An Imputation Approach for Analyzing Mixed-Mode Surveys

• Activity Number: 662
• Type: Invited
• Date/Time: Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
• Sponsor: Survey Research Methods Section
• Author(s): Jae-Kwang Kim*+ and Seunghwan Park and Seo-young Kim
• Companies: Iowa State University and Seoul National University and Statistics Korea
• Keywords: measurement error ; fractional imputation ; counterfactual outcome

Abstract

Mixed-mode surveys are frequently used to improve the survey participation but statistical tools for analyzing mixed-mode survey data are relatively underdeveloped. Motivated by a real survey in Korea, we consider an imputation approach to handling mixed-mode surveys. The proposed method uses measurement error models to explain the mode effects and then imputation is to predict the counterfactual potential outcome in the measurement error model. Model parameters are estimated using the idea of parametric fractional imputation of Kim (2011). The proposed method is applied to the survey of private education expenses in Korea.