Newbie, Some advice with LCA much app... PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
Message/Author
 maxkhun posted on Thursday, March 31, 2016 - 12:03 pm
I have a sample individuals with bipolar disorder, a #neurocognitive tests (all continuous) and scores personality traits (also continuous). Categorical variables are gender, race, etc which I would like to covariate for. Hypothesis is that individuals with certain personalities would have a different neurocognitive profile. I have no experience with LCA but I thought this analysis would answer my Q. Any help would b appreciated.

Variable:
NAMES ARE age gender race diag moods CARS HRSD ##I want to use these as covariates
tempaDZ tempaCZ tempaHZ tempaxZ tempaiZ ## these are personality questionnaires looking at their "temperaments"
SPQcpZ SPQipZ SPQdisZ SPQtotZ wrat3 ## more personality questionnaires looking at the "schizophrenia like personality" and IQ
sop av wm vis rps sc cvlt1_5; ##these are T scores of the Neurocognitive tests
USEVARIABLES age gender race diag moods CARS
HRSD tempaDZ tempaCZ tempaxZ tempaiZ
SPQcpZ SPQipZ SPQdisZ wrat3
sop av wm vis rps sc cvlt1_5 ;
CATEGORICAL = gender race diag;
CLASSES = c(4);
Analysis:
TYPE = MIXTURE ;
ALGORITHM=INTEGRATION;
MODEL:
%OVERALL%
c#1-c#3 ON age gender race diag moods CARS HRSD;
output:
tech11 tech14 ;
PLOT:
TYPE = PLOT3;
SERIES = tempaDZ tempaCZ tempaxZ tempaiZ SPQcpZ SPQipZ SPQdisZ sop av wm vis rps sc cvlt1_5 (*);
 Linda K. Muthen posted on Thursday, March 31, 2016 - 3:02 pm
LCA is covered in the Topic 5 course video on the website. That might be a good place to start.
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