Includes bibliographical references (pages 197-200) and indexes.
1. Fundamentals of structural equation modeling. What is structural equation modeling? path diagrams. Rules for determining model parameters. Parameter estimation. Parameter and model identification. Model-testing and -fit evaluation -- 2. Getting to know the EQS and LISREL programs. Structure of input files for SEM programs. Introduction to the EQS notation and syntax. Introduction to the LISREL notation and syntax -- 3. Path analysis. What is path analysis? example path analysis model. EQS and LISREL input files. Modeling results. Testing model restrictions in SEM. Model modifications -- 4. Confirmatory factor analysis. What is factor analysis? an example confirmatory factor analysis model. EQS and LISREL input files. Modeling results.
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First course in structural equation modeling.
0805835687
Multivariate analysis.
Social sciences-- Statistical methods.
MATHEMATICS-- Probability & Statistics-- Multivariate Analysis.