AN IMPUTATION APPROACH FOR HANDLING MIXED-MODE SURVEYS

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Mixed-mode surveys are becoming more popular recently because of their convenience for users, but different mode effects can complicate the comparability of the survey results. Motivated by the Private Education Expenditure Survey (PEES) of Korea, we propose a novel application of fractional imputation to handle mixed-mode survey data. The proposed method is applied to create imputed values of the unobserved counterfactual outcome variables in the mixed-mode surveys. The proposed method is directly applicable when the choice of survey mode is self-selected. Variance estimation using Taylor linearization is developed. Results from a limited simulation study are also presented.
Publisher
INST MATHEMATICAL STATISTICS
Issue Date
2016-06
Language
English
Article Type
Article
Citation

ANNALS OF APPLIED STATISTICS, v.10, no.2, pp.1063 - 1085

ISSN
1932-6157
DOI
10.1214/16-AOAS930
URI
http://hdl.handle.net/10203/219682
Appears in Collection
MA-Journal Papers(저널논문)
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