Statistical Power Analysis for the Behavioral Sciences 2nd Edition by Jacob Cohen, ISBN-13: 978-0805802832
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Description
Statistical Power Analysis for the Behavioral Sciences 2nd Edition by Jacob Cohen, ISBN-13: 978-0805802832
[PDF eBook eTextbook]
- Publisher: Routledge; 2nd edition (July 1, 1988)
- Language: English
- 590 pages
- ISBN-10: 0805802835
- ISBN-13: 978-0805802832
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:
Cover Page
Half Title Page
Title Page
Copyright Page
Dedication
Table of Contents
Preface to the Second Edition
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. Introdction 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 te 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. 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. Multiple Regression and Correlation Analysis
9.1. Introdction and Use
9.2. The Effect Size Index: f2
9.3. Power Tables
9.4. L Tables and the Determination of Sample Size
Chapter 10. Set Correlation and Multivariate Methods
10.1. Introduction and Use
10.2. The Effect Size Index: f2
10.3. Determining the Power
10.4. Determining Sample Size
Chapter 11. Some Issues in Power Analysis
11.1. Introduction
11.2. Effect Size
11.3. Reliability
11.4. “Qualifying” Dependent Variables
Chapter 12. Computational Procedures
12.1. Introdction
12.2. t Test for Means
12.3. The Significance of a Product Moment r
12.4. Differences between Correlation Coefficient
12.5. The Test that a Proportion is .50 and the Sign Test
12.6. Differences between Proportions
12.7. Chi-Square Tests for Goodness of Fit and Contingency Tables
12.8. F Test on Means and the Analysis of Variance and Covariance
12.9. F Test of Variance Proportions in Multiple Regression/Correlation Analysis
References
Index
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