceptual framework for graduate teaching assistant professional development evaluation and research . CBE—Life Sciences Education , 15 ( 2 ), es2. https://doi.org/10.1187/cbe.15-10-0225 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Reynolds, J. A., Thaiss, C., Katkin, W., Thompson, R. J. Jr. (2012). Writing-to-learn in undergraduate science education: A community-based, conceptually driven approach . CBE—Life Sciences Education , 11 ( 1 ), 17–25. https://doi.org/10.1187/cbe.11-08-0064 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Rocco, T. S., Plakhotnik, M. S. (2009). Literature reviews, conceptual frameworks, and theoretical frameworks: Terms, functions, and distinctions . Human Resource Development Review , 8 ( 1 ), 120–130. https://doi.org/10.1177/1534484309332617 [ Google Scholar ]
• Rodrigo-Peiris, T., Xiang, L., Cassone, V. M. (2018). A low-intensity, hybrid design between a “traditional” and a “course-based” research experience yields positive outcomes for science undergraduate freshmen and shows potential for large-scale application . CBE—Life Sciences Education , 17 ( 4 ), ar53. https://doi.org/10.1187/cbe.17-11-0248 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Sabel, J. L., Dauer, J. T., Forbes, C. T. (2017). Introductory biology students’ use of enhanced answer keys and reflection questions to engage in metacognition and enhance understanding . CBE—Life Sciences Education , 16 ( 3 ), ar40. https://doi.org/10.1187/cbe.16-10-0298 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Sbeglia, G. C., Goodridge, J. A., Gordon, L. H., Nehm, R. H. (2021). Are faculty changing? How reform frameworks, sampling intensities, and instrument measures impact inferences about student-centered teaching practices . CBE—Life Sciences Education , 20 ( 3 ), ar39. https://doi.org/10.1187/cbe.20-11-0259 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Schwandt, T. A. (2000). Three epistemological stances for qualitative inquiry: Interpretivism, hermeneutics, and social constructionism . In Denzin, N. K., Lincoln, Y. S. (Eds.), Handbook of qualitative research (2nd ed., pp. 189–213). Los Angeles, CA: Sage. [ Google Scholar ]
• Sickel, A. J., Friedrichsen, P. (2013). Examining the evolution education literature with a focus on teachers: Major findings, goals for teacher preparation, and directions for future research . Evolution: Education and Outreach , 6 ( 1 ), 23. https://doi.org/10.1186/1936-6434-6-23 [ Google Scholar ]
• Singer, S. R., Nielsen, N. R., Schweingruber, H. A. (2012). Discipline-based education research: Understanding and improving learning in undergraduate science and engineering . Washington, DC: National Academies Press. [ Google Scholar ]
• Todd, A., Romine, W. L., Correa-Menendez, J. (2019). Modeling the transition from a phenotypic to genotypic conceptualization of genetics in a university-level introductory biology context . Research in Science Education , 49 ( 2 ), 569–589. https://doi.org/10.1007/s11165-017-9626-2 [ Google Scholar ]
• Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes . Cambridge, MA: Harvard University Press. [ Google Scholar ]
• Wenger, E. (1998). Communities of practice: Learning as a social system . Systems Thinker , 9 ( 5 ), 2–3. [ Google Scholar ]
• Ziadie, M. A., Andrews, T. C. (2018). Moving evolution education forward: A systematic analysis of literature to identify gaps in collective knowledge for teaching . CBE—Life Sciences Education , 17 ( 1 ), ar11. https://doi.org/10.1187/cbe.17-08-0190 [ PMC free article ] [ PubMed ] [ Google Scholar ]

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How to Make a Conceptual Framework

• 6-minute read
• 2nd January 2022

What is a conceptual framework? And why is it important?

A conceptual framework illustrates the relationship between the variables of a research question. It’s an outline of what you’d expect to find in a research project.

Conceptual frameworks should be constructed before data collection and are vital because they map out the actions needed in the study. This should be the first step of an undergraduate or graduate research project.

