Multivariate analysis for the biobehavioral and social sciences : a graphical approach /
Bruce L. Brown ... [et al.].
- Hoboken, N.J. : Wiley, c2012.
- xiv, 475 p. : ill. ; 25 cm.
Includes bibliographical references and indexes.
PREFACE xiii 1 OVERVIEW OF MULTIVARIATE AND REGRESSION METHODS 1 2 THE SEVEN HABITS OF HIGHLY EFFECTIVE QUANTS: A REVIEW OF ELEMENTARY STATISTICS USING MATRIX ALGEBRA 20 3 FUNDAMENTALS OF MATRIX ALGEBRA 88 4 FACTOR ANALYSIS AND RELATED METHODS: QUINTESSENTIALLY MULTIVARIATE 139 5 MULTIVARIATE GRAPHICS 227 6 CANONICAL CORRELATION: THE UNDERUSED METHOD 283 7 HOTELLING S T 2 AS THE SIMPLEST CASE OF MULTIVARIATE INFERENCE 333 8 MULTIVARIATE ANALYSIS OF VARIANCE 351 9 MULTIPLE REGRESSION AND THE GENERAL LINEAR MODEL 373 APPENDICES: STATISTICAL TABLES 443 NAME INDEX 456 SUBJECT INDEX 460
"Multivariate Analysis for the Social Sciences provides clear guidelines combined with the insight needed to understand the methods and applications of multivariate statistics. This easy-to-follow book provides students in social, behavioral, and health science-whose focus is not primarily in mathematics-with an abundance of chapter-ending questions and answers, including: conceptual questions about the meaning of each method; questions that test the reader's ability to carry out the computational procedures on simple datasets; and data analysis questions for using analytical packages to analyze both simplest case data and also to practice with more realistic datasets"--
9780470537565
2011018420
Social sciences--Statistical methods. Multivariate analysis. MATHEMATICS / Probability & Statistics / Multivariate Analysis.