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Preregistration and reproducibility
16 references·1 citing·33 second hopsampled
Preregistration and reproducibility (2019)Preregistration and reproducibilityThe preregistration revolution (2018)The preregistration revolutionEvaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (2018)Evaluating the replicability …The Power of Bias in Economics Research (2017)The Power of Bias in Economic…A manifesto for reproducible science (2017)A manifesto for reproducible …Evaluating replicability of laboratory experiments in economics (2016)Evaluating replicability of l…Star Wars: The Empirics Strike Back (2015)Star Wars: The Empirics Strik…The Statistical Crisis in Science (2014)The Statistical Crisis in Sci…Beyond Power Calculations (2014)Beyond Power CalculationsPower failure: why small sample size undermines the reliability of neuroscience (2013)Power failure: why small samp…Meta-regression approximations to reduce publication selection bias (2013)Meta-regression approximation…False-Positive Psychology (2011)False-Positive PsychologyWhy Most Discovered True Associations Are Inflated (2008)Why Most Discovered True Asso…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…A Theory of Collective Reputations (with Applications to the Persistence of Corruption and to Firm Quality) (1996)A Theory of Collective Reputa…How corruption may corrupt (1990)How corruption may corruptInaction Inertia Effect: Foregoing Opportunities as a Consequence of an Initial Failure to Act – a Replication-Extension Study in the Brazilian Population (2026)Inaction Inertia Effect: Fore…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)Scientific Utopia (2012)Is psychology suffering from a replication crisis? What does “failure to replicate” really mean? (2015)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)Replicability, Robustness, and Reproducibility in Psychological Science (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)The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (2001)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)How Big Is “Big”? Interpreting Effect Sizes in L2 Research (2014)Increasing value and reducing waste in research design, conduct, and analysis (2014)Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning (2017)Biased evaluation and persistence in gambling. (1983)The case for motivated reasoning. (1990)The New Statistics (2013)z-Tree: Zurich toolbox for ready-made economic experiments (2007)Estimating the reproducibility of psychological science (2015)A Unified Welfare Analysis of Government Policies* (2020)Financial education affects financial knowledge and downstream behaviors (2021)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)Judgment under Uncertainty: Heuristics and Biases (1975)Thinking, Fast and Slow (2011)Many Labs 2: Investigating Variation in Replicability Across Samples and Settings (2018)The ethics of algorithms: Mapping the debate (2016)How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables (2019)
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References

  • 2005Why Most Published Research Findings Are False10,471 cited
  • 2013Power failure: why small sample size undermines the reliability of neuroscience7,634 cited
  • 2011False-Positive Psychology6,561 cited
  • 2005Why Most Published Research Findings Are False4,702 cited
  • 2017A manifesto for reproducible science3,368 cited
  • 2018The preregistration revolution1,972 cited
  • 2018Evaluating the replicability of social science experiments in Nature and Science between 2010 and 20151,519 cited
  • 2008Why Most Discovered True Associations Are Inflated1,489 cited
  • 2014Beyond Power Calculations1,341 cited
  • 2016Evaluating replicability of laboratory experiments in economics1,314 cited
  • 1996A Theory of Collective Reputations (with Applications to the Persistence of Corruption and to Firm Quality)1,070 cited
  • 2014The Statistical Crisis in Science959 cited
  • 2013Meta-regression approximations to reduce publication selection bias913 cited
  • 2017The Power of Bias in Economics Research634 cited
  • 1990How corruption may corrupt553 cited
  • 2015Star Wars: The Empirics Strike Back

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  • 2026Inaction Inertia Effect: Foregoing Opportunities as a Consequence of an Initial Failure to Act – a Replication-Extension Study in the Brazilian Population1 cited