What Is In a Conceptual Framework?

In a conceptual framework, you’ll find a visual representation of the key concepts and relationships that are central to a research study or project . This can be in form of a diagram, flow chart, or any other visual representation. Overall, a conceptual framework serves as a guide for understanding the problem being studied and the methods being used to investigate it.

Steps to Developing the Perfect Conceptual Framework

• Pick a question
• Conduct a literature review
• Identify your variables
• Create your conceptual framework

1. Pick a Question

You should already have some idea of the broad area of your research project. Try to narrow down your research field to a manageable topic in terms of time and resources. From there, you need to formulate your research question. A research question answers the researcher’s query: “What do I want to know about my topic?” Research questions should be focused, concise, arguable and, ideally, should address a topic of importance within your field of research.

An example of a simple research question is: “What is the relationship between sunny days and ice cream sales?”

2. Conduct a Literature Review

A literature review is an analysis of the scholarly publications on a chosen topic. To undertake a literature review, search for articles with the same theme as your research question. Choose updated and relevant articles to analyze and use peer-reviewed and well-respected journals whenever possible.

For the above example, the literature review would investigate publications that discuss how ice cream sales are affected by the weather. The literature review should reveal the variables involved and any current hypotheses about this relationship.

3. Identify Your Variables

There are two key variables in every experiment: independent and dependent variables.

Independent Variables

The independent variable (otherwise known as the predictor or explanatory variable) is the expected cause of the experiment: what the scientist changes or changes on its own. In our example, the independent variable would be “the number of sunny days.”

Dependent Variables

The dependent variable (otherwise known as the response or outcome variable) is the expected effect of the experiment: what is being studied or measured. In our example, the dependent variable would be “the quantity of ice cream sold.”

Next, there are control variables.

Control Variables

A control variable is a variable that may impact the dependent variable but whose effects are not going to be measured in the research project. In our example, a control variable could be “the socioeconomic status of participants.” Control variables should be kept constant to isolate the effects of the other variables in the experiment.

Finally, there are intervening and extraneous variables.

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Intervening Variables

Intervening variables link the independent and dependent variables and clarify their connection. In our example, an intervening variable could be “temperature.”

Extraneous Variables

Extraneous variables are any variables that are not being investigated but could impact the outcomes of the study. Some instances of extraneous variables for our example would be “the average price of ice cream” or “the number of varieties of ice cream available.” If you control an extraneous variable, it becomes a control variable.

4. Create Your Conceptual Framework

Having picked your research question, undertaken a literature review, and identified the relevant variables, it’s now time to construct your conceptual framework. Conceptual frameworks are clear and often visual representations of the relationships between variables.

We’ll start with the basics: the independent and dependent variables.

Our hypothesis is that the quantity of ice cream sold directly depends on the number of sunny days; hence, there is a cause-and-effect relationship between the independent variable (the number of sunny days) and the dependent and independent variable (the quantity of ice cream sold).

Next, introduce a control variable. Remember, this is anything that might directly affect the dependent variable but is not being measured in the experiment:

Finally, introduce the intervening and extraneous variables. 

The intervening variable (temperature) clarifies the relationship between the independent variable (the number of sunny days) and the dependent variable (the quantity of ice cream sold). Extraneous variables, such as the average price of ice cream, are variables that are not controlled and can potentially impact the dependent variable.

Are Conceptual Frameworks and Research Paradigms the Same?

In simple terms, the research paradigm is what informs your conceptual framework. In defining our research paradigm we ask the big questions—Is there an objective truth and how can we understand it? If we decide the answer is yes, we may be working with a positivist research paradigm and will choose to build a conceptual framework that displays the relationship between fixed variables. If not, we may be working with a constructivist research paradigm, and thus our conceptual framework will be more of a loose amalgamation of ideas, theories, and themes (a qualitative study). If this is confusing–don’t worry! We have an excellent blog post explaining research paradigms in more detail.

