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
Chapter 1 The Concepts of Power Analysis | 1 |
Chapter 2 The t Test for Means | 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 The Analysis of Variance and Covariance | 273 |
Chapter 9 Multiple Regression and Correlation Analysis | 407 |
Chapter 10 Set Correlation and Multivariate Methods | 467 |
Chapter 11 Some Issues in Power Analysis | 531 |
Chapter 12 Computational Procedures | 543 |
| 553 | |
| 559 | |
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Common terms and phrases
99 Table a₁ a₂ analysis of covariance analysis of variance Assume behavioral science cell Chapter coefficient Cohen & Cohen column computed correlation defined dependent variable desired power detect determine difference effect size equal Equation experimental f n F F test finds power formula given gives power greater than 995 Illustrative Example implies interaction investigator K-group linear interpolation main effects MANOVA measures Model 2 error multivariate normal distribution Note null hypothesis operational definitions P₁ pairs parameter partial planning point are greater population means posited power analysis Power of x² power tables power values proportion of variance psychologist r₁ R²y,x rejecting the null relationship row power sample size tables scores Section significance criterion significance test specifications standard deviation statistical tion variance accounted x² test yield z transformation zero η² بلو جلها جليا