LCA for egocentric social network data PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
Message/Author
 Paul Sacamano posted on Wednesday, October 04, 2017 - 11:10 am
I have egocentric social network data for 835 survey respondents and up to 5 of their social network members. In long form, the total number of ego-alter ties is 2961.

I have 8 questions as indicators of social support (binary, yes or no) for each of the ego-alter ties.

I theorize that there are latent constructs of social support underlying these observed indicators and believe that LCA would be an appropriate approach.

How can I account for the correlation of the data, that ego-alter ties are essentially nested under 835 egos (participants)?

I've run LCA with analysis = mixture and analysis = complex mixture with cluster = id. Model fit and probabilities are the same for both.

Here's an example:
VARIABLE:
Names = id ss1argu45 ss2talk5 ss3corn5 ss4pitc5 ss5loan5 ss6stay5 ss7advi5 ss8unde5;
Categorical = ss1argu45 ss2talk5 ss3corn5 ss4pitc5 ss5loan5 ss6stay5 ss7advi5 ss8unde5;
Missing are all (-9999) ;
Classes = c(3) ;
Cluster = id ;
ANALYSIS:
Type = complex mixture ;
Starts = 100 20 ;
Output:
tech10 tech11
 Bengt O. Muthen posted on Wednesday, October 04, 2017 - 3:44 pm
A key question is if the latent class variable is a within- or a between-level variable. If the classes represent subjects, the latent class variable should be on the Between = list in a Type=Twolevel analysis. The User's Guide shows several such examples.
 Paul Sacamano posted on Tuesday, October 10, 2017 - 3:30 pm
Thank you Dr. Muthen. I've attempted the Type=Twolevel analysis, but am unable to identify the latent classes in the output. If it helps, I am only looking at LCA to determine classes and class membership in the measurement model at this point.
 Bengt O. Muthen posted on Tuesday, October 10, 2017 - 4:36 pm
You need to use Type = Twolevel Mixture. Look for UG examples in that chapter.
 Paul Sacamano posted on Friday, November 17, 2017 - 7:15 am
This worked. Thanks.

I now would like to construct a model using multinomial logistic regression to identify associations with class membership.

I've tried doing both the LCA and model in the same input file, but get different diagnostics and probabilities for the LCA section.

Is there a way to perform both the the LCA and multinomial regression in the same input file?
 Bengt O. Muthen posted on Friday, November 17, 2017 - 12:19 pm
You can do it in the same input file; see UG ex7.12.
 Paul Sacamano posted on Monday, November 27, 2017 - 8:50 am
Thank you Dr. Muthen.

In the tech10 output of the twolevel mixture analysis, the response patterns and frequencies are reported.

I am trying to assess the response patterns by each latent class. Is it possible to see the tech10 output organized by class?
 Bengt O. Muthen posted on Monday, November 27, 2017 - 5:06 pm
No.
 Paul Sacamano posted on Sunday, December 03, 2017 - 8:49 am
I renewed my license going from version 7 to 8.

Now, when running my twolevel mixture LCA I get the following error message.

"Warning: One or more individual-level variables have no variation within a cluster for the following clusters"

Is this related to the new version? My data/input file have not changed.
 Bengt O. Muthen posted on Sunday, December 03, 2017 - 11:05 am
See our FAQ

WARNING One or more individual-level variables have no within-cluster variance
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