Running online experiments using web-conferencing software

Jiawei Li (), Stephen Leider (), Damian Beil () and Izak Duenyas ()
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Jiawei Li: The University of Michigan
Stephen Leider: The University of Michigan
Damian Beil: The University of Michigan
Izak Duenyas: The University of Michigan

Journal of the Economic Science Association, 2021, vol. 7, issue 2, No 6, 167-183

Abstract: Abstract We report the results of a novel protocol for running online experiments using a combination of an online experimental platform in parallel with web-conferencing software in two formats—with and without subject webcams—to improve subjects’ attention and engagement. We compare the results between our online sessions with the offline (lab) sessions of the same experiment. We find that both online formats lead to comparable subject characteristics and performance as the offline (lab) experiment. However, the webcam-on protocol has less noisy data, and hence better statistical power, than the protocol without a webcam. The webcam-on protocol can detect reasonable effect sizes with a comparable sample size as in the offline (lab) protocol.

Keywords: Online experiment; Experimental methodology; ZTREE unleashed; Web-conferencing software; Webcam; Selection bias; Subject performance (search for similar items in EconPapers)
JEL-codes: C90 C91 D91 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s40881-021-00112-w

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