David A. Kenny
August 28, 2003
Structural Equation Modeling

This page serves as a gate to a tutorial on structural equation modeling or SEM.  These pages provide access to the handouts that I use in my classes.  If you reproduce any of handouts, I do ask that you state the source.  Please report to me any errors or clarifications that are needed.

I strongly recommend that those interested in SEM also consult Ed Rigdon's pages.  In fact, those with knowledge of the topic would be better advised to go there right now.

Definition of SEM: linear models that have measured and possibly latent variables that have a causal structure.

To learn about a good introductory book on the topic.

To learn about an important book on causality.

Getting the revised edition of Correlation and Causality or Estimating the Effects of Social Interventions written with C. Judd.

If you have suggestions for changes, please email me.


Review of Multiple
Regression
Terminology
and Basics
Path Analysis
Instrumental Variable
Estimation
Psychometrics
One-factor Model
Multiple Factor
Models
Multitrait
Multimethod Matrix
Structural Models with
Latent Variables
Rules of
Identification
Measuring Fit
Respecification
of Models
Mediation
Composite Causes and
Second-order Factors
Multiple Groups

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