Through the use of simple procedures and examples, this text shows readers with little expertise in statistics how to obtain the values needed to carry out the power analysis for research. Numerous examples demonstrate how to choose the criterion for defining statistically significant outcomes. The book reviews how to determine: the sample size needed to achieve desired levels of power; the level of power needed in a study; the size of effect that can be reliably detected by a study; and criteria for statistical ...
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Through the use of simple procedures and examples, this text shows readers with little expertise in statistics how to obtain the values needed to carry out the power analysis for research. Numerous examples demonstrate how to choose the criterion for defining statistically significant outcomes. The book reviews how to determine: the sample size needed to achieve desired levels of power; the level of power needed in a study; the size of effect that can be reliably detected by a study; and criteria for statistical significance. The book helps students and researchers design and diagnose existing studies. A web based calculator and data sets allow users to perform all of the book's analyses.
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