Does this make sense? PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
Message/Author
 Tim Seifert posted on Thursday, December 07, 2006 - 1:13 pm
Most would probably test gender differences using a dummy coded regression. But I'd like your opinion about whether or not the following analysis makes sense.

Sample -- ~23000 13 year olds, a nationally representative sample, students within schools within provinces

Measures -- a latent construct (interest) and an observed variable (pass)

Analysis -- an LCA with 2 categories (gender) with gender as a knownclass. A fixed factor structure, with means/thresholds allowed to vary across groups.

MPlus syntax:
Variable:
weight is studentwt;
Usevariables are interest1 interest2 import pass;
Categorical are interest1 interest2 pass;
Cluster is schlid;
classes = gender (2);
knownclass = gender (sex=0 sex=1);

Analysis:
type=mixture meanstructure complex;
estimator=mlr;
algorithm=integration;

Model:
%Overall%
f1 by interest1@1.0 interest2@-1.0;
f1@.30;

%gender#1%
[f1 pass$1];
 Linda K. Muthen posted on Thursday, December 07, 2006 - 3:09 pm
This seems to make sense. It is multiple group factor analysis done using a KNOWNCLASS variable instead of a GROUPING. These two approaches are the same.
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: