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      Love is not blind: What romantic partners know about our abilities compared to ourselves, our close friends, and our acquaintances

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      Journal of Research in Personality
      Elsevier BV

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          A power primer.

          One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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            Evaluating Effect Size in Psychological Research: Sense and Nonsense

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              Effect size guidelines for individual differences researchers

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                Author and article information

                Journal
                Journal of Research in Personality
                Journal of Research in Personality
                Elsevier BV
                00926566
                June 2022
                June 2022
                : 98
                : 104211
                Article
                10.1016/j.jrp.2022.104211
                55979ebf-c94e-4120-b10d-9ed59d16d65d
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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