Literature DB >> 26168127

An Open, Large-Scale, Collaborative Effort to Estimate the Reproducibility of Psychological Science.

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Abstract

Reproducibility is a defining feature of science. However, because of strong incentives for innovation and weak incentives for confirmation, direct replication is rarely practiced or published. The Reproducibility Project is an open, large-scale, collaborative effort to systematically examine the rate and predictors of reproducibility in psychological science. So far, 72 volunteer researchers from 41 institutions have organized to openly and transparently replicate studies published in three prominent psychological journals in 2008. Multiple methods will be used to evaluate the findings, calculate an empirical rate of replication, and investigate factors that predict reproducibility. Whatever the result, a better understanding of reproducibility will ultimately improve confidence in scientific methodology and findings.
© The Author(s) 2012.

Keywords:  methodology; open; psychological science; replication; reproducibility

Year:  2012        PMID: 26168127     DOI: 10.1177/1745691612462588

Source DB:  PubMed          Journal:  Perspect Psychol Sci        ISSN: 1745-6916


  65 in total

1.  Using prediction markets to estimate the reproducibility of scientific research.

Authors:  Anna Dreber; Thomas Pfeiffer; Johan Almenberg; Siri Isaksson; Brad Wilson; Yiling Chen; Brian A Nosek; Magnus Johannesson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

2.  Interpreting confidence intervals: A comment on Hoekstra, Morey, Rouder, and Wagenmakers (2014).

Authors:  Jeff Miller; Rolf Ulrich
Journal:  Psychon Bull Rev       Date:  2016-02

3.  Assessment of Language Abilities in Minority Adolescents and Young Adults With Autism Spectrum Disorder and Extensive Special Education Needs: A Pilot Study.

Authors:  Teresa M Girolamo; Mabel L Rice; Steven F Warren
Journal:  Am J Speech Lang Pathol       Date:  2020-04-23       Impact factor: 2.408

4.  Social science. Promoting transparency in social science research.

Authors:  E Miguel; C Camerer; K Casey; J Cohen; K M Esterling; A Gerber; R Glennerster; D P Green; M Humphreys; G Imbens; D Laitin; T Madon; L Nelson; B A Nosek; M Petersen; R Sedlmayr; J P Simmons; U Simonsohn; M Van der Laan
Journal:  Science       Date:  2014-01-03       Impact factor: 47.728

Review 5.  When more data steer us wrong: replications with the wrong dependent measure perpetuate erroneous conclusions.

Authors:  Caren M Rotello; Evan Heit; Chad Dubé
Journal:  Psychon Bull Rev       Date:  2015-08

6.  The power of prediction markets.

Authors:  Adam Mann
Journal:  Nature       Date:  2016-10-20       Impact factor: 49.962

7.  Replication and reproducibility issues in the relationship between C-reactive protein and depression: A systematic review and focused meta-analysis.

Authors:  Sarah R Horn; Madison M Long; Benjamin W Nelson; Nicholas B Allen; Philip A Fisher; Michelle L Byrne
Journal:  Brain Behav Immun       Date:  2018-06-19       Impact factor: 7.217

8.  What Crisis? Management Researchers' Experiences with and Views of Scholarly Misconduct.

Authors:  Christian Hopp; Gary A Hoover
Journal:  Sci Eng Ethics       Date:  2019-01-02       Impact factor: 3.525

9.  Acute alcohol response phenotype in heavy social drinkers is robust and reproducible.

Authors:  Daniel J O Roche; Michael D Palmeri; Andrea C King
Journal:  Alcohol Clin Exp Res       Date:  2013-10-07       Impact factor: 3.455

10.  The Neural Computation of Scalar Implicature.

Authors:  Joshua K Hartshorne; Jesse Snedeker; Stephanie Yen-Mun Liem Azar; Albert E Kim
Journal:  Lang Cogn Neurosci       Date:  2015-06-01       Impact factor: 2.331

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