Elements of Structural Equation Models (SEMs)
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- Publisher:
- Cambridge University Press
- Publication date:
- 05 February 2026
- 19 February 2026
- ISBN:
- 9781009312806
- 9781009312820
- 9781009312844
- Dimensions:
- (254 x 178 mm)
- Weight & Pages:
- 1.328kg, 646 Pages
- Dimensions:
- (254 x 178 mm)
- Weight & Pages:
- 1.206kg, 646 Pages
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Book description
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.
Reviews
‘Ken Bollen has written yet another gem that any researcher should have on their book shelf. It is hard to believe he could top his original text on SEM, but that is exactly what he has done here. Elements offers a comprehensive and modern perspective on the foundations of SEM presented in a clear and accessible style by one of the world's experts in the field. This will serve as the gold standard for years to come.'
Patrick J. Curran - Professor of Quantitative Psychology, University of North Carolina, USA
‘In Elements of Structural Equation Models (SEMs), Prof. Bollen delivers an outstanding textbook suited for diverse audiences. Graduate students, researchers, and experienced practitioners will find great value in its clarity and depth. By presenting complex concepts in an accessible manner without oversimplification, this book reinforces Prof. Bollen's legacy as a leading voice in the field.'
Silvia Bianconcini - Professor of Statistics, University of Bologna, Italy
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