An Introduction to Multilevel Modeling Techniques

MLM and SEM Approaches

Scott L Thomas author Ronald Heck author

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:7th Apr '20

Currently unavailable, and unfortunately no date known when it will be back

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An Introduction to Multilevel Modeling Techniques cover

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives.

New to this edition:

  • An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals;
  • Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches;
  • Expanded coverage illustrating different model-building sequences and how to use results to identify possible model improvements;
  • An expanded set of applied examples used throughout the text;
  • Use of four different software packages (i.e., Mplus, R, SPSS, Stata), with selected examples of model-building input files included in the chapter appendices and a more complete set of files available online.

This is an ideal text for graduate courses on multilevel, longitudinal, latent variable modelling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology. Recommended prerequisites are introductory univariate and multivariate statistics.

"Developing a basic modeling strategy that researchers can follow to investigate multilevel data structures can be challenging. Heck and Thomas have once again presented a must-have reference book to get the job done. This edition’s use of four different software packages and additional easy-to-follow illustrative examples enhance what was already a superb resource for both students and researchers." – George A. Marcoulides, University of California, Santa Barbara, USA

ISBN: 9780367182427

Dimensions: unknown

Weight: 671g

388 pages

4th edition