Statistical Power Analysis for the Behavioral SciencesStatistical 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: |
Contents
The Significance of a Product Moment | |
Differences between Correlation Coefficients | |
The Test that a Proportion is 50 and the Sign Test | ix |
ChiSquare Tests for Goodness of Fit and Contingency Tables | xciii |
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Common terms and phrases
99 Power values a₁ analysis of covariance analysis of variance approximation Assume behavioral science cell Chapter Cohen & Cohen column computed defined dependent variable desired power detect determine difference Effect Size equal Equation experimental f n Fc F test factorial design finds power formula function given gives power greater than 995 Illustrative Example implied increase interaction investigator K-group k₁ linear interpolation main effects MANOVA measures medium Model 2 error multivariate n₁ necessary normal curve Note null hypothesis operational definitions pairs parameters partial planning point are greater population means posited power analysis Power of F power tables procedure proportion of variance psychologist R²y,x regression relationship research factors row power sample size sample size tables scores Section significance criterion significance testing standard deviation statistical variance accounted yield z transformation zero