Transcription of A Review of Methods for Missing Data - University …
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Educational Research and Evaluation1380-3611/01/0704-353$ , Vol. 7, No. 4, pp. 353 383#Swets & ZeitlingerA Review of Methods for Missing DataTherese D. PigottLoyola University Chicago, Wilmette, IL, USAABSTRACTThis paper reviews Methods for handling Missing data in a research study. Many researchers usead hoc Methods such as complete case analysis, available case analysis (pairwise deletion), orsingle-value imputation. Though these Methods are easily implemented, they require assump-tions about the data that rarely hold in practice. Model-based Methods such as maximumlikelihood using the EM algorithm and multiple imputation hold more promise for dealing withdif culties caused by Missing data .
Educational Research and Evaluation 1380-3611/01/0704-353$16.00 2001, Vol. 7, No. 4, pp. 353–383 # Swets & Zeitlinger A Review of Methods for Missing Data …
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