학술논문
Data from Investigating Variation in Replicability: A 'Many Labs' Replication Project
Document Type
article
Author
Richard A. Klein; Kate A Ratliff; Michelangelo Vianello; Reginald B Adams Jr.; Stĕpán Bahník; Michael J Bernstein; Konrad Bocian; Mark J Brandt; Beach Brooks; Claudia Chloe Brumbaugh; Zeynep Cemalcilar; 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 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; A E van’t Veer; Leigh Ann Vaughn; Marek Vranka; Aaron L Wichman; Julie A Woodzicka; Brian A Nosek
Source
Journal of Open Psychology Data, Vol 2, Iss 1, Pp e4-e4 (2014)
Subject
Language
English
ISSN
2050-9863
Abstract
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.