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

By Taylor C. Boas, Dino P. Christenson, D. Glick. Political Science Research and Methods, 2018

527 citations recorded by the source corpus.

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.

Subfields: Political Science and International Relations, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6aaa4470f049b2912754cb6d2e7569bcd6fa7d5d