Statistical Power Analysis for the Behavioral Sciences

✍ Scribed by Jacob Cohen (Auth.)

• Publisher: Lawrence Erlbaum
• Year: 1977
• Tongue: English
• Leaves: 474
• Edition: 1
• Category: Library

✦ Synopsis

Statistical 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.

✦ Table of Contents

Content:
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Preface to the Revised Edition, Pages xi-xii
Preface to the Original Edition, Pages xiii-xv
CHAPTER 1 - The Concepts of Power Analysis, Pages 1-17
CHAPTER 2 - The t Test for Means, Pages 19-74
CHAPTER 3 - The Significance of a Product Moment r_s, Pages 75-107
CHAPTER 4 - Differences between Correlation Coefficients, Pages 109-143
CHAPTER 5 - The Test That a Proportion Is .50 and the Sign Test, Pages 145-178
CHAPTER 6 - Differences between Proportions, Pages 179-213
CHAPTER 7 - Chi-Square Tests for Goodness of Fit and Contingency Tables, Pages 215-271
CHAPTER 8 - F Tests on Means in the Analysis of Variance and Covariance, Pages 273-406
CHAPTER 9 - F Tests of Variance Proportions in Multiple Regression/Correlation Analysis, Pages 407-453
CHAPTER 10 - Technical Appendix: Computational Procedures, Pages 455-463
References, Pages 465-467
Index, Pages 469-474