Troubleshooting
Problem
My data set has 75% missing values. I tried to impute the missing values using regression imputation based on Maximum likelihood estimation in Amos. AMOS output included the message: "The model appears to be unidentified. Imputation cannot be performed". Is the model unidentified because such a large proportion of the data has missing values? If this so, is there any way to impute for the missing values in my data set using Amos?
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Historical Number
80794
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Document Information
Modified date:
16 June 2018
UID
swg21482616