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Understanding of researcher behavior is required to improve data reliability
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Understanding of researcher behavior is required to improve data reliability (2019)Understanding of researcher behavior is r…Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (2018)Evaluating the replicability …The natural selection of bad science (2016)The natural selection of bad …1,500 scientists lift the lid on reproducibility (2016)1,500 scientists lift the lid…Estimating the reproducibility of psychological science (2015)Estimating the reproducibilit…Reproducibility in Science (2014)Reproducibility in ScienceInvestigating Variation in Replicability (2014)Investigating Variation in Re…Increasing value and reducing waste in research design, conduct, and analysis (2014)Increasing value and reducing…How to Make More Published Research True (2014)How to Make More Published Re…The Rules of the Game Called Psychological Science (2012)The Rules of the Game Called …Replications in Psychology Research (2012)Replications in Psychology Re…Believe it or not: how much can we rely on published data on potential drug targets? (2011)Believe it or not: how much c…Do Pressures to Publish Increase Scientists' Bias? An Empirical Support from US States Data (2010)Do Pressures to Publish Incre…“Positive” Results Increase Down the Hierarchy of the Sciences (2010)“Positive” Results Increase D…How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data (2009)How Many Scientists Fabricate…Scientists behaving badly (2005)Scientists behaving badlyContradicted and Initially Stronger Effects in Highly Cited Clinical Research (2005)Contradicted and Initially St…Why Most Published Research Findings Are False (2005)Conducting Meta-Analyses in R with the metafor Package (2010)Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013)Estimating Psychological Networks and their Accuracy: A Tutorial Paper (2016)Redefine statistical significance (2017)A tutorial on regularized partial correlation networks. (2018)The Framing of Decisions and the Psychology of Choice (1981)Mental Accounting and Consumer Choice (1985)Stereotypes* (2016)Prejudice Reduction: Progress and Challenges (2020)Social physics (2022)Empirical Evidence of Design-Related Bias in Studies of Diagnostic Tests (1999)Why Most Discovered True Associations Are Inflated (2008)The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) and how to select an outcome measurement instrument (2016)The Mass Production of Redundant, Misleading, and Conflicted Systematic Reviews and Meta‐analyses (2016)“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021)Publication bias in clinical research (1991)Randomized, Controlled Trials, Observational Studies, and the Hierarchy of Research Designs (2000)Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis (2007)Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling (2012)The Sociology of Science: Theoretical and Empirical Investigations (1974)The Hazards of Scoring the Quality of Clinical Trials for Meta-analysis (1999)Practical Meta-Analysis (2000)Confirmation Bias: A Ubiquitous Phenomenon in Many Guises (1998)Reproducible Research in Computational Science (2011)Policy: NIH plans to enhance reproducibility (2014)Reporting guidelines for health care simulation research: extensions to the CONSORT and STROBE statements (2016)The Power of Bias in Economics Research (2017)Power failure: why small sample size undermines the reliability of neuroscience (2013)Many Labs 2: Investigating Variation in Replicability Across Samples and Settings (2018)How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables (2019)Replicability, Robustness, and Reproducibility in Psychological Science (2021)Misconduct accounts for the majority of retracted scientific publications (2012)Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication (2019)A manifesto for reproducible science (2017)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)The nf-core framework for community-curated bioinformatics pipelines (2020)
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References

  • 2015Estimating the reproducibility of psychological science8,516 cited
  • 20161,500 scientists lift the lid on reproducibility4,200 cited
  • 2009How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data1,909 cited
  • 2011Believe it or not: how much can we rely on published data on potential drug targets?1,885 cited
  • 2014Increasing value and reducing waste in research design, conduct, and analysis1,597 cited
  • 2018Evaluating the replicability of social science experiments in Nature and Science between 2010 and 20151,519 cited
  • 2005Contradicted and Initially Stronger Effects in Highly Cited Clinical Research1,465 cited
  • 2014Investigating Variation in Replicability1,207 cited
  • 2005Scientists behaving badly1,089 cited
  • 2014Reproducibility in Science1,031 cited
  • 2016The natural selection of bad science858 cited
  • 2010Do Pressures to Publish Increase Scientists' Bias? An Empirical Support from US States Data804 cited
  • 2012The Rules of the Game Called Psychological Science800 cited
  • 2014How to Make More Published Research True757 cited
  • 2012Replications in Psychology Research750 cited

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  • 2010“Positive” Results Increase Down the Hierarchy of the Sciences733 cited
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