Replication Data for: Optimizing the Measurement of Sexism in Political Surveys

Political scientists are paying increasing attention to understanding the role of sexist attitudes on predicting vote choices and opinions on issues. However, the research in this area measures sexist attitudes with a variety of different items and scales. In this paper, I evaluate some of the most prominent contemporary measures of sexism and develop an approach for identifying optimal items based on (1) convergent validity, (2) predictive validity, and (3) distance from politics. I find that a subset of items from the hostile sexism scale exhibit the most desirable measurement properties and I conclude by recommending a simple 2- to 5-item reduced hostile sexism battery that will allow scholars to efficiently, validly, and consistently measure sexism.

政治学者愈发关注性别歧视态度在预测选民投票选择与议题观点中的作用。然而，该领域现有研究在测量性别歧视态度时，采用了多样的条目与量表。本文对当前主流的若干性别歧视态度测量工具展开评估，并基于（1）聚合效度、（2）预测效度、（3）与政治的关联程度，提出了筛选最优测量条目的方法。研究发现，敌意性别歧视量表（Hostile Sexism Scale）中的部分条目具备最优的测量属性；最后本文推荐一套精简后的2至5条目敌意性别歧视测量组合，以便学者能够高效、准确且一致地开展性别歧视态度测量。