I have a question about the latent interaction model estimated by Mplus. I have a latent variable interacting with an observed variable and I have missing data on the observed variable. When I run the model the sample size is reduced from 204 to 119. Is there a way to include all cases in the analysis?
Also I standardized all of the variables in my model so that I can plot the interaction. Is that acceptable?
I have essentially the same question, so I would love to hear if you found a solution to the problem above. I have used the xwith command to estimate an interaction between an observed and a latent variable and I receive the following warning: "Data set contains cases with missing on variables used to define interactions. These cases were not included in the analysis.". If i do not include the interaction all cases are used. Is there a way to use all cases also in this situation?
Thank you so much for your help! That worked perfectly.
I had actually tried to do something similar but I did not know that i needed to add a small error variance to the second part of the interaction. If i do not do that, I receive this error message stating: THE ESTIMATED COVARIANCE MATRIX COULD NOT BE INVERTED. COMPUTATION COULD NOT BE COMPLETED IN ITERATION 1. CHANGE YOUR MODEL AND/OR STARTING VALUES.