Statistical Power Analysis for the Behavioral Sciences
- 1st Edition - September 3, 2013
- Latest edition
- Author: Jacob Cohen
- Language: English
Statistical Power Analysis for the Behavioral Sciences, Revised Edition emphasizes the importance of statistical power analysis. This edition discusses the concepts and types of… Read more
Statistical 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.
Preface to the Revised Edition
Preface to the Original Edition
Chapter 1. The Concepts of Power Analysis
1.1. General Introduction
1.2. Significance Criterion
1.3. Reliability of Sample Results and Sample Size
1.4. The Effect Size
1.5. Types of Power Analysis
1.6. Significance Testing
1.7. Plan of Chapters 2-9
Chapter 2. The t Test for Means
2.1. Introduction and Use
2.2. The Effect Size Index: d
2.3. Power Tables
2.4. Sample Size Tables
2.5. The Use of the Tables for Significance Testing
Chapter 3. The Significance of a Product Moment rs
3.1. Introduction and Use
3.2. The Effect Size: r
3.3. Power Tables
3.4. Sample Size Tables
3.5. The Use of the Tables for Significance Testing of r
Chapter 4. Differences between Correlation Coefficients
4.1. Introduction and Use
4.2. The Effect Size Index: q
4.3. Power Tables
4.4. Sample Size Tables
4.5. The Use of the Tables for Significance Testing
Chapter 5. The Test that a Proportion is .50 and the Sign Test
5.1. Introduction and Use
5.2. The Effect Size Index: g
5.3. Power Tables
5.4. Sample Size Tables
5.5. The Use of the Tables for Significance Testing
Chapter 6. Differences between Proportions
6.1. Introduction and Use
6.2. The Arcsine Transformation and the Effect Size Index: h
6.3. Power Tables
6.4. Sample Size Tables
6.5. The Use of the Tables for Significance Testing
Chapter 7. Chi-Square Tests for Goodness of Fit and Contingency Tables
7.1. Introduction and Use
7.2. The Effect Size Index: w
7.3. Power Tables
7.4. Sample Size Tables
Chapter 8. F Tests on Means in the Analysis of Variance and Covariance
8.1. Introduction and Use
8.2. The Effect Size Index: f
8.3. Power Tables
8.4. Sample Size Tables
8.5. The Use of the Tables for Significance Testing
Chapter 9. F Tests of Variance Proportions in Multiple Regression/Correlation Analysis
9.1. Introduction and Use
9.2. The Effect Size Index: i
9.3. Power Tables
9.4. L Tables and the Determination of Sample Size
Chapter 10. Technical Appendix : Computational Procedures
10.1. Introduction
10.2. t Test for Means
10.3. The Significance of a Product Moment r
10.4. Differences between Correlation Coefficients
10.5. The Test that a Proportion is .50 and the Sign Test
10.6. Differences between Proportions
10.7. Chi-Square Tests for Goodness of Fit and Contingency Tables
10.8. F Test on Means and the Analysis of Variance and Covariance
10.9. F Test of Variance Proportions in Multiple Regression/Correlation Analysis
References
Index
- Edition: 1
- Latest edition
- Published: September 3, 2013
- Language: English
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