Replication Data for: Investigator Characteristics and Respondent Behavior in Online Surveys

Prior research has demonstrated how the results of surveys can vary depending on the race, gender, or ethnicity of the investigator asking the question. This paper extends the logic of that research to empirically test how information about researcher identity in online surveys, conveyed in the advertisement for the experiment and on the informed consent page, affects subject responses. We do so by conducting an experiment on Amazon’s Mechanical Turk in which we vary the name of the researcher to cue different racial and gender identities. We fail to reject the null hypothesis that there is no difference in how respondents answer questions when assigned to a putatively black/white or male/female researcher.既往研究已证实，调查问卷的结果会因提问调查者的种族、性别或族裔差异而有所不同。本文将该类研究的逻辑延伸至实证检验环节，探究在线调查场景下，通过实验招募广告与知情同意页面所传递的研究者身份信息，会如何影响被试的作答反应。为此，我们在亚马逊机械 Turk（Amazon Mechanical Turk）平台开展实验，通过调整研究者姓名来暗示不同的种族与性别身份。我们未能拒绝零假设：即当被试被分配至推定的黑人/白人或男性/女性研究者组别时，受访者的作答方式并无显著差异。