Thousand Oaks, California : Sage Publications, Inc., 
xvii, 138 pages ; 22 cm.
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Includes bibliographical references and index.
The what, why, and when of power analysis -- Statistical distribution -- General topics in hypothesis testing and power analysis when the population standard deviation is known : the case of two group means -- The difference between two groups in simple random samples where the population standard deviation must be estimated -- Using covariates when testing the difference in sample group means for balanced design -- Multilevel models I : testing the difference in group means in two-level cluster randomized trials -- Multilevel models II : testing the difference in group means in two-level multisite randomized trials -- Reasonable assumptions -- Writing about power -- Conclusions, further reading, and regression.
Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy. --! From back cover.
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