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Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis
This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling more easily. A few sections of the book make use of elementary matrix algebra. An appendix on the topic is provided for those who need a review. The author maintains an informal style so as to increase the book's accessibility. Notes at the end of each chapter provide some of the more technical details. The book is not tied to a particular computer program, but special attention is paid to LISREL, EQS, AMOS, and Mx.
New in the fourth edition of Latent Variable
* a data CD that features the correlation and covariance matrices used in the exercises;
* new sections on missing data, non-normality, mediation, factorial invariance, and automating the construction of path diagrams; and
* reorganization of chapters 3-7 to enhance the flow of the book and its flexibility for teaching.
Intended for advanced students and researchers in the areas of social, educational, clinical, industrial, consumer, personality, and developmental psychology, sociology, political science, and marketing, some prior familiarity with correlation and regression is helpful.
New in the fourth edition of Latent Variable
* a data CD that features the correlation and covariance matrices used in the exercises;
* new sections on missing data, non-normality, mediation, factorial invariance, and automating the construction of path diagrams; and
* reorganization of chapters 3-7 to enhance the flow of the book and its flexibility for teaching.
Intended for advanced students and researchers in the areas of social, educational, clinical, industrial, consumer, personality, and developmental psychology, sociology, political science, and marketing, some prior familiarity with correlation and regression is helpful.
- GenresResearch
332 pages, Hardcover
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