Estimating polling accuracy in multiparty elections using surveybias

被引:1
|
作者
Arzheimer, Kai [1 ]
Evans, Jocelyn [2 ]
机构
[1] Johannes Gutenberg Univ Mainz, Polit Sci, D-55122 Mainz, Germany
[2] Univ Leeds, Polit, Leeds, W Yorkshire, England
来源
STATA JOURNAL | 2016年 / 16卷 / 01期
关键词
st0428; surveybias; surveybiasi; surveybiasseries; multinomial variables; surveys; survey bias;
D O I
10.1177/1536867X1601600113
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
Any rigorous discussion of bias in opinion surveys requires a scalar measure of survey accuracy. Martin, Traugott, and Kennedy (2005, Public Opinion Quarterly 69: 342-369) propose such a measure A for the two-party case, and Arzheimer and Evans (2014, Political Analysis 22: 31-44) demonstrate how measures A(i)', B, and B, for the more common multiparty case can be derived. We describe the commands surveybias, surveybiasi, and surveybiasseries, which enable the fast computation of these binomial and multinomial measures of bias in opinion surveys. While the examples are based on pre-election surveys, the methodology applies to any multinomial variable whose true distribution in the population is known (for example, through census data).
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页码:139 / 158
页数:20
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