PART I FOUNDATIONS OF MULTIPLE REGRESSION ANALYSIS
The Nature of Multiple Regression Analysis Relations, Correlations, and Simple Linear Regression Elements of Multiple Regression Theory and Analysis: Two
Independent Variables General Method of Multiple Regression Analysis
Statistical Control: Partial and Semipartial Correlation

PART 2 THE REGRESSION ANALYSIS OF
EXPERIMENTAL AND NONEXPERIMENTAL
DATA
Categorical Variables, Dummy Variables, and One-Way Analysis of Variance
Dummy, Effect, and Orthogonal Coding of Categorical Variables
Multiple Categorical Variables and Factorial Designs
Trend Analysis: Linear and Curvilinear Regression Continuous and Categorical Independent Variables,
Interaction, and Analysis of Covariance
Explanation and Prediction

PART 3 MULTIPLE REGRESSION AND MULTIVARIATE ANALYSIS
Multiple Regression, Discriminant Analysis, and Canonical Correlation
Multiple Regression, Multivariate Analysis of Variance, and Factor Analysis Multivariate Regression Analysis

PART 4 RESEARCH APPLICATIONS
The Use of Multiple Regression in Behavioral Research: I
The Use of Multiple Regression in Behavioral Research: II

PART 5 SCIENTIFIC RESEARCH AND MULTIPLE
REGRESSION ANALYSIS Theory. Application, and Multiple Regression Analysis in Behavioral Research