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 (*);