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: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation. |
Contents
ChiSquare Tests for Goodness of Fit and Contingency Tables | xv |
The Significance of a Product Moment | 3 |
The Analysis of Variance and Covariance | 69 |
The Test that a Proportion is 50 and the Sign Test | 5 |
Set Correlation and Multivariate Methods | 15 |
Some Issues in Power Analysis | 41 |
Computational Procedures | 52 |
| 61 | |
Other editions - View all
Common terms and phrases
99 Power values alternate hypothesis analysis of covariance analysis of variance approximation Assume behavioral science cell Chapter Cohen & Cohen column computed consider contingency tables conventional defined degrees of freedom denominator df departure dependent variable desired power detect determine distribution Effect Size equal error estimate experiment f n Fc F test factorial design finds power formula given greater than 995 Illustrative Example implies interaction investigator linear interpolation main effects MANOVA measures normal distribution Note null hypothesis operational definitions pairs parameters partial point are greater population means population membership posited Power 05 power analysis Power of F power tables problem procedure proportion of variance psychologist ratio regression rejecting the null relationship row power sample size tables Section significance criterion significance testing statistical variance accounted yield z transformation zero