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Course Topics

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance and multiple linear regression models. This short course features an introduction to the logic of SEM, the assumptions and required input for SEM analysis, and how to perform SEM analyses using the AMOS (Analysis of Moment Structures) software. We also will cover time鈥搑elated latent variables, the use of modification indices and critical ratio in exploratory analyses, computation of implied moments, factor score weights, total effects, and indirect effects.The correlation matrix of a longitudinal study data of 932 persons over the period from 1966 to 1971 with 6 measurements will be used to illustrate the concepts listed above.

The first two hours of this course covers the concepts of structural equation modeling with an application to the data set. The last hour of the course will be AMOS lab session and basics of the power analysis using R.

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