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The one essential book for any researcher's library.
Review: Statistical Power Analysis for the Behavioral SciencesUser Review - Thomas - Goodreads
I agree with Cohen that a possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. This book offers a convenient presentation of required sample sizes. Read full review
analysis of covariance analysis of variance approximation Assume behavioral science cell Chapter CM CM CM coefficient Cohen & Cohen column computed correlation defined denominator df dependent variable desired power detect determine difference effect size equal Equation experimental F test factorial design finds power formula function given gives power greater than 995 Illustrative Example implies interaction investigator linear interpolation main effects MANOVA measures Model 2 error multivariate necessary nondirectional normal curve normal distribution Note null hypothesis operational definitions pairs parameter partial planning point are greater population means posited power analysis Power of F power values procedure proportion of variance psychologist R2Yx regression rejecting the null relationship research factor row power Ry.b sample size tables scores Section significance criterion significance test standard deviation TESTS ON MEANS tion Type II error variance accounted yield zero
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