Textbooks: Factor Analysis, SEM, Multilevel & Longitudinal Modeling

  • A Beginner's Guide to Structural Equation Modeling

    Fourth Edition

    By Randall E. Schumacker, Richard G. Lomax

    Considered the most comprehensive of the introductory guides to structural equation modeling (SEM), this accessible text prepares readers to conduct their own analysis and critique related research. The comprehensive review of both basic concepts and a wide variety of SEM model applications…

    Paperback – 2015-11-13 
    Routledge

  • Longitudinal Structural Equation Modeling

    A Comprehensive Introduction

    By Jason T. Newsom

    This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling options are available for which hypotheses. The author demonstrates how SEM is related to other longitudinal data techniques throughout. By exploring…

    Paperback – 2015-06-18
    Routledge
    Multivariate Applications Series

  • Latent Variable Modeling with R

    By W. Holmes Finch, Brian F. French

    This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R,…

    Paperback – 2015-06-16
    Routledge

  • Longitudinal Analysis

    Modeling Within-Person Fluctuation and Change

    By Lesa Hoffman

    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…

    Paperback – 2014-12-04
    Routledge
    Multivariate Applications Series

  • 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…

    Paperback – 2014-05-06
    Routledge

  • Structural Equation Modeling with Mplus

    Basic Concepts, Applications, and Programming

    By Barbara M. Byrne

    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…

    Paperback – 2011-07-21
    Routledge
    Multivariate Applications Series

  • Multilevel Analysis

    Techniques and Applications, Second Edition

    By Joop J. Hox, Mirjam Moerbeek, Rens van de Schoot

    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…

    Paperback – 2010-04-26
    Routledge
    Quantitative Methodology Series

  • A Beginner's Guide to Structural Equation Modeling

    Third Edition

    By Randall E. Schumacker, Richard G. Lomax

    This best-seller introduces readers to structural equation modeling (SEM) so they can conduct their own analysis and critique related research. Noted for its accessible, applied approach, chapters cover basic concepts and practices and computer input/output from the free student version of Lisrel…

    Paperback – 2010-04-21
    Routledge

  • Latent Variable Models

    An Introduction to Factor, Path, and Structural Equation Analysis, 4th Edition

    By John C. Loehlin, A. Alexander Beaujean

    This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation…

    Hardback – 2003-12-01
    Routledge

Product Search