Statistical Power Analysis for the Behavioral SciencesStatistical Power Analysis for the Behavioral Sciences, Revised Edition emphasizes the importance of statistical power analysis. This edition discusses the concepts and types of power analysis, t test for means, significance of a product moment rs, and differences between correlation coefficients. The test that a proportion is .50 and sign test, differences between proportions, and chi-square tests for goodness of fit and contingency tables are also elaborated. This text likewise covers the F tests of variance proportions in multiple regression/correlation analysis and computational procedures. This publication is intended for behavioral and biosocial scientists who use statistical inference, but also serves as a supplementary textbook for intermediate level courses in applied statistics in behavioral/biosocial science. |
Contents
The Concepts of Power Analysis | 1 |
The Significance of a Product Moment | 75 |
Differences between Correlation Coefficients | 109 |
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៩៩៩៩៩ a₁ a₂ alternate hypothesis analysis of covariance analysis of variance approximation Assume behavioral science cell Chapter coefficient Cohen & Cohen column f computed contingency tables correlation defined denominator df desired power detect determine difference EFFECT SIZE equal error experiment experimental F test factorial design formula given greater than 995 H₁ Illustrative Examples implies interaction investigator linear interpolation main effects n₁ nondirectional normal distribution Note null hypothesis operational definitions P₁ P₂ pairs point are greater population means Power 05 power analysis Power of F power tables power values procedure proportion psychologist r₁ rejecting the null relationship row power sample size tables Section significance criterion significance test specifications standard deviation statistical subtable of Table tion value of f variables variance accounted within-population wwww wwwww x2 test yield z transformation zero بلو جلها