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How To Write A Theoretical Research Paper – Tips & Examples

Writing a theoretical research paper might seem tough, but it’s a great way to share your ideas and discoveries. This guide will show you step-by-step how to plan, write, and share your thoughts through a strong research paper.

We’ll give you tips on how to build a clear framework and how to explain your thoughts clearly. You’ll also see examples that help make everything easier to understand.

Whether you’re a student or a researcher, these tips will help you write a paper that’s well-organized and full of good information. Let’s get started and learn how to create a great research paper!

How To Write A Theoretical Research Paper

What is theoretical research.

Theoretical research might sound daunting, but once you dive into its essence, it is simple.

In theoretical research, you focus on creating and exploring theories, models, and frameworks to understand and explain phenomena.

As you do this, you may not necessarily rely on direct observation or data collection.

Theoretical Research

In theoretical research, everything begins with a hypothesis. This hypothesis acts as a springboard for developing a complete theoretical framework. 

In the context of a research paper, especially in the social sciences, this type of research does not involve direct interaction with the subject of study. Instead, it focuses on the analysis of the research problem through a conceptual lens.

This lens is crafted from existing theory and literature review, which guides the research process meticulously.

The framework you’ve chosen essentially acts as a map, outlining the research questions and the methodology to explore these questions without the immediate need for empirical data.

One might wonder about the practical applications of such research. Theoretical models are not just abstract concepts; they are used to help develop practical solutions and interventions.

In psychology, a theoretical model might be applied to periods of significant social change to predict outcomes and suggest interventions.

Theoretical research can seem isolated from real-world applications, yet it serves as the foundation upon which more practical, or empirical research builds.

Without it, the structure of science would lack depth and fail to reach the heights of innovation and discovery that we see today.

Theoretical vs Empirical Research

Aside from theoretical research, theres also another type of research – empirical. Understanding the differences may help you significantly.

Theoretical research delves deep into concepts and abstracts. Here, you build your study around existing theories, crafting a theoretical framework that drives your inquiry.

In the social sciences, this could mean developing a new hypothesis on the dynamics of social change based on key social science theories from literature.

The theoretical framework serves not just as a guide but as a lens through which you examine your research problem. It’s crafted from thorough literature reviews and is often enriched by engaging with the philosophy of research.

This framework outlines key variables and the relationships among them, setting the stage for potential validation or challenge through empirical methods.

On the other hand, empirical research demands direct interaction with the subject matter through data collection. 

Empirical research seeks to validate the theories posited by your theoretical framework. Here, the focus shifts to practical applications and direct observations, providing concrete answers to your research questions.

Theoretical Research

Both research types are vital, each feeding into the other:

  • Theoretical research frames the questions and potential explanations, while
  • Empirical research tests these frameworks against reality. 

Together, they form the complete cycle of the research process, crucial for any scholarly research project.

Writing a theoretical research paper can seem daunting, but with the right approach, you can tackle this intellectually stimulating task with confidence. Here’s a step-by-step guide:

Step 1: Understand Your Research Problem

Your journey begins with a deep understanding of the research problem you are investigating.

This involves identifying the gaps in existing literature and pinpointing the areas that require further exploration. You may want to spend some time reading around, or use AI tools to help simplifying your reading process.

Engage with key theories and recent studies to sharpen your focus. The research problem forms the nucleus of your paper, guiding every subsequent step.

Step 2: Develop a Robust Theoretical Framework

Constructing a theoretical framework is crucial. This framework is the scaffolding of your research, supporting your entire study.

It consists of concepts and theories borrowed from existing literature and uniquely integrated to address your research problem.

Remember, a strong framework not only guides your analysis but also helps explain the relationships among key variables in your study.

Step 3: Literature Review

Your literature review should do more than summarize existing research; it should critically engage with current theories and frameworks, highlighting their strengths and weaknesses.

This section is not just a backdrop; it’s an active participant in shaping your research narrative. Organize it into a logical framework that systematically addresses the research questions posed by your study.

Literature review used to take a long time to complete. With the right tools however, things can be a lot easier:

Step 4: Outline Your Research Design

While theoretical research does not involve empirical data collection, the design of your research is still paramount. Detail the methods you use to construct your theoretical framework.

Discuss the “theory-building research methods” that you applied, such as conceptual analysis or deductive reasoning, which help clarify and test the theoretical assumptions of your study.

Step 5: Develop the Theory or Conceptual Framework

Here’s where you get to argue your point. Present your theoretical or conceptual contributions. Build upon previous research but introduce your innovative perspective.

Support each argument with robust reasoning, examples from pertinent research, and references to foundational texts.

This is also where you validate or challenge theoretical assumptions, demonstrating the novelty and relevance of your framework.

Step 6: Hypothetical Scenarios or Thought Experiments

Illustrate your concepts through hypothetical scenarios or thought experiments.

These are essential for demonstrating how your theoretical model applies to real-world situations or specific periods, even if your paper is purely conceptual.

This step is particularly engaging, as it transforms abstract concepts into tangible insights.

Step 7: Discussion

Analyse the implications of your theoretical developments. How do they: 

  • Impact existing theories? or
  • What do they mean for future research? 

This part of your paper is crucial for engaging with the scholarly community. It’s where you:

  • interpret your findings,
  • discuss their significance, and
  • propose how they can guide future empirical or theoretical research.

Step 8: Craft Your Discussion Section

The discussion section is your chance to dive deep into the analysis of your theoretical propositions.

Evaluate the strengths and limitations of your framework, discuss its potential applications, and how it challenges or supports existing paradigms.

This section is not just a summary; it’s an insightful discourse that positions your research within the broader academic conversation.

Theoretical Research

Step 9: Concluding Thoughts

Summarize the key elements of your research, reinforcing the significance of your findings and their implications for further study.

Restate the research problem and reflect on how your work addresses it effectively.

Here, you tie all the sections together, reinforcing the coherence and impact of your theoretical investigation.

Step 10: Reference Section

No academic paper is complete without a thorough reference section. List all the sources you’ve cited throughout your paper.

This is crucial for academic integrity and allows other researchers to trace your intellectual journey. Make sure your referencing follows the specific style guide recommended by your field or university.

There are many AI tools that can help with references , so make sure you leverage technology to help you here.

By following these steps, you ensure that your theoretical research paper is not only structurally sound but also intellectually robust and poised to make a significant contribution to academic knowledge.

Remember, a well-crafted theoretical paper influences ongoing debates and paves the way for new inquiries and methodologies in the field.

Tips When Writing A Theoretical Research Paper

If you are looking to start writing your first theoretical research paper, here are some tips to help make the process easier:

Establish a Robust Theoretical Framework

Your research should start with a solid theoretical framework that consists of concepts and theories relevant to the research problem you are investigating.

If your topic concerns social media’s influence on mental health, you might integrate theories from psychology and communications. This framework not only shapes your study but also helps to interpret your findings.

Conduct a Thorough Literature Review

Dive deep into existing theory and scholarly research, examining studies that both support and contradict your hypothesis.

This comprehensive review not only furnishes you with a nuanced understanding of your topic but also positions your research within the broader academic conversation. 

