Constructing a would require researchers to consider how the innovation relates to each of the constructs in the model, to identify that make up the constructs and to consider their of the concepts (eg, how they conceive the prevailing work ethic or experience the managerial hierarchy). They may also be able to postulate between different constructs or concepts or decide to focus on particular aspects of the model, which they could explore conceptually using the literature. Their research design would be influenced by their areas of interest, which would, in turn, determine their research methods. The findings could allow them to modify their model with evidence-based relationships and new concepts.
Qualitative research’s “uneasy relationship with theory” 4 may be due to several misconceptions. One possible misconception is that qualitative research aims to build theory and thus does not need theoretical grounding. The reality is that all qualitative research methods, not just Grounded Theory studies focused on theory building, may lead to theory construction. 16 Similarly, all types of qualitative research, including Grounded Theory studies, should be guided by research frameworks. 16
Not using a research framework may also be due to misconceptions that qualitative research aims to understand people’s perspectives and experiences without examining them from a particular theoretical perspective or that theoretical foundations may influence researchers’ interpretations of participants’ meanings. In fact, in the same way that participants’ meanings vary, qualitative researchers’ interpretations (as opposed to descriptions) of participants’ meaning-making will differ. 32 , 33 Research frameworks thus provide a frame of reference for “making sense of the data.” 34
Studies informed by well-defined research frameworks can make a world of difference in alleviating misconceptions. Good qualitative reporting requires research frameworks that make explicit the combination of relevant theories, theoretical constructs and concepts that will permeate every aspect of the research. Irrespective of the term used, research frameworks are critical components of reporting not only qualitative but also all types of research.
In memory of Martie Sanders: supervisor, mentor, and colleague. My deepest gratitude for your unfailing support and guidance. I feel your loss.
Conflicts of Interest: None.
Revisiting conceptual frameworks, differences between conceptual and theoretical frameworks, examples of theoretical and conceptual frameworks, developing frameworks for your study.
Theoretical and conceptual frameworks are both essential components of research, guiding and structuring the research. Although they are closely related, the conceptual and theoretical framework in any research project serve distinct purposes and have different characteristics. In this section, we provide an overview of the key differences between theoretical and conceptual frameworks.
Theoretical and conceptual frameworks are foundational components of any research study. They each play a crucial role in guiding and structuring the research, from the formation of research questions to the interpretation of results .
While both the theoretical and conceptual framework provides a structure for a study, they serve different functions and can impact the research in distinct ways depending on how they are combined. These differences might seem subtle, but they can significantly impact your research design and outcomes, which is why it is important to think through each one of them.
The theoretical framework describes the broader lens through which the researcher views the topic and guides their overall understanding and approach. It connects the theoretical perspective to the data collection and data analysis strategy and offers a structure for organizing and interpreting the collected data.
On the other hand, the conceptual framework describes in detail and connects specific concepts and variables to illustrate potential relationships between them. It serves as a guide for assessing which aspects of the data are relevant and specifying how the research question is being answered. While the theoretical framework outlines how more abstract-level theories shape the study, the conceptual framework operationalizes the empirical observations that can be connected to theory and broader understanding.
Understanding these differences is crucial when designing and conducting your research study. In this chapter, we will look deeper at the distinctions between these types of frameworks, and how they interplay in qualitative research . We aim to provide you with a solid understanding of both, allowing you to effectively utilize them in your own research.
Theoretical frameworks play a central role in research, serving as the bedrock of any investigation. This section offers a refresher on the essential elements and functions of theoretical frameworks in research.
A theoretical framework refers to existing theory, concepts, and definitions that you use to collect relevant data and offer meaningful empirical findings. Providing an overall orientation or lens, it guides your understanding of the research problem and directs your approach to data collection and analysis .
Your chosen theoretical framework directly influences your research questions and methodological choices . It contains specific theories or sets of assumptions drawn from relevant disciplines—such as sociology, psychology, or economics—that you apply to understand your research topic. These existing models and concepts are tools to help you organize and make sense of your data.
The theoretical framework also plays a key role in crafting your research questions and objectives. By determining the theories that are relevant to your research, the theoretical framework shapes the nature and direction of your study. It's essential to note, however, that the theoretical framework's role in qualitative research is not to predict outcomes. Instead, it offers a broader structure to understand and interpret your data, enabling you to situate your findings within the broader academic discourse in a way that makes your research findings meaningful to you and your research audience.
Conceptual frameworks , though related to theoretical frameworks , serve distinct functions within research. This section reexamines the characteristics and functions of conceptual frameworks to provide a better understanding of their roles in qualitative research .
A conceptual framework, in essence, is a system of concepts, assumptions, and beliefs that supports and informs your research. It outlines the specific variables or concepts you'll examine in your study and proposes relationships between them. It's more detailed and specific than a theoretical framework, acting as a contextualized guide for the collection and interpretation of empirical data.
The main role of a conceptual framework is to illustrate the presumed relationships between the variables or concepts you're investigating. These variables or concepts, which you derive from your theoretical framework, are integral to your research questions , objectives, and hypotheses . The conceptual framework shows how you theorize these concepts are related, providing a visual or narrative model of your research.
A study's own conceptual framework plays a vital role in guiding the data collection process and the subsequent analysis . The conceptual framework specifies which data you need to collect and provides a structure for interpreting and making sense of the collected data. For instance, if your conceptual framework identifies a particular variable as impacting another, your data collection and analysis will be geared towards investigating this relationship.
