Multivariate analysis for the biobehavioral and social sciences : a graphical approach /
Bruce L. Brown [and others].
- Hoboken, N.J. : Wiley, 2012.
- 1 online resource (xiv, 475 pages)
Includes bibliographical references and indexes.
Frontmatter -- Overview of Multivariate and Regression Methods -- The Seven Habits of Highly Effective Quants: A Review of Elementary Statistics Using Matrix Algebra -- Fundamentals of Matrix Algebra -- Factor Analysis and Related Methods: Quintessentially Multivariate -- Multivariate Graphics -- Canonical Correlation: The Underused Method -- Hotelling's as the Simplest Case of Multivariate Inference -- Multivariate Analysis of Variance -- Multiple Regression and the General Linear Model -- Appendices: Statistical Tables -- Name Index -- Subject Index.
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.
9781118131626 1118131622 9781283332255 1283332256 9781118131596 1118131592 9781118131619 1118131614
EB00062731 Recorded Books
10.1002/9781118131626 Wiley InterScience http://www3.interscience.wiley.com
Social sciences--Statistical methods.
Multivariate analysis.
Multivariate Analysis.
Statistics as Topic.
Social Sciences.
Behavioral Research.
MATHEMATICS--Probability & Statistics--Multivariate Analysis.
Multivariate analysis.
Social sciences--Statistical methods.
Electronic books.
HA29 / .B82857 2012
300.1/519535
Includes bibliographical references and indexes.
Frontmatter -- Overview of Multivariate and Regression Methods -- The Seven Habits of Highly Effective Quants: A Review of Elementary Statistics Using Matrix Algebra -- Fundamentals of Matrix Algebra -- Factor Analysis and Related Methods: Quintessentially Multivariate -- Multivariate Graphics -- Canonical Correlation: The Underused Method -- Hotelling's as the Simplest Case of Multivariate Inference -- Multivariate Analysis of Variance -- Multiple Regression and the General Linear Model -- Appendices: Statistical Tables -- Name Index -- Subject Index.
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.
9781118131626 1118131622 9781283332255 1283332256 9781118131596 1118131592 9781118131619 1118131614
EB00062731 Recorded Books
10.1002/9781118131626 Wiley InterScience http://www3.interscience.wiley.com
Social sciences--Statistical methods.
Multivariate analysis.
Multivariate Analysis.
Statistics as Topic.
Social Sciences.
Behavioral Research.
MATHEMATICS--Probability & Statistics--Multivariate Analysis.
Multivariate analysis.
Social sciences--Statistical methods.
Electronic books.
HA29 / .B82857 2012
300.1/519535