Formulate Clear Research Questions

Theoretical research thrives on well-defined research questions. These questions should be rooted in the theoretical framework you’ve chosen and aim to explore the key variables and their relationships in your study.

Precision here will guide your entire research process, ensuring that every part of your paper contributes toward answering these questions.

Choose Appropriate Research Methods

Deciding on the right research methods is crucial. Ensure that the techniques you select align well with your theoretical assumptions and research questions, whether you opt for:

  • qualitative research,
  • intervention research, or
  • a mixed methods approach, 

This alignment is necessary to gather valid and reliable data that supports or challenges your theoretical model.

Apply a Conceptual Framework If Needed

Sometimes, a single theoretical framework may not suffice, especially in interdisciplinary research. In such cases, developing a conceptual framework that integrates multiple theories could be more effective.

This approach was applied in a study about the educational split between Southern and Northern Sudan, where political science and educational theory provided a richer understanding of the regional disparities.

Discuss Methodology Transparently

When you write the discussion part of your paper, be transparent about your methodology. Explaining the meaning behind your choice of research design and how it’s used for your particular study adds credibility to your work.

It shows that your research methods and theoretical foundation are not just arbitrarily chosen but are thoughtfully aligned with the overall objectives of your research.

Theoretical Research

Interpret Results Within the Theoretical Framework

Finally, when presenting your results, always relate them back to the theoretical framework you set out with.

This not only reinforces the relevance of your findings within the academic field but also helps in validating or challenging theoretical assumptions. 

It’s here in the discussion section where you can engage deeply with the framework, proposing modifications or confirming its validity based on your findings.

Theoretical Research Paper: Not Rocket Science

Writing a theoretical research paper requires a meticulous blend of theory, critical thinking, and structured methodology.

By following the outlined steps, from developing a strong theoretical framework to effectively discussing your findings, you equip yourself with the tools to produce insightful and scholarly work.

Remember, the strength of your paper lies in how well you can integrate theory with your analytical insights, paving the way for further research and contributing to your field’s body of knowledge.

theory research paper examples

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31 Theoretical Framework Examples

theoretical framework examples and definition, explained below

A theoretical framework is a theory that can be applied to interpret and understand data in your research study.

A useful working definition comes from Connaway and Radford (2021):

“…a theoretical framework utilizes theory/theories and their constituent elements as the presumed ‘working model’ that drives the investigation and analysis of a social phenomenon.” (Connaway & Radford, 2021)

There are a range of theories that each look at the world through different lenses. Each will shape how we look at and interpret our data.

For example:

  • Feminists look at the world through the lens of power and oppression of women. 
  • Functionalists look at the world and see how the concepts and ideas in our societies have a role in maintaining social order. 
  • Behaviorists look at the world and see how incentives – rewards and punishments – shape human behavior .
  • Postmodernists look at the world and see how language and discourse shape belief systems .

When selecting a theoretical framework, we’re making a conscious decision about our approach and focus. For example, ‘feminism’ and ‘ critical theory ’ are theoretical frameworks that will focus on how power functions in society. This might be useful in a sociological or cultural studies analysis. But they won’t be so useful in a study of classroom learning, which might best be served by ‘behaviorism’ or ‘constructivism’ as your theoretical frames.

Theoretical Framework Examples

1. constructivism.

Scholarly Fields: Psychology, Education

Constructivism is a theory in educational psychology about how people think and learn.

It states that people construct their own understanding and knowledge of the world through experiencing things and reflecting on those experiences.

When new information challenges past beliefs, cognitive dissonance occurs, which is overcome through processes of assimilation and accommodation until we develop a new understanding of what we observe, which is ideally a closer approximation of the truth.

It challenges the previously dominant concept in psychology, behaviorism , that states we learn best through rewards, punishments, and forming associations between concepts.

Example of Constructivism in the Classroom

A researcher examines how students learn about the concept of gravity in a physics classroom. The study would observe the process as the students first encounter basic information, then explore related concepts through hands-on experiments and classroom discussions. The focus of the study would be on how students construct their understanding utilizing prior knowledge and evolving their understanding through experience and reflection.

2. Behaviorism

Behaviorism is a learning theory in behavioral psychology that holds that behaviors are learned through association, trial and error.

This theory takes a principled stance that learning needs to be measurable . Inner cognitive states are not taken into account because thoughts are, to behaviorists, not possible to be measured. Therefore, the theory suggests that behavior must be studied in a systematic and observable manner with no consideration of internal mental states.

A famous behaviorist study is Pavlov’s study of how his dog learned to salivate when he heard a bell ringing, because the dog associated the bell with food. This is now known as a Pavlovian response .

Similarly, B.F. Skinner found that rewarding and punishing rats can lead them into learning how to navigate mazes at faster and faster speeds, demonstrating the observable effects of rewards and punishments in learning.

If you were to use Behaviorism as your theoretical framework, it would likely inform both your research question – where you may want to focus on a situation where you will measure changes in behaviors through rewards and punishments – as well as your research methods, where you’ll likely employ a quantitative research method that measures changes in behaviors, such as application of pre-tests and post-tests in an educational environment.

Example of a Study Using a Behaviorist Theoretical Framework

In a study using a behaviorist framework, a psychologist might investigate the effects of positive reinforcement on the classroom behavior of elementary school children. The experiment could involve implementing a rewards system for a selected behavior, such as raising a hand before speaking, and observing any changes in the frequency of this behavior. The behaviorist theoretical framework would guide the researcher’s expectation that the reinforcement (reward) would increase the occurrence of the desired behavior.

3. Psychoanalytic Theory

Scholarly Fields: Psychology, Social Work

Psychoanalytic and psychodynamic theories , originally proposed by Sigmund Freud, posit that human behavior is the result of the interactions among three component parts of the mind: the id, ego, and superego .

This theory might be used by a psychology student in their research project where they test patients’ behaviors, comparing them to Freud’s (or, for that matter, Carl Jung’s) theoretical ideas about stages of development, interaction between id, ego, and superego, or the power of the subconscious to affect thoughts and behavior.

This theoretical frame is rarely used today, although it acts as a foundation to subsequent theories that are held in higher esteem, such as psychosocial theory, explained next.

Example of a Study Using a Psychoanalytic Theoretical Framework

A researcher using a psychoanalytic framework might study the influence of early childhood experiences on adult relationship patterns. Through in-depth interviews, the study would examine participants’ recollections of their early relationships with their parents and the unconscious conflicts and defenses that may have arisen from these experiences. The study would then look for patterns in the participants’ current relationships that might reflect these early experiences and defense mechanisms.

4. Psychosocial Theory

Psychosocial theory builds upon (and, in some ways, rejects) Freud’s psychoanalytic theory. This theory maintains that subconscious thoughts affect behavior, but focuses on how early social interactions affect outcomes later in life.

Erik Erikson, a central figure in the history of psychosocial theory, theorized that humans go through roughly set-in-stone stages of life, where in each stage, we must overcome challenges like industry vs inferiority (where we need to learn to embrace an industrious and creative personality or else risk having an inferiority complex later in life).