Where is the Conceptual Framework Located in a Thesis?

This will depend on your discipline, research type, and school’s guidelines, but most papers will include a section presenting the conceptual framework in the introduction, literature review, or opening chapter. It’s best to present your conceptual framework after presenting your research question, but before outlining your methodology.

Can a Conceptual Framework be Used in a Qualitative Study?

Yes. Despite being less clear-cut than a quantitative study, all studies should present some form of a conceptual framework. Let’s say you were doing a study on care home practices and happiness, and you came across a “happiness model” constructed by a relevant theorist in your literature review. Your conceptual framework could be an outline or a visual depiction of how you will use this model to collect and interpret qualitative data for your own study (such as interview responses). Check out this useful resource showing other examples of conceptual frameworks for qualitative studies .

Expert Proofreading for Researchers

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Conceptual Framework: A Step-by-Step Guide on How to Make One

What is a conceptual framework? How do you prepare one? This article defines the conceptual framework and lists the steps on how to prepare it. A simplified example is added to strengthen the reader’s understanding.

In preparing your research paper as one requirement for your course as an undergraduate or graduate student, you will need to write the conceptual framework of your study. The conceptual framework steers the whole research activity. The conceptual framework serves as a “map” or “rudder” that will guide you towards realizing your study’s objectives or intent.

What, then, is a conceptual framework in empirical research? The next section defines and explains the term.

Table of Contents

Definition of conceptual framework.

A conceptual framework represents the researcher’s synthesis of the literature on how to explain a phenomenon. It maps out the actions required in the study’s course, given the researcher’s previous knowledge of other researchers’ point of view and his or her observations about the phenomenon studied.

The conceptual framework is the researcher’s understanding of how the particular  variables  in the study connect. Thus, it identifies the variables required in the research investigation. It is the researcher’s “map” in pursuing the investigation.

As McGaghie  et al . (2001) put it: The conceptual framework “sets the stage” to present the particular research question that drives the investigation being reported based on the problem statement. The problem statement of a thesis gives the context and the issues that caused the researcher to conduct the study.

The conceptual framework lies within a much broader framework called a theoretical framework . The latter draws support from time-tested theories that embody many researchers’ findings on why and how a particular phenomenon occurs.

I expounded on this definition, including its purpose, in my recent post titled “ What is a Conceptual Framework? Expounded Definition and Five Purposes .”

4 Steps on How to Make the Conceptual Framework

Before you prepare your conceptual framework, you need to do the following things:

Choose your topic

Decide on what will be your research topic. The topic should be within your field of specialization. (Generate your research topic using brainstorming tips ).

Do a literature review

Review relevant and updated research on the theme that you decide to work on after scrutiny of the issue at hand. Preferably use peer-reviewed , and well-known scientific journals as these are reliable sources of information.

Isolate the important variables

Identify the specific variables described in the literature and figure out how these are related. Some research abstracts contain the variables, and the salient findings thus may serve the purpose. If these are not available, find the research paper’s summary.

If the variables are not explicit in summary, get back to the methodology or the results and discussion section and quickly identify the study variables and the significant findings. Read  the TSPU Technique  to skim articles efficiently and get to the essential points with little fuss.

Generate the conceptual framework

Build your conceptual framework using your mix of the variables from the scientific articles you have read. Your problem statement or research objective serves as a reference for constructing it. In effect, your study will attempt to answer the question that other researchers have not explained yet. Your research should address a knowledge gap .

Example of a Conceptual Framework

Research topic.

Statement number 5 introduced in an earlier post titled How to Write a Thesis Statement  will serve as the basis of the illustrated conceptual framework in the following examples.

The youth, particularly students who need to devote a lot of time using their mobile phones to access their course modules, laptops, or desktops, are most affected. Also, they spend time interacting with their mobile phones as they communicate with their friends on social media channels like Facebook, Messenger, and the like.

