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Edited by
Cait Lamberton, Wharton School, University of Pennsylvania,Derek D. Rucker, Kellogg School, Northwestern University, Illinois,Stephen A. Spiller, Anderson School, University of California, Los Angeles
Online platforms such as Amazon’s Mechanical Turk (MTurk), CloudResearch, and Prolific have become a common source of data for behavioral researchers and consumer psychologists alike. This chapter reviews contemporary issues associated with online panel research, discussing first how the COVID-19 pandemic impacted the extent to which researchers use online panels and the workers participating on certain online panels. The chapter explores how factors like a TikTok video can impact who uses these online panels and why. A longitudinal study of researcher perceptions and data quality practices finds that many practices do not align with current recommendations. The authors provide several recommendations for researchers to conduct high-quality behavioral research online, including the use of appropriate prescreens before data collection, data analysis preregistration practices, and avoiding post-screens after data collection that are not preregistered. Finally, the authors recommend researchers thoroughly report details on recruitment, restrictions, completion rates, and any differences in dropout rates across conditions.
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