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

Political science research and methods, 2020-04, Vol.8 (2), p.232-250 [Peer Reviewed Journal]

Copyright Cambridge University Press Apr 2020 ;ISSN: 2049-8470 ;EISSN: 2049-8489 ;DOI: 10.1017/psrm.2018.28

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  • Title:
    Recruiting large online samples in the United States and India: Facebook, Mechanical Turk, and Qualtrics
  • Author: Boas, Taylor C. ; Christenson, Dino P. ; Glick, David M.
  • Subjects: Compensation ; Costs ; Effects ; Experiments ; International cooperation ; Internet ; Methods ; Partisanship ; Political advertising ; Political attitudes ; Political science ; Politics ; Polls & surveys ; Recruitment ; Reproducibility ; Respondents ; Sampling
  • Is Part Of: Political science research and methods, 2020-04, Vol.8 (2), p.232-250
  • Description: Abstract This article examines online recruitment via Facebook, Mechanical Turk (MTurk), and Qualtrics panels in India and the United States. It compares over 7300 respondents—1000 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 United States, 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.
  • Publisher: Cambridge: Cambridge University Press
  • Language: English
  • Identifier: ISSN: 2049-8470
    EISSN: 2049-8489
    DOI: 10.1017/psrm.2018.28
  • Source: ProQuest Central
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