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Transparency in Ecology and Evolution: Real Problems, Real Solutions
16 references·16 citing·41 second hopsampled
Transparency in Ecology and Evolution: Real Problems, Real Solutions (2016)Transparency in Ecology and Evolution: Re…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…The Extent and Consequences of P-Hacking in Science (2015)The Extent and Consequences o…Promoting an open research culture (2015)Promoting an open research cu…Estimating the reproducibility of psychological science (2015)Estimating the reproducibilit…Uses and misuses of meta‐analysis in plant ecology (2014)Uses and misuses of meta‐anal…Power failure: why small sample size undermines the reliability of neuroscience (2013)Power failure: why small samp…P-curve: A key to the file-drawer. (2013)P-curve: A key to the file-dr…Registered Reports: A new publishing initiative at Cortex (2012)Registered Reports: A new pub…An Agenda for Purely Confirmatory Research (2012)An Agenda for Purely Confirma…“Positive” Results Increase Down the Hierarchy of the Sciences (2010)“Positive” Results Increase D…Effect size, confidence interval and statistical significance: a practical guide for biologists (2007)Effect size, confidence inter…How much variance can be explained by ecologists and evolutionary biologists? (2002)How much variance can be expl…Testing and adjusting for publication bias (2001)Testing and adjusting for pub…HARKing: Hypothesizing After the Results are Known (1998)HARKing: Hypothesizing After …Confirmation Bias: A Ubiquitous Phenomenon in Many Guises (1998)Confirmation Bias: A Ubiquito…Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology (2023)Publication bias impacts on e…Empirical evidence of widespread exaggeration bias and selective reporting in ecology (2023)Empirical evidence of widespr…Why and how we should join the shift from significance testing to estimation (2022)Why and how we should join th…Low statistical power and overestimated anthropogenic impacts, exacerbated by publication bias, dominate field studies in global change biology (2021)Low statistical power and ove…Biases in ecological research: attitudes of scientists and ways of control (2021)Biases in ecological research…The role of replication studies in ecology (2020)The role of replication studi…Revisiting and expanding the meta‐analysis of variation: The log coefficient of variation ratio (2020)Revisiting and expanding the …Consequences of multiple imputation of missing standard deviations and sample sizes in meta‐analysis (2020)Consequences of multiple impu…Accelerating evidence-informed decision-making for the Sustainable Development Goals using machine learning (2020)Accelerating evidence-informe…Widespread Biases in Ecological and Evolutionary Studies (2019)Widespread Biases in Ecologic…Rate and success of study replication in ecology and evolution (2019)Rate and success of study rep…Accumulating evidence in ecology: Once is not enough (2019)Accumulating evidence in ecol…Will your paper be used in a meta‐analysis? Make the reach of your research broader and longer lasting (2017)Will your paper be used in a …Striving for transparent and credible research: practical guidelines for behavioral ecologists (2017)Striving for transparent and …Simplifying the selection of evidence synthesis methods to inform environmental decisions: A guide for decision makers and scientists (2017)Simplifying the selection of …Metaresearch for Evaluating Reproducibility in Ecology and Evolution (2016)Metaresearch for Evaluating R…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)Distribution Theory for Glass's Estimator of Effect Size and Related Estimators (1981)Statistical Methods for Meta-Analysis (1988)Practical Meta-Analysis (2000)Methodological issues and advances in biological meta-analysis (2012)On effect size. (2012)A Theory of Cognitive Dissonance (1957)The Structure of Scientific Revolutions (1963)Judgment under Uncertainty: Heuristics and Biases (1975)Individual differences in reasoning: Implications for the rationality debate? (2000)Fake News Detection on Social Media (2017)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)Sample Size Justification (2022)Strong Inference (1964)The Methodology of Scientific Research Programmes (1978)Shall we Really do it Again? The Powerful Concept of Replication is Neglected in the Social Sciences (2009)Scientific Utopia (2012)The Logic of Scientific Discovery (2013)False-Positive Psychology (2011)Recommendations for Increasing Replicability in Psychology (2013)Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning (2017)Many Labs 2: Investigating Variation in Replicability Across Samples and Settings (2018)The file drawer problem and tolerance for null results. (1979)Methods for the detection of carelessly invalid responses in survey data (2015)The contact hypothesis re-evaluated (2018)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)Experimental and Quasi-Experimental Designs for Research (1963)A power primer. (1992)Bias in meta-analysis detected by a simple, graphical test (1997)Scientific method: Statistical errors (2014)Mini Meta‐Analysis of Your Own Studies: Some Arguments on Why and a Primer on How (2016)A manifesto for reproducible science (2017)Meta-analysis and the science of research synthesis (2018)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
  • 2013Power failure: why small sample size undermines the reliability of neuroscience7,634 cited
  • 1998Confirmation Bias: A Ubiquitous Phenomenon in Many Guises7,230 cited
  • 20161,500 scientists lift the lid on reproducibility4,200 cited
  • 2007Effect size, confidence interval and statistical significance: a practical guide for biologists3,822 cited
  • 2015Promoting an open research culture2,686 cited
  • 1998HARKing: Hypothesizing After the Results are Known1,988 cited
  • 2013P-curve: A key to the file-drawer.1,501 cited
  • 2015The Extent and Consequences of P-Hacking in Science1,389 cited
  • 2012An Agenda for Purely Confirmatory Research1,041 cited
  • 2016The natural selection of bad science858 cited
  • 2010“Positive” Results Increase Down the Hierarchy of the Sciences733 cited
  • 2012Registered Reports: A new publishing initiative at Cortex572 cited
  • 2002How much variance can be explained by ecologists and evolutionary biologists?552 cited
  • 2014Uses and misuses of meta‐analysis in plant ecology459 cited
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Testing and adjusting for publication bias
418 cited

Cited by

  • 2017Will your paper be used in a meta‐analysis? Make the reach of your research broader and longer lasting159 cited
  • 2020Revisiting and expanding the meta‐analysis of variation: The log coefficient of variation ratio110 cited
  • 2019Accumulating evidence in ecology: Once is not enough108 cited
  • 2016Metaresearch for Evaluating Reproducibility in Ecology and Evolution95 cited
  • 2019Widespread Biases in Ecological and Evolutionary Studies85 cited
  • 2023Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology81 cited
  • 2022Why and how we should join the shift from significance testing to estimation80 cited
  • 2020Consequences of multiple imputation of missing standard deviations and sample sizes in meta‐analysis78 cited
  • 2020The role of replication studies in ecology75 cited
  • 2017Striving for transparent and credible research: practical guidelines for behavioral ecologists72 cited
  • 2023Empirical evidence of widespread exaggeration bias and selective reporting in ecology68 cited
  • 2017Simplifying the selection of evidence synthesis methods to inform environmental decisions: A guide for decision makers and scientists63 cited
  • 2019Rate and success of study replication in ecology and evolution62 cited
  • 2020Accelerating evidence-informed decision-making for the Sustainable Development Goals using machine learning62 cited
  • 2021Biases in ecological research: attitudes of scientists and ways of control61 cited
  • 2021Low statistical power and overestimated anthropogenic impacts, exacerbated by publication bias, dominate field studies in global change biology60 cited