Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

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  • Edition: 2nd
  • Format: Hardcover
  • Copyright: 3/1/1984
  • Publisher: Lawrence Erlbau
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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
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
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.

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