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Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis, Fifth Edition
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models. This approach helps less mathematically-inclined readers to grasp the underlying relations among path analysis, factor analysis, and structural equation modeling, and to set up and carry out such analyses. This revised and expanded fifth edition again contains key chapters on path analysis, structural equation models, and exploratory factor analysis. In addition, it contains new material on composite reliability, models with categorical data, the minimum average partial procedure, bi-factor models, and communicating about latent variable models.
The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds. Notes at the end of each chapter expand the discussion and provide additional technical detail and references. Moreover, most chapters contain an extended example in which the authors work through one of the chapter's examples in detail to aid readers in conducting similar analyses with their own data. The book and accompanying website provide all of the data for the book's examples as well as syntax from latent variable programs so readers can replicate the analyses. The book can be used with any of a variety of computer programs, but special attention is paid to LISREL and R.
An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences, education, business, and health sciences, Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables.
The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds. Notes at the end of each chapter expand the discussion and provide additional technical detail and references. Moreover, most chapters contain an extended example in which the authors work through one of the chapter's examples in detail to aid readers in conducting similar analyses with their own data. The book and accompanying website provide all of the data for the book's examples as well as syntax from latent variable programs so readers can replicate the analyses. The book can be used with any of a variety of computer programs, but special attention is paid to LISREL and R.
An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences, education, business, and health sciences, Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables.
- GenresResearch
390 pages, Paperback
First published January 1, 1987
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April 19, 2011
This is an accessible survey of structural equation models. This is a technique that, in its fullest version, combines factor analysis with path analysis. It uses maximum likelihood estimation. This is a very potent analytical tool that can provide insights to the dynamics of models. I am a political scientist; I have used SEM to assess what factors affect political phenomena.
This volume? It is readable. Some works feature scores of equations and become difficult for those who are not mathematically well attuned. In the process of reading the book, people will get some sense of different software packages (e.g., LISREL, EQS, or AMOS--the latter of which is the program that I use). There are a small handful of books on SEM that have been particularly useful to me. And this is one of that small number of key works that I depend upon in understanding this tool.
This volume? It is readable. Some works feature scores of equations and become difficult for those who are not mathematically well attuned. In the process of reading the book, people will get some sense of different software packages (e.g., LISREL, EQS, or AMOS--the latter of which is the program that I use). There are a small handful of books on SEM that have been particularly useful to me. And this is one of that small number of key works that I depend upon in understanding this tool.
Displaying 1 of 1 review