Home | Posts RSS | Comments RSS | Login

Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach


ISBN13: 9780470537565|496pages|Hardcover|©2012|
Bruce L. Brown - University of Brigham Young
Suzanne B. Hendrix - Consultant
Dawson W. Hedges - University of Brigham Young
Timothy B. Smith - University of Brigham Young

Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata, SAS, and SPSS. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages.
Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.

Table of Contents
Ch 1 Overview of Multivariate and Regression Methods
Ch 2 The Seven Habits of Highly Effective Quants
Ch 3 Fundamentals of Matrix Algebra
Ch 4 Factor Analysis and Related Methods
Ch 5 Multivariate Graphics
Ch 6 Canonical Correlation
Ch 7 Hotelling's T2 as the Simplest Case of Multivariate Inference
Ch 8 Multivariate Analysis of Variance
Ch 9 Multiple Regression and the General Linear Model