**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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