Structural Equations with Latent Variables

Structural Equations with Latent Variables is a statistics textbook by Kenneth Bollen which describes the framework of structural equation modeling.[1] It is often used in graduate-level courses for structural equation modeling in the social sciences.

Structural Equations with Latent Variables
AuthorKenneth Bollen
LanguageEnglish
SubjectStructural equation modeling
PublisherJohn Wiley & Sons
Publication date
June 1989
Pages528
ISBN978-0-471-01171-2

Structural Equations with Latent Variables discusses LISREL and other structural equation models, and presents information on measurement validity and reliability, overall fit indices, model identification, causality, and other subjects.[2][3] The book features examples from sociology, economics, and psychology to illustrate the methods.

Chapters
  1. Introduction
  2. Model Notation, Covariances, and Path Analysis
  3. Causality and Causal Models
  4. Structural Equation Models with Observed Variables
  5. The Consequences of Measurement Error
  6. Measurement Models: The Relation between Latent and Observed Variables
  7. Confirmatory Factor Analysis
  8. The General Model, Part I: Latent Variables and Measurement Models Combined
  9. The General Model, Part II: Extensions

Reviews

Kenneth Bollen's new book, Structural Equations with Latent Variables is a "comprehensive introduction" to the LISREL approach to covariance structure analysis. It is clearly written, insightful, and complete. In it, Bollen covers both basic and advanced topics, provides his own insights into controversies and recent developments, and makes good use of empirical examples to illustrate important points. He also stresses, at every point, that substantive knowledge and the theory of the process being modeled are indispensable for using the method fruitfully. — Ross L. Matsueda (1991) [4]

Bollen’s text, Structural Equations with Latent Variables, represents an authoritative account of covariance structure modeling developments from the perspective of a sociologist who has made important contributions to both the psychometric and sociological literature on these models.

— Jeffrey S. Tanaka (1990)[5]

The book provides a relatively up-to-date state overview on studies related to covariance structure analysis for continuous variables up until 1989.

It is regarded that Bollen's book is the most extensive and attractive book on structural equations modeling currently available, going beyond a strict introductory purpose. The solidly written book contains a lot of information, and till 1989 say, a fairly complete state of the art of covariance structure analysis for continuous variables.
One major drawback of the book is that the field is still expanding so fast that some of the material was outdated as soon as soon as the author ran to the publisher with the final manuscript.

— Anne Boomsma (1991)[6]

References
  1. Jöreskog, Karl G. (1994). "Structural Equation Modeling with Ordinal Variables". Lecture Notes-Monograph Series. Institute of Mathematical Statistics Lecture Notes - Monograph Series. 24: 297–310. doi:10.1214/lnms/1215463803. ISBN 0-940600-35-8. JSTOR 4355811. The basic ideas and methods of structural equation models are explained in Bollen (1989).
  2. Bollen, Kenneth A. (April 28, 1989). Structural Equations with Latent Variables: Bollen/Structural Equations with Latent Variables. Hoboken, NJ, USA: John Wiley & Sons, Inc. doi:10.1002/9781118619179. ISBN 978-1-118-61917-9.
  3. "APA PsycNet". psycnet.apa.org. Retrieved August 26, 2022.
  4. Matsueda, Ross L. (1991). "Review of Structural Equations with Latent Variables". American Journal of Sociology. 96 (6): 1553–1555. doi:10.1086/229704. ISSN 0002-9602. JSTOR 2781918.
  5. Tanaka, J. S. (June 1990). "Book Review: Structural Equations with Latent Variables". Applied Psychological Measurement. 14 (2): 213–215. doi:10.1177/014662169001400212. S2CID 123209695.
  6. Boomsma, Anne. "Book review of K.A. Bollen (1989). Structural equations with latent variables". ResearchGate. Anne Boomsma. Retrieved May 7, 2023.
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