Elements of Structural Equation Models (Sems)
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Overview
Elements of Structural Equation Models (SEMs) blends theoretical foundations with practical applications, serving as both a learning tool and a lasting reference. Synthesizing material from diverse sources, including the author's own contributions, it provides a rigorous yet accessible guide for graduate students, faculty, and researchers across social, behavioral, health, and data sciences. The book covers essential SEM concepts - model assumptions, identification, estimation, and diagnostics - while also addressing advanced topics often overlooked, such as Bayesian SEMs, model-implied instrumental variables, and categorical variables. Readers will gain insights into missing data, longitudinal models, and comparisons with Directed Acyclic Graphs (DAGs). By presenting complex technical content in a clear, structured way, this authoritative resource deepens readers' understanding of SEMs, making it an indispensable guide for both newcomers and experts seeking a definitive treatment of the field.
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Details
- ISBN-13: 9781009312844
- ISBN-10: 1009312847
- Publisher: Cambridge University Press
- Publish Date: February 2026
- Dimensions: 10 x 7 x 1.3 inches
- Shipping Weight: 2.43 pounds
- Page Count: 646
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