2020
DOI: 10.33774/apsa-2020-96t72
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Analyze the Attentive & Bypass Bias: Mock Vignette Checks in Survey Experiments

Abstract: Respondent inattentiveness threatens to undermine experimental studies. In response, researchers incorporate measures of attentiveness into their analyses, yet often in a way that risks introducing posttreatment bias. We propose a design-based technique-mock vignettes (MVs)-to overcome these interrelated challenges. MVs feature content substantively similar to that of experimental vignettes in political science, and are followed by factual questions (mock vignette checks [MVCs]) that gauge respondents' attenti… Show more

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Cited by 8 publications
(10 citation statements)
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References 30 publications
(20 reference statements)
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“…21 Subjects were asked to identify the issue in dispute in our pretreatment vignette and presented with multiple choice options. This is similar to the approach recommended by Kane, Velez, and Barabas (2020). .…”
Section: Main Experimentssupporting
confidence: 58%
“…21 Subjects were asked to identify the issue in dispute in our pretreatment vignette and presented with multiple choice options. This is similar to the approach recommended by Kane, Velez, and Barabas (2020). .…”
Section: Main Experimentssupporting
confidence: 58%
“…5 The "User Agent" string captured from the end user's browser by online survey software like Qualtrics provides detailed information about how respondents arrive at the survey. We offer two approaches for classifying respondents as inattentive on the basis of 4 Kane, Velez and Barabas (2020) suggest including "mock vignettes" which can be viewed as a taskspecific ACQ. Berinsky, Margolis and Sances (2014); Berinsky et al (2019) urge researchers to use multiple ACQs and classify subjects based on different levels of attentiveness.…”
Section: Can Inattention Explain Attenuated Replication Estimations?mentioning
confidence: 99%
“… 4 Kane, Velez and Barabas (2020) suggest including “mock vignettes” which can be viewed as a task-specific ACQ. Berinsky, Margolis and Sances (2014); Berinsky et al (2019) urge researchers to use multiple ACQs and classify subjects based on different levels of attentiveness. …”
mentioning
confidence: 99%
“…To address this difficulty, we ran a follow-up experiment in December 2020 on the survey respondent aggregator Lucid. 10 In total, we recruited 470 participants, but we restrict our analysis to the 336 respondents that successfully completed a Mock Vignette Check (Kane, Velez and Barabas, 2020). 11…”
Section: Methodsmentioning
confidence: 99%
“… 11 As Peyton, Huber and Coppock (2020) show, inattention was a major problem among Lucid respondents during the COVID-19 pandemic. The Mock Vignette Check came from Kane, Velez and Barabas (2020) and was placed in the survey immediately before the treatment. We describe the MVC, as well as other attention checks we used to screen subjects, in the “Lucid Attention Checks” section of the Appendix. …”
mentioning
confidence: 99%