학술논문

Evolutionary psychology: A how-to guide.
Document Type
Academic Journal
Author
Lewis DMG; Department of Psychology, The University of Texas at Austin.; Al-Shawaf L; Department of Psychology, Bilkent University.; Conroy-Beam D; Department of Psychology, The University of Texas at Austin.; Asao K; Department of Psychology, The University of Texas at Austin.; Buss DM; Department of Psychology, The University of Texas at Austin.
Source
Publisher: American Psychological Association Country of Publication: United States NLM ID: 0370521 Publication Model: Print Cited Medium: Internet ISSN: 1935-990X (Electronic) Linking ISSN: 0003066X NLM ISO Abbreviation: Am Psychol Subsets: MEDLINE
Subject
Language
English
Abstract
Researchers in the social and behavioral sciences are increasingly using evolutionary insights to test novel hypotheses about human psychology. Because evolutionary perspectives are relatively new to psychology and most researchers do not receive formal training in this endeavor, there remains ambiguity about "best practices" for implementing evolutionary principles. This article provides researchers with a practical guide for using evolutionary perspectives in their research programs and for avoiding common pitfalls in doing so. We outline essential elements of an evolutionarily informed research program at 3 central phases: (a) generating testable hypotheses, (b) testing empirical predictions, and (c) interpreting results. We elaborate key conceptual tools, including task analysis, psychological mechanisms, design features, universality, and cost-benefit analysis. Researchers can use these tools to generate hypotheses about universal psychological mechanisms, social and cultural inputs that amplify or attenuate the activation of these mechanisms, and cross-culturally variable behavior that these mechanisms can produce. We hope that this guide inspires theoretically and methodologically rigorous research that more cogently integrates knowledge from the psychological and life sciences. (PsycINFO Database Record
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