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Though interconnected, theoretical and conceptual frameworks have distinct roles in research and contribute differently to the research. This section will contrast the two in terms of scope, purpose, their role in the research process, and their relationship to the data analysis strategy and research question .
Theoretical and conceptual frameworks differ fundamentally in their scope. Theoretical frameworks provide a broad and general view of the research problem, rooted in established theories. They explain phenomena by applying a particular theoretical lens. Conceptual frameworks, on the other hand, offer a more focused view of the specific research problem. They explicitly outline the concrete concepts and variables involved in the study and the relationships between them.
While both frameworks guide the research process, they do so in different ways. Theoretical frameworks guide the overall approach to understanding the research problem by indicating the broader conversation the researcher is contributing to and shaping the research questions.
Conceptual frameworks provide a map for the study, guiding the data collection and interpretation process, including what variables or concepts to explore and how to analyze them.
The two types of frameworks relate differently to the research question and design. The theoretical framework often inspires the research question based on previous theories' predictions or understanding about the phenomena under investigation. A conceptual framework then emerges from the research question, providing a contextualized structure for what exactly the research will explore.
Theoretical and conceptual frameworks also play distinct roles in data analysis. Theoretical frameworks provide the lens for interpreting the data, informing what kinds of themes and patterns might be relevant. Conceptual frameworks, however, present the variables concepts and variables and the relationships among them that will be analyzed. Conceptual frameworks may illustrate concepts and relationships based on previous theory, but they can also include novel concepts or relationships that stem from the particular context being studied.
Finally, the two types of frameworks relate differently to the research question and design. The theoretical framework basically differs from the conceptual framework in that it often inspires the research question based on the theories' predictions about the phenomena under investigation. A conceptual framework, on the other hand, emerges from the research question, providing a structure for investigating it.
Using case studies , we can effectively demonstrate the differences between theoretical and conceptual frameworks. Let’s take a look at some real-world examples that highlight the unique role and function of each framework within a research context.
Consider a study exploring the impact of classroom environments on student learning outcomes. The theoretical framework might be grounded in Piaget's theory of cognitive development, which offers a broad lens for understanding how students learn and process information.
Within this theoretical framework, the researcher formulates the conceptual framework. The conceptual framework identifies specific variables to study such as classroom layout, teacher-student ratio, availability of learning materials, and student performance as the dependent variable. It then outlines the expected relationships between these variables, such as proposing that a lower teacher-student ratio and well-equipped classrooms positively impact student performance.
Another study might aim to understand the factors influencing the job satisfaction of employees in a corporate setting. The theoretical framework could be based on Maslow's hierarchy of needs, interpreting job satisfaction in terms of fulfilling employees' physiological, safety, social, esteem, and self-actualization needs.
From this theoretical perspective, the researcher constructs the conceptual framework, identifying specific variables such as salary (physiological needs), job security (safety needs), teamwork (social needs), recognition (esteem needs), and career development opportunities (self-actualization needs). The conceptual framework proposes relationships among these variables and job satisfaction, such as higher salaries and more recognition being related to higher job satisfaction.
After understanding the unique roles and functions of these types of frameworks, you might ask: How do I develop them for my study? It's essential to remember that it's not a question of choosing one over the other, as both frameworks can and often do coexist within the same research project.
The choice of a theoretical and a conceptual framework often depends on the nature of your research question . If your research question is more exploratory and requires a broad understanding of the problem, a theoretical framework can provide a useful lens for interpretation. However, your conceptual framework may end up looking rather different to previous theory as you collect data and discover new concepts or relationships.
Consider the nature of your research problem as well. If you are studying a well-researched problem and there are established theories about it, using a theoretical framework to interpret your findings in light of these theories might be beneficial. But if your study explores a novel problem or aims to understand specific processes or relationships, developing a conceptual framework that maps these specific elements could prove more effective.
Your research methodology could also inform your choice. If your study is more interpretive and aims to understand people's experiences and perceptions, a theoretical framework can outline broader concepts that are relevant to approaching your study. Your conceptual framework can then shed light on the specific concepts that emerged in your data. By carefully thinking through your theoretical and conceptual frameworks, you can effectively utilize both types of frameworks in your research, ensuring a solid foundation for your study.
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Educational resources and simple solutions for your research journey
A strong conceptual framework underpins good research. A conceptual framework in research is used to understand a research problem and guide the development and analysis of the research. It serves as a roadmap to conceptualize and structure the work by providing an outline that connects different ideas, concepts, and theories within the field of study. A conceptual framework pictorially or verbally depicts presumed relationships among the study variables.
The purpose of a conceptual framework is to serve as a scheme for organizing and categorizing knowledge and thereby help researchers in developing theories and hypotheses and conducting empirical studies.
In this post, we explain what is a conceptual framework, and provide expert advice on how to make a conceptual framework, along with conceptual framework examples.
Table of Contents
Definition of a conceptual framework.
A conceptual framework includes key concepts, variables, relationships, and assumptions that guide the academic inquiry. It establishes the theoretical underpinnings and provides a lens through which researchers can analyze and interpret data. A conceptual framework draws upon existing theories, models, or established bodies of knowledge to provide a structure for understanding the research problem. It defines the scope of research, identifying relevant variables, establishing research questions, and guiding the selection of appropriate methodologies and data analysis techniques.
Conceptual frameworks can be written or visual. Other types of conceptual framework representations might be taxonomic (verbal description categorizing phenomena into classes without showing relationships between classes) or mathematical descriptions (expression of phenomena in the form of mathematical equations).
