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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 T. Weidemann, Gary L. Wells, Corey N. White, Jack Wilson
  • University of Massachusetts
  • Vanderbilt University
  • Washington University in St. Louis
  • University of Mannheim
  • Syracuse University
  • The University of Western Australia
  • University of Alabama
  • Vrije Universiteit Amsterdam
  • University of Pittsburgh
  • University of Oklahoma
  • University of Tasmania
  • Louisiana State University
  • University of Southern Mississippi
  • Middle East Technical University
  • University of Freiburg
  • The Ohio State University at Lima
  • Seton Hall University
  • School of Psychological Science
  • University of Louisiana at Lafayette
  • Royal Holloway, University of London
  • University of Zurich
  • Michigan Technological University
  • University of Melbourne
  • University of Warwick
  • Iowa State University
  • Australian College of Applied Psychology
  • Rijksuniversiteit Groningen
  • Swansea University
  • Missouri Western State University

Research output: Contribution to journalArticlepeer-review

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Abstract

Scientific advances across a range of disciplines hinge on the ability to make inferences about unobservable theoretical entities on the basis of empirical data patterns. Accurate inferences rely on both discovering valid, replicable data patterns and accurately interpreting those patterns in terms of their implications for theoretical constructs. The replication crisis in science has led to widespread efforts to improve the reliability of research findings, but comparatively little attention has been devoted to the validity of inferences based on those findings. Using an example from cognitive psychology, we demonstrate a blinded-inference paradigm for assessing the quality of theoretical inferences from data. Our results reveal substantial variability in experts’ judgments on the very same data, hinting at a possible inference crisis.

Original languageEnglish
Pages (from-to)335-349
Number of pages15
JournalAdvances in Methods and Practices in Psychological Science (AMPPS)
Volume2
Issue number4
DOIs
Publication statusPublished - 31 Dec 2019

Keywords

  • Bayesian methods
  • blinded inference
  • bootstrap
  • memory
  • metascience
  • modeling
  • open data

ASJC Scopus subject areas

  • General Psychology

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