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Data from Investigating Variation in Replicability: A “Many Labs” Replication Project

2014; Ubiquity Press; Volume: 2; Issue: 1 Linguagem: Inglês

10.5334/jopd.ad

2050-9863

Richard Klein, Kate A. Ratliff, Michelangelo Vianello, Reginald B. Adams, Stĕpán Bahník, Michael J. Bernstein, Konrad Bocian, Mark J. Brandt, Beach Smith Brooks, Claudia Chloe Brumbaugh, Zeynep Cemalcılar, Jesse Chandler, Winnee Cheong, William E. Davis, Thierry Devos, Matthew Eisner, Natalia Frankowska, David Furrow, Elisa Maria Galliani, Fred Hasselman, Joshua A. Hicks, James F. Hovermale, S. Jane Hunt, Jeffrey R. Huntsinger, Hans IJzerman, Melissa‐Sue John, Jennifer A. Joy-Gaba, Heather Barry Kappes, Lacy E. Krueger, Jamie Kurtz, Carmel Levitan, Robyn K. Mallett, Wendy L. Morris, Anthony J. Nelson, Jason A. Nier, Grant Packard, Ronaldo Pilati, Abraham M. Rutchick, Kathleen Schmidt, Jeanine Skorinko, Robert W. Smith, Troy G. Steiner, Justin Storbeck, Lyn M. Van Swol, Donna Thompson, Anna van 't Veer, Leigh Ann Vaughn, Marek Vranka, Aaron L. Wichman, Julie A. Woodzicka, Brian A. Nosek,

Mental Health Research Topics

This dataset is from the Many Labs Replication Project in which 13 effects were replicated across 36 samples and over 6,000 participants. Data from the replications are included, along with demographic variables about the participants and contextual information about the environment in which the replication was conducted. Data were collected in-lab and online through a standardized procedure administered via an online link. The dataset is stored on the Open Science Framework website. These data could be used to further investigate the results of the included 13 effects or to study replication and generalizability more broadly.