The Treatment of Missing Data in Multivariate Analysis

Jae-On Kim and James Curry
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Jae-On Kim: University of Iowa
James Curry: University of Iowa

Sociological Methods & Research, 1977, vol. 6, issue 2, 215-240

Abstract: Procedures for treating missing data in the statistical analysis of survey data are reviewed. The main topics covered are: (1) how to assess the nature of missing data especially with regard to randomness, (2) a comparison of listwise and pairwise deletion, and (3) methods for using maximum information to estimate (a) parameters or (b) missing values.

Date: 1977
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:6:y:1977:i:2:p:215-240

DOI: 10.1177/004912417700600206

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