Replication Data for: Investigator Characteristics and Respondent Behavior in Online Surveys
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Race","Gender","Survey experiment","Mechanical Turk"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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
Race; Gender; Survey experiment; Mechanical Turk