Recruiting large online samples in the United States and India: Facebook, Mechanical Turk and Qualtrics

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Authors Taylor C. Boas, Dino P. Christenson, David Glick
Journal/Conference Name POLITICAL SCIENCE RESEARCH AND METHODS
Paper Category
Paper Abstract This article examines online recruitment via Facebook, Mechanical Turk, and Qualtrics panels in India and the United States. It compares over 7,300 respondents—1,000 or more from each source and country—to nationally representative benchmarks in terms of demographics, political attitudes and knowledge, cooperation, and experimental replication. In the U.S., MTurk offers the cheapest and fastest recruitment, Qualtrics is most demographically and politically representative, and Facebook facilitates targeted sampling. The India samples look much less like the population, though Facebook offers broad geographical coverage. We find online convenience samples often provide valid inferences into how partisanship moderates treatment effects. Yet they are typically unrepresentative on such political variables, which has implications for the external validity of sample average treatment effects.
Date of publication 2018
Code Programming Language R
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