Understanding Power and Rules of Thumb for Determining Sample Sizes

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Abstract

This article addresses the definition of power and its relationship to Type I and Type II errors. We discuss the relationship of sample size and power. Finally, we offer statistical rules of thumb guiding the selection of sample sizes large enough for sufficient power to detecting differences, associations, chi-square, and factor analyses.

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Carmen R. Wilson Van Voorhis

University of Wisconsin–La Crosse

Betsy L. Morgan

Washington University in St. Louis

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Tutorials in Quantitative Methods for Psychology

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University of Wisconsin–La Crosse

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Voorhis et al. (Sat,) studied this question.

synapsesocial.com/papers/69d75be5b4cef8fedc48f818 — DOI: https://doi.org/10.20982/tqmp.03.2.p043

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Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Foundations of Behavioral Research· 1967 · 2,981 citations
Measurement, Design, and Analysis: An Integrated Approach.· 1992 · 4,071 citations
ON THE USE AND INTERPRETATION OF CERTAIN TEST CRITERIA FOR PURPOSES OF STATISTICAL INFERENCE. PART I.· 1967 · 11 citations
Publication manual of the American Psychological Association (7th ed.).· 2019 · 480 citations
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences· 2014 · 20,879 citations

Understanding Power and Rules of Thumb for Determining Sample Sizes

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References and Citations

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