When free from schoolwork, many students spend their time viewing films on Netflix, YouTube, or similar sites. These activities can affect their sleeping patterns and cause health problems in the long run because light-emitting diode (LED) exposure reduces the number of hours spent sleeping.

Thesis Statement

Related to the students’ activity, we can write the thesis statement thus:

Thesis statement : Chronic exposure to blue light from LED screens (of computer monitors ,  mobile phones, tablets, and television) deplete melatonin levels, thus reducing the number of sleeping hours among the youth, particularly students who need to work on their academic requirements.

Review of Literature

The literature review supports the thesis statement as among those that catch one’s attention is a paper that warns against the use of LED devices at night. Although we can save a lot of electrical energy by using the efficient LED where the inventors Isamu Akasaki, Hiroshi Amano and Shuji Nakamura received a Nobel prize in physics in 2014, there is growing evidence that it can cause human health problems, particularly cancer.

Haim & Zubidat (2015) of the Israeli Center for Interdisciplinary Research in Chronobiology synthesized the literature about LEDs. They found out that blue light from the light-emitting diodes (LED) inhibits melatonin production, particularly during active secretion at night. Melatonin is a neuro-hormone that regulates sleep and wake cycles. Also, it can slow down aging and prevent cancer (Srinivasan et al., 2011).

Thus, looking directly at your laptop, mobile phone, or television at night not only can severely damage your eyes but also prevent the achievement of sound sleeping patterns. As a countermeasure, sleep experts recommend limiting the use of digital devices until 8 o’clock in the evening.

Those affected experience insomnia (see 10 Creative Ways on How to Get Rid of Insomnia ); they sleep less than required (usually less than six hours), and this happens when they spend too much time working on their laptops doing some machine learning stuff, monitoring conversations or posts on social media sites using their mobile phones, or viewing the television at night.

Variables Isolated from the Literature

Using the background information backed by evidence in the literature review, we can now develop the study’s paradigm on the effect of LED exposure to sleep. We will not include all the variables mentioned and select or isolate only those factors that we are interested in.

Figure 1 presents a visual representation, the paradigm, of what we want to correlate in this study. It shows measurable variables that can produce data we can analyze using a statistical test such as either the parametric test Pearson’s Product-Moment Correlation or the nonparametric test Spearman Rho (please refresh if you cannot see the figure).

Notice that the variables of the study are explicit in the paradigm presented in Figure 1. In the illustration, the two variables are:

1) the number of hours devoted in front of the computer, and 2) the number of hours slept through the night until dawn.

The former is the independent variable, while the latter is the dependent variable. Both variables are easy to measure. It is just counting the number of hours spent in front of the computer and the number of hours slept through the night in the study subjects.

Assuming that other things are constant during the study’s performance, it will be possible to relate these two variables and confirm that, indeed, blue light emanated from computer screens can affect one’s sleeping patterns. (Please read the article titled “ Do you know that the computer can disturb your sleeping patterns ?” to find out more about this phenomenon). A correlation analysis will show if the relationship is significant.

Related Reading :

• How the conceptual framework guides marketing research

Evolution of a Social Theory as Basis of Conceptual Framework Development

Related to the development of the conceptual framework, I wrote a comprehensive article on how a social theory develops by incisively looking at current events that the world is facing now — the COVID-19 pandemic. It shows how society responds to a threat to its very survival.

Specifically, this article focuses on the COVID-19 vaccine, how it develops and gets integrated into the complex fabric of human society. It shows how the development of the vaccine is only part of the story. A major consideration in its development resides in the supporters of the vaccine’s development, the government, and the recipients’ trust, thus the final acceptance of the vaccine.

Social theory serves as the backdrop or theoretical framework of the more focused or variable level conceptual framework. Hence, the paradigm that I develop at the end of that article can serve as a lens to examine how the three players of vaccine development interact more closely at the variable level. It shows the dynamics of power and social structure and how it unfolds in response to a pandemic that affects everyone.

