I have ordered categorical data with 5 response options. I have missing data. In the descriptives, Mplus says I have 6 categories, which I assume is Mplus treating missingness as a "category." However, in the CFA model, Mplus is estimating 5 thresholds per variable rather than 4. With 5 ordered categories, it is my understanding there should only be 4 thresholds per variable. I am worried Mplus is treating missingness as a 6th "category" and including that in the model.
Here are select lines of my input:
usevar V_app1 V_app2 V_app3 V_app4 V_app5; missing are all (-9999); categorical are all; analysis: type = general missing; estimator = WLSMV; model: app by V_app1 V_app2 V_app3 V_app4 V_app5;
Thresholds V_APP1$1 -2.672 0.237 -11.280 0.000 V_APP1$2 -1.692 0.095 -17.852 0.000 V_APP1$3 -0.985 0.065 -15.106 0.000 V_APP1$4 -0.214 0.055 -3.907 0.000 V_APP1$5 0.530 0.057 9.245 0.000 ! I am worried the first threshold ($1) is connecting my missingness "category" to my first real data category
No, if you have specified a missing data flag (like -9999), then missing data is not a category. There must be other values in the data. If you can't find the problem you can send your output and data to Support along with your license number.