Figure 1: Definition of a conceptual framework explained diagrammatically
The term conceptual framework appears to have originated in philosophy and systems theory, being used for the first time in the 1930s by the philosopher Alfred North Whitehead. He bridged the theological, social, and physical sciences by providing a common conceptual framework. The use of the conceptual framework began early in accountancy and can be traced back to publications by William A. Paton and John B. Canning in the first quarter of the 20 th century. Thus, in the original framework, financial issues were addressed, such as useful features, basic elements, and variables needed to prepare financial statements. Nevertheless, a conceptual framework approach should be considered when starting your research journey in any field, from finance to social sciences to applied sciences.
The importance of a conceptual framework in research cannot be understated, irrespective of the field of study. It is important for the following reasons:
Essential elements that a conceptual framework should include are as follows:
The sources for these elements of a conceptual framework are literature, theory, and experience or prior knowledge.
Now that you know the essential elements, your next question will be how to make a conceptual framework.
For this, start by identifying the most suitable set of questions that your research aims to answer. Next, categorize the various variables. Finally, perform a rigorous analysis of the collected data and compile the final results to establish connections between the variables.
In short, the steps are as follows:
Be sure to make use of arrows and lines to depict the presence or absence of correlational linkages among the variables.
Researchers should be adept at developing a conceptual framework. Here are the steps for developing a conceptual framework:
Your research question guides your entire study, making it imperative to invest time and effort in formulating a question that aligns with your research goals and contributes to the existing body of knowledge. This step involves the following:
The dependent variable is the main outcome you want to measure, explain, or predict in your study. It should be a variable that can be observed, measured, or assessed quantitatively or qualitatively. Independent variables are the factors or variables that may influence, explain, or predict changes in the dependent variable.
Choose independent and dependent variables for your study according to the research objectives, the nature of the phenomenon being studied, and the specific research design. The identification of variables is rooted in existing literature, theories, or your own observations.
To better understand and communicate the relationships between variables in your study, cause-and-effect relationships need to be visualized. This can be done by using path diagrams, cause-and-effect matrices, time series plots, scatter plots, bar charts, or heatmaps.
Besides the independent and dependent variables, researchers must understand and consider the following types of variables:
Let us examine the following conceptual framework example. Let’s say your research topic is “ The Impact of Social Media Usage on Academic Performance among College Students .” Here, you want to investigate how social media usage affects academic performance in college students. Social media usage (encompassing frequency of social media use, time spent on social media platforms, and types of social media platforms used) is the independent variable, and academic performance (covering grades, exam scores, and class attendance) is the dependent variable.
This conceptual framework example also includes a mediating variable, study habits, which may explain how social media usage affects academic performance. Study habits (time spent studying, study environment, and use of study aids or resources) can act as a mechanism through which social media usage influences academic outcomes. Additionally, a moderating variable, self-discipline (level of self-control and self-regulation, ability to manage distractions, and prioritization skills), is included to examine how individual differences in self-control and discipline may influence the relationship between social media usage and academic performance.
Confounding variables are also identified (socioeconomic status, prior academic achievement), which are potential factors that may influence both social media usage and academic performance. These variables need to be considered and controlled in the study to ensure that any observed effects are specifically attributed to social media usage. A visual representation of this conceptual framework example is seen in Figure 2.
Figure 2: Visual representation of a conceptual framework for the topic “The Impact of Social Media Usage on Academic Performance among College Students”
Here is a snapshot of the basics of a conceptual framework in research:
What is the difference between a moderating variable and a mediating variable.
Moderating and mediating variables are easily confused. A moderating variable affects the direction and strength of this relationship, whereas a mediating explains how two variables relate.
Independent variables are the variables manipulated to affect the outcome of an experiment (e.g., the dose of a fat-loss drug administered to rats). Dependent variables are variables being measured or observed in an experiment (e.g., changes in rat body weight as a result of the drug). A confounding variable distorts or masks the effects of the variables being studied because it is associated both with dependent variable and with the independent variable. For instance, in this example, pre-existing metabolic dysfunction in some rats could interact differently with the drug being studied and also affect rat body weight.
The need for more than one dependent or independent variable in a study depends on the research question, study design, and relationships being investigated. Note the following when making this decision for your research:
A confounding variable is not the main focus of the study but can unintentionally influence the relationship between the independent and dependent variables. Confounding variables can introduce bias and give rise to misleading conclusions. These variables must be controlled to ensure that any observed relationship is genuinely due to the independent variable.
A control variable is something not of interest to the study’s objectives but is kept constant because it could influence the outcomes. Control variables can help prevent research biases and allow for a more accurate assessment of the relationship between the independent and dependent variables. Examples are (i) testing all participants at the same time (e.g., in the morning) to minimize the potential effects of circadian rhythms, (ii) ensuring that instruments are calibrated consistently before each measurement to minimize the influence of measurement errors, and (iii) randomization of participants across study groups.
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Tess Tsindos
Upon completion of this chapter, you should be able to:
A framework is a set of broad concepts or principles used to guide research. As described by Varpio and colleagues 1 , a framework is a logically developed and connected set of concepts and premises – developed from one or more theories – that a researcher uses as a scaffold for their study. The researcher must define any concepts and theories that will provide the grounding for the research and link them through logical connections, and must relate these concepts to the study that is being carried out. In using a particular theory to guide their study, the researcher needs to ensure that the theoretical framework is reflected in the work in which they are engaged.
