E-Book, Englisch, 496 Seiten, E-Book
Brown / Hendrix / Hedges Multivariate Analysis for the Biobehavioral and Social Sciences
1. Auflage 2011
ISBN: 978-1-118-13161-9
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A Graphical Approach
E-Book, Englisch, 496 Seiten, E-Book
ISBN: 978-1-118-13161-9
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
An insightful guide to understanding and visualizing multivariatestatistics using SAS®, STATA®, and SPSS®
Multivariate Analysis for the Biobehavioral and Social Sciences:A Graphical Approach outlines the essential multivariate methodsfor understanding data in the social and biobehavioral sciences.Using real-world data and the latest software applications, thebook addresses the topic in a comprehensible and hands-on manner,making complex mathematical concepts accessible to readers.
The authors promote the importance of clear, well-designedgraphics in the scientific process, with visual representationsaccompanying the presented classical multivariate statisticalmethods . The book begins with a preparatory review of univariatestatistical methods recast in matrix notation, followed by anaccessible introduction to matrix algebra. Subsequent chaptersexplore fundamental multivariate methods and related key concepts,including:
* Factor analysis and related methods
* Multivariate graphics
* Canonical correlation
* Hotelling's T-squared
* Multivariate analysis of variance (MANOVA)
* Multiple regression and the general linear model (GLM)
Each topic is introduced with a research-publication case studythat demonstrates its real-world value. Next, the question "how doyou 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 performedusing Stata®, SAS®, and SPSS®. The discussedapproaches are also applicable to a wide variety of modernextensions of multivariate methods as well as modern univariateregression methods. Chapters conclude with conceptual questionsabout the meaning of each method; computational questions that testthe reader's ability to carry out the procedures on simpledatasets; and data analysis questions for the use of the discussedsoftware packages.
Multivariate Analysis for the Biobehavioral and Social Sciencesis an excellent book for behavioral, health, and social sciencecourses on multivariate statistics at the graduate level. The bookalso serves as a valuable reference for professionals andresearchers in the social, behavioral, and health sciences whowould like to learn more about multivariate analysis and itsrelevant applications.
Autoren/Hrsg.
Weitere Infos & Material
PREFACE xiii
1 OVERVIEW OF MULTIVARIATE AND REGRESSION METHODS 1
2 THE SEVEN HABITS OF HIGHLY EFFECTIVE QUANTS: A REVIEW OFELEMENTARY STATISTICS USING MATRIX ALGEBRA 20
3 FUNDAMENTALS OF MATRIX ALGEBRA 88
4 FACTOR ANALYSIS AND RELATED METHODS: QUINTESSENTIALLYMULTIVARIATE 139
5 MULTIVARIATE GRAPHICS 227
6 CANONICAL CORRELATION: THE UNDERUSED METHOD 283
7 HOTELLING'S T 2 AS THE SIMPLEST CASE OFMULTIVARIATE INFERENCE 333
8 MULTIVARIATE ANALYSIS OF VARIANCE 351
9 MULTIPLE REGRESSION AND THE GENERAL LINEAR MODEL373
APPENDICES: STATISTICAL TABLES 443
NAME INDEX 456
SUBJECT INDEX 460




