Data from investigating variation in replicability: A "Many Labs" replication project

Richard Klein, K. Ratliff, M. Vianello, R.B. Adams Jr., S. Bahnik, M.J. Bernstein, M.J. Brandt, H. Ijzerman, Konrad Bocian, Beach Brooks, Claudia Chloe Brumbaugh, Z. Cemalcilar, Jesse Chandler, Winnee Cheong, William E. Davis, Thierry Devos, Matthew Eisner, Natalia Frankowska, David Furrow, Elisa Maria GallianiFred Hasselman, Joshua A. Hicks, James F. Hovermale, S. Jane Hunt, Jeffrey R. Huntsinger, Melissa-Sue John, Jennifer A. Joy-Gaba, Heather Barry Kappes, Lacy E. Krueger, Jamie Kurtz, Carmel A. Levitan, Robyn K. Mallett, Wendy L. Morris, Anthony J. Nelson, Jason A. Nier, Grant Packard, Ronaldo Pilati, Abraham M. Rutchick, Kathleen Schmidt, Jeanine L. Skorinko, Robert 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

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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.
Keywords: replication, generalizability, context
Original languageEnglish
Number of pages4
JournalJournal of Open Psychology Data
Issue number1
Publication statusPublished - 2014


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