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The 2008 Workshop Focused on Exploratory Factor Analysis, Confirmatory Factor Analysis, Factor Analysis with Discrete Outcomes, Item Response Theory, Differential Item Functioning, and the MIMIC (Multiple Indicators, Multiple Causes) model and approach to measurement noninvariance. We also briefly touched on factor mixture models.
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Slides and Handouts * (Updated July 27, 2008) *
Day 1 Handouts
Day 2 Handouts
Day 3 Handouts
Data files
Depression data (CSV) and README from the EPESE New Haven study
Cognitive Function data (CSV) and README from the EPSEE (all sites)
A data file (also CSV but with a DAT extension) used in example for complex survey weights from the HRS
Modified depression data for Example 3.3
Mplus input files for examples (all are INP files)
Day 1 Examples (use depression data)
Example 1.1 Exploratory factor analysis (EFA)
Example 1.2 Confirmatory factor analysis (CFA)
Example 1.3 EFA in a CFA framework
Example 1.5 CFA with covariates: MIMIC model
Example 1.6 MIMIC model with direct effect
Day 2 Examples (Most use Cognitive Function data)
Example 2.1 MIMIC model
Example 2.1.a MIMIC model, open arrays for direct effects and SAVEDATA
Example 2.1.b MIMIC model with direct effect
Example 2.1.c MIMIC DIFFTEST
Day 3 Examples
Example 3.1 Multiple Group CFA of MSQ
Example 3.99 Missing data trick for non-uniform DIF
Example 3.2 Using Complex Sampling Weights
Example 3.3 Confirmatory Factor Mixture Model with Covariates and zero class (see output as ppt)