一种将使用情感“签名”的调查与美国种族/民族群体的应用程序联系起来的方法

Marisa A. Abrajano, K. Poole
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引用次数: 3

摘要

本文解决了在特定人群中研究子群体的社会科学家经常面临的一个问题,因为由于可用调查数据的质量(即样本量不足或缺乏全面的问题),他们的研究问题的范围和广度经常受到限制。为了解决这个问题,我们开发了一个程序,根据不同调查的受访者对政治刺激的内在(主观)效用,将他们联系起来,我们通过使用个人对一组感觉温度计问题的回答来捕捉这些效用。正如之前的研究所证明的那样,情感温度计问题是对个人主观效用的准确衡量,因为它们是对情感的衡量。我们将这一技术应用于2004年全国安嫩伯格选举调查和2004年美国全国选举研究调查。根据温度计得分将调查对象联系起来,不仅可以恢复种族/民族、性别和教育等群体人口统计数据的分布,还可以恢复这些群体在广泛的问题和政策上的偏好分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method of Linking Surveys Using Affective 'Signatures' with an Application to Racial/Ethnic Groups in the U.S.
This paper addresses a concern often faced by social scientists who study subgroups within a given population, as they are frequently limited in the scope and breadth of their research questions due the quality of available survey data (i.e. inadequate sample size or lack of comprehensive questions). To address this problem, we develop a procedure for linking respondents from different surveys based on their internal (subjective) utility for political stimuli, which we capture by using an individual's responses to a set of feeling thermometer questions. Feeling thermometer questions, as demonstrated in previous research, are an accurate measure of an individual's subjective utility because they are measures of affect. We apply this technique to the 2004 National Annenberg Election survey and the 2004 American National Election Studies survey. Linking survey respondents based on their thermometer scores not only recovers the distributions on group demographics such as race/ethnicity, gender, and education but it also recovers the distributions of these groups' preferences across a wide array of issues and policies as well.
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