Statistical Power Analysis for the Behavioral Sciences
This non-technical guide to power analysis in research planning provides users of applied statistics with the tools they need for more effective analysis. Expanded and updated, the book uses the same approach and organization as the previous edition, but includes a chapter covering power analysis in set correlation and multivariate methods, a chapter considering the effect size, psychometric reliability and the efficacy of qualifying dependent variables, and expanded power and sample size tables for multiple regression/correlation.
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Principles and Practice of Structural Equation Modeling
Rex B. Kline
No preview available - 2005
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