Blog
About

  • Record: found
  • Abstract: found
  • Article: not found

A power primer.

Psychological Bulletin

Sample Size, statistics & numerical data, Psychology, Chi-Square Distribution

Read this article at

ScienceOpenPubMed
Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      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.

      Related collections

      Author and article information

      Journal
      19565683

      Chemistry

      Sample Size, statistics & numerical data, Psychology, Chi-Square Distribution

      Comments

      Comment on this article

      Similar articles 15,581

      Cited by 1,584