| Autor: |
Ebersole, Charles, Atherton, Olivia, Belanger, Aimee, Skulborstad, Hayley, Adams, Reginald, Allen, Jill, Banks, Jonathan, Baranski, Erica, Bernstein, Michael, Bonfiglio, Diane, Boucher, Leanne, Brown, Elizabeth, Budiman, Nancy, Cairo, Athena, Capaldi, Colin, Chartier, Christopher, Cicero, David, Coleman, Jennifer, Conway, Morgan, Davis, William, Devos, Thierry, Dopko, Raelyne, Grahe, Jon, German, Komi, Hicks, Joshua, Hermann, Anthony, Humphrey, Brandon, Johnson, David, Joy-Gaba, Jennifer, Juzeler, Hannah, Klein, Richard, Lucas, Richard, Lustgraaf, Christopher, Menon, Madhavi, Metzger, Mitchell, Moloney, Jaclyn, Morse, Patrick, Nelson, Anthony, Prislin, Radmila, Razza, Timothy, Re, Daniel, Rule, Nicholas, Sacco, Donald, Sauerberger, Kyle, Shultz, Megan, Smith, Jessi, Sobocko, Karin, Steiner, Troy, Sternglanz, R. Weylin, Tskhay, Konstantin, Vaughn, Leigh Ann, van Allen, Zack, Walker, Ryan, Wilson, John, Wirth, James, Wortman, Jessica, Zelenski, John, Nosek, Brian |
| Rok vydání: |
2022 |
| Předmět: |
|
| DOI: |
10.17605/osf.io/swiz8 |
| Popis: |
Many Labs 3 is a crowdsourced project that will systematically evaluate time-of-semester effects across many participant pools. The project team will create a single experimental protocol assessing 10 known effects within 30 minutes. As many labs that can join will administer the same protocol across the academic semester. The aggregate data will provide high-powered evidence whether time-of-semester moderates the detectability of effects. Effects will be selected based on the lay theories of what is likely to be influenced by time of semester. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