It is important to acknowledge that the terms ‘theories’ ( see Chapter 3 ), ‘frameworks’ and ‘paradigms’ are sometimes used interchangeably. However, there are differences between these concepts. To complicate matters further, theoretical frameworks and conceptual frameworks are also used. In addition, quantitative and qualitative researchers usually start from different standpoints in terms of theories and frameworks.
A diagram by Varpio and colleagues demonstrates the similarities and differences between theories and frameworks, and how they influence research approaches. 1(p991) The diagram displays the objectivist or deductive approach to research on the left-hand side. Note how the conceptual framework is first finalised before any research is commenced, and it involves the articulation of hypotheses that are to be tested using the data collected. This is often referred to as a top-down approach and/or a general (theory or framework) to a specific (data) approach.
The diagram displays the subjectivist or inductive approach to research on the right-hand side. Note how data is collected first, and through data analysis, a tentative framework is proposed. The framework is then firmed up as new insights are gained from the data analysis. This is referred to as a specific (data) to general (theory and framework) approach .
A framework helps guide the questions used to elicit your data collection. A framework is not prescriptive, but it needs to be suitable for the research question(s), setting and participants. Therefore, the researcher might use different frameworks to guide different research studies.
A framework informs the study’s recruitment and sampling, and informs, guides or structures how data is collected and analysed. For example, a framework concerned with health systems will assist the researcher to analyse the data in a certain way, while a framework concerned with psychological development will have very different ways of approaching the analysis of data. This is due to the differences underpinning the concepts and premises concerned with investigating health systems, compared to the study of psychological development. The framework adopted also guides emerging interpretations of the data and helps in comparing and contrasting data across participants, cases and studies.
Some examples of foundational frameworks used to guide qualitative research in health services and public health:
In Table 4.1, citations of published papers are included to demonstrate how the particular framework helps to ‘frame’ the research question and the interpretation of results.
Suits research exploring:• Changing behaviours within health contexts to address patient and carer practices• Changing behaviours regarding environmental concerns• Barriers and enablers to behaviour/ practice/ implementation• Intervention planning and implementation• Post-evaluation• Promoting physical activity | This study examined how the COM-B model could be used to increase children’s hand-washing and improve disinfecting surfaces in seven countries. Each country had a different result based on capability, opportunity and/or motivation. This study examined the barriers and facilitators to talking about death and dying among the general population in Northern Ireland. The findings were mapped across the COM-B behaviour change model and the theoretical domains framework. This study explored women’s understanding of health and health behaviours and the supports that were important to promote behavioural change in the preconception period. Coding took place and a deductive process identified themes mapped to the COM-B framework. Identified perceived barriers and enablers of the implementation of a falls-prevention program to inform the implementation in a randomised controlled trial. Strategies to optimise the successful implementation of the program were also sought. Results were mapped against the COM-B framework. | ||
Great for:• Evaluation• Intervention and implementation planning | Explored participants’ experiences with the program (ceasing smoking) to inform future implementation efforts of combined smoking cessation and alcohol abstinence interventions, guided by the CFIR. Key findings from the interviews are presented in relation to overarching CFIR domains. This mixed-methods study drew upon the CFIR combined with the concept of ‘intervention fidelity’ to evaluate the quality of the interprofessional counselling sessions, to explore the perspective of, directly and indirectly, involved healthcare staff, as well as to analyse the perceptions and experiences of the patients. This is a protocol for a scoping study to identify the topics in need of study and areas for future research on barriers to and facilitators of the implementation of workplace health-promoting interventions. Data analysis was aligned to the CFIR. This study examined the utility of the CFIR in identifying and comparing barriers and facilitators influencing the implementation of participatory research trials, by employing an adaptation of the CFIR to assess the implementation of a multi-component, urban public school-based participatory health intervention. Adapted CFIR constructs guided the largely deductive approach to thematic data analysis. | ||
Good for:• Pre-implementation, implementation and post-implementation studies• Feasibility studies• Intervention development | This study aimed to develop and assess the psychometric properties of a measurement scale for acceptance of a telephone-facilitated health coaching intervention, based on the TFA; and to determine the acceptability of the intervention among participants living with diabetes or having a high risk of diabetes in socio-economically disadvantaged areas in Stockholm. A questionnaire using TFA was employed. This paper reported patients’ perceived acceptability of the use of PINCER in primary care and proposes suggestions on how delivery of PINCER-related care could be delivered in a way that is acceptable and not unnecessarily burdensome.This study describes the nationwide implementation of a program targeting physical activity and sedentary behaviour in vocational schools (Lets’s Move It; LMI). Results showed high levels of acceptability and reach of training. This study drew on established models such TFA to assess the acceptability of SmartNet in Ugandan households. Results showed the monitor needs to continue to be optimised to make it more acceptable to users and to accurately reflect standard insecticide-treated nets use to improve understanding of prevention behaviours in malaria-endemic settings. | ||
Good for:• Implementation• Evaluation | This pre-implementation evaluation of an integrated, shared decision-making personal health record system (e-PHR) was underpinned by NPT. The theory provides a framework to analyse cognitive and behavioural mechanisms known to influence implementation success. It was extremely valuable for informing the future implementation of e-PHR, including perceived benefits and barriers. This study assessed the impact of an intervention combining health literacy colorectal cancer-screening (CRC) training for GPs, using a pictorial brochure and video targeting eligible patients, to increase screening and other secondary outcomes, after 1 year, in several underserved geographic areas in France. They propose to evaluate health literacy among underserved populations to address health inequalities and improve CRC screening uptake and other outcomes. This study aimed to ascertain acceptability among pregnant smokers receiving the intervention. Interview schedules were informed by NPT and theoretical domains framework; interviews were analysed thematically, using the framework method and NPT. Findings are grouped according to the four NPT concepts. The study sought to understand how the implementation of primary care services for transgender individuals compares across various models of primary care delivery in Ontario, Canada. Using the NPT framework to guide analysis, key themes emerged about the successful implementation of primary care services for transgender individuals. | ||