Psychosocial theory can be applied in the study of how people develop psychological complexes in their lives and helps them overcome them by exploring the origins of these complexes.

Example of a Study Using a Psychosocial Theoretical Framework

A study based on a psychosocial framework could explore individual patients’ core challenges and relate them to Erikson’s psychosocial states. The psychosocial theory would guide the interpretation of the results, suggesting that past events, such as being berated by parents, can lead to increased psychological stress.

5. Feminist Theory

Scholarly Fields: Sociology, Cultural Studies, and more

Feminism is a social and political framework that analyzes the status of women and men in society with the purpose of using that knowledge to promote women’s rights and interests.

Generally, a person applying a feminist framework would have at the core of their research question an interest in how women are positioned in society in relation to men, and how their lives and personal agency is shaped and structured by a manufactured gender hirearchy.

Of course, within Feminism, there are a range of conflicting views and perspectives. The intersectional feminists are highly concerned with how black, working-class, and other marginalized women face compounding disadvantages; whereas other feminists might focus exclusively on gender in the workforce, or even how women’s rights intersect with, and are possibly impacted by, trans* rights.

Example of a Study Using a Feminist Theoretical Framework

A researcher could use a feminist theoretical framework to investigate gender bias in workplace promotions within a large corporation. The study might involve collecting and analyzing qualitative data and quantitative data on promotion rates, gender ratios in upper management, and employee experiences related to promotion opportunities. From a feminist perspective, the study would aim to identify any potential systemic inequalities and their impact on women’s career trajectories.

7. Conflict Theory

Scholarly Fields: Sociology, Cultural Studies

Conflict theory is a framework derived from Marxism’s teachings about the operation of power through economic and cultural apparatuses in a society.

It generally works to highlight the role of coercion and power, particularly as it relates to social class and possession of economic capital .

Generally, this approach will involve an examination of the ways the economy, policy documents, media, and so forth, distribute power in a capitalist context . Other conflict theorists might examine non-capitalist contexts, such as workers’ cooperatives with the intention of exploring possibilities for economic and cultural life in a post-capitalist society.

Example of a Study Using a Conflict Theory Framework

A sociologist might utilize conflict theory to study wealth and income disparities within a specific urban community. This study might involve the analysis of economic data, alongside a consideration of social and political structures in the community. The conflict theory would guide an understanding of how wealth and power disparities contribute to social tensions and conflict.

8. Functionalism

Scholarly Fields: Sociology (see the separate concept: Functionalism in Psychology )

Functionalism , based on the works of Durkheim. Merton and their contemporaries, is an approach to sociology that assumes each aspect of society is interdependent and contributes to society’s functioning as a whole.

Functionalism often leans on the analogy of the human body to describe society. Just as the human body has organs which each have a purpose (i.e. a function), each social institution also serves a function to support the whole.

So, a functionalist theoretical framework aims to examine social institutions and social structures (e.g. economic conditions, family relationships, religious practices, media outlets, etc.) to explore how they do or do not fulfill their purposes.

Building on Merton’s work in functionalism, many functionalist studies in sociology also explore how institutions have both manifest functions (intended purposes and consequences) and latent functions (unintended purposes and functions).

Key social institutions explored in functionalism in sociology include: the education system, hospitals, workplaces, factories, religion, and families.

Example of a Study Using a Functionalist Theoretical Framework

A  key question in functionalism is: “What is the role of this institution in upholding society, the status quo, and social hierarchies?” Following this approach, an educational researcher using a functionalist framework might study the role of schools in preparing students for various roles in society. They might collect data on curriculum, teaching methods, student performance, and post-graduation outcomes. Using a functionalist lens, the researcher would be interested in how each aspect of the education system contributes to the socialization process and preparation of individuals for adulthood and societal roles.

9. Symbolic Interactionism

Scholarly Fields: Sociology (see: symbolic interactionism in sociology )

The symbolic interaction theory states that the meaning we ascribe to objects, processes, ideas, concepts, and systems are subjective. They are constructed through language, words, and communication, and differ from context to context and culture to culture.

Symbolic interactionism is very common in qualitative research in the social sciences, especially work that involves interviews as a research method.

Symbolic interaction is a theoretical frame that challenges that of functionalism by focusing on microsociology rather than macrosociology .

Whereas functionalists are generally concerned with how social structures, institutions, and concepts have meaning on a social level , symbolic interactionists are concerned with how people make their own meanings of things in their surroundings.

For example, symbolic interactionism argues that people derive their understanding of their world through social interactions and personal experiences and interpretations.

Example of a Study Using a Symbolic Interactionist Framework

A researcher applying symbolic interactionist theory might investigate how medical patients and doctors negotiate understandings of illness during medical consultations. The study would likely involve observations and perhaps recordings of consultations, focusing on the language and symbols used by both parties. A symbolic interactionist approach would highlight how shared meanings and interpretations are built in these interactions, impacting the patient-doctor relationship and treatment decisions.

10. Postmodernism

Scholarly Fields: Sociology, Cultural Studies, Media Studies

Postmodern theory critiques social narratives, beliefs, and definitions, arguing that they’re historically, culturally and socially situated.

A key concept in postmodernism is discourse , which refers to how knowledge is constructed through language. The ways people talk about something constructs normative ideas about it (i.e. ideas, like gender, a socially constructed).

Postmodernists are therefore skeptical of truth-claims made about anything. Their research aims to demonstrate how truth-claims, such as “men are natural-born leaders” emerge through language and social narratives that normalize such as belief.

Postmodernism’s role, therefore. Is to highlight the relativity of truths and social narratives propagated by media and culture.

Example of a Study Using a Postmodern Theoretical Framework

A researcher using a postmodernist framework might conduct a study analyzing the portrayal of reality in contemporary television news. They might examine the selection and presentation of stories, the use of imagery and language, and the underlying assumptions about truth and objectivity. From a postmodernist perspective, the study would not be looking for an objective reality represented in the news but would explore how the news constructs multiple, subjective realities.

List of Additional Theoretical Frameworks

In communication studies.

  • Uses and Gratifications Theory
  • Agenda-Setting Theory
  • Spiral of Silence Theory
  • Cultivation Theory
  • Muted Group Theory

In Psychology

  • Cognitive Development Theory
  • Evolutionary psychology
  • Socio-cultural Theory

In Sociology

  • Social Action Theory
  • Poststructuralism
  • Labeling Theory
  • Strain Theory
  • Differential Opportunity Theory
  • Differential Association Theory
  • Postcolonialism

In Economics

  • Keynesian Economics
  • Neoclassical Economics
  • Marxist Economics
  • Behavioral Economics

Choosing a theoretical framework is an early step in developing your research study. Once it is selected, it will go on to inform your research methodology and methods of data collection and analysis. Furthermore, in your analysis chapters of your dissertation, you will be regularly leaning upon the ideas and concepts within your chosen theoretical framework to shed light on your observations. Academic research that uses theoretical frameworks is all about using theory to interpret the world and shed new light on phenomena. With theory, we can develop a cohesive understanding of our subjects and construct detailed, well-thought-out arguments throughout our work.

