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Multivariate Statistics Books

You are currently browsing 1–10 of 31 new and published books in the subject of Multivariate Statistics — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books

  1. Modeling Intraindividual Variability With Repeated Measures Data

    Methods and Applications

    Edited by Scott L. Hershberger, D.S. Moskowitz

    Series: Multivariate Applications Series

    This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest...

    Published March 18th 2014 by Psychology Press

  2. The Essence of Multivariate Thinking

    Basic Themes and Methods, 2nd Edition

    By Lisa L. Harlow

    Series: Multivariate Applications Series

    By focusing on underlying themes, this book helps readers better understand the connections between multivariate methods. For each method the author highlights: the similarities and differences between the methods, when they are used and the questions they address, the key assumptions and...

    Published January 12th 2014 by Routledge

  3. Latent Variable and Latent Structure Models

    Edited by George A. Marcoulides, Irini Moustaki

    Series: Quantitative Methodology Series

    This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis,...

    Published July 8th 2013 by Psychology Press

  4. New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

    Edited by L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma

    Series: Quantitative Methodology Series

    Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of...

    Published July 8th 2013 by Psychology Press

  5. A Primer of Multivariate Statistics

    3rd Edition

    By Richard J. Harris

    Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches....

    Published June 2nd 2013 by Psychology Press

  6. New Developments and Techniques in Structural Equation Modeling

    Edited by George A. Marcoulides, Randall E. Schumacker

    Featuring contributions from some of the leading researchers in the field of SEM, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel modeling,...

    Published August 15th 2012 by Psychology Press

  7. Structural Equation Modeling with Mplus

    Basic Concepts, Applications, and Programming

    By Barbara M. Byrne

    Series: Multivariate Applications Series

    Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using...

    Published July 20th 2011 by Routledge

  8. Longitudinal Data Analysis

    A Practical Guide for Researchers in Aging, Health, and Social Sciences

    Edited by Jason Newsom, Richard N. Jones, Scott M. Hofer

    Series: Multivariate Applications Series

    This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major...

    Published July 11th 2011 by Routledge

  9. Categorical Data Analysis for the Behavioral and Social Sciences

    By Razia Azen, Cindy M. Walker

    Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and...

    Published December 6th 2010 by Routledge

  10. Multilevel Analysis

    Techniques and Applications, Second Edition

    By Joop Hox, Joop Hox

    Series: Quantitative Methodology Series

    This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and...

    Published April 25th 2010 by Routledge