An imputation approach for handling mixed-mode surveys

Thumbnail Image
Date
2016-01-01
Authors
Park, Seunghwan
Park, Sangun
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract

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.

Series Number
Journal Issue
Is Version Of
Versions
Series
Academic or Administrative Unit
Type
article
Comments

This article is published as Park, Seunghwan, Jae Kwang Kim, and Sangun Park. "An imputation approach for handling mixed-mode surveys." The Annals of Applied Statistics 10, no. 2 (2016): 1063-1085. doi:10.1214/16-AOAS930. Posted with permission.

Rights Statement
Copyright
Fri Jan 01 00:00:00 UTC 2016
Funding
DOI
Supplemental Resources
Collections