Handling Missing Data in Educational Research Using SPSS
Date
2012-05-31
Authors
Cheema, Jehanzeb
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Abstract
This study looked at the effect of a number of factors such as the choice of analytical method, the handling method for missing data, sample size, and proportion of missing data, in order to evaluate the effect of missing data treatment on accuracy of estimation. In order to accomplish this a methodological approach involving simulated data was adopted. One outcome of the statistical analyses undertaken in this study is the formulation of easy-to-implement guidelines for educational researchers that allows one to choose one of the following factors when all others are given: sample size, proportion of missing data in the sample, method of analysis, and missing data handling method.
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Keywords
Imputation Method, Item Non-Response, Listwise Deletion, Missing Data, Multiple Imputation, Missing Value