Check out the article titled “ Pfizer COVID-19 Vaccine: More Than 90% Effective Against the Coronavirus .” This article shall enrich your knowledge of how an abstract concept narrows down into blocks of researchable topics.

Haim, A., & Zubidat, A. E. (2015). LED light between Nobel Prize and cancer risk factor. Chronobiology International , 32 (5), 725-727.

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

Srinivasan, V., R Pandi-Perumal, S., Brzezinski, A., P Bhatnagar, K., & P Cardinali, D. (2011). Melatonin, immune function and cancer. Recent patents on endocrine, metabolic & immune drug discovery , 5 (2), 109-123.

©2015 January 5 P. A. Regoniel

Cite as: Regoniel, P. A. (2015, January 5). Conceptual framework: a step-by-step guide on how to make one. Research-based Articles. https://simplyeducate.me/wordpress_Y/2015/01/05/conceptual-framework-guide/

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About the author, patrick regoniel.

Dr. Regoniel, a faculty member of the graduate school, served as consultant to various environmental research and development projects covering issues and concerns on climate change, coral reef resources and management, economic valuation of environmental and natural resources, mining, and waste management and pollution. He has extensive experience on applied statistics, systems modelling and analysis, an avid practitioner of LaTeX, and a multidisciplinary web developer. He leverages pioneering AI-powered content creation tools to produce unique and comprehensive articles in this website.

104 Comments

hallo! I would like to study “the socio-economic and environmental Impact of urban forests on livelihood: The perception of urban residents” how can my conceptual framework be like?

Hello Jesse, there are many free alternatives online if you are diligent enough in finding them. The reason I wrote this article is that in 2015, when I originally wrote it, I could not find an easy-to-understand explanation of the conceptual framework which will help my students. I also have a vague knowledge of the concept at that time, even with the available literature. Hence, I painstakingly gathered all materials I could from online and offline literature, synthesized them, and wrote about the concept in the simplest way I could without losing the essence. Now, I have seen many articles and even videos using the ideas I have rigorously prepared. If you find the tedious work I did irrelevant, then perhaps the ebook is expensive notwithstanding the many expenses on hosting, domain name, time and effort in maintaining the site that I incur in keeping this website online and make this ebook available to everyone.

I read the article how still struggling to come up with a conceptual framework, may you please assist, how should I go about as a new researcher my topic; INVESTIGATE THE DECISION TO TRANSFER NINE (9) FUNCTIONS OF ENVIRONMENTAL HEALTH TO LOCAL GOVERNMENT . Purpose: The purpose of this research is to review the delivery of EHS at the local government with a view to understanding the variation in performance and their causes. questions are: 1.2.1 What factors explain the performance variation in the delivery of EHS across municipalities? 1.2.2 How has devolution of the EH function aided or harmed the delivery of EHS?

Hello Mr. Siyabonga. I think what you want to find out is how environmental health services (EHS) performed at the local government level. In doing so, you need to have a set of indicators of successful transition. How is performance assessed? Once you already have a measure of success, then you need to define which variables in the local government have significantly influenced performance. After you have done so, then you can try to correlate local government characteristics and their performance.

I hope that helps.

My name is Jobson, my research topic is: The scope of Ugandan nurses and midwives in using the nursing process in the care of patients

our topic is Neutrophil and Lymphocyte Ratio as a Diagnostic Biomarker for Kidney Stones (experimental) How do I come up with a conceptual framework? What would be the variables?

My topic: E-commerce Platform for Agricultural and Construction Supplies with e-KYC Identification, Feed Page, and Products Bidding Will you please help me to make Conceptual Framework written with visual representation. thank you so much in advance.

Good day Jomar, I am not so clear about what you want to do. Can you write the objectives of your study? You can read about framing the research objectives here: https://simplyeducate.me/wordpress_Y/2020/03/15/research-objective/

My topic is; Mitigating against Childmaltreatment in earlychildhood through positive parenting: Chronicles of first time parents in XYZ City”

How do I come up with a conceptual framework? What would be variables?

