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Measurement Models

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All 2016 slides, Mplus input, Mplus data in one ZIP file (click here [Dropbox] or here [AWS]).

2016 Slide Sets
Day 1 Slides: Introduction to SEM and Mplus (PDF)
supplemental slides: one-pager on Mplus parameter arrays (PDF)  <- the decoder ring
supplemental slides: Path diagrams, equations, and Mplus code (1up PDF) or (2up PDF<-  these are new 8/4
Day 2 Slides: IRT models in Mplus (PDF)
Day 3 Slides: Non-uniform differential item functioning and special modeling features (PDF)

Examples: Mplus Command Files and Data Files
(Note all OUTput PDFs are embedded in slide sets above)
 Day    
 Example  Description  INP  DAT  OUT (PDF)
 1  ex0100  Display sample statistics  ex0100.inp  ex0101.dat  pdf
   ex0101  Exploratory factor analysis  ex0101.inp  ex0101.dat  pdf
   ex0102  Confirmatory factor analysis (CFA)  ex0102.inp  ex0101.dat  pdf
   ex0103  Bifactor model  ex0103.inp  ex0101.dat  pdf
   ex0105  CFA with covariates  ex0105.inp  ex0101.dat  pdf
   ex0106  CFA with covariates & modindices  ex0106.inp  ex0101.dat  pdf
 2  ex0200  CFA with categorical indicators  ex0200.inp  ex0200.dat  pdf
   ex0200a  MIMIC Model (CFA with covariates)  ex0200a.inp  ex0201.dat  pdf
   ex0200b  CFA with covariates, standardized  ex0200b.inp  ex0201.dat  pdf
   ex0201a  MIMIC  ex0201a.inp  ex0201.dat  pdf
   ex0201b  MIMIC, direct effect, savedata = difftest  ex0201b.inp  ex0201.dat  pdf
   ex0201c  MIMIC, analysis  = difftest  ex0201c.inp  ex0201.dat  pdf
 3  ex0301  Non-uniform DIF, multiple group CFA   ex0301.inp  ex0201.dat  pdf
   ex0301a  Non-uniform DIF, MLR missing data  ex0301a.inp ex0301a.dat   pdf
   ex0301b  Non-uniform DIF, LV interaction  ex0301b.inp  ex0201.dat  pdf
   ex0302  Complex sampling weights  ex0302.inp  ex0302.dat  pdf
   ex0303  Confirmatory factor mixture model  ex0303.inp  ex0303.dat  pdf
   ex03052  Exploratory factor mixture model  ex03052.inp  ex03052.dat  pdf
   ex0401  CFA with Bayesian estimation  ex0401.inp  ex0401.dat  pdf
Notes: DIF, differential item functioning; LV, latent variable; MIMIC, multiple indicators, multiple causes; 

Examples: R/Lavaan 

Data in other formats:
MSQ data from EPESE (SAV, SAS7BDAT, DTA, CSV [msq3-msq9 site id male age white educ])
CESD data from EPESE (SAV, SAS7BDAT, DTA, CSV [sad blues depress happy enjoy hopeful age male educ site id black white])

Trouble with download links?
Most of the download links on this page point to my Dropbox. It may be that your institution blocks access to Dropbox. If that is the case, try the zip file posted on this Amazon Web Services site. If that fails, send an email to info@lvmworkshop.org or wait for a USB stick on-site.

Visit this page to see downloads from previous workshops