Many Labs 3: Evaluating participant pool quality across the academic semester via replication
Year: 2023
Type: preprint
Abstract: Many Labs 3 is a crowdsourced project that systematically evaluated time-of-semester effects across many participant pools. See the Wiki for a table of contents of files and to download the manuscript.
Source: OSF Preprints (OSF Preprints)
Authors: Erica Baranski, Colin Capaldi, Madhavi Menon, Anthony J. Nelson, Jennifer Joy-Gaba, Richard A. Klein, David J. Johnson, William E. Davis, David C Cicero, Hayley M Skulborstad, Nancy I. Budiman, Christopher R. Chartier, Kyle Sauerberger, Charles R. Ebersole, John Paul Wilson, Diane B. V. Bonfiglio, Timothy Razza, Olivia E. Atherton, Jon Grahe, Mitchell Metzger, Morgan Conway, Michael Jason Bernstein, Nicholas Rule, Brandon Humphrey, Elizabeth R. Brown, Thierry Devos, Komi German, Raelyne L. Dopko, Jennifer A. Coleman, Troy G. Steiner, Joshua A. Hicks, Jill Allen, Hannah Juzeler, John M. Zelenski, Christopher J. N. Lustgraaf, Brian A. Nosek, Jessica Wortman, Megan Shultz, Richard E. Lucas, Daniel E. Re, Aimee L. Belanger, Donald Sacco, Patrick J. Morse, Konstantin Tskhay, Zack van Allen, Leanne Boucher, Jaclyn M. Moloney, Jessi L. Smith, Jonathan Britten Banks, Anthony Hermann, Radmila Prislin, James H. Wirth, Athena Cairo, Ryan J. Walker, Karin Sobocko, Weylin Sternglanz, Leigh Ann Vaughn
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7202009566