Re: imputation model specification
Posted: Thu Aug 17, 2017 2:22 pm
After completing the second point in the Step 3 (http://www.bristol.ac.uk/cmm/software/s ... er-statjr/),
I did the same procedure in Stat-JR as follows:
1. Template => "NLevelImpute"
2. Number of higher level classifications => 3
Higher level classification A: region (highest)
Higher level classification B: psun (second highest)
Higher level classification C: idfamn (second lowest)
3. Use conditional marginal algorithm? => Yes
3. Number of imputed data sets => 5
4. Number of iterations before first imputation => 1000
5. Number of iterations between subsequent imputations => 50
6. Length of burnin for MOI: => 100
7. Number of iterations for MOI: => 250
After I clicked "run", this time, it also worked shortly and the sign turned to "Ready(8s)" with nothing presented in the Stat-JR window.
The screen shot of the command window is attached! Would appreciate your help!!
Best wishes,
Yongjoo
I did the same procedure in Stat-JR as follows:
1. Template => "NLevelImpute"
2. Number of higher level classifications => 3
Higher level classification A: region (highest)
Higher level classification B: psun (second highest)
Higher level classification C: idfamn (second lowest)
3. Use conditional marginal algorithm? => Yes
3. Number of imputed data sets => 5
4. Number of iterations before first imputation => 1000
5. Number of iterations between subsequent imputations => 50
6. Length of burnin for MOI: => 100
7. Number of iterations for MOI: => 250
After I clicked "run", this time, it also worked shortly and the sign turned to "Ready(8s)" with nothing presented in the Stat-JR window.
The screen shot of the command window is attached! Would appreciate your help!!
Best wishes,
Yongjoo