Registered Reports A Method to Increase the Credibility of Published Results

By Brian A. Nosek, Daniël Lakens. 2014

621 citations recorded by the source corpus.

Ignoring replications and negative results is bad for science. This special issue presents a novel publishing format – Registered Reports – as a partial solution. Peer review occurs prior to data collection, design and analysis plans are preregistered, and results are reported regardless of outcome. Fourteen Registered Reports of replications of important published results in social psychology are reported with strong confirmatory tests. Further, the articles demonstrate open science practices such as open data, open materials, and disclosure of research process, conflicts of interest, and contributions. The credibility of published science will increase with cultural shifts that accept replications and negative results as viable research outcomes, and when transparency and reproducibility are part of standard research practice.

Subfields: Artificial Intelligence, General Decision Sciences, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6765332ea2813d8b0c744fe20fb02269c23bfec8

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In Artificial Intelligence

  1. Roger Giner-Sorolla
  2. A. V. Veer
  3. J. Westfall
  4. Mark Rubin
  5. Mark S. Allen
  6. S. Howard
  7. Davina A. Robson
  8. Eric-Jan Wagenmakers

In General Decision Sciences

  1. A. V. Veer
  2. Roger Giner-Sorolla
  3. Mark Rubin
  4. Bryan G. Cook
  5. Tal Yarkoni
  6. Mark S. Allen
  7. S. Howard
  8. Davina A. Robson

In Statistics and Probability

  1. Mark Rubin
  2. A. V. Veer
  3. Roger Giner-Sorolla
  4. Daniël Lakens
  5. P. Shrout
  6. J. Rodgers
  7. Bryan G. Cook
  8. Eric-Jan Wagenmakers

Citations in the corpus