JSM 2011 Online Program

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Abstract Details

Activity Number: 244
Type: Contributed
Date/Time: Monday, August 1, 2011 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #301778
Title: A Study of Nonresponse Adjustment for Subject Missing: A TEPS Case Study
Author(s): Hong-Long Wang*+ and Ting-Hsiang Lin and Lyinn Chung and Shu-Yi Lei
Companies: National Taipei University and National Taipei University and National Taipei University and National Taipei University
Address: 151, University road,, New Taipei City, 237, Taiwan, ROC
Keywords: subject missing, missing mechanism, MCAR, MAR, TEPS, weighting adjustment.

Subjects missing in a survey may be not random and cause inference bias. Non-response adjustment maybe needed to reduce the bias. However, missing mechanism will be needed before any non-response adjustment. In this paper, through a study of "Taiwan Education Panel Survey" (in short as TEPS), we will explore missing mechanism for subjects missing on 2nd wave data of TEPS. Distinguish missing completely at random (MCAR) from missing at random (MAR). To explore the variables causing MAR, we randomly select 100 data sets from the complete part. Each of the selected data set, with the sample size twice of the missing part, will combine with missing part and run logistic models to find the significant variables. Stability of the model will be discussed. For the non-response adjustments, we will apply weighting adjustment and list-wise delection and compare the result with the baseline.

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