The issue:
I am looking at the relationship of students achieving X1 benchmark and two outcomes (a continuous outcome (Y1) and binary outcome(Y2) using multiple regression and then logistic regression. Also, I need to do all of this once by casewise deletion and another time by multiple imputation.
The end result should produce:
A. Not Imputed (Casewise Deletion) OLS Regression: Y1 on X1
B. Imputed (Casewise Deletion) OLS Regression: Y1 on X1
C. Not Imputed (Multiple Imputation) Multiple Regression: Y1 on X1+X2+X3...
D. Imputed (Multiple Imputation) Multiple Regression: Y1 on X1+X2+X3...
E. Not Imputed (Casewise Deletion) Logit: Y2 on X1
F. Imputed (Multiple Imputation) Logit: Y2 on X1
G. Not Imputed (Casewise Deletion) Logit: Y2 on on X1+X2+X3...
H. Imputed (Multiple Imputation) Logit: Y2 on on X1+X2+X3...
Thus far:
- A and B estimates are the same (as they should be)
- C and D estimates are almost the same (as they should be)
- E and F estimates are very different (something seems wrong, need help)
- G estimates post fine and seem reasonable
- H estimates never post, no error message either (loading wheel at bottom cycles for hours, need help)
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