Establishing Psychological Phenomena: An Alternative Methodological Perspective on Scientific Practice

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Authors: Jason Nak, Noah N'Djaye Nikolai van Dongen, James Francis Woodward, Anne M. Scheel, Brian D. Haig, Riet van Bork, Tessa F. Blanken, Jill de Ron, Adam Finnemann, Jonas M B Haslbeck, Jolien C. Francken, Markus I. Eronen
+3 more Caspar J. Van Lissa, Huub Dijstelbloem, Denny Borsboom
Cited by: 6

Abstract

We argue that psychology should aim its empirical research efforts at establishing phenomena. Psychology typically conceptualizes research in terms of testing theories against data. An alternative approach in philosophy of science views the scientific method in terms of a three-level relation between data, phenomena, and theory. In this conceptualization, phenomena are understood as robust features of the world, which are evidenced by patterns in data. Theories explain phenomena by positing the existence and causal operation of entities, processes, and structures that give rise to these phenomena. We argue that much psychological research should be understood as establishing phenomena rather than testing theories. Focussing on establishing phenomena will aid the robustness of psychological research, while simultaneously creating a better foundation for theory creation. We outline how envisioning scientific research in terms of the relation between data, phenomena, and theory has far-reaching consequences: a) it offers an alternative methodological organization, where the description and free exploration of data is of greater importance than it currently is, b) it formulates new ways of thinking about methodological concepts such as replicability, generalizability, and validity, and c) it allows us to develop guidelines for incorporating this perspective into practice that can substantially improve psychological science.

Fields of Study & Subjects

Philosophy and History of Science Academic and Historical Perspectives in Psychology Social Representations and Identity

Publication details

Publisher
Center for Open Science
Publication date
31 March 2026
Document type
Preprint