An Ad Hoc Analysis Strategy with Missing Data

A subset of a real data set from a national survey on alcohol use and driving in Canada (original sample of 6,457) is used to illustrate an ad hoc analysis with missing data on multiple response variables. A complete-case analysis initiates this strategy, determining variables that may be deleted wi...

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Bibliographic Details
Main Authors Huberty, Carl J, Julian, Marc W
Format Report
LanguageEnglish
Published 01.04.1994
Subjects
Ad Hoc Strategy
Adults
Canada
Case Studies
Discriminant Analysis
Drinking
Foreign Countries
Missing Data
National Surveys
Observation
Prediction
Research Methodology
Statistical Analysis
Canada
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Summary:A subset of a real data set from a national survey on alcohol use and driving in Canada (original sample of 6,457) is used to illustrate an ad hoc analysis with missing data on multiple response variables. A complete-case analysis initiates this strategy, determining variables that may be deleted without losing effects of interest. By such a deletion, the number of complete observation vectors may very well increase. Also illustrated are two straightforward imputed means analyses. All illustrations are given in the context of predictive discriminant analysis. As discussed, the ad hoc strategy may be applicable to other multivariate contexts. Four tables illustrate steps in the analysis. (Contains 11 references.) (SLD)