Literature DB >> 23980165

US studies may overestimate effect sizes in softer research.

Daniele Fanelli1, John P A Ioannidis.   

Abstract

Many biases affect scientific research, causing a waste of resources, posing a threat to human health, and hampering scientific progress. These problems are hypothesized to be worsened by lack of consensus on theories and methods, by selective publication processes, and by career systems too heavily oriented toward productivity, such as those adopted in the United States (US). Here, we extracted 1,174 primary outcomes appearing in 82 meta-analyses published in health-related biological and behavioral research sampled from the Web of Science categories Genetics & Heredity and Psychiatry and measured how individual results deviated from the overall summary effect size within their respective meta-analysis. We found that primary studies whose outcome included behavioral parameters were generally more likely to report extreme effects, and those with a corresponding author based in the US were more likely to deviate in the direction predicted by their experimental hypotheses, particularly when their outcome did not include additional biological parameters. Nonbehavioral studies showed no such "US effect" and were subject mainly to sampling variance and small-study effects, which were stronger for non-US countries. Although this latter finding could be interpreted as a publication bias against non-US authors, the US effect observed in behavioral research is unlikely to be generated by editorial biases. Behavioral studies have lower methodological consensus and higher noise, making US researchers potentially more likely to express an underlying propensity to report strong and significant findings.

Entities:  

Keywords:  publish or perish; questionable research practices; research bias; scientific misconduct; soft science

Mesh:

Year:  2013        PMID: 23980165      PMCID: PMC3773789          DOI: 10.1073/pnas.1302997110

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


  31 in total

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5.  Standard analyses fail to show that US studies overestimate effect sizes in softer research.

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6.  Reply to Nuijten et al.: Reanalyses actually confirm that US studies overestimate effects in softer research.

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8.  A meta-analysis of procedures to change implicit measures.

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