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Statistical Power Analysis for the Behavioral Sciences

  • 1 Edición - 1 de enero de 1977
  • Última edición
  • Autor: Jacob Cohen
  • Idioma: Inglés

Statistical Power Analysis for the Behavioral Sciences, Revised Edition emphasizes the importance of statistical power analysis. This edition discusses the concepts and types of… Leer más

Descripción

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.

Índice


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

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 3 de septiembre de 2013
  • Idioma: Inglés

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