I get: THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NON-POSITIVE DEFINITE FIRST-ORDER DERIVATIVE PRODUCT MATRIX. THIS MAY BE DUE TO THE STARTING VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE CONDITION NUMBER IS 0.176D-10. PROBLEM INVOLVING PARAMETER 10.
THE MODEL ESTIMATION TERMINATED NORMALLY
There are no cat. vars. Par. 10 is alpha for MFQFREQ.
This may happen if any of your variables ASI, DRS are binary. You should also consider centering each of these variable before creating their interaction. Furthermore, I assume that you have more than 10 clusters and that you get SEs.
Thank you for your help -- there are no binary variables, and I have 50 clusters and can get SEs. I centered in SPSS and this worked perfectly. However, that means that the centering was grand mean rather than group mean. Is that appropriate? Or do I need to group mean center?
I am trying to specify a 1-1-1 model as suggested by Preacher, Zyphur, & Zhang (2010). I used STAND on the Output command but I don't receive stndardized results for "New/Additional Parameters". Are they not available?
Lewina Lee posted on Sunday, March 30, 2014 - 5:37 pm
Thanks, Dr. Muthen. Can I ask a follow-up question:
My dataset contains data from 3 occasions (Level 1) per person (Level 2). I'm treating the multilevel model as a repeated measures design without explicitly modeling how the dependent variable changes over time. Is there a limit to the number of random effects I can include?