ABSTRACT

This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe

chapter 1|29 pages

Introduction to Multivariate Statistics

chapter 2|30 pages

Elements of Matrix Theory

chapter 3|37 pages

Data Screening and Preliminary Analyses

chapter 4|48 pages

1A Start-Up Example

chapter 5|33 pages

Repeated Measure Analysis of Variance

chapter 6|29 pages

Analysis of Covariance

chapter 7|29 pages

Principal Component Analysis

chapter 8|37 pages

Exploratory Factor Analysis

chapter 9|52 pages

2A Start-Up Example

chapter 10|35 pages

Discriminant Function Analysis

chapter 11|24 pages

Canonical Correlation Analysis

chapter 13|34 pages

Multivariate Analysis of Change Processes