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Science is not a signal detection problem
16 references·6 citing·35 second hop
Science is not a signal detection problem (2020)Science is not a signal detection problemScientists rise up against statistical significance (2019)Scientists rise up against st…The preregistration revolution (2018)The preregistration revolutionRedefine statistical significance (2017)Redefine statistical signific…A manifesto for reproducible science (2017)A manifesto for reproducible …Estimating the reproducibility of psychological science (2015)Estimating the reproducibilit…Beyond Power Calculations (2014)Beyond Power CalculationsThe New Statistics (2013)The New StatisticsPower failure: why small sample size undermines the reliability of neuroscience (2013)Power failure: why small samp…Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling (2012)Measuring the Prevalence of Q…False-Positive Psychology (2011)False-Positive PsychologyShall we Really do it Again? The Powerful Concept of Replication is Neglected in the Social Sciences (2009)Shall we Really do it Again? …Why Most Published Research Findings Are False (2005)Why Most Published Research F…Why Most Published Research Findings Are False (2005)Why Most Published Research F…The earth is round (p < .05). (1994)The earth is round (p < .05).The Logic of Scientific Discovery. (1959)The Logic of Scientific Disco…The logic of scientific discovery (1959)The logic of scientific disco…Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power (2024)Finding the right power balan…RETRACTED ARTICLE: High replicability of newly discovered social-behavioural findings is achievable (2023)RETRACTED ARTICLE: High repli…A Signal Detection Approach to Understanding the Identification of Fake News (2021)A Signal Detection Approach t…High Replicability of Newly-Discovered Social-behavioral Findings is Achievable (2020)High Replicability of Newly-D…Consideration of Sample Size in Neuroscience Studies (2020)Consideration of Sample Size …Changing the logic of replication: A case from infant studies (2020)Changing the logic of replica…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)A tutorial on regularized partial correlation networks. (2018)Belief in the law of small numbers. (1971)The file drawer problem and tolerance for null results. (1979)Effect size, confidence interval and statistical significance: a practical guide for biologists (2007)Effect size estimates: Current use, calculations, and interpretation. (2011)The Logic of Scientific Discovery (2013)G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials (2011)Meta-analysis and the science of research synthesis (2018)Sample Size Justification (2022)Introduction to Meta‐Analysis (2009)How Big Is “Big”? Interpreting Effect Sizes in L2 Research (2014)How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses (2018)Introduction to Meta‐Analysis (2021)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)Meta-analysis of Observational Studies in Epidemiology A Proposal for Reporting (2000)The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)Biased evaluation and persistence in gambling. (1983)The case for motivated reasoning. (1990)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation (2015)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)Sustainable data analysis with Snakemake (2021)The Statistical Crisis in Science (2014)How should systematic reviewers handle conference abstracts? A view from the trenches (2019)Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact journals (2020)Rewriting results sections in the language of evidence (2021)The ethics of algorithms: Mapping the debate (2016)Grounded theory research: Procedures, canons, and evaluative criteria (1990)Confirmation Bias: A Ubiquitous Phenomenon in Many Guises (1998)Seeking Qualitative Rigor in Inductive Research (2012)
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References

  • 2005Why Most Published Research Findings Are False10,471 cited
  • 2015Estimating the reproducibility of psychological science8,516 cited
  • 2013Power failure: why small sample size undermines the reliability of neuroscience7,634 cited
  • 1959The Logic of Scientific Discovery.7,499 cited
  • 2011False-Positive Psychology6,561 cited
  • 2005Why Most Published Research Findings Are False4,702 cited
  • 1994The earth is round (p < .05).3,999 cited
  • 2017A manifesto for reproducible science3,368 cited
  • 2013The New Statistics3,182 cited
  • 2019Scientists rise up against statistical significance2,997 cited
  • 2017Redefine statistical significance2,771 cited
  • 2012Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling2,240 cited
  • 2018The preregistration revolution1,972 cited
  • 1959The logic of scientific discovery1,915 cited
  • 2014Beyond Power Calculations1,341 cited
  • 2009Shall we Really do it Again? The Powerful Concept of Replication is Neglected in the Social Sciences1,124 cited

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Cited by

  • 2021A Signal Detection Approach to Understanding the Identification of Fake News187 cited
  • 2023RETRACTED ARTICLE: High replicability of newly discovered social-behavioural findings is achievable53 cited
  • 2020High Replicability of Newly-Discovered Social-behavioral Findings is Achievable48 cited
  • 2024Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power36 cited
  • 2020Consideration of Sample Size in Neuroscience Studies29 cited
  • 2020Changing the logic of replication: A case from infant studies23 cited