Methodological Issues in Psychology is a comprehensive text that challenges current practice in the discipline and provides solutions that are more useful in contemporary research, both basic and applied.
Methodological Issues in Psychology is a comprehensive text that challenges current practice in the discipline and provides solutions that are more useful in contemporary research, both basic and applied.
David Trafimow is a Distinguished Achievement Professor of psychology at New Mexico State University, a Fellow of the Association for Psychological Science, Executive Editor of the Journal of General Psychology, and for Basic and Applied Social Psychology. He received his PhD in psychology from the University of Illinois at Urbana-Champaign in 1993. His current research interests include attribution, attitudes, cross-cultural research, ethics, morality, philosophy and philosophy of science, methodology, potential performance theory, the a priori procedure, and gain-probability diagrams.
Inhaltsangabe
Part I: General methodological issues 1. A Philosophical Foundation 2. The Reality Underneath the Reality: Examples from the Hard Sciences 3. The TASI Taxonomy and Implications 4. Why We Should Not Engage Null Hypothesis Significance Testing 5. How to Think About Replicating Findings 6. The A Priori Procedure (APP) 7. Gain-Probability Diagrams 8. The Unfortunate Dependence of Much Social Science on Mediation Analysis Part II: Measurement issues 9. The Classical Theory and Implications 10. Potential Performance Theory 11. Auxiliary Validity 12. Unit Validity and Why Units Matter 13. A Tripartite Parsing of Variance 14. Shocking Measurement Implications
Part I: General methodological issues 1. A Philosophical Foundation 2. The Reality Underneath the Reality: Examples from the Hard Sciences 3. The TASI Taxonomy and Implications 4. Why We Should Not Engage Null Hypothesis Significance Testing 5. How to Think About Replicating Findings 6. The A Priori Procedure (APP) 7. Gain-Probability Diagrams 8. The Unfortunate Dependence of Much Social Science on Mediation Analysis Part II: Measurement issues 9. The Classical Theory and Implications 10. Potential Performance Theory 11. Auxiliary Validity 12. Unit Validity and Why Units Matter 13. A Tripartite Parsing of Variance 14. Shocking Measurement Implications
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