Hello Phathi, Apparently, you are trying to relate parenting and child behavior?

Assessing the use of Geographic Information Systems (GIS) as a storage information tool in estate management:

How do i come up with a conceptual framework. What would be variables??

Dear Mbuso, Why will you assess the GIS use in estate management? What is it for?

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• What Is a Conceptual Framework? | Tips & Examples

What Is a Conceptual Framework? | Tips & Examples

Published on 4 May 2022 by Bas Swaen and Tegan George. Revised on 18 March 2024.

A conceptual framework illustrates the expected relationship between your variables. It defines the relevant objectives for your research process and maps out how they come together to draw coherent conclusions.

Keep reading for a step-by-step guide to help you construct your own conceptual framework.

Table of contents

Developing a conceptual framework in research, step 1: choose your research question, step 2: select your independent and dependent variables, step 3: visualise your cause-and-effect relationship, step 4: identify other influencing variables, frequently asked questions about conceptual models.

A conceptual framework is a representation of the relationship you expect to see between your variables, or the characteristics or properties that you want to study.

Conceptual frameworks can be written or visual and are generally developed based on a literature review of existing studies about your topic.

Your research question guides your work by determining exactly what you want to find out, giving your research process a clear focus.

However, before you start collecting your data, consider constructing a conceptual framework. This will help you map out which variables you will measure and how you expect them to relate to one another.

In order to move forward with your research question and test a cause-and-effect relationship, you must first identify at least two key variables: your independent and dependent variables .

• The expected cause, ‘hours of study’, is the independent variable (the predictor, or explanatory variable)
• The expected effect, ‘exam score’, is the dependent variable (the response, or outcome variable).

Note that causal relationships often involve several independent variables that affect the dependent variable. For the purpose of this example, we’ll work with just one independent variable (‘hours of study’).

Now that you’ve figured out your research question and variables, the first step in designing your conceptual framework is visualising your expected cause-and-effect relationship.

It’s crucial to identify other variables that can influence the relationship between your independent and dependent variables early in your research process.

Some common variables to include are moderating, mediating, and control variables.

Moderating variables

Moderating variable (or moderators) alter the effect that an independent variable has on a dependent variable. In other words, moderators change the ‘effect’ component of the cause-and-effect relationship.

Let’s add the moderator ‘IQ’. Here, a student’s IQ level can change the effect that the variable ‘hours of study’ has on the exam score. The higher the IQ, the fewer hours of study are needed to do well on the exam.

Let’s take a look at how this might work. The graph below shows how the number of hours spent studying affects exam score. As expected, the more hours you study, the better your results. Here, a student who studies for 20 hours will get a perfect score.

But the graph looks different when we add our ‘IQ’ moderator of 120. A student with this IQ will achieve a perfect score after just 15 hours of study.

Below, the value of the ‘IQ’ moderator has been increased to 150. A student with this IQ will only need to invest five hours of study in order to get a perfect score.

Here, we see that a moderating variable does indeed change the cause-and-effect relationship between two variables.

Mediating variables

Now we’ll expand the framework by adding a mediating variable . Mediating variables link the independent and dependent variables, allowing the relationship between them to be better explained.

Here’s how the conceptual framework might look if a mediator variable were involved:

In this case, the mediator helps explain why studying more hours leads to a higher exam score. The more hours a student studies, the more practice problems they will complete; the more practice problems completed, the higher the student’s exam score will be.

Moderator vs mediator

It’s important not to confuse moderating and mediating variables. To remember the difference, you can think of them in relation to the independent variable:

• A moderating variable is not affected by the independent variable, even though it affects the dependent variable. For example, no matter how many hours you study (the independent variable), your IQ will not get higher.
• A mediating variable is affected by the independent variable. In turn, it also affects the dependent variable. Therefore, it links the two variables and helps explain the relationship between them.

