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PARADIGMS IN SOCIAL SCIENCE RESEARCH

5 min read

Based on RESEARCH METHODS CLASS WITH PROF. LYDIAH WAMBUGU's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Paradigms (research philosophies) are systems of beliefs that shape the entire research process, from problem selection to methods and interpretation.

Briefing

Social science research is steered less by “methods” alone and more by the beliefs researchers carry about reality, knowledge, values, and acceptable ways of studying people. Those underlying assumptions—often grouped under the umbrella term “paradigm” or “research philosophy”—shape everything from what topic feels worth investigating to whether data should be numerical, narrative, or both. The practical takeaway is straightforward: no paradigm is automatically better, but the chosen paradigm must fit the research problem and the assumptions behind it.

To make the idea concrete, the class uses everyday choices as an analogy: people shop at certain supermarkets and buy specific brands not because alternatives are objectively worse, but because personal beliefs about quality, price, layout, and service make one option feel “right.” Research works the same way. Researchers select problems and methods based on what they treat as valid knowledge. For example, governments often report success through statistics—percentages, GDP growth, loan counts—because numbers are assumed to communicate progress effectively. Researchers who share that belief tend to favor numerical data; those who prioritize lived experience tend to favor narrative accounts.

A paradigm is defined as a system of beliefs and assumptions guiding how knowledge is developed and how research should be conducted. Two cited definitions emphasize that paradigms function as shared worldviews: they represent beliefs and values that guide how problems are solved within a discipline. In social science, paradigms are described through four components. Ontology addresses the nature of reality (what exists and how it exists). Epistemology concerns what counts as valid knowledge and how researchers justify claims. Axiology focuses on values, ethics, and bias—how researchers handle their own standpoint and their respondents’ perspectives. Methodology specifies the methods and procedures used to study and interpret social phenomena.

The class then lays out four major paradigms commonly used in social science: positivism (and postpositivism), interpretivism (constructivism), emancipatory (advocacy/liberatory/transformative), and pragmatism. Positivism assumes a single, objective reality independent of the observer; it seeks explanation, prediction, and control, often turning social life into measurable variables. Interpretivism assumes multiple, subjective realities constructed through experience; it reduces the distance between researcher and participant and relies on insider perspectives through approaches such as in-depth interviews and observation. Emancipatory research also accepts multiple realities but adds a moral purpose: research should empower marginalized groups and enable social change, often through participatory collaboration. Pragmatism is “fitness for purpose,” treating the best approach as the one that works for the research question—frequently motivating mixed methods that combine strengths of different paradigms.

A key warning closes the lesson: paradigms must be matched to their philosophical assumptions and to the research problem. The class also notes that universities may require different levels of explicit discussion of paradigms in proposals, but the underlying paradigm still shapes the work even when it is not written into the document. The next session is expected to move from paradigms to research approaches and how they borrow from these worldviews.

Cornell Notes

The lesson argues that social science research is guided by “paradigms” (research philosophies)—systems of beliefs about reality, knowledge, values, and methods. These assumptions shape what researchers choose to study, what counts as valid evidence, how researchers relate to participants, and which data and analysis techniques fit. Four paradigm components are central: ontology (nature of reality), epistemology (nature of knowledge), axiology (values/ethics/bias), and methodology (methods for studying and interpreting phenomena). The class then contrasts four common paradigms: positivism (single objective reality; measurement and prediction), interpretivism/constructivism (multiple subjective realities; insider perspectives), emancipatory (empowerment and social change), and pragmatism (fitness for purpose; often mixed methods). No paradigm is inherently superior; the fit between assumptions and the research problem matters most.

Why does the lesson treat paradigms as more than “just methods” in social science research?

Paradigms are described as underlying beliefs that determine how knowledge is developed and how research should be conducted. The class links paradigms to the full research chain: selecting the research problem, choosing what counts as valid knowledge, deciding how close the researcher should be to participants, and selecting data collection and analysis methods. For instance, a belief that numbers communicate progress better pushes researchers toward numerical data, while a belief that lived experience is the key evidence pushes toward narrative data.

