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 Xu, Man posted on Tuesday, May 01, 2012 - 10:00 am
Dear Dr. Muthen,

I am trying to fit some bi-factor models. I recently came across the paper about exploratory bi-factor analysis from Psychometrika. I am not a mathematician but I found the idea behind is rather appealing, that is to take an exploratory point of view to the bi-factor model.

I was wondering if there is any possibility to do such an analysis in Mplus? And if so can I go about to specify it?

Thank you!

Kate
 Bengt O. Muthen posted on Tuesday, May 01, 2012 - 10:17 am
Exploratory bi-factor analysis is available in the upcoming Version 7 of Mplus. Not only for continuous variables as in that article, but also for categorical variables.
 Xu, Man posted on Tuesday, May 01, 2012 - 10:25 am
Thank you, that's good news! When is the Mplus V7 available please? And at the mean time, do you now if there are any other packages that can do this? I vaguely know the R package Psych has something relevant but not sure whether it is for categorical variables.
 Bengt O. Muthen posted on Tuesday, May 01, 2012 - 1:34 pm
I don't know of other packages doing this. Mplus Version 7 is scheduled to be released late summer, early Fall.
 Selahadin Ibrahim posted on Tuesday, May 08, 2012 - 5:18 am
Hello Dr. Muthen,

I am fitting a bi-factor model with one general and three specific factors.
i get non-convergence when the specific factors are orthogonal. when i free one of the correlations of the specific factors the model converges and fits well and the loadings on one of the specific factors become all trivial.
does it make sense to estimate the correlations of the specific factors in a beef-factor model? I appreciate any help on this.

Thanks,
Selahadin
 Linda K. Muthen posted on Tuesday, May 08, 2012 - 9:16 am
Please send the output with covariances at zero, the output with covariances free, and your license number to support@statmodel.com.
 Selahadin Ibrahim posted on Tuesday, May 08, 2012 - 12:04 pm
Dear Linda,

the model with the covariances at 0 did not converge. i only have the model with the co-variances estimated. i will send you the output. should the correlations between the specific factors always be zero or should we estimate them and compare the model with the correlations zero - and choose the better fitting one?

thanks
selahadin
 Linda K. Muthen posted on Tuesday, May 08, 2012 - 2:43 pm
I would still need to see both outputs even if they did not both converge.
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