

Thresholds with missing data 

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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; Here are selected lines of my output: V_APP1 Category 1 0.004 2.000 Category 2 0.042 22.000 Category 3 0.117 62.000 Category 4 0.253 134.000 Category 5 0.287 152.000 Category 6 0.298 158.000 ! I assume Category 1 is the missingness 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. 

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