Good for:• Patient experiences• Evaluation of health services• Evaluation | The study used the candidacy framework to explore how the doctor–patient relationship can influence perceived eligibility to visit their GP among people experiencing cancer alarm symptoms. A valuable theoretical framework for understanding the interactional factors of the doctor–patient relationship which influence perceived eligibility to seek help for possible cancer alarm symptoms.The study aimed to understand ways in which a mHealth intervention could be developed to overcome barriers to existing HIV testing and care services and promote HIV self-testing and linkage to prevention and care in a poor, HIV hyperendemic community in rural KwaZulu-Natal, South Africa. Themes were identified from the interview transcripts, manually coded, and thematically analysed informed by the candidacy framework.This study explored the perceived problems of non-engagement that outreach aims to address and specific mechanisms of outreach hypothesised to tackle these. Analysis was thematically guided by the concept of 'candidacy', which theorises the dynamic process through which services and individuals negotiate appropriate service use.This was a theoretically informed examination of experiences of access to secondary mental health services during the first wave of the COVID-19 pandemic in England. Findings affirm the value of the construct of candidacy for explaining access to mental health care, but also enable deepened understanding of the specific features of candidacy. | ||
Good for:• Examining how social injustice affects health of Aboriginal and Torres Strait Islander peoples from a non-medical model• Examining how inequalities in illness and mortality rates result from personal context within communities characterised by social, economic and political inequality, factors | Culture had a strong presence in program delivery and building social cohesion, and social capital emerged as themes. As a primary health care provider, the ACCHO sector addresses the social determinants of health and health inequity experienced by Indigenous communities. The community-controlled service increased their breadth of strategies used to address primary health care indicates the need for greater understanding of the benefits of this model, as well as advocacy to safeguard it from measures that may undermine its equity performance.The primary health care delivered by ACCHOs is culturally appropriate because they are incorporated Aboriginal organisations, initiated by local Aboriginal communities and based in local Aboriginal communities, governed by Aboriginal bodies elected by the local Aboriginal community, delivering a holistic and culturally appropriate health service to the community that controls it. After investigation, the authors state that failure to recognise the intersection of culture with other structural and societal factors creates and compounds poor health outcomes, thereby multiplying financial, intellectual and humanitarian cost. They review health and health practices as they relate to culture. | ||
Good for:• Understanding the non-medical factors that influence health and social outcomes | The study identifies and describes the social determinants of health.This study examines a socio-ecological approach to healthy eating and active living, a model of health that recognises the interaction between individuals and their greater environment and its impact on health.The study considers the healthcare screening and referral of families to resources that are critical roles for pediatric healthcare practices to consider as part of addressing social determinants of health.This study examines how (apart from age) social and economic factors contribute to disability differences between older men and women. | ||
Good for: • Examining all the factors that contribute to health, such as social, cultural, political and environmental factors | Participants provided narratives of the pictures, using pre-identified themes and the different levels of the social-ecological model.The study tested a socioecological model of the determinants of health literacy with a special focus on geographical differences in Europe.This study investigated the interaction of family support, transport cost (ex-post) and disabilities on health service-seeking behaviour among older people, from the perspective of the social ecological model. The study examined the factors that contributed to low birth weight in babies, including age, gestational age, birth spacing, age at marriage, history of having a low birth weight infant, miscarriage and stillbirth, mean weight before pregnancy, body mass index, hemoglobin and hematocrit, educational level, family size, number of pregnancies, husband’s support during pregnancy and husband’s occupation. | ||
Good for: • Using a new way of thinking to understand the whole rather than individual parts | The study outlines a systems theory of mental health care and promotion that is specific to needs of the recreational sport system, so that context-specific, effective policies, interventions and models of care can be articulated and tested.This study uses a systems-thinking approach to consider the person–environment transaction and to focus on the underlying processes and patterns of human behaviour of flight attendants.The study examines the family as a system and proposes that family systems theory is a formal theory that can be used to guide family practice and research.The authors examine the meta-theoretical, theoretical and methodological foundations of the literature base of hope. They examine the intersection of positive psychology with systems thinking. | ||
Good for:• Understanding the many factors that affect health, including biological, psychological and social factors | The biopsychosocial model was used to guide the entire research study: background, question, tools and analysis.The biopsychosocial model was used to guide the researchers’ understanding of ‘health’ and the many factors that affect it, including the wider determinants of health in the discussion.The biopsychosocial model is not specifically mentioned; however, factors such as depression, age, social support, income, co-morbidities including diabetes and hypertension, and sex were measured and analysed.The study uses the Survey of Unmet Needs for data collection, which determines needs across impairment, activities of daily living, occupational activities, psychological needs, and community access. Data was analysed across the full spectrum of needs. |
As discussed in Chapter 3, qualitative research is not an absolute science. While not all research may need a framework or theory (particularly descriptive studies, outlined in Chapter 5), the use of a framework or theory can help to position the research questions, research processes and conclusions and implications within the relevant research paradigm. Theories and frameworks also help to bring to focus areas of the research problem that may not have been considered.
