4.4 Article

Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science

Journal

PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
Volume 16, Issue 4, Pages 682-697

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/1745691620970604

Keywords

theory development; formal modeling; computational analysis; psychological explanation; levels of explanation; computational-level theory; theoretical cycle

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Drawing on the philosophy of psychological explanation, it is suggested that psychological science should focus more on psychological capacities rather than just effects. By extending Marr's framework to other areas of psychology, such as social, developmental, and evolutionary psychology, new benefits can be brought to these fields. Theoretical analyses can endow a theory with minimal plausibility even before contact with empirical data, contributing to addressing critical issues in psychological science.
Drawing on the philosophy of psychological explanation, we suggest that psychological science, by focusing on effects, may lose sight of its primary explananda: psychological capacities. We revisit Marr's levels-of-analysis framework, which has been remarkably productive and useful for cognitive psychological explanation. We discuss ways in which Marr's framework may be extended to other areas of psychology, such as social, developmental, and evolutionary psychology, bringing new benefits to these fields. We then show how theoretical analyses can endow a theory with minimal plausibility even before contact with empirical data: We call this the theoretical cycle. Finally, we explain how our proposal may contribute to addressing critical issues in psychological science, including how to leverage effects to understand capacities better.

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