xiao guo posted on Wednesday, September 12, 2018 - 10:10 am
Hi! I want to use the factor mixture modeling. but the item of one factor are CATEGORICAL,another are continuous.Can I use the factor mixture modeling analyse my data? thank you! ######## the code : VARIABLE: NAMES ARE u1-u30 t1-t30; CLASS=C(2); ANALYSIS: TYPE=MIXTURE; ESTIMATOR=MLR; STARTS = 100 20; PROCESSOR=2; MODEL: %OVERALL% ab BY u1-u30*; sp BY t1-t30@-1; ab@1; sp@1; ab with sp; u1-u30 PWITH t1-t30; %C#1% ! [ab*]; [sp*];
xiao guo posted on Wednesday, September 12, 2018 - 10:30 am
Add a question on the content above： how can I set the Correlated residuals Between continuous and CATEGORICAL variables？ eg:u1-u30 PWITH t1-t30; thank you for your help!
With Bayes you get a distribution for each subject (so like imputation), that is, the nominal variable gets proportions for each category - plus you get the most likely class. See the FAQ on our website:
Cprobabilities with Bayes
xiao guo posted on Sunday, September 16, 2018 - 11:56 pm
thank you! when I set the Correlated residuals Between continuous and CATEGORICAL variables,I found that" THE MODEL CONTAINS A NON-ZERO CORRELATION BETWEEN DEPENDENT VARIABLES. SUCH CORRELATIONS ARE IGNORED IN THE COMPUTATION OF THE FACTOR SCORES.". If I want such correlations affect the factor scores ,how can I do it? Thank you for your kindness!