Handling Missing Data in Educational Research Using SPSS

Simple item page
dc.contributor.advisorDimitrov, Dimiter M.
dc.contributor.authorCheema, Jehanzeb
dc.creatorCheema, Jehanzeb
dc.date2012-04-03
dc.date.accessioned2012-05-31T18:04:31Z
dc.date.availableNO_RESTRICTION
dc.date.available2012-05-31T18:04:31Z
dc.date.issued2012-05-31
dc.description.abstractThis 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.
dc.identifier.urihttps://hdl.handle.net/1920/7840
dc.language.isoen
dc.subjectImputation Method
dc.subjectItem Non-Response
dc.subjectListwise Deletion
dc.subjectMissing Data
dc.subjectMultiple Imputation
dc.subjectMissing Value
dc.titleHandling Missing Data in Educational Research Using SPSS
dc.typeDissertation
thesis.degree.disciplineEducation
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral
thesis.degree.namePhD in Education

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Jehanzeb_Cheema_Dissertation_Spring_2012_GMU.pdf
Size:
3.52 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.65 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

College of Education and Human Development