Clustered nominal outcomes PreviousNext
Mplus Discussion > Categorical Data Modeling >
 Alex Chavez posted on Thursday, August 19, 2010 - 11:35 am
I have 3 nominal responses (each with three levels) from different experimental conditions and J covariates for each of 32 subjects (32 x 3+J matrix). I have previously modeled this data in R using a multinomial logistic model with a random subject-level intercept. My goal is to make inferences about the probabilities of each response level across conditions and to test for an overall effect of condition, while controlling for within-participant correlation. Is using the CLUSTER option in Mplus on participant IDs a viable approach for the model, and would this estimate random intercept variances? Are there other models I might consider?
 Linda K. Muthen posted on Thursday, August 19, 2010 - 4:08 pm
It sounds like you have multivariate data with more than one variable per person. This does not require multilevel analysis using the CLUSTER option. Multivariate analysis handles this automatically.
Back to top
Add Your Message Here
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Options: Enable HTML code in message
Automatically activate URLs in message