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Confirmatory Factor Analysis A Preface to LISREL

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ISBN-10: 080392044X

ISBN-13: 9780803920446

Edition: 1983

Authors: John Scott Long

List price: $42.00
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Description:

A statistical method which will appeal to two groups in particular: those who are currently using the more traditional technique of exploratory factor analysis; and those who are interested in the analysis of covariance structures, commonly known as the LISREL model. The first group will find that this technique may be more appropriate to the analysis of their research problems; while the second group will find that confirmatory factor analysis is a useful first step to understanding the LISREL model, for this book, and its companion volume, Covariance Structure Models, are designed to be read consecutively. The proofs presented are simple, but the reader must feel comfortable with matrix…    
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Book details

List price: $42.00
Copyright year: 1983
Publisher: SAGE Publications, Incorporated
Publication date: 9/1/1983
Binding: Paperback
Pages: 88
Size: 5.20" wide x 8.20" long x 0.20" tall
Weight: 0.242
Language: English

Scott Long is Distinguished Professor and Chancellor#8242;s Professor of Sociology and Statistics at Indiana University, Bloomington. He teaches quantitative methods both at Indiana University and at the ICSPR Summer Program. His earlier research examined gender differences in the scientific career. In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality.

Notation
Preface
Series Editor's Introduction
Introduction
Exploratory Versus Confirmatory Factor Analysis
Structural Relations Among Common Factors
Organization of the Monograph
Specification of the Confirmatory Factor Model
An Informal Introduction
A Formal Specification
The Covariance Structure
Identification of the Confirmatory Factor Model
Estimation and Identification
Identification
Conditions for Identification
Scale Indeterminacy and Setting a Metric
Estimation of the Confirmatory Factor Model
Unweighted Least Squares
Scale Dependency
Generalized Least-Squares and Maximum Likelihood
Practical Considerations
Assessment of Fit in the Confirmatory Factor Model
Examining Values of the Parameters
Variances and Covariances of the Estimates
Chi-Square Goodness-of-Fit Tests
Nested Models and Difference of Chi-Square Tests
Specification Searches
Standardization
Conclusions
Correlations and Standard Deviations from Wheaton/Hennepin Sample
Software to Estimate the Confirmatory Factor Model (CFM)
Notes
References
About the Author