Correlated factor model PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
Message/Author
 EmilyBo posted on Wednesday, April 05, 2017 - 9:10 pm
How can I obtain the biserial correlation between f1 and c in the Mplus output file? Here is my Mplus code:

VARIABLE:
NAMES = X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 RT_X1 RT_X2 RT_X3 RT_X4 RT_X5 RT_X6 RT_X7 RT_X8 RT_X9 RT_X10 RT_X11 RT_X12 RT_X13 RT_X14 RT_X15 RT_X16 RT_X17 RT_X18 RT_X19 RT_X20 RT_X21 ST_ID;
MISSING=.;
CATEGORICAL = X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21;
CLASSES = c(2);
Auxiliary = ST_ID;
ANALYSIS:
TYPE=MIXTURE;
START=0;
ALGORITHM = INTEGRATION EM;
Model:
%OVERALL%
f1 with c;
f1 BY X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21;
%c#1%
[RT_X1 RT_X2 RT_X3 RT_X4 RT_X5 RT_X6 RT_X7 RT_X8 RT_X9 RT_X10 RT_X11 RT_X12 RT_X13 RT_X14 RT_X15 RT_X16 RT_X17 RT_X18 RT_X19 RT_X20 RT_X21];
%c#2%
[RT_X1 RT_X2 RT_X3 RT_X4 RT_X5 RT_X6 RT_X7 RT_X8 RT_X9 RT_X10 RT_X11 RT_X12 RT_X13 RT_X14 RT_X15 RT_X16 RT_X17 RT_X18 RT_X19 RT_X20 RT_X21];
f1@1;
OUTPUT: TECH3;

Thanks a lot in advance.
 Bengt O. Muthen posted on Thursday, April 06, 2017 - 5:47 pm
You don't.

The f1 with c statement is not Mplus language.

Instead, their relationship is characterized by different means and variances for f1 given different c classes.
Back to top
Add Your Message Here
Post:
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Password:
Options: Enable HTML code in message
Automatically activate URLs in message
Action: