Multiple Imputation. Multiple Regression. Input From SPSS. *** Mult-Imput_M-Reg.sas ***; PROC IMPORT OUT= WORK.IntroQuest DATAFILE = " C:\Users\Vati\Documents\StatData\IntroQ\IntroQ .sav " DBMS=SPSS REPLACE ; Run; Use the Import Wizard to bring the data into SAS.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
*** Mult-Imput_M-Reg.sas ***;
PROCIMPORT OUT= WORK.IntroQuest
DBMS=SPSS REPLACE; Run;
procmeans n nmiss; run;
ProcRegoutest = MRbyImputcovout;
Model Statoph = gender ideal nucoph SATM year / stb; By _Imputation_; run;
ProcMIAnalyze; modeleffects intercept gender ideal nucoph SATM year; run;
“Relative Increase in Variance” is the increase in variance due to having missing data imputed (relative to the condition where no data are missing). Low is good.
“Relative efficiency” tells you how much poweryou have for the number of imputations you have employed relative to what you would have if you used an uncountably large number of imputations.