Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

by Cohen; Jacob

• ISBN13: 9780898592689
• ISBN10: 0898592682
• Edition: 2nd
• Format: Hardcover
• Copyright: 1984-03-01
• Publisher: Lawrence Erlbau

Summary

This classic text on multiple regression is noted for its non-mathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for a solid understanding of the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures and an accompanying CD with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters. The book is an ideal text for courses on multiple regression and correlational methods.

Table of Contents

Preface to Second Edition

Preface to First Edition

Basics.

Introduction

Bivariate Correlation and Regression

Multiple Regression/Correlation: Two or More Independent Variables

Sets of Independent Variables

The Representation of Information in Independent Variables

Nominal or Qualitative Scales

Quantitative Scales

Missing Data

Interactions

Applications

Causal Models

The Analysis of Covariance and Its Multiple Regression/Correlation Generalization

Repeated Measurement and Matched Subjects Designs

Multiple Regression/Correlation and Multivariate Methods Appendices:

The Mathematical Basis for Multiple Regression

Correlation and Identification of the Inverse Matrix Elements

Desk Calculator Solution of the Multiple Regression

Correlation Problem: Determination of the Inverse Matrix and Applications Thereof

Computer Analysis of Multiple Regression/Correlation

Set Correlation as a General Multivariate Data-Analytic Method

Appendix Tables

Table of Contents provided by Publisher. All Rights Reserved.