Research Methods and Statistics Arena

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

• By Ronald H Heck, Scott Thomas and Lynn Tabata.

Published April 2012

This is the first workbook that introduces readers to the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to set up, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers step-by-step through data…
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Structural Equation Modeling with Mplus

Basic Concepts, Applications, and Programming

• By Barbara M. Byrne.

Published July 2011

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…
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Longitudinal Data Analysis

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

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

Published July 2011

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…
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Handbook of Advanced Multilevel Analysis

• Edited by Joop Hox, and J. Kyle Roberts.

Published July 2010

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common…
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Multilevel Analysis

Techniques and Applications, Second Edition

• By Joop Hox.

Published April 2010

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…
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A Beginner's Guide to Structural Equation Modeling

Third Edition

• By Randall E. Schumacker, and Richard G. Lomax.

Published April 2010

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…
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Multilevel and Longitudinal Modeling with IBM SPSS

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

Published April 2010

This is the first book to demonstrate how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Version 18. The authors tap the power of SPSS’s Mixed Models routine to provide an elegant and accessible approach to these models. Readers who have learned statistics using…
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Structural Equation Modeling With AMOS

Basic Concepts, Applications, and Programming, Second Edition

• By Barbara M. Byrne.

Published July 2009

This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 & 18). The author reviews SEM applications based on actual data taken from her research. Noted for its non-mathematical language, this book is written…
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An Introduction to Multilevel Modeling Techniques

• By Ronald H. Heck, and Scott L. Thomas.

Published August 2008

This comprehensive, applied approach to multilevel analysis is distinguished by its wide range of applications relevant to the behavioral, educational, organizational, and social sciences. Univariate and multivariate models are used to understand how to design studies and analyze data. Readers are…
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Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences

• Edited by Noel A. Card, James P. Selig and Todd Little.

Published July 2008

This book reviews methods of conceptualizing, measuring, and analyzing interdependent data in developmental and behavioral sciences. Quantitative and developmental experts describe best practices for modeling interdependent data that stem from interactions within families, relationships, and peer…
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