Statistical power analysis

Larry Vernon Hedges*, C. Rhoads

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Abstract

Statistical power analysis involves determining statistical power of a design given a statistical significance level, sample size, and effect size, or determining the sample size necessary to obtain a desired level of power for a specified effect size and significance level. Power analysis is described for research designs with and without covariates. It is also described for research designs that involve multilevel sampling and assignment of intact groups to treatments. A table is provided to assist in the computation of statistical power for a given effect size and sample size or required sample size for a given effect size and desired power.

Original languageEnglish (US)
Title of host publicationInternational Encyclopedia of Education
PublisherElsevier Ltd.
Pages436-443
Number of pages8
ISBN (Print)9780080448947
DOIs
StatePublished - Dec 1 2010

Keywords

  • Cluster randomized experiments
  • Completely randomized experiments
  • Covariates
  • Effect size
  • Experimental design
  • Intraclass correlation
  • Quasi-experiments
  • Randomized experiments
  • Research design
  • Statistical hypothesis testing
  • Statistical power
  • Statistical significance

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)

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