I'm attempting to conduct ESEM within CFA (EWC) with 3-level ordered categorical indicators.
I have example input for continuous data, which uses ESEM results as start values for factor loadings, means and residual variance, while fixing the factor variance to 1 and fixing one cross loading per factor to its ESEM value.
I've tried to apply this analysis to my own categorical data, omitting residual variance specifications and using thresholds in the place of means:
Output error message: THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE COMPUTED. THE MODEL MAY NOT BE IDENTIFIED...
I would be very grateful for any advice on how to conduct EWC with categorical data (e.g., Is it correct to use thresholds in place of means? What additional constraint(s) should be included for identification?).
It sounds like you are applying only 2*m restrictions to the EFA model with m factors. You need to specify m*m restrictions for the model to be identified. See our handout and video of Topic 1 on our website.