Qualitative Research – a practical guide for health and social care researchers and practitioners Copyright © 2023 by Tess Tsindos is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.
Making a conceptual framework, conceptual framework for dmft students, conceptual framework guide, example frameworks, additional framework resources.
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:
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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Home » Conceptual Framework – Types, Methodology and Examples
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Definition:
A conceptual framework is a structured approach to organizing and understanding complex ideas, theories, or concepts. It provides a systematic and coherent way of thinking about a problem or topic, and helps to guide research or analysis in a particular field.
A conceptual framework typically includes a set of assumptions, concepts, and propositions that form a theoretical framework for understanding a particular phenomenon. It can be used to develop hypotheses, guide empirical research, or provide a framework for evaluating and interpreting data.
In research, a conceptual framework is a theoretical structure that provides a framework for understanding a particular phenomenon or problem. It is a key component of any research project and helps to guide the research process from start to finish.
A conceptual framework provides a clear understanding of the variables, relationships, and assumptions that underpin a research study. It outlines the key concepts that the study is investigating and how they are related to each other. It also defines the scope of the study and sets out the research questions or hypotheses.
Types of Conceptual Framework are as follows:
A theoretical framework is an overarching set of concepts, ideas, and assumptions that help to explain and interpret a phenomenon. It provides a theoretical perspective on the phenomenon being studied and helps researchers to identify the relationships between different concepts. For example, a theoretical framework for a study on the impact of social media on mental health might draw on theories of communication, social influence, and psychological well-being.
A conceptual model is a visual or written representation of a complex system or phenomenon. It helps to identify the main components of the system and the relationships between them. For example, a conceptual model for a study on the factors that influence employee turnover might include factors such as job satisfaction, salary, work-life balance, and job security, and the relationships between them.
An empirical framework is based on empirical data and helps to explain a particular phenomenon. It involves collecting data, analyzing it, and developing a framework to explain the results. For example, an empirical framework for a study on the impact of a new health intervention might involve collecting data on the intervention’s effectiveness, cost, and acceptability to patients.
A descriptive framework is used to describe a particular phenomenon. It helps to identify the main characteristics of the phenomenon and to develop a vocabulary to describe it. For example, a descriptive framework for a study on different types of musical genres might include descriptions of the instruments used, the rhythms and beats, the vocal styles, and the cultural contexts of each genre.
An analytical framework is used to analyze a particular phenomenon. It involves breaking down the phenomenon into its constituent parts and analyzing them separately. This type of framework is often used in social science research. For example, an analytical framework for a study on the impact of race on police brutality might involve analyzing the historical and cultural factors that contribute to racial bias, the organizational factors that influence police behavior, and the psychological factors that influence individual officers’ behavior.
A conceptual framework for policy analysis is used to guide the development of policies or programs. It helps policymakers to identify the key issues and to develop strategies to address them. For example, a conceptual framework for a policy analysis on climate change might involve identifying the key stakeholders, assessing their interests and concerns, and developing policy options to mitigate the impacts of climate change.
Logical frameworks are used to plan and evaluate projects and programs. They provide a structured approach to identifying project goals, objectives, and outcomes, and help to ensure that all stakeholders are aligned and working towards the same objectives.
These frameworks are used to evaluate the effectiveness of programs or interventions. They provide a structure for identifying program goals, objectives, and outcomes, and help to measure the impact of the program on its intended beneficiaries.
These frameworks are used to analyze and evaluate organizational structures, processes, and performance. They provide a structured approach to understanding the relationships between different departments, functions, and stakeholders within an organization.
These frameworks are used to develop and implement strategic plans for organizations or businesses. They help to identify the key factors and stakeholders that will impact the success of the plan, and provide a structure for setting goals, developing strategies, and monitoring progress.
The components of a conceptual framework typically include:
Conceptual Framework Methodology is a research method that is commonly used in academic and scientific research to develop a theoretical framework for a study. It is a systematic approach that helps researchers to organize their thoughts and ideas, identify the variables that are relevant to their study, and establish the relationships between these variables.
Here are the steps involved in the conceptual framework methodology:
The first step is to identify the research problem or question that the study aims to answer. This involves identifying the gaps in the existing literature and determining what specific issue the study aims to address.
The second step involves conducting a thorough literature review to identify the existing theories, models, and frameworks that are relevant to the research question. This will help the researcher to identify the key concepts and variables that need to be considered in the study.
The next step is to define the key concepts and variables that are relevant to the study. This involves clearly defining the terms used in the study, and identifying the factors that will be measured or observed in the study.
Once the key concepts and variables have been identified, the researcher can develop a theoretical framework. This involves establishing the relationships between the key concepts and variables, and creating a visual representation of these relationships.
The final step is to test the theoretical framework using empirical data. This involves collecting and analyzing data to determine whether the relationships between the key concepts and variables that were identified in the framework are accurate and valid.
Some realtime Examples of Conceptual Framework are as follows:
Some of the applications of Conceptual Frameworks are as follows:
The purpose of a conceptual framework is to provide a theoretical foundation for understanding and analyzing complex phenomena. Conceptual frameworks help to:
There are several situations when it is appropriate to use a conceptual framework:
key characteristics of a conceptual framework are:
Advantages of the Conceptual Framework are as follows:
Limitations of Conceptual Framework are as follows:
Researcher, Academic Writer, Web developer
We all know that a research paper has plenty of concepts involved. However, a great deal of concepts makes your study confusing.
