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The statistical recommendations of the American Psychological Association publication manual: Effect sizes, confidence intervals, and meta-analysis
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posted on 2024-06-05, 02:51 authored by G Cumming, F Fidler, P Kalinowski, J LaiEstimation based on effect sizes, confidence intervals, and meta-analysis usually provides a more informative analysis of empirical results than does statistical significance testing, which has long been the conventional choice in psychology. The sixth edition of the American Psychological Association Publication Manual now recommends that psychologists should, wherever possible, use estimation and base their interpretation of research results on point and interval estimates. We outline the Manual's recommendations and suggest how they can be put into practice: adopt an estimation framework, starting with the formulation of research aims as 'How much?' or 'To what extent?' questions. Calculate from your data effect size estimates and confidence intervals to answer those questions, then interpret. Wherever appropriate, use meta-analysis to integrate evidence over studies. The Manual's recommendations can assist psychologists improve they way they do their statistics and help build a more quantitative and cumulative discipline. © 2011 The Australian Psychological Society.
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Journal
Australian journal of psychologyVolume
64Pagination
138-146Location
London, Eng.Publisher DOI
ISSN
0004-9530eISSN
1742-9536Language
engPublication classification
C1.1 Refereed article in a scholarly journalIssue
3Publisher
WileyUsage metrics
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