Jul 2026· International Political Science Review· 1 citation· 32 references
Abstract
Political science is undergoing a pronounced methodological shift toward causal identification and design-based inference, increasingly marginalizing qualitative and observational approaches. We argue that this shift rests on the flawed premise that methods can be ranked in the abstract, independently of the research question and the theories at stake. Drawing on a Popperian understanding of scientific progress, we develop a framework of comparative theory testing in which method choice is derived from the competing theories themselves. When rival theories generate observationally non-equivalent implications—causal, correlational, or descriptive—any form of evidence capable of adjudicating between them has epistemic standing. This grounds methodological pluralism not in a normative appeal for inclusivity, but in the internal logic of rigorous theory testing. We illustrate the framework through canonical examples, propose criteria for evaluating the rigor of comparative theory tests, and show that design-based methods earn their place within—not above—this framework. The result is a unified perspective that preserves our capacity to engage big-picture questions while maintaining the standards of falsifiability and theoretical precision that scientific inquiry requires.
ABSTRACT Despite the consolidation of experimental designs as a central standard for causal inference in adjacent fields, experiments remain peripheral in large segments of management research. This article argues that such marginalization is not primarily technical, but epistemic and institutional. It reconstructs six...
João Fernandes Jorge de Siqueira, R. Porto, J. S. Freitas· BAR: Brazilian Administratio...· 0 citations
This paper critically reassesses the epistemic relationship between religion and science,
examining whether they function as competitors, allies, or differentiated yet complementary
domains of inquiry. It situates the discussion historically, demonstrating that episodes of
tension often reflect disputes over authori...
Gabriel Adedayo Idogbe· International Journal of Rel...· 0 citations
Gailmard (2026) and Dowding and Miller (2026) draw attention to a methodological gap that political science has yet to adequately address: causal identification, on its own, does not constitute causal explanation. Both contributions help clarify the gap. We extend their analyses in three ways. First, we identify thre...
Dwayne Woods· Chinese Political Science Re...· 0 citations
It is argued that demonstrating internal incoherence is a necessary precursor to AI alignment as well as a broader phenomenon of epistemic instability in generative AI wherein models fail to reliably maintain coherence with respect to their own prior outputs.
Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Helen Nissenbaum· 0 citations
Big data and empirical social science share an often-subterraneous assumption, namely, positivism. Some of their jointly hidden premises are that experiences, preferences, and culture are all equally quantifiable, testable, and measurable. Further, their view is a reification of the status quo, a harmonistic view of...
Andrew Burnside· Philosophy & Social Crit...· 0 citations
This paper argues that debates over saturation in qualitative research point to a deeper problem than conceptual ambiguity or inconsistent application. At stake is the lack of a general account of how inquiry becomes sufficient. Drawing on sociological theories of justification, evaluation, and boundary work, the paper...
Michael S. Carolan· Sociological inquiry· 0 citations
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