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Multivariate Analysis for the Biobehavioral and Social Sciences

A Graphical Approach
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach offers a clear and practical introduction to essential multivariate statistical methods using SAS®, STATA®, and SPSS®. Emphasising well-designed graphical representations, it guides readers through factor analysis, canonical correlation, MANOVA, the general linear model, and more. Real-world case studies and step-by-step demonstrations make complex concepts accessible to those in social and biobehavioral sciences.
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Format: Hardback
$32400

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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for graduate students in behavioural, health, and social sciences studying multivariate statistics. It is also a valuable reference for researchers and professionals in these fields seeking practical insights into multivariate data analysis and visualisation.

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An insightful guide to understanding and visualizing multivariate statistics using SAS(R), STATA(R), and SPSS(R) Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

An insightful guide to understanding and visualising multivariate statistics using SAS®, STATA®, and SPSS®.

Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book 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-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods. The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore 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 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 behavioural, 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, behavioural, and health sciences who would like to learn more about multivariate analysis and its relevant applications.

Book Details

INFORMATION

ISBN: 9780470537565

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 24 January 2012

Country: United States

Imprint: John Wiley & Sons Inc

Illustration: Graphs: 100 B&W, 0 Color

Audience: Professional and scholarly

DIMENSIONS

Spine width: 36.0mm

Width: 163.0mm

Height: 246.0mm

Weight: 875g

Pages: 496

About the Author

Bruce L. Brown, PhD, is Professor of Psychology at Brigham YoungUniversity. He has over thirty years of academic experience workingwith large scale data analysis methods, and he currently focuseshis research on applying these methods to cognitive neuroscienceand vocal emotion. Suzanne B. Hendrix, PhD, is President of Pentara Corporation andan independent consultant to the pharmaceutical industry, withextensive experience in clinical biostatistics. Dr. Hendrix'scurrent areas of research interest include clinical trial designand reporting in neurodegenerative diseases such as Alzheimer's andParkinson's. Dawson W. Hedges, MD, is Professor of Psychology at BrighamYoung University. He has published extensively in his areas ofresearch interest, which include neuroimaging, posttraumatic stressdisorder, psychopharmacology, and psychopathology. Timothy B. Smith, PhD, is Chair of the Department of CounselingPsychology and Special Education at Brigham Young University. Hecurrently focuses his research on multiculturalism and diversity aswell as spirituality and religion in education or counseling.

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