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Journal of the American Statistical Association Volume 117, 2022 - Issue 540
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Applications and Case Studies Discussion

Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability

Blakeley B. McShanea Kellogg School of Management, Northwestern University, Evanston, ILCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4839-266X
ORCID Icon,
Ulf Böckenholta Kellogg School of Management, Northwestern University, Evanston, ILORCID Iconhttps://orcid.org/0000-0003-3663-8260
ORCID Icon &
Karsten T. Hansenb Rady School of Management, University of California, San Diego, La Jolla, CA
Pages 1605-1621 | Received 27 Jul 2021, Accepted 19 Feb 2022, Published online: 12 May 2022

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Paul De Boeck, Jolynn Pek, Katherine Walton, Duane T. Wegener, Brandon M. Turner, Barbara L. Andersen, Theodore P. Beauchaine, Luc Lecavalier, Jay I. Myung & Richard E. Petty. (2023) A Call for Keeping Doors Open and for Parallel Efforts. Psychological Inquiry 34:4, pages 291-297.
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Blakeley B. McShane, Ulf Böckenholt & Karsten T. Hansen. (2022) Modeling and Learning From Variation and Covariation. Journal of the American Statistical Association 117:540, pages 1627-1630.
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Articles from other publishers (1)

Blakeley B. McShane, Eric T. Bradlow, John G. LynchJr.Jr. & Robert J. Meyer. (2024) “Statistical Significance” and Statistical Reporting: Moving Beyond Binary. Journal of Marketing 88:3, pages 1-19.
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