Many Labs 2: Investigating Variation in Replicability Across Sample and Setting  /

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Contributors:
  64. Katarzyna Cantarero
  70. Melissa-Sue John
  83. Matthew Easterbrook
  92. Reginald B. Adams, Jr.
  96. Andrew Tang
  111. Winfrida Malingumu
  113. Tanuka Ghoshal
  137. Enrica N. Ruggs
  138. Carolyn Finck
  167. Ingrid Voermans
Affiliated institutions: University of Virginia

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Category: Data

Description: Data from Many Labs 2 Replication Project

License: CC0 1.0 Universal

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Full Data: These files contain individual-level responses across all sites (e.g., these are the primary, raw-after-cleaning-and-deidentification, data files). Identical datasets are provided in .csv (e.g., Excel/Open Office) and .rda (R) format for both slates of studies. Slate 1, deidentified: .csv, .rda Slate 2, deidentified: .csv, .rda (Studies were divided into two "slates" of studies due t...

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  • Random 1/3 2/3 data splits (for confirmatory/exploratory analyses)

    Klein, Nosek, Vianello & 5 more
    1/3 of the full datasets, randomly selected (per-source).
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