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
| 1 | |
| 19 | |
CHAPTER 3 The Significance of a Product Moment rs | 75 |
CHAPTER 4 Differences between Correlation Coefficients | 109 |
CHAPTER 5 The Test that a Proportion is 50 and the Sign Test | 145 |
CHAPTER 6 Differences between Proportions | 179 |
CHAPTER 7 ChiSquare Tests for Goodness of Fit and Contingency Tables | 215 |
CHAPTER 8 F Tests on Means in the Analysis of Variance and Covariance | 273 |
CHAPTER 9 F Tests of Variance Proportions in Multiple RegressionCorrelation Analysis | 407 |
Computational Procedures | 455 |
| 465 | |
| 469 | |
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Common terms and phrases
៩៩៩៩៩ a₁ a₂ alternate hypothesis analysis of covariance analysis of variance approximation Assume behavioral science cell Chapter Cohen & Cohen column f computed consider conventional defined denominator df departure desired power detect determine difference distribution effect size equal error experiment experimental F test factorial design finds power formula given greater than 995 H₁ Illustrative Examples implies interaction investigator linear interpolation main effects measure n₁ nondirectional normal distribution Note null hypothesis operational definitions P₁ P₂ pairs parameter planning point are greater population means posited Power 05 power analysis Power of x2 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 power tion variance accounted wwwww x2 test yield z transformation zero