Anfara Jr, V. A., & Mertz, N. T. (Eds.). (2014). Theoretical frameworks in qualitative research . Sage publications.

Borsboom, D., van der Maas, H. L., Dalege, J., Kievit, R. A., & Haig, B. D. (2021). Theory construction methodology: A practical framework for building theories in psychology.  Perspectives on Psychological Science ,  16 (4), 756-766.

Connaway, L. S., & Radford, M. L. (2016). Research methods in library and information science . Los Angeles: ABC-CLIO.

Given, L. M. (Ed.). (2008). The Sage encyclopedia of qualitative research methods . Sage publications.

Gelso, C. J. (2006). Applying theories to research.  The psychology research handbook: A guide for graduate students and research assistants ,  455 .

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Home » Theoretical Framework – Types, Examples and Writing Guide

Theoretical Framework – Types, Examples and Writing Guide

Table of Contents

Theoretical Framework

Theoretical Framework

Definition:

Theoretical framework refers to a set of concepts, theories, ideas , and assumptions that serve as a foundation for understanding a particular phenomenon or problem. It provides a conceptual framework that helps researchers to design and conduct their research, as well as to analyze and interpret their findings.

In research, a theoretical framework explains the relationship between various variables, identifies gaps in existing knowledge, and guides the development of research questions, hypotheses, and methodologies. It also helps to contextualize the research within a broader theoretical perspective, and can be used to guide the interpretation of results and the formulation of recommendations.

Types of Theoretical Framework

Types of Types of Theoretical Framework are as follows:

Conceptual Framework

This type of framework defines the key concepts and relationships between them. It helps to provide a theoretical foundation for a study or research project .

Deductive Framework

This type of framework starts with a general theory or hypothesis and then uses data to test and refine it. It is often used in quantitative research .

Inductive Framework

This type of framework starts with data and then develops a theory or hypothesis based on the patterns and themes that emerge from the data. It is often used in qualitative research .

Empirical Framework

This type of framework focuses on the collection and analysis of empirical data, such as surveys or experiments. It is often used in scientific research .

Normative Framework

This type of framework defines a set of norms or values that guide behavior or decision-making. It is often used in ethics and social sciences.

Explanatory Framework

This type of framework seeks to explain the underlying mechanisms or causes of a particular phenomenon or behavior. It is often used in psychology and social sciences.

Components of Theoretical Framework

The components of a theoretical framework include:

  • Concepts : The basic building blocks of a theoretical framework. Concepts are abstract ideas or generalizations that represent objects, events, or phenomena.
  • Variables : These are measurable and observable aspects of a concept. In a research context, variables can be manipulated or measured to test hypotheses.
  • Assumptions : These are beliefs or statements that are taken for granted and are not tested in a study. They provide a starting point for developing hypotheses.
  • Propositions : These are statements that explain the relationships between concepts and variables in a theoretical framework.
  • Hypotheses : These are testable predictions that are derived from the theoretical framework. Hypotheses are used to guide data collection and analysis.
  • Constructs : These are abstract concepts that cannot be directly measured but are inferred from observable variables. Constructs provide a way to understand complex phenomena.
  • Models : These are simplified representations of reality that are used to explain, predict, or control a phenomenon.

How to Write Theoretical Framework

A theoretical framework is an essential part of any research study or paper, as it helps to provide a theoretical basis for the research and guide the analysis and interpretation of the data. Here are some steps to help you write a theoretical framework:

  • Identify the key concepts and variables : Start by identifying the main concepts and variables that your research is exploring. These could include things like motivation, behavior, attitudes, or any other relevant concepts.
  • Review relevant literature: Conduct a thorough review of the existing literature in your field to identify key theories and ideas that relate to your research. This will help you to understand the existing knowledge and theories that are relevant to your research and provide a basis for your theoretical framework.
  • Develop a conceptual framework : Based on your literature review, develop a conceptual framework that outlines the key concepts and their relationships. This framework should provide a clear and concise overview of the theoretical perspective that underpins your research.
  • Identify hypotheses and research questions: Based on your conceptual framework, identify the hypotheses and research questions that you want to test or explore in your research.
  • Test your theoretical framework: Once you have developed your theoretical framework, test it by applying it to your research data. This will help you to identify any gaps or weaknesses in your framework and refine it as necessary.
  • Write up your theoretical framework: Finally, write up your theoretical framework in a clear and concise manner, using appropriate terminology and referencing the relevant literature to support your arguments.

Theoretical Framework Examples

Here are some examples of theoretical frameworks:

  • Social Learning Theory : This framework, developed by Albert Bandura, suggests that people learn from their environment, including the behaviors of others, and that behavior is influenced by both external and internal factors.
  • Maslow’s Hierarchy of Needs : Abraham Maslow proposed that human needs are arranged in a hierarchy, with basic physiological needs at the bottom, followed by safety, love and belonging, esteem, and self-actualization at the top. This framework has been used in various fields, including psychology and education.
  • Ecological Systems Theory : This framework, developed by Urie Bronfenbrenner, suggests that a person’s development is influenced by the interaction between the individual and the various environments in which they live, such as family, school, and community.
  • Feminist Theory: This framework examines how gender and power intersect to influence social, cultural, and political issues. It emphasizes the importance of understanding and challenging systems of oppression.
  • Cognitive Behavioral Theory: This framework suggests that our thoughts, beliefs, and attitudes influence our behavior, and that changing our thought patterns can lead to changes in behavior and emotional responses.
  • Attachment Theory: This framework examines the ways in which early relationships with caregivers shape our later relationships and attachment styles.
  • Critical Race Theory : This framework examines how race intersects with other forms of social stratification and oppression to perpetuate inequality and discrimination.

When to Have A Theoretical Framework

Following are some situations When to Have A Theoretical Framework:

  • A theoretical framework should be developed when conducting research in any discipline, as it provides a foundation for understanding the research problem and guiding the research process.
  • A theoretical framework is essential when conducting research on complex phenomena, as it helps to organize and structure the research questions, hypotheses, and findings.
  • A theoretical framework should be developed when the research problem requires a deeper understanding of the underlying concepts and principles that govern the phenomenon being studied.
  • A theoretical framework is particularly important when conducting research in social sciences, as it helps to explain the relationships between variables and provides a framework for testing hypotheses.
  • A theoretical framework should be developed when conducting research in applied fields, such as engineering or medicine, as it helps to provide a theoretical basis for the development of new technologies or treatments.
  • A theoretical framework should be developed when conducting research that seeks to address a specific gap in knowledge, as it helps to define the problem and identify potential solutions.
  • A theoretical framework is also important when conducting research that involves the analysis of existing theories or concepts, as it helps to provide a framework for comparing and contrasting different theories and concepts.
  • A theoretical framework should be developed when conducting research that seeks to make predictions or develop generalizations about a particular phenomenon, as it helps to provide a basis for evaluating the accuracy of these predictions or generalizations.
  • Finally, a theoretical framework should be developed when conducting research that seeks to make a contribution to the field, as it helps to situate the research within the broader context of the discipline and identify its significance.

