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, 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.
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.
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?