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Power analysis is one of the most fundamental tools that researchers can use when planning studies. “When I finally stumbled onto power analysis, and managed to overcome the handicap of a background with no working math beyond high school algebra (to say nothing of mathematical statistics), it was as if I had died and gone to heaven.”. Applications of power analysis for more complex designs are briefly mentioned, and some important general issues related to power analysis are discussed.
#GPOWER CITATION CODE#
Annotated code for the examples with R and dedicated computational tools are made freely available at a dedicated web page ( ). Illustrative practical examples based on G*Power and R packages are provided throughout the article.
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Special attention is given to the application of power analysis to moderation designs, considering both dichotomous and continuous predictors and moderators. The focus is on applications of power analysis for experimental designs often encountered in psychology, starting from simple two-group independent and paired groups and moving to one-way analysis of variance, factorial designs, contrast analysis, trend analysis, regression analysis, analysis of covariance, and mediation analysis. This contribution aims to remind readers what power analysis is, emphasize why it matters, and articulate when and how it should be used. Power analysis is an important tool to use when planning studies.