Purpose of Theoretical Framework

The purposes of a theoretical framework include:

  • Providing a conceptual framework for the study: A theoretical framework helps researchers to define and clarify the concepts and variables of interest in their research. It enables researchers to develop a clear and concise definition of the problem, which in turn helps to guide the research process.
  • Guiding the research design: A theoretical framework can guide the selection of research methods, data collection techniques, and data analysis procedures. By outlining the key concepts and assumptions underlying the research questions, the theoretical framework can help researchers to identify the most appropriate research design for their study.
  • Supporting the interpretation of research findings: A theoretical framework provides a framework for interpreting the research findings by helping researchers to make connections between their findings and existing theory. It enables researchers to identify the implications of their findings for theory development and to assess the generalizability of their findings.
  • Enhancing the credibility of the research: A well-developed theoretical framework can enhance the credibility of the research by providing a strong theoretical foundation for the study. It demonstrates that the research is based on a solid understanding of the relevant theory and that the research questions are grounded in a clear conceptual framework.
  • Facilitating communication and collaboration: A theoretical framework provides a common language and conceptual framework for researchers, enabling them to communicate and collaborate more effectively. It helps to ensure that everyone involved in the research is working towards the same goals and is using the same concepts and definitions.

Characteristics of Theoretical Framework

Some of the characteristics of a theoretical framework include:

  • Conceptual clarity: The concepts used in the theoretical framework should be clearly defined and understood by all stakeholders.
  • Logical coherence : The framework should be internally consistent, with each concept and assumption logically connected to the others.
  • Empirical relevance: The framework should be based on empirical evidence and research findings.
  • Parsimony : The framework should be as simple as possible, without sacrificing its ability to explain the phenomenon in question.
  • Flexibility : The framework should be adaptable to new findings and insights.
  • Testability : The framework should be testable through research, with clear hypotheses that can be falsified or supported by data.
  • Applicability : The framework should be useful for practical applications, such as designing interventions or policies.

Advantages of Theoretical Framework

Here are some of the advantages of having a theoretical framework:

  • Provides a clear direction : A theoretical framework helps researchers to identify the key concepts and variables they need to study and the relationships between them. This provides a clear direction for the research and helps researchers to focus their efforts and resources.
  • Increases the validity of the research: A theoretical framework helps to ensure that the research is based on sound theoretical principles and concepts. This increases the validity of the research by ensuring that it is grounded in established knowledge and is not based on arbitrary assumptions.
  • Enables comparisons between studies : A theoretical framework provides a common language and set of concepts that researchers can use to compare and contrast their findings. This helps to build a cumulative body of knowledge and allows researchers to identify patterns and trends across different studies.
  • Helps to generate hypotheses: A theoretical framework provides a basis for generating hypotheses about the relationships between different concepts and variables. This can help to guide the research process and identify areas that require further investigation.
  • Facilitates communication: A theoretical framework provides a common language and set of concepts that researchers can use to communicate their findings to other researchers and to the wider community. This makes it easier for others to understand the research and its implications.

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A guide to writing a theoretical research paper

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This is a guide to help (my) students to write better papers (as well as better research plans and outlines). If you are a teacher, feel free to use it in any way you like (including "stealing" from it). Feedback would be highly appreciated. If you are a student and you found this guide helpful, feel free to share it with others. This guide is formatted to be printed as an A5 booklet.

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Very often, little attention is paid to how students have to prepare and understand the processes of conducting research and mostly young scholars struggle in the early stages in the university career about what is required of them and how to present their proposal to their supervisors. Keeping this in mind, the purpose of this guidebook is to offer a critical and practical mind map introduction to research writing to assist researchers in creating an appropriate design for their research studies and to offer the simplest guide of creating a logical orientated research. The book is made using simple graphs to explain what is expected of researchers at each stage of their research writing to enable them to understand if any a missing link when conducting their research. The book is mostly content mind-map and figures to make it easier for the researcher to understand what is expected of them from the stages of their research to completion. It presents the basic tenets of methodological steps so that the researcher can become familiar with how to conduct research and what techniques to use in their choice for research writing.

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Chapter 4 Theories in Scientific Research

As we know from previous chapters, science is knowledge represented as a collection of “theories” derived using the scientific method. In this chapter, we will examine what is a theory, why do we need theories in research, what are the building blocks of a theory, how to evaluate theories, how can we apply theories in research, and also presents illustrative examples of five theories frequently used in social science research.

Theories are explanations of a natural or social behavior, event, or phenomenon. More formally, a scientific theory is a system of constructs (concepts) and propositions (relationships between those constructs) that collectively presents a logical, systematic, and coherent explanation of a phenomenon of interest within some assumptions and boundary conditions (Bacharach 1989). [1]

Theories should explain why things happen, rather than just describe or predict. Note that it is possible to predict events or behaviors using a set of predictors, without necessarily explaining why such events are taking place. For instance, market analysts predict fluctuations in the stock market based on market announcements, earnings reports of major companies, and new data from the Federal Reserve and other agencies, based on previously observed correlations . Prediction requires only correlations. In contrast, explanations require causations , or understanding of cause-effect relationships. Establishing causation requires three conditions: (1) correlations between two constructs, (2) temporal precedence (the cause must precede the effect in time), and (3) rejection of alternative hypotheses (through testing). Scientific theories are different from theological, philosophical, or other explanations in that scientific theories can be empirically tested using scientific methods.

Explanations can be idiographic or nomothetic. Idiographic explanations are those that explain a single situation or event in idiosyncratic detail. For example, you did poorly on an exam because: (1) you forgot that you had an exam on that day, (2) you arrived late to the exam due to a traffic jam, (3) you panicked midway through the exam, (4) you had to work late the previous evening and could not study for the exam, or even (5) your dog ate your text book. The explanations may be detailed, accurate, and valid, but they may not apply to other similar situations, even involving the same person, and are hence not generalizable. In contrast, nomothetic explanations seek to explain a class of situations or events rather than a specific situation or event. For example, students who do poorly in exams do so because they did not spend adequate time preparing for exams or that they suffer from nervousness, attention-deficit, or some other medical disorder. Because nomothetic explanations are designed to be generalizable across situations, events, or people, they tend to be less precise, less complete, and less detailed. However, they explain economically, using only a few explanatory variables. Because theories are also intended to serve as generalized explanations for patterns of events, behaviors, or phenomena, theoretical explanations are generally nomothetic in nature.

While understanding theories, it is also important to understand what theory is not. Theory is not data, facts, typologies, taxonomies, or empirical findings. A collection of facts is not a theory, just as a pile of stones is not a house. Likewise, a collection of constructs (e.g., a typology of constructs) is not a theory, because theories must go well beyond constructs to include propositions, explanations, and boundary conditions. Data, facts, and findings operate at the empirical or observational level, while theories operate at a conceptual level and are based on logic rather than observations.

There are many benefits to using theories in research. First, theories provide the underlying logic of the occurrence of natural or social phenomenon by explaining what are the key drivers and key outcomes of the target phenomenon and why, and what underlying processes are responsible driving that phenomenon. Second, they aid in sense-making by helping us synthesize prior empirical findings within a theoretical framework and reconcile contradictory findings by discovering contingent factors influencing the relationship between two constructs in different studies. Third, theories provide guidance for future research by helping identify constructs and relationships that are worthy of further research. Fourth, theories can contribute to cumulative knowledge building by bridging gaps between other theories and by causing existing theories to be reevaluated in a new light.

