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Assessing Theoretical Conclusions With Blinded Inference to Investigate a Potential Inference Crisis

Jeffrey J. Starns, Andrea M. Cataldo, Caren M. Rotello, Jeffrey Annis, Andrew Aschenbrenner, Arndt Bröder, Gregory Cox, Amy Criss, Ryan A. Curl, Ian G. Dobbins, John Dunn, Tasnuva Enam, Nathan J. Evans, Simon Farrell, Scott H. Fraundorf, Scott D. Gronlund, Andrew Heathcote, Daniel W. Heck, Jason L. Hicks, Mark J. Huff, David Kellen, Kylie N. Key, Asli Kilic, Karl Christoph Klauer, Kyle R. Kraemer, Fábio P. Leite, Marianne E. Lloyd, Simone Malejka, Alice Mason, Ryan M. McAdoo, Ian M. McDonough, Robert B. Michael, Laura Mickes, Eda Mizrak, David P. Morgan, Shane T. Mueller, Adam Osth, Angus Reynolds, Travis M. Seale-Carlisle, Henrik Singmann, Jennifer F. Sloane, Andrew M. Smith, Gabriel Tillman, Don van Ravenzwaaij, Christoph Weidemann, Gary L. Wells, Corey N. White, Jack Wilson

Advances in Methods and Practices in Psychological Science, Volume: 2, Issue: 4, Pages: 335 - 349

Swansea University Author: Christoph Weidemann

Published in: Advances in Methods and Practices in Psychological Science
ISSN: 2515-2459 2515-2467
Published: SAGE Publications 2019
Online Access: Check full text

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Keywords: memory, modeling, Bayesian methods, bootstrap, metascience, blinded inference, open data
College: Faculty of Medicine, Health and Life Sciences
Issue: 4
Start Page: 335
End Page: 349