Browsing College of Business and Management Sciences (CoBAMS) by Subject "Multiple imputation"
Now showing items 1-1 of 1
-
Comparison of multiple imputation and maximum likelihood methods and evaluating their efficacy when handling missing data in mental health surveys
(Makerere University, 2023-11)This research was an analytical study specifically an experimental design and the purpose was to compare the two methods, multiple imputation and maximum likelihood when dealing with missing data in mental health surveys. ...