However, theories can also have their own share of limitations. As simplified explanations of reality, theories may not always provide adequate explanations of the phenomenon of interest based on a limited set of constructs and relationships. Theories are designed to be simple and parsimonious explanations, while reality may be significantly more complex. Furthermore, theories may impose blinders or limit researchers’ “range of vision,” causing them to miss out on important concepts that are not defined by the theory.

Building Blocks of a Theory

David Whetten (1989) suggests that there are four building blocks of a theory: constructs, propositions, logic, and boundary conditions/assumptions. Constructs capture the “what” of theories (i.e., what concepts are important for explaining a phenomenon), propositions capture the “how” (i.e., how are these concepts related to each other), logic represents the “why” (i.e., why are these concepts related), and boundary conditions/assumptions examines the “who, when, and where” (i.e., under what circumstances will these concepts and relationships work). Though constructs and propositions were previously discussed in Chapter 2, we describe them again here for the sake of completeness.

Constructs are abstract concepts specified at a high level of abstraction that are chosen specifically to explain the phenomenon of interest. Recall from Chapter 2 that constructs may be unidimensional (i.e., embody a single concept), such as weight or age, or multi-dimensional (i.e., embody multiple underlying concepts), such as personality or culture. While some constructs, such as age, education, and firm size, are easy to understand, others, such as creativity, prejudice, and organizational agility, may be more complex and abstruse, and still others such as trust, attitude, and learning, may represent temporal tendencies rather than steady states. Nevertheless, all constructs must have clear and unambiguous operational definition that should specify exactly how the construct will be measured and at what level of analysis (individual, group, organizational, etc.). Measurable representations of abstract constructs are called variables . For instance, intelligence quotient (IQ score) is a variable that is purported to measure an abstract construct called intelligence. As noted earlier, scientific research proceeds along two planes: a theoretical plane and an empirical plane. Constructs are conceptualized at the theoretical plane, while variables are operationalized and measured at the empirical (observational) plane. Furthermore, variables may be independent, dependent, mediating, or moderating, as discussed in Chapter 2. The distinction between constructs (conceptualized at the theoretical level) and variables (measured at the empirical level) is shown in Figure 4.1.

Flowchart showing the theoretical plane with construct A leading to a proposition of construct B, then the emprical plane below with the independent variable leading to a hypothesis about the dependent variable.

Figure 4.1. Distinction between theoretical and empirical concepts

Propositions are associations postulated between constructs based on deductive logic. Propositions are stated in declarative form and should ideally indicate a cause-effect relationship (e.g., if X occurs, then Y will follow). Note that propositions may be conjectural but MUST be testable, and should be rejected if they are not supported by empirical observations. However, like constructs, propositions are stated at the theoretical level, and they can only be tested by examining the corresponding relationship between measurable variables of those constructs. The empirical formulation of propositions, stated as relationships between variables, is called hypotheses . The distinction between propositions (formulated at the theoretical level) and hypotheses (tested at the empirical level) is depicted in Figure 4.1.

The third building block of a theory is the logic that provides the basis for justifying the propositions as postulated. Logic acts like a “glue” that connects the theoretical constructs and provides meaning and relevance to the relationships between these constructs. Logic also represents the “explanation” that lies at the core of a theory. Without logic, propositions will be ad hoc, arbitrary, and meaningless, and cannot be tied into a cohesive “system of propositions” that is the heart of any theory.

Finally, all theories are constrained by assumptions about values, time, and space, and boundary conditions that govern where the theory can be applied and where it cannot be applied. For example, many economic theories assume that human beings are rational (or boundedly rational) and employ utility maximization based on cost and benefit expectations as a way of understand human behavior. In contrast, political science theories assume that people are more political than rational, and try to position themselves in their professional or personal environment in a way that maximizes their power and control over others. Given the nature of their underlying assumptions, economic and political theories are not directly comparable, and researchers should not use economic theories if their objective is to understand the power structure or its evolution in a organization. Likewise, theories may have implicit cultural assumptions (e.g., whether they apply to individualistic or collective cultures), temporal assumptions (e.g., whether they apply to early stages or later stages of human behavior), and spatial assumptions (e.g., whether they apply to certain localities but not to others). If a theory is to be properly used or tested, all of its implicit assumptions that form the boundaries of that theory must be properly understood. Unfortunately, theorists rarely state their implicit assumptions clearly, which leads to frequent misapplications of theories to problem situations in research.

Attributes of a Good Theory

Theories are simplified and often partial explanations of complex social reality. As such, there can be good explanations or poor explanations, and consequently, there can be good theories or poor theories. How can we evaluate the “goodness” of a given theory? Different criteria have been proposed by different researchers, the more important of which are listed below:

  • Logical consistency : Are the theoretical constructs, propositions, boundary conditions, and assumptions logically consistent with each other? If some of these “building blocks” of a theory are inconsistent with each other (e.g., a theory assumes rationality, but some constructs represent non-rational concepts), then the theory is a poor theory.
  • Explanatory power : How much does a given theory explain (or predict) reality? Good theories obviously explain the target phenomenon better than rival theories, as often measured by variance explained (R-square) value in regression equations.
  • Falsifiability : British philosopher Karl Popper stated in the 1940’s that for theories to be valid, they must be falsifiable. Falsifiability ensures that the theory is potentially disprovable, if empirical data does not match with theoretical propositions, which allows for their empirical testing by researchers. In other words, theories cannot be theories unless they can be empirically testable. Tautological statements, such as “a day with high temperatures is a hot day” are not empirically testable because a hot day is defined (and measured) as a day with high temperatures, and hence, such statements cannot be viewed as a theoretical proposition. Falsifiability requires presence of rival explanations it ensures that the constructs are adequately measurable, and so forth. However, note that saying that a theory is falsifiable is not the same as saying that a theory should be falsified. If a theory is indeed falsified based on empirical evidence, then it was probably a poor theory to begin with!
  • Parsimony : Parsimony examines how much of a phenomenon is explained with how few variables. The concept is attributed to 14 th century English logician Father William of Ockham (and hence called “Ockham’s razor” or “Occam’s razor), which states that among competing explanations that sufficiently explain the observed evidence, the simplest theory (i.e., one that uses the smallest number of variables or makes the fewest assumptions) is the best. Explanation of a complex social phenomenon can always be increased by adding more and more constructs. However, such approach defeats the purpose of having a theory, which are intended to be “simplified” and generalizable explanations of reality. Parsimony relates to the degrees of freedom in a given theory. Parsimonious theories have higher degrees of freedom, which allow them to be more easily generalized to other contexts, settings, and populations.

