对Gelman和Azari的回应(2017)

IF 1.5 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Corrie V. Hunt
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引用次数: 0

摘要

正如格尔曼和阿扎里明确指出的那样,没有确凿的证据可以用来解释2016年那场令我们许多人感到意外的大选。作为一家进步的民意调查公司的民意调查员,我承认这次选举以最令人沮丧和恶心的方式击败了我。这并不是因为我认为这是不可能的。事实上,在大选前的最后几周,我和我的许多同事越来越担心,我们在内部民意调查中看到的紧缩意味着克林顿的胜利远非确定无疑。但我对分析预测的信心感到放心。民意调查的从业者和消费者可以从这一经验中学到的最重要的教训之一是,更仔细地检查选举预测模型(教训3),以及无反应偏见(教训5)如何影响民意调查和为预测模型提供信息的民意调查。最后,我们不能让自己过于关注赛马数据,而忘记倾听选民在其余的民意调查和定性研究中真正告诉我们的东西。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Response to Gelman and Azari (2017)
As Gelman and Azari make clear, there is no single smoking gun to point to as the primary explanation for the 2016 election that took somany of us by surprise. As a pollster at a progressive public opinion research firm, I will admit the election floored me in the most depressing and sickening of ways. It was not because I did not think it was possible. In fact, in the final weeks leading up to the election, I and many of my colleagues grew increasingly fearful that the tightening we saw in internal polls meant that aClinton victorywas far from certain. But I letmyself be reassured by the confidence of the analytics projections. One of the most important lessons practitioners and consumers of public opinion research can learn from this experience is to take a much closer examination of election prediction models (lesson #3) and how nonresponse bias (lesson #5) affects polls in general and the polls that feed into forecast models. And finally, we cannot let ourselves get so fixated on the horserace numbers that we forget to listen to what voters are actually telling us in the rest of the poll and in qualitative research.
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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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