A Study of Survey Nonresponse Bias Using Propensity Score Adjustment
Resource
政治科學論叢, 41, 151-176
Journal
政治科學論叢
Journal Issue
41
Pages
151-176
Date Issued
2009-09
Date
2009-09
Author(s)
Tu, S.H.
Lo, W.Y.
Hung, Y.T.
Abstract
It is common to use socio-demographic variables for weighting, but this does not mean that other inferences, especially on attitudes and behavior variables, will be free of bias. This article takes voting behavior in a presidential election as an example to examine the effects of adjusting the telephone survey results using subclassifications on the propensity score as suggested by Lee (2006). We first used the Taiwan Social Change Survey (TSCS, 2004) wave 4 module for a citizenship study to produce a pseudo-population dataset based on bootstrapping sampling. A random
sample of 200 cases was drawn from this dataset. In addition, a stratified random sample of 800 cases was drawn from a telephone survey. The two samples were combined into a sample of 1,000 cases. Propensity Score Adjustment (PSA) allows us to adjust and evaluate the proper estimation of voting behavior based on the subclassification of propensity score. The procedure was repeated 2,000 times. The results showed that the PSA method does effectively reduce telephone survey estimate bias.
Subjects
不完整資料；入選機率；入選機率調整法；投票行為；Incomplete Data；Propensity Scores；Propensity Score Adjustment；Voting Behavior
Type
journal article
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