Literature DB >> 27217556

Contextual sensitivity in scientific reproducibility.

Jay J Van Bavel1, Peter Mende-Siedlecki2, William J Brady2, Diego A Reinero2.   

Abstract

In recent years, scientists have paid increasing attention to reproducibility. For example, the Reproducibility Project, a large-scale replication attempt of 100 studies published in top psychology journals found that only 39% could be unambiguously reproduced. There is a growing consensus among scientists that the lack of reproducibility in psychology and other fields stems from various methodological factors, including low statistical power, researcher's degrees of freedom, and an emphasis on publishing surprising positive results. However, there is a contentious debate about the extent to which failures to reproduce certain results might also reflect contextual differences (often termed "hidden moderators") between the original research and the replication attempt. Although psychologists have found extensive evidence that contextual factors alter behavior, some have argued that context is unlikely to influence the results of direct replications precisely because these studies use the same methods as those used in the original research. To help resolve this debate, we recoded the 100 original studies from the Reproducibility Project on the extent to which the research topic of each study was contextually sensitive. Results suggested that the contextual sensitivity of the research topic was associated with replication success, even after statistically adjusting for several methodological characteristics (e.g., statistical power, effect size). The association between contextual sensitivity and replication success did not differ across psychological subdisciplines. These results suggest that researchers, replicators, and consumers should be mindful of contextual factors that might influence a psychological process. We offer several guidelines for dealing with contextual sensitivity in reproducibility.

Keywords:  context; meta-science; psychology; replication; reproducibility

Mesh:

Year:  2016        PMID: 27217556      PMCID: PMC4988618          DOI: 10.1073/pnas.1521897113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  59 in total

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7.  Multidimensional visual statistical learning.

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Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-03       Impact factor: 3.051

8.  Judging near and distant virtue and vice.

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9.  Statistical conclusion validity: some common threats and simple remedies.

Authors:  Miguel A García-Pérez
Journal:  Front Psychol       Date:  2012-08-29

10.  Likelihood of Null Effects of Large NHLBI Clinical Trials Has Increased over Time.

Authors:  Robert M Kaplan; Veronica L Irvin
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

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  48 in total

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Authors:  Benjamin W Nelson; Carissa A Low; Nicholas Jacobson; Patricia Areán; John Torous; Nicholas B Allen
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2.  Meta-assessment of bias in science.

Authors:  Daniele Fanelli; Rodrigo Costas; John P A Ioannidis
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-20       Impact factor: 11.205

3.  Psychologically authentic versus inauthentic replication attempts.

Authors:  Christopher J Bryan; Gregory M Walton; Carol S Dweck
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-18       Impact factor: 11.205

4.  Broadening horizons: Sample diversity and socioecological theory are essential to the future of psychological science.

Authors:  Michael D Gurven
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5.  Replication and reproducibility issues in the relationship between C-reactive protein and depression: A systematic review and focused meta-analysis.

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Journal:  Brain Behav Immun       Date:  2018-06-19       Impact factor: 7.217

6.  "Reproducible" Research in Mathematical Sciences Requires Changes in our Peer Review Culture and Modernization of our Current Publication Approach.

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Journal:  Bull Math Biol       Date:  2018-09-19       Impact factor: 1.758

7.  Estimating the deep replicability of scientific findings using human and artificial intelligence.

Authors:  Yang Yang; Wu Youyou; Brian Uzzi
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-04       Impact factor: 11.205

8.  Association between contextual dependence and replicability in psychology may be spurious.

Authors:  Yoel Inbar
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-10       Impact factor: 11.205

9.  Reply to Inbar: Contextual sensitivity helps explain the reproducibility gap between social and cognitive psychology.

Authors:  Jay J Van Bavel; Peter Mende-Siedlecki; William J Brady; Diego A Reinero
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-10       Impact factor: 11.205

10.  Advancing Models and Theories for Digital Behavior Change Interventions.

Authors:  Eric B Hekler; Susan Michie; Misha Pavel; Daniel E Rivera; Linda M Collins; Holly B Jimison; Claire Garnett; Skye Parral; Donna Spruijt-Metz
Journal:  Am J Prev Med       Date:  2016-11       Impact factor: 5.043

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