Approaches to Theorizing

How do researchers build theories? Steinfeld and Fulk (1990) [2] recommend four such approaches. The first approach is to build theories inductively based on observed patterns of events or behaviors. Such approach is often called “grounded theory building”, because the theory is grounded in empirical observations. This technique is heavily dependent on the observational and interpretive abilities of the researcher, and the resulting theory may be subjective and non -confirmable. Furthermore, observing certain patterns of events will not necessarily make a theory, unless the researcher is able to provide consistent explanations for the observed patterns. We will discuss the grounded theory approach in a later chapter on qualitative research.

The second approach to theory building is to conduct a bottom-up conceptual analysis to identify different sets of predictors relevant to the phenomenon of interest using a predefined framework. One such framework may be a simple input-process-output framework, where the researcher may look for different categories of inputs, such as individual, organizational, and/or technological factors potentially related to the phenomenon of interest (the output), and describe the underlying processes that link these factors to the target phenomenon. This is also an inductive approach that relies heavily on the inductive abilities of the researcher, and interpretation may be biased by researcher’s prior knowledge of the phenomenon being studied.

The third approach to theorizing is to extend or modify existing theories to explain a new context, such as by extending theories of individual learning to explain organizational learning. While making such an extension, certain concepts, propositions, and/or boundary conditions of the old theory may be retained and others modified to fit the new context. This deductive approach leverages the rich inventory of social science theories developed by prior theoreticians, and is an efficient way of building new theories by building on existing ones.

The fourth approach is to apply existing theories in entirely new contexts by drawing upon the structural similarities between the two contexts. This approach relies on reasoning by analogy, and is probably the most creative way of theorizing using a deductive approach. For instance, Markus (1987) [3] used analogic similarities between a nuclear explosion and uncontrolled growth of networks or network-based businesses to propose a critical mass theory of network growth. Just as a nuclear explosion requires a critical mass of radioactive material to sustain a nuclear explosion, Markus suggested that a network requires a critical mass of users to sustain its growth, and without such critical mass, users may leave the network, causing an eventual demise of the network.

Examples of Social Science Theories

In this section, we present brief overviews of a few illustrative theories from different social science disciplines. These theories explain different types of social behaviors, using a set of constructs, propositions, boundary conditions, assumptions, and underlying logic. Note that the following represents just a simplistic introduction to these theories; readers are advised to consult the original sources of these theories for more details and insights on each theory.

Agency Theory. Agency theory (also called principal-agent theory), a classic theory in the organizational economics literature, was originally proposed by Ross (1973) [4] to explain two-party relationships (such as those between an employer and its employees, between organizational executives and shareholders, and between buyers and sellers) whose goals are not congruent with each other. The goal of agency theory is to specify optimal contracts and the conditions under which such contracts may help minimize the effect of goal incongruence. The core assumptions of this theory are that human beings are self-interested individuals, boundedly rational, and risk-averse, and the theory can be applied at the individual or organizational level.

The two parties in this theory are the principal and the agent; the principal employs the agent to perform certain tasks on its behalf. While the principal’s goal is quick and effective completion of the assigned task, the agent’s goal may be working at its own pace, avoiding risks, and seeking self-interest (such as personal pay) over corporate interests. Hence, the goal incongruence. Compounding the nature of the problem may be information asymmetry problems caused by the principal’s inability to adequately observe the agent’s behavior or accurately evaluate the agent’s skill sets. Such asymmetry may lead to agency problems where the agent may not put forth the effort needed to get the task done (the moral hazard problem) or may misrepresent its expertise or skills to get the job but not perform as expected (the adverse selection problem). Typical contracts that are behavior-based, such as a monthly salary, cannot overcome these problems. Hence, agency theory recommends using outcome-based contracts, such as a commissions or a fee payable upon task completion, or mixed contracts that combine behavior-based and outcome-based incentives. An employee stock option plans are is an example of an outcome-based contract while employee pay is a behavior-based contract. Agency theory also recommends tools that principals may employ to improve the efficacy of behavior-based contracts, such as investing in monitoring mechanisms (such as hiring supervisors) to counter the information asymmetry caused by moral hazard, designing renewable contracts contingent on agent’s performance (performance assessment makes the contract partially outcome-based), or by improving the structure of the assigned task to make it more programmable and therefore more observable.

Theory of Planned Behavior. Postulated by Azjen (1991) [5] , the theory of planned behavior (TPB) is a generalized theory of human behavior in the social psychology literature that can be used to study a wide range of individual behaviors. It presumes that individual behavior represents conscious reasoned choice, and is shaped by cognitive thinking and social pressures. The theory postulates that behaviors are based on one’s intention regarding that behavior, which in turn is a function of the person’s attitude toward the behavior, subjective norm regarding that behavior, and perception of control over that behavior (see Figure 4.2). Attitude is defined as the individual’s overall positive or negative feelings about performing the behavior in question, which may be assessed as a summation of one’s beliefs regarding the different consequences of that behavior, weighted by the desirability of those consequences.

Subjective norm refers to one’s perception of whether people important to that person expect the person to perform the intended behavior, and represented as a weighted combination of the expected norms of different referent groups such as friends, colleagues, or supervisors at work. Behavioral control is one’s perception of internal or external controls constraining the behavior in question. Internal controls may include the person’s ability to perform the intended behavior (self-efficacy), while external control refers to the availability of external resources needed to perform that behavior (facilitating conditions). TPB also suggests that sometimes people may intend to perform a given behavior but lack the resources needed to do so, and therefore suggests that posits that behavioral control can have a direct effect on behavior, in addition to the indirect effect mediated by intention.

TPB is an extension of an earlier theory called the theory of reasoned action, which included attitude and subjective norm as key drivers of intention, but not behavioral control. The latter construct was added by Ajzen in TPB to account for circumstances when people may have incomplete control over their own behaviors (such as not having high-speed Internet access for web surfing).

Flowchart theory of planned behavior showing a consequence leading to attitude, a norm leading to subjective norms, control leading to behavioral control, and all of these things leading to the intention and then the behavior.

Figure 4.2. Theory of planned behavior

Innovation diffusion theory. Innovation diffusion theory (IDT) is a seminal theory in the communications literature that explains how innovations are adopted within a population of potential adopters. The concept was first studied by French sociologist Gabriel Tarde, but the theory was developed by Everett Rogers in 1962 based on observations of 508 diffusion studies. The four key elements in this theory are: innovation, communication channels, time, and social system. Innovations may include new technologies, new practices, or new ideas, and adopters may be individuals or organizations. At the macro (population) level, IDT views innovation diffusion as a process of communication where people in a social system learn about a new innovation and its potential benefits through communication channels (such as mass media or prior adopters) and are persuaded to adopt it. Diffusion is a temporal process; the diffusion process starts off slow among a few early adopters, then picks up speed as the innovation is adopted by the mainstream population, and finally slows down as the adopter population reaches saturation. The cumulative adoption pattern therefore an S-shaped curve, as shown in Figure 4.3, and the adopter distribution represents a normal distribution. All adopters are not identical, and adopters can be classified into innovators, early adopters, early majority, late majority, and laggards based on their time of their adoption. The rate of diffusion a lso depends on characteristics of the social system such as the presence of opinion leaders (experts whose opinions are valued by others) and change agents (people who influence others’ behaviors).