A conceptual framework ensures that the concepts of your study are organized and presented comprehensively. Let this article guide you on how to make the conceptual framework of your study.
Related: How to Write a Concept Paper for Academic Research
At a glance: free conceptual framework templates.
Too busy to create a conceptual framework from scratch? No problem. We’ve created templates for each conceptual framework so you can start on the right foot. All you need to do is enter the details of the variables. Feel free to modify the design according to your needs. Please read the main article below to learn more about the conceptual framework.
Conceptual framework template #2: input-process-output (ipo) model, conceptual framework template #3: concept map, what is a conceptual framework.
A conceptual framework shows the relationship between the variables of your study. It includes a visual diagram or a model that summarizes the concepts of your study and a narrative explanation of the model presented.
Imagine your study as a long journey with the research result as the destination. You don’t want to get lost in your journey because of the complicated concepts. This is why you need to have a guide. The conceptual framework keeps you on track by presenting and simplifying the relationship between the variables. This is usually done through the use of illustrations that are supported by a written interpretation.
Also, people who will read your research must have a clear guide to the variables in your study and where the research is heading. By looking at the conceptual framework, the readers can get the gist of the research concepts without reading the entire study.
Related: How to Write Significance of the Study (with Examples)
You can develop this through the researcher’s specific concept in the study. | Purely based on existing theories. |
The research problem is backed up by existing knowledge regarding things the researcher wants us to discover about the topic. | The research problem is supported using past relevant theories from existing literature. |
Based on acceptable and logical findings. | It is established with the help of the research paradigm. |
It emphasizes the historical background and the structure to fill in the knowledge gap. | A general set of ideas and theories is essential in writing this area. |
It highlights the fundamental concepts characterizing the study variable. | It emphasizes the historical background and the structure to fill the knowledge gap. |
Both of them show concepts and ideas of your study. The theoretical framework presents the theories, rules, and principles that serve as the basis of the research. Thus, the theoretical framework presents broad concepts related to your study. On the other hand, the conceptual framework shows a specific approach derived from the theoretical framework. It provides particular variables and shows how these variables are related.
Let’s say your research is about the Effects of Social Media on the Political Literacy of College Students. You may include some theories related to political literacy, such as this paper, in your theoretical framework. Based on this paper, political participation and awareness determine political literacy.
For the conceptual framework, you may state that the specific form of political participation and awareness you will use for the study is the engagement of college students on political issues on social media. Then, through a diagram and narrative explanation, you can show that using social media affects the political literacy of college students.
The conceptual framework has different types based on how the research concepts are organized 1 .
In this type of conceptual framework, the phenomena of your study are grouped into categories without presenting the relationship among them. The point of this conceptual framework is to distinguish the categories from one another.
In this conceptual framework, the relationship between the phenomena and variables of your study is presented. Using this conceptual framework implies that your research provides empirical evidence to prove the relationship between variables. This is the type of conceptual framework that is usually used in research studies.
In this conceptual framework, the relationship between phenomena and variables of your study is described using mathematical formulas. Also, the extent of the relationship between these variables is presented with specific quantities.
1. identify the important variables of your study.
There are two essential variables that you must identify in your study: the independent and the dependent variables.
An independent variable is a variable that you can manipulate. It can affect the dependent variable. Meanwhile, the dependent variable is the resulting variable that you are measuring.
You may refer to your research question to determine your research’s independent and dependent variables.
Suppose your research question is: “Is There a Significant Relationship Between the Quantity of Organic Fertilizer Used and the Plant’s Growth Rate?” The independent variable of this study is the quantity of organic fertilizer used, while the dependent variable is the plant’s growth rate.
Usually, the variables of a study have a direct relationship. If a change in one of your variables leads to a corresponding change in another, they might have this kind of relationship.
However, note that having a direct relationship between variables does not mean they already have a cause-and-effect relationship 2 . It takes statistical analysis to prove causation between variables.
Using our example earlier, the quantity of organic fertilizer may directly relate to the plant’s growth rate. However, we are not sure that the quantity of organic fertilizer is the sole reason for the plant’s growth rate changes.
Consider analyzing if other variables can affect the relationship between your independent and dependent variables 3 .
Now that you’ve identified the variables and their relationship, you may create a visual diagram summarizing them.
Usually, shapes such as rectangles, circles, and arrows are used for the model. You may create a visual diagram or model for your conceptual framework in different ways. The three most common models are the independent-dependent variable model, the input-process-output (IPO) model, and concept maps.
You may create this model by writing the independent and dependent variables inside rectangles. Then, insert a line segment between them, connecting the rectangles. This line segment indicates the direct relationship between these variables.
Below is a visual diagram based on our example about the relationship between organic fertilizer and a plant’s growth rate.
If you want to emphasize your research process, the input-process-output model is the appropriate visual diagram for your conceptual framework.
To create your visual diagram using the IPO model, follow these steps:
Presented below is the IPO model for our example above.
If you think the two models presented previously are insufficient to summarize your study’s concepts, you may use a concept map for your visual diagram.
A concept map is a helpful visual diagram if multiple variables affect one another. Let’s say your research is about Coping with the Remote Learning System: Anxiety Levels of College Students. Presented below is the concept map for the research’s conceptual framework:
Provide a brief explanation of your conceptual framework. State the essential variables, their relationship, and the research outcome.
