The quantitative-qualitative divide often reflects deeper epistemological commitments. Positivism assumes objective reality discoverable through hypothesis testing; interpretivism emphasizes meaning-making; critical realism claims real structures exist but are known through interpretation. Understanding these paradigms helps align methods with theoretical goals.
From your philosophy of social science prerequisites, you already know that epistemology asks how knowledge is possible and what can count as evidence. The paradigm debates in social research are that question applied to the specific problem of studying human beings. The three major positions — positivism, interpretivism, and critical realism — disagree not just about methods but about the fundamental nature of social reality and what it means to explain it.
Positivism, modeled on natural science, holds that social facts are objective — they exist independently of what anyone thinks about them and can be measured, compared, and tested. In this view, the goal of social research is to identify causal laws: if X, then reliably Y, across contexts and observers. Survey research, regression models, and randomized experiments all operate within this tradition. The ideal is replication by independent observers arriving at the same result. The strength of positivism is precision and falsifiability; its limitation is that it can miss the meanings that make social behavior intelligible in the first place — people act on interpretations, not just stimuli.
Interpretivism takes that limitation as its foundation. Drawing on Weber's concept of Verstehen (understanding from within), interpretivists argue that social reality is constituted by meaning — people act in terms of how they interpret their situation, and those interpretations are not reducible to external causal variables. The goal is not to explain behavior by laws but to understand it by reconstructing the meanings actors bring to their world. Ethnography, in-depth interviews, and discourse analysis are the natural methods. But interpretivism faces its own challenge: if meaning is contextual and locally produced, what prevents findings from being ungeneralizable to the point of uselessness?
Critical realism, developed by Roy Bhaskar, attempts a synthesis. It accepts that real causal structures exist (unlike interpretivism's more constructivist versions), but argues that these structures are not directly observable — they manifest in events only under specific conditions, and they must be identified through theoretical and interpretive work (unlike naive positivism's empiricism). Think of gravity: you cannot observe it directly, but you can identify it by its effects. Critical realism allows researchers to use both quantitative and qualitative methods while staying grounded in a claim that there is something real to explain. Understanding which paradigm a study operates within helps you evaluate it on its own terms — not every study should be judged by whether it produced a p-value.
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