Generalizing from Survey Experiments Conducted on Mechanical Turk: A Replication Approach
By A. Coppock. 2018
478 citations recorded by the source corpus.
Subfields: Safety Research, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety Research
- Scott Clifford
- Kyle A. Thomas
- Gordon Pennycook
- Christopher Roth
- Johannes Wohlfart
- David G. Rand
- Jennifer Wortman Vaughan
- A. Coppock
In Sociology and Political Science
- Gordon Pennycook
- David G. Rand
- Nicholas C. Dias
- Scott Clifford
- Kyle A. Thomas
- Johannes Wohlfart
- Christopher Roth
- Ingar K. Haaland
Citations in the corpus
- Manipulating and Measuring Model Interpretability (2018, background): “tudies show that data from high reputation Mechanical Turk workers are comparable to data from commercial panels and university pools when assessing factors such as attentiveness, honesty, and effort [11, 13, 16, 53, 59]. (a) Clear, two-feature condition (CLEAR-2). (b) Black-box, two-feature conditi”
- Validity and Mechanical Turk: An assessment of exclusion methods and interactive experiments (2017, methodology): “However, their conclusions apply to only a narrow set of studies and more comprehensive studies consistently support the generalizability of political science experiments (e.g., Mullinix et al., 2015; Coppock, 2016).”
- Advantages of Matched Over Unmatched Opt-in Samples for Studying Criminal Justice Attitudes: A Research Note (2020, background): “Finally, we focused on observational relational inferences, but research shows that opt-in samples perform better in experiments (Coppock, 2019; Mullinix et al., 2015), because of low levels of effect heterogeneity (Coppock et al.”
- The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings (2020, unknown): “Mechanical Turk (Horton et al. 2011), although not nationally representative, has been shown to be a reliable resource for research on political ideology (Krupnikov and Levine 2014, Mullinix et al. 2015, Coppock 2018).”
- Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media (2020, background): “Although MTurk workers are not nationally representative, they are a reliable resource for research on political ideology (Coppock, 2018; Krupnikov & Levine, 2014; Mullinix, Leeper, Druckman, & Freese, 2015).”
- Designing Information Provision Experiments (2020, background): “Coppock (2018) conducts 15 replication experiments and finds a very high degree of replicability of survey experiments in the field of political science with MTurk as compared to nationally representative samples.”
- Prior Exposure Increases Perceived Accuracy of Fake News (2018, unknown): “All participants were recruited from Amazon’s Mechanical Turk (Horton, Rand, & Zeckhauser, 2011), which has been shown to be a reliable resource for research on political ideology (Coppock, 2016; Krupnikov & Levine, 2014; Mullinix, Leeper, Druckman, & Freese, 2015).”
- The shape of and solutions to the MTurk quality crisis (2020, unknown): “Moreover, a variety of replication studies conducted between 2012 and 2015 provide clear evidence of high data quality during this time frame (Mullinix et al ., 2015; Coppock, 2018).”
- The Long-lasting Effects of Newspaper Op-Eds on Public Opinion (2018, result): “While we are sensitive to such concerns, we also note that recent replication efforts (Coppock, 2018; Mullinix et al., 2015) have shown that experimental estimates obtained on Mechanical Turk correspond very closely with those obtained on nationally representative samples.”