Control variables

Lastly,  control variables must also be taken into account. These are variables that are held constant so that they don’t interfere with the results. Even though you aren’t interested in measuring them for your study, it’s crucial to be aware of as many of them as you can be.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

Swaen, B. & George, T. (2024, March 18). What Is a Conceptual Framework? | Tips & Examples. Scribbr. Retrieved 14 May 2024, from https://www.scribbr.co.uk/research-methods/conceptual-frameworks/

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• Research Guides

Literature Review: A Self-Guided Tutorial

Using concept maps.

• Literature Reviews: A Recap
• Peer Review
• Reading the Literature
• Developing Research Questions
• Considering Strong Opinions
• 2. Review discipline styles
• Super Searching
• Finding the Full Text
• Citation Searching This link opens in a new window
• When to stop searching
• Citation Management
• Annotating Articles Tip
• 5. Critically analyze and evaluate
• How to Review the Literature
• Using a Synthesis Matrix
• 7. Write literature review

Concept maps or mind maps visually represent relationships of different concepts. In research, they can help you make connections between ideas. You can use them as you are formulating your research question, as you are reading a complex text, and when you are creating a literature review. See the video and examples below.

How to Create a Concept Map

Credit: Penn State Libraries ( CC-BY ) Run Time: 3:13

• Bubbl.us Free version allows 3 mind maps, image export, and sharing.
• MindMeister Free version allows 3 mind maps, sharing, collaborating, and importing. No image-based exporting.

Mind Map of a Text Example

Credit: Austin Kleon. A map I drew of John Berger’s Ways of Seeing in 2008. Tumblr post. April 14, 2016. http://tumblr.austinkleon.com/post/142802684061#notes

Literature Review Mind Map Example

This example shows the different aspects of the author's literature review with citations to scholars who have written about those aspects.

Credit: Clancy Ratliff, Dissertation: Literature Review. Culturecat: Rhetoric and Feminism [blog]. 2 October 2005. http://culturecat.net/node/955 .

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• Next: 1. Identify the question >>
• Last Updated: Feb 22, 2024 10:53 AM
• URL: https://libguides.williams.edu/literature-review

Theoretical vs Conceptual Framework

What they are & how they’re different (with examples)

By: Derek Jansen (MBA) | Reviewed By: Eunice Rautenbach (DTech) | March 2023

If you’re new to academic research, sooner or later you’re bound to run into the terms theoretical framework and conceptual framework . These are closely related but distinctly different things (despite some people using them interchangeably) and it’s important to understand what each means. In this post, we’ll unpack both theoretical and conceptual frameworks in plain language along with practical examples , so that you can approach your research with confidence.

Overview: Theoretical vs Conceptual

What is a theoretical framework, example of a theoretical framework, what is a conceptual framework, example of a conceptual framework.

• Theoretical vs conceptual: which one should I use?

A theoretical framework (also sometimes referred to as a foundation of theory) is essentially a set of concepts, definitions, and propositions that together form a structured, comprehensive view of a specific phenomenon.

In other words, a theoretical framework is a collection of existing theories, models and frameworks that provides a foundation of core knowledge – a “lay of the land”, so to speak, from which you can build a research study. For this reason, it’s usually presented fairly early within the literature review section of a dissertation, thesis or research paper .

Let’s look at an example to make the theoretical framework a little more tangible.

If your research aims involve understanding what factors contributed toward people trusting investment brokers, you’d need to first lay down some theory so that it’s crystal clear what exactly you mean by this. For example, you would need to define what you mean by “trust”, as there are many potential definitions of this concept. The same would be true for any other constructs or variables of interest.

You’d also need to identify what existing theories have to say in relation to your research aim. In this case, you could discuss some of the key literature in relation to organisational trust. A quick search on Google Scholar using some well-considered keywords generally provides a good starting point.

Typically, you’ll present your theoretical framework in written form , although sometimes it will make sense to utilise some visuals to show how different theories relate to each other. Your theoretical framework may revolve around just one major theory , or it could comprise a collection of different interrelated theories and models. In some cases, there will be a lot to cover and in some cases, not. Regardless of size, the theoretical framework is a critical ingredient in any study.

