A Beginner's Guide to Structural Equation Modeling (3rd Edition) [Dr.Soc]

A Beginner's Guide to Structural Equation Modeling (Third Edition)

Author: Randall E. Schumacker, Richard G. Lomax
Paperback: 536 pages
Publisher: Routledge; 3rd edition (April 23, 2010)
Language: English
ISBN-10: 1841698911
ISBN-13: 978-1841698915
Format: PDF



Summary:
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 8.8 in the examples. Each chapter features an outline, key concepts, a summary, numerous examples from a variety of disciplines, tables, and figures, including path diagrams, to assist with conceptual understanding.

The book first reviews the basics of SEM, data entry/editing, and correlation. Next the authors highlight the basic steps of SEM: model specification, identification, estimation, testing, and modification, followed by issues related to model fit and power and sample size. Chapters 6 through 10 follow the steps of modeling using regression, path, confirmatory factor, and structural equation models. Next readers find a chapter on reporting SEM research including a checklist to guide decision-making, followed by one on model validation. Chapters 13 through 16 provide examples of various SEM model applications. The book concludes with the matrix approach to SEM using examples from previous chapters.

Highlights of the new edition include:

New troubleshooting tips on how to address the most frequently encountered problems

Expanded coverage of advanced models with more on multiple-group, multi-level, & mixture modeling (Chs. 13 & 15), second-order and dynamic factor models (Ch. 14), and Monte Carlo methods (Ch. 16)

Increased coverage of sample size and power (Ch. 5) and reporting research (Ch. 11)

New journal article references help readers better understand published research (Chs. 13 – 17) and 25 % new exercises with answers to half in the book for student review.

Designed for introductory graduate level courses in structural equation modeling or factor analysis taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. An understanding of correlation is assumed. [Amazon]