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- W4241093072 abstract "The power of a test refers to the probability with which that test will reject the null hypothesis in those situations in which it is false. This article focuses on the variables that influence power and discusses the different conceptions of power. A priori power is computed before the experiment is conducted and is critical to selecting an appropriate sample size. Retrospective power is calculated on the basis of the completed study. This article outlines a number of concerns with retrospective power. Compromise power is based on the relative seriousness of Type I and Type II errors, and should be considered seriously for exploratory research. Finally, the article discusses the importance of considering confidence intervals on effect sizes, in addition to power." @default.
- W4241093072 created "2022-05-12" @default.
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- W4241093072 date "2014-09-29" @default.
- W4241093072 modified "2023-10-12" @default.
- W4241093072 title "Power" @default.
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- W4241093072 doi "https://doi.org/10.1002/9781118445112.stat06345" @default.
- W4241093072 hasPublicationYear "2014" @default.
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