At the micro (adopter) level, Rogers (1995) [6] suggests that innovation adoption is a process consisting of five stages: (1) knowledge: when adopters first learn about an innovation from mass-media or interpersonal channels, (2) persuasion: when they are persuaded by prior adopters to try the innovation, (3) decision: their decision to accept or reject the innovation, (4) implementation: their initial utilization of the innovation, and (5) confirmation: their decision to continue using it to its fullest potential (see Figure 4.4). Five innovation characteristics are presumed to shape adopters’ innovation adoption decisions: (1) relative advantage: the expected benefits of an innovation relative to prior innovations, (2) compatibility: the extent to which the innovation fits with the adopter’s work habits, beliefs, and values, (3) complexity: the extent to which the innovation is difficult to learn and use, (4) trialability: the extent to which the innovation can be tested on a trial basis, and (5) observability: the extent to which the results of using the innovation can be clearly observed. The last two characteristics have since been dropped from many innovation studies. Complexity is negatively correlated to innovation adoption, while the other four factors are positively correlated. Innovation adoption also depends on personal factors such as the adopter’s risk- taking propensity, education level, cosmopolitanism, and communication influence. Early adopters are venturesome, well educated, and rely more on mass media for information about the innovation, while later adopters rely more on interpersonal sources (such as friends and family) as their primary source of information. IDT has been criticized for having a “pro-innovation bias,” that is for presuming that all innovations are beneficial and will be eventually diffused across the entire population, and because it does not allow for inefficient innovations such as fads or fashions to die off quickly without being adopted by the entire population or being replaced by better innovations.

S-shaped diffusion curve showing the comparison with the traditional bell-shaped curve with 2.5% as innovators, 13.5% as early adopters, 34% as early majority, 34% as the late majority, and 16% as laggards.

Figure 4.3. S-shaped diffusion curve

Innovation adoption process showing knowledge then persuasion then decision then implementation and then confirmation.

Figure 4.4. Innovation adoption process.

Elaboration Likelihood Model . Developed by Petty and Cacioppo (1986) [7] , the elaboration likelihood model (ELM) is a dual-process theory of attitude formation or change in the psychology literature. It explains how individuals can be influenced to change their attitude toward a certain object, events, or behavior and the relative efficacy of such change strategies. The ELM posits that one’s attitude may be shaped by two “routes” of influence, the central route and the peripheral route, which differ in the amount of thoughtful information processing or “elaboration” required of people (see Figure 4.5). The central route requires a person to think about issue-related arguments in an informational message and carefully scrutinize the merits and relevance of those arguments, before forming an informed judgment about the target object. In the peripheral route, subjects rely on external “cues” such as number of prior users, endorsements from experts, or likeability of the endorser, rather than on the quality of arguments, in framing their attitude towards the target object. The latter route is less cognitively demanding, and the routes of attitude change are typically operationalized in the ELM using the argument quality and peripheral cues constructs respectively.

Argument quality (central route), motivation and ability (elaboration likelihood) and source credibility (peripheral route) all lead to attitude change

Figure 4.5. Elaboration likelihood model

Whether people will be influenced by the central or peripheral routes depends upon their ability and motivation to elaborate the central merits of an argument. This ability and motivation to elaborate is called elaboration likelihood . People in a state of high elaboration likelihood (high ability and high motivation) are more likely to thoughtfully process the information presented and are therefore more influenced by argument quality, while those in the low elaboration likelihood state are more motivated by peripheral cues. Elaboration likelihood is a situational characteristic and not a personal trait. For instance, a doctor may employ the central route for diagnosing and treating a medical ailment (by virtue of his or her expertise of the subject), but may rely on peripheral cues from auto mechanics to understand the problems with his car. As such, the theory has widespread implications about how to enact attitude change toward new products or ideas and even social change.

General Deterrence Theory. Two utilitarian philosophers of the eighteenth century, Cesare Beccaria and Jeremy Bentham, formulated General Deterrence Theory (GDT) as both an explanation of crime and a method for reducing it. GDT examines why certain individuals engage in deviant, anti-social, or criminal behaviors. This theory holds that people are fundamentally rational (for both conforming and deviant behaviors), and that they freely choose deviant behaviors based on a rational cost-benefit calculation. Because people naturally choose utility-maximizing behaviors, deviant choices that engender personal gain or pleasure can be controlled by increasing the costs of such behaviors in the form of punishments (countermeasures) as well as increasing the probability of apprehension. Swiftness, severity, and certainty of punishments are the key constructs in GDT.

While classical positivist research in criminology seeks generalized causes of criminal behaviors, such as poverty, lack of education, psychological conditions, and recommends strategies to rehabilitate criminals, such as by providing them job training and medical treatment, GDT focuses on the criminal decision making process and situational factors that influence that process. Hence, a criminal’s personal situation (such as his personal values, his affluence, and his need for money) and the environmental context (such as how protected is the target, how efficient is the local police, how likely are criminals to be apprehended) play key roles in this decision making process. The focus of GDT is not how to rehabilitate criminals and avert future criminal behaviors, but how to make criminal activities less attractive and therefore prevent crimes. To that end, “target hardening” such as installing deadbolts and building self-defense skills, legal deterrents such as eliminating parole for certain crimes, “three strikes law” (mandatory incarceration for three offenses, even if the offenses are minor and not worth imprisonment), and the death penalty, increasing the chances of apprehension using means such as neighborhood watch programs, special task forces on drugs or gang -related crimes, and increased police patrols, and educational programs such as highly visible notices such as “Trespassers will be prosecuted” are effective in preventing crimes. This theory has interesting implications not only for traditional crimes, but also for contemporary white-collar crimes such as insider trading, software piracy, and illegal sharing of music.

[1] Bacharach, S. B. (1989). “Organizational Theories: Some Criteria for Evaluation,” Academy of Management Review (14:4), 496-515.

[2] Steinfield, C.W. and Fulk, J. (1990). “The Theory Imperative,” in Organizations and Communications Technology , J. Fulk and C. W. Steinfield (eds.), Newbury Park, CA: Sage Publications.

[3] Markus, M. L. (1987). “Toward a ‘Critical Mass’ Theory of Interactive Media: Universal Access, Interdependence, and Diffusion,” Communication Research (14:5), 491-511.

[4] Ross, S. A. (1973). “The Economic Theory of Agency: The Principal’s Problem,” American Economic Review (63:2), 134-139.

[5] Ajzen, I. (1991). “The Theory of Planned Behavior,” Organizational Behavior and Human Decision Processes (50), 179-211.

[6] Rogers, E. (1962). Diffusion of Innovations . New York: The Free Press. Other editions 1983, 1996, 2005.

[7] Petty, R. E., and Cacioppo, J. T. (1986). Communication and Persuasion: Central and Peripheral Routes to Attitude Change . New York: Springer-Verlag.

  • Social Science Research: Principles, Methods, and Practices. Authored by : Anol Bhattacherjee. Provided by : University of South Florida. Located at : http://scholarcommons.usf.edu/oa_textbooks/3/ . License : CC BY-NC-SA: Attribution-NonCommercial-ShareAlike

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