The 2008 Election: A Preregistered Replication Analysis

IF 1.5 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Rayleigh Lei, Andrew Gelman, Yair Ghitza
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引用次数: 7

Abstract

ABSTRACT We present an increasingly stringent set of replications, a multilevel regression and poststratification analysis of polls from the 2008 U.S. presidential election campaign, focusing on a set of plots showing the estimated Republican vote share for whites and for all voters, as a function of income level in each of the states.  We start with a nearly exact duplication that uses the posted code and changes only the model-fitting algorithm; we then replicate using already-analyzed data from 2004; and finally we set up preregistered replications using two surveys from 2008 that we had not previously looked at. We have already learned from our preliminary, nonpreregistered replication, which has revealed a potential problem with the earlier published analysis; it appears that our model may not sufficiently account for nonsampling error, and that some of the patterns presented in that earlier article may simply reflect noise.  In addition to the substantive interest in validating earlier findings about demographics, geography, and voting, the present project serves as a demonstration of preregistration in a setting where the subject matter is historical (and thus the replication data exist before the preregistration plan is written) and where the analysis is exploratory (and thus a replication cannot be simply deemed successful or unsuccessful based on the statistical significance of some particular comparison).  Our replication analysis produced graphs that showed the same general pattern of income and voting as we had found in our earlier published work, but with some differences in particular states that we cannot easily explain and which seem too large to be explained by sampling variation. This process thus demonstrates how replication can raise concerns about an earlier published result.
2008年大选:预登记的复制分析
我们对2008年美国总统大选的民意调查进行了一组越来越严格的重复、多层次回归和后分层分析,重点关注一组显示白人和所有选民估计共和党选票份额的图,作为每个州收入水平的函数。我们从一个几乎精确的复制开始,使用发布的代码,只改变模型拟合算法;然后,我们使用2004年已经分析过的数据进行重复;最后,我们利用2008年的两项调查建立了预注册的复制,这是我们之前没有看过的。我们已经从初步的、未预先注册的复制中了解到,这揭示了早期发表的分析的潜在问题;看来,我们的模型可能没有充分考虑到非抽样误差,而且前面文章中提出的一些模式可能只是反映了噪声。除了验证关于人口统计、地理和投票的早期发现的实质性兴趣之外,本项目还可以作为预登记的演示,在主题具有历史意义(因此在预登记计划编写之前就存在复制数据)和分析具有探索性(因此不能简单地根据某些特定比较的统计意义来判断复制的成功或失败)的环境中进行。我们的复制分析生成的图表显示了与我们在早期发表的工作中发现的相同的收入和投票的总体模式,但在特定的州存在一些我们无法轻易解释的差异,这些差异似乎太大了,无法用抽样变化来解释。因此,这个过程说明了复制如何引起对先前发表的结果的关注。
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来源期刊
Statistics and Public Policy
Statistics and Public Policy SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
3.20
自引率
6.20%
发文量
13
审稿时长
32 weeks
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