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.
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.
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