Statistical power analysis for the behavioral sciences
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
37 pages matching linear interpolation in this book
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Q Chapter 1 The Concepts of Power Analysis
p Chapter 2 The t Test for Means
The Significance of a Product Moment
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99 Table alternate hypothesis analysis of covariance analysis of variance approximately Assume behavioral science behavioral scientists cell Chapter Cohen & Cohen column f computed consider contingency tables conventional defined denominator df departure described desired power detect determine effect size equal equivalent error estimate experiment f Power 05 F test factorial design finds power formula function given hence Illustrative Examples implies interaction investigator larger linear interpolation main effects measure nondirectional normal distribution Note null hypothesis operational definitions pairs parameter population means posited power analysis Power of F power tables power values problem procedure psychologist range ratio regression rejecting the null relationship row power RY.B sample size tables scale Section significance criterion significance test specifications standard deviation statistical power statistical test subtable of Table tion Type II error variance accounted yield zero
Principles and Practice of Structural Equation Modeling
Rex B. Kline
No preview available - 2005
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