Simply put, the theoretical framework is the core foundation of theory that you’ll build your research upon. As we’ve mentioned many times on the blog, good research is developed by standing on the shoulders of giants . It’s extremely unlikely that your research topic will be completely novel and that there’ll be absolutely no existing theory that relates to it. If that’s the case, the most likely explanation is that you just haven’t reviewed enough literature yet! So, make sure that you take the time to review and digest the seminal sources.

Need a helping hand?

A conceptual framework is typically a visual representation (although it can also be written out) of the expected relationships and connections between various concepts, constructs or variables. In other words, a conceptual framework visualises how the researcher views and organises the various concepts and variables within their study. This is typically based on aspects drawn from the theoretical framework, so there is a relationship between the two.

Quite commonly, conceptual frameworks are used to visualise the potential causal relationships and pathways that the researcher expects to find, based on their understanding of both the theoretical literature and the existing empirical research . Therefore, the conceptual framework is often used to develop research questions and hypotheses .

Let’s look at an example of a conceptual framework to make it a little more tangible. You’ll notice that in this specific conceptual framework, the hypotheses are integrated into the visual, helping to connect the rest of the document to the framework.

As you can see, conceptual frameworks often make use of different shapes , lines and arrows to visualise the connections and relationships between different components and/or variables. Ultimately, the conceptual framework provides an opportunity for you to make explicit your understanding of how everything is connected . So, be sure to make use of all the visual aids you can – clean design, well-considered colours and concise text are your friends.

Theoretical framework vs conceptual framework

As you can see, the theoretical framework and the conceptual framework are closely related concepts, but they differ in terms of focus and purpose. The theoretical framework is used to lay down a foundation of theory on which your study will be built, whereas the conceptual framework visualises what you anticipate the relationships between concepts, constructs and variables may be, based on your understanding of the existing literature and the specific context and focus of your research. In other words, they’re different tools for different jobs , but they’re neighbours in the toolbox.

Naturally, the theoretical framework and the conceptual framework are not mutually exclusive . In fact, it’s quite likely that you’ll include both in your dissertation or thesis, especially if your research aims involve investigating relationships between variables. Of course, every research project is different and universities differ in terms of their expectations for dissertations and theses, so it’s always a good idea to have a look at past projects to get a feel for what the norms and expectations are at your specific institution.

Want to learn more about research terminology, methods and techniques? Be sure to check out the rest of the Grad Coach blog . Alternatively, if you’re looking for hands-on help, have a look at our private coaching service , where we hold your hand through the research process, step by step.

Psst... there’s more!

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

19 Comments

Thank you for giving a valuable lesson

good thanks!

VERY INSIGHTFUL

thanks for given very interested understand about both theoritical and conceptual framework

I am researching teacher beliefs about inclusive education but not using a theoretical framework just conceptual frame using teacher beliefs, inclusive education and inclusive practices as my concepts

good, fantastic

great! thanks for the clarification. I am planning to use both for my implementation evaluation of EmONC service at primary health care facility level. its theoretical foundation rooted from the principles of implementation science.

This is a good one…now have a better understanding of Theoretical and Conceptual frameworks. Highly grateful

Very educating and fantastic,good to be part of you guys,I appreciate your enlightened concern.

Thanks for shedding light on these two t opics. Much clearer in my head now.

Simple and clear!

The differences between the two topics was well explained, thank you very much!

Thank you great insight

Superb. Thank you so much.

Hello Gradcoach! I’m excited with your fantastic educational videos which mainly focused on all over research process. I’m a student, I kindly ask and need your support. So, if it’s possible please send me the PDF format of all topic provided here, I put my email below, thank you!

I am really grateful I found this website. This is very helpful for an MPA student like myself.

I’m clear with these two terminologies now. Useful information. I appreciate it. Thank you

I’m well inform about these two concepts in research. Thanks

I found this really helpful. It is well explained. Thank you.

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