How do ontology, epistemology, axiology, and methodology work together inside a paradigm?

Ontology addresses the nature of reality—what exists and how it exists (e.g., divorce as a social phenomenon that can be studied as “out there” or as meaning constructed through experience). Epistemology defines what counts as acceptable knowledge (e.g., whether numerical measurement or participant accounts are treated as valid). Axiology covers values, ethics, and bias—how researchers manage their own standpoint and participants’ anonymity or involvement. Methodology then translates these assumptions into concrete study choices: design, sampling, data collection, and analysis techniques.

What is the positivism view of reality and why does it lead to quantitative-style research?

Positivism is presented as assuming a single, fixed, objective reality independent of the observer. Because reality is treated as measurable and discoverable by anyone, researchers can break social phenomena into variables and use scientific methods to explain, predict, and control. In the divorce example, this leads to questionnaires, research assistants collecting responses, and reporting results as frequencies and percentages.

How does interpretivism/constructivism change the researcher–participant relationship and data choices?

Interpretivism assumes multiple, subjective realities constructed through human experience. That shifts the epistemological and axiological stance: researchers should lessen the distance between themselves and participants and aim to see through the participant’s eyes. In the divorce example, instead of measuring causes via questionnaires, the researcher becomes an “insider” by conducting in-depth interviews and collecting thick descriptions, then reporting themes emerging from stories.

What makes emancipatory research distinct from interpretivism even though both accept multiple realities?

Emancipatory research shares the idea of multiple realities but adds a moral and political purpose: research should empower marginalized people and enable social change. The class emphasizes that findings should give marginalized groups a voice, and that methods may involve collaboration with participants to ensure the research leads to improvement in their lives.

Why does pragmatism often encourage mixed methods?

Pragmatism is framed as “fitness for purpose,” shifting attention from debating which reality is true to what approach works for the research question. Because different paradigms offer different strengths, pragmatists combine approaches—commonly mixing quantitative and qualitative methods—to produce a more comprehensive answer.

Review Questions

  1. Which paradigm components (ontology, epistemology, axiology, methodology) most directly influence your choice of data type (numerical vs narrative), and how?
  2. In the divorce example, what changes between positivism and interpretivism besides the data collection technique?
  3. How can a researcher justify using a paradigm that has limitations, according to the lesson’s guidance on matching assumptions to the research problem?

Key Points

  1. 1

    Paradigms (research philosophies) are systems of beliefs that shape the entire research process, from problem selection to methods and interpretation.

  2. 2

    Ontology, epistemology, axiology, and methodology are the four core components used to describe how a paradigm views reality, knowledge, values, and methods.

  3. 3

    No paradigm is inherently superior; the correct choice depends on whether the paradigm’s assumptions fit the research problem.

  4. 4

    Positivism treats reality as single and objective, leading to measurement, variables, and quantitative reporting such as frequencies and percentages.

  5. 5

    Interpretivism/constructivism treats reality as multiple and subjective, requiring closer researcher–participant engagement and qualitative evidence like in-depth interviews.

  6. 6

    Emancipatory research adds an empowerment and social-change goal, often involving participant collaboration to ensure marginalized groups benefit.

  7. 7

    Pragmatism prioritizes what works for the research question, often motivating mixed methods that combine strengths of different paradigms.

Highlights

Paradigms determine what counts as valid knowledge—so the choice between numerical and narrative data follows from epistemology, not just preference.
Ontology influences what gets studied: academic performance can be framed differently depending on whether reality is treated as existing at the university level or in basic education settings.
Positivism and interpretivism can study the same topic (e.g., divorce) but produce fundamentally different evidence: percentages versus themes from lived stories.
Emancipatory research is defined by its moral purpose—research should empower marginalized people, not just generate knowledge.
Pragmatism is framed as “fitness for purpose,” making mixed methods a practical strategy rather than a theoretical compromise.

Mentioned