Using the same example about the relationship between organic fertilizer and the growth rate of the plant, we can come up with the following explanation to accompany the conceptual framework:
Figure 1 shows the Conceptual Framework of the study. The quantity of the organic fertilizer used is the independent variable, while the plant’s growth is the research’s dependent variable. These two variables are directly related based on the research’s empirical evidence.
You can create your conceptual framework by following the steps discussed in the previous section. Note, however, that quantitative research has statistical analysis. Thus, you may use arrows to indicate a cause-and-effect relationship in your model. An arrow implies that your independent variable caused the changes in your dependent variable.
Usually, for quantitative research, the Input-Process-Output model is used as a visual diagram. Here is an example of a conceptual framework in quantitative research:
Research Topic : Level of Effectiveness of Corn (Zea mays) Silk Ethanol Extract as an Antioxidant
Again, you can follow the same step-by-step guide discussed previously to create a conceptual framework for qualitative research. However, note that you should avoid using one-way arrows as they may indicate causation . Qualitative research cannot prove causation since it uses only descriptive and narrative analysis to relate variables.
Here is an example of a conceptual framework in qualitative research:
Research Topic : Lived Experiences of Medical Health Workers During Community Quarantine
Presented below are some examples of conceptual frameworks.
Research Topic : Hypoglycemic Ability of Gabi (Colocasia esculenta) Leaf Extract in the Blood Glucose Level of Swiss Mice (Mus musculus)
Figure 1 presents the Conceptual Framework of the study. The quantity of gabi leaf extract is the independent variable, while the Swiss mice’s blood glucose level is the study’s dependent variable. This study establishes a direct relationship between these variables through empirical evidence and statistical analysis .
Research Topic : Level of Effectiveness of Using Social Media in the Political Literacy of College Students
Figure 1 shows the Conceptual Framework of the study. The input is the profile of the college students according to sex, year level, and the social media platform being used. The research process includes administering the questionnaires, tabulating students’ responses, and statistical data analysis and interpretation. The output is the effectiveness of using social media in the political literacy of college students.
Research Topic: Factors Affecting the Satisfaction Level of Community Inhabitants
Figure 1 presents a visual illustration of the factors that affect the satisfaction level of community inhabitants. As presented, environmental, societal, and economic factors influence the satisfaction level of community inhabitants. Each factor has its indicators which are considered in this study.
1. how can i create a conceptual framework in microsoft word.
First, click the Insert tab and select Shapes . You’ll see a wide range of shapes to choose from. Usually, rectangles, circles, and arrows are the shapes used for the conceptual framework.
Next, draw your selected shape in the document.
Insert the name of the variable inside the shape. You can do this by pointing your cursor to the shape, right-clicking your mouse, selecting Add Text , and typing in the text.
Repeat the same process for the remaining variables of your study. If you need arrows to connect the different variables, you can insert one by going to the Insert tab, then Shape, and finally, Lines or Block Arrows, depending on your preferred arrow style.
If you have used the Independent-Dependent Variable Model in creating your conceptual framework, start by telling your research’s variables. Afterward, explain the relationship between these variables. Example: “Using statistical/descriptive analysis of the data we have collected, we are going to show how the <state your independent variable> exhibits a significant relationship to <state your dependent variable>.”
On the other hand, if you have used an Input-Process-Output Model, start by explaining the inputs of your research. Then, tell them about your research process. You may refer to the Research Methodology in Chapter 3 to accurately present your research process. Lastly, explain what your research outcome is.
Meanwhile, if you have used a concept map, ensure you understand the idea behind the illustration. Discuss how the concepts are related and highlight the research outcome.
The research study’s conceptual framework is in Chapter 2, following the Review of Related Literature.
The Conceptual Framework is a summary of the concepts of your study where the relationship of the variables is presented. On the other hand, Literature Review is a collection of published studies and literature related to your study.
Suppose your research concerns the Hypoglycemic Ability of Gabi (Colocasia esculenta) Leaf Extract on Swiss Mice (Mus musculus). In your conceptual framework, you will create a visual diagram and a narrative explanation presenting the quantity of gabi leaf extract and the mice’s blood glucose level as your research variables. On the other hand, for the literature review, you may include this study and explain how this is related to your research topic.
You will use a two-way arrow in your conceptual framework if the variables of your study are interdependent. If variable A affects variable B and variable B also affects variable A, you may use a two-way arrow to show that A and B affect each other.
Suppose your research concerns the Relationship Between Students’ Satisfaction Levels and Online Learning Platforms. Since students’ satisfaction level determines the online learning platform the school uses and vice versa, these variables have a direct relationship. Thus, you may use two-way arrows to indicate that the variables directly affect each other.
Written by Jewel Kyle Fabula
in Career and Education , Juander How
Jewel Kyle Fabula is a Bachelor of Science in Economics student at the University of the Philippines Diliman. His passion for learning mathematics developed as he competed in some mathematics competitions during his Junior High School years. He loves cats, playing video games, and listening to music.
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Developing a conceptual framework in research. Step 1: Choose your research question. Step 2: Select your independent and dependent variables. Step 3: Visualize your cause-and-effect relationship. Step 4: Identify other influencing variables. Frequently asked questions about conceptual models.
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A meta-ethnographic design allows for all findings to be compiled, interpreted, and then restructured into an overarching theory or conceptual model (Britten et al., Citation 2002), ultimately permitting the development of a model specific to the Australian young carer experience that may be used as a conceptual platform to direct future research.
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