Factor scores in multilevel analysis PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
 Sharyn L. Rosenberg posted on Monday, July 03, 2006 - 5:41 am
I am wondering whether Mplus can save factor scores and standard errors from a level 2 (between level) factor.
 Thuy Nguyen posted on Monday, July 03, 2006 - 11:48 am
With SAVEDATA and the option SAVE=FSCORES, Mplus can save factor scores for a between level factor. Mplus does not compute the standard errors for the factor scores.
 Melvin C Y posted on Monday, February 06, 2012 - 10:10 pm
I am comparing the output using observed score obtained via summative score (1-5) and factor score method. In the factor score method, I ran an initial CFA with WLSMV estimator and saved the factor scores. I believe this is similar to the recomputing of raw scores into normalized scores procedure in Prelis.
Both models had identical set up for within and between model commands. The model using summative observed scores converged. However, the model with factor scores could not converge with a long message that the estimated within covariance matrix is not positive definite as it should be. Did I miss something?

 Linda K. Muthen posted on Tuesday, February 07, 2012 - 5:36 pm
Please send the two outputs and your license number to support@statmodel.com.
 Erik Sengewald posted on Friday, March 14, 2014 - 2:08 am
Dear Mplus team,
I conducted a multilevel factor analysis model for studentsí evaluation of teaching with students as level one and courses at level 2. One version uses categorical indicators and another one assumes the indicators to be continuous. I estimated factor scores of the level two latent variables and observed a zero correlation between the factor scores of the first and second model. The models have seven latent variables on within and between with no restrictions on loadings, intercepts, mean and thresholds. The estimator is always Bayes and the modelfit is fine. I estimate 50 plausible values (psv) and obtained a nonzero mean for the psv when I use categorical indicators although the mean of the latent variable is zero. However, correlating only the psv value of the first imputation of this model with the psv of the model using continuous indicators the correlation is reasonable high (.85). Additionally the distribution of this first imputation differs significant from the 49 other imputations. I would like to use the factor scores of the model with categorical indicators for further analysis. What am I doing wrong? Do I need to fix model parameters such as thresholds for the categorical indicator model?
 Bengt O. Muthen posted on Friday, March 14, 2014 - 9:03 am
Please send data, the relevant outputs, and your license number to

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