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Factor Analysis, SEM, Multilevel & Longitudinal Modeling Books

You are currently browsing 1–10 of 37 new and published books in the subject of Factor Analysis, SEM, Multilevel & Longitudinal Modeling — 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. Longitudinal Analysis

    Modeling Within-Person Fluctuation and Change

    By Lesa Hoffman

    Series: Multivariate Applications Series

    Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building...

    Published November 26th 2014 by Routledge

  2. Multiple Factor Analysis by Example Using R

    By Jérôme Pagès

    Series: Chapman & Hall/CRC The R Series

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the...

    Published November 20th 2014 by Chapman and Hall/CRC

  3. Structural Equation Modeling With Lisrel, Prelis, and Simplis

    Basic Concepts, Applications, and Programming

    By Barbara M. Byrne

    Series: Multivariate Applications Series

    This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic...

    Published September 11th 2014 by Psychology Press

  4. Latent Variable Modeling Using R

    A Step-by-Step Guide

    By A. Alexander Beaujean

    This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected...

    Published May 6th 2014 by Routledge

  5. 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 19th 2014 by Psychology Press

  6. The Structure of Human Abilities (Psychology Revivals)

    By Philip E. Vernon

    Series: Psychology Revivals

    First published in 1950, this revised edition of The Structure of Human Abilities was published in 1961, but remained largely unchanged from the original save for an additional supplement on the developments in factorial work on human abilities from 1950-1959. Much research had been carried out...

    Published October 4th 2013 by Routledge

  7. Multilevel and Longitudinal Modeling with IBM SPSS

    2nd Edition

    By Ronald H. Heck, Scott L. Thomas, Lynn N. Tabata

    Series: Quantitative Methodology Series

    This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and...

    Published July 22nd 2013 by Routledge

  8. 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 9th 2013 by Psychology Press

  9. Current Topics in the Theory and Application of Latent Variable Models

    Edited by Michael C. Edwards, Robert C. MacCallum

    This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent...

    Published December 6th 2012 by Routledge

  10. 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 16th 2012 by Psychology Press