Correction: Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature
暂无分享,去创建一个
[1] T. Yarkoni. Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power—Commentary on Vul et al. (2009) , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.
[2] F. De Filippis,et al. A Selected Core Microbiome Drives the Early Stages of Three Popular Italian Cheese Manufactures , 2014, PloS one.
[3] P. Pollard,et al. On the probability of making Type I errors. , 1987 .
[4] John P. A. Ioannidis,et al. Research: increasing value, reducing waste 2 , 2014 .
[5] R. Tibshirani,et al. Increasing value and reducing waste in research design, conduct, and analysis , 2014, The Lancet.
[6] Gerd Gigerenzer,et al. Surrogate Science , 2015 .
[7] R. Rosenthal,et al. Statistical power: concepts, procedures, and applications. , 1996, Behaviour research and therapy.
[8] Joshua Carp,et al. The secret lives of experiments: Methods reporting in the fMRI literature , 2012, NeuroImage.
[9] A. Møller,et al. A survey of the statistical power of research in behavioral ecology and animal behavior , 2003 .
[10] J. Ioannidis. Why Most Published Research Findings Are False , 2005, PLoS medicine.
[11] J. Wicherts,et al. The (mis)reporting of statistical results in psychology journals , 2011, Behavior research methods.
[12] H. Pashler,et al. Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition 1 , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.
[13] Michèle B. Nuijten,et al. The prevalence of statistical reporting errors in psychology (1985–2013) , 2015, Behavior Research Methods.
[14] W. K. Simmons,et al. Circular analysis in systems neuroscience: the dangers of double dipping , 2009, Nature Neuroscience.
[15] Frank L. Schmidt,et al. What do data really mean? Research findings, meta-analysis, and cumulative knowledge in psychology. , 1992 .
[16] J. Rossi,et al. Statistical power of psychological research: what have we gained in 20 years? , 1990, Journal of consulting and clinical psychology.
[17] David A Harrison,et al. Sample Size and Power Calculations using the Noncentral t-distribution , 2004 .
[18] Jennifer J. Richler,et al. Effect size estimates: current use, calculations, and interpretation. , 2012, Journal of experimental psychology. General.
[19] Jacob Cohen,et al. The statistical power of abnormal-social psychological research: a review. , 1962, Journal of abnormal and social psychology.
[20] Brian A. Nosek,et al. Promoting an open research culture , 2015, Science.
[21] J. Berger,et al. Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence , 1987 .
[22] Brian A. Nosek,et al. Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.
[23] Michael C. Frank,et al. Estimating the reproducibility of psychological science , 2015, Science.
[24] J. Ioannidis,et al. Evolution of Reporting P Values in the Biomedical Literature, 1990-2015. , 2016, JAMA.
[25] John P. A. Ioannidis,et al. How to Make More Published Research True , 2014, PLoS medicine.
[26] John Beatty,et al. The Empire of Chance: How Probability Changed Science and Everyday Life , 1989 .
[27] C. Klein. Reliability in Cognitive Neuroscience: A Meta-Meta Analysis , 2015 .
[28] Michèle B. Nuijten,et al. Statistical Reporting Errors and Collaboration on Statistical Analyses in Psychological Science , 2014, PloS one.
[29] G. Gigerenzer,et al. Do studies of statistical power have an effect on the power of studies , 1989 .
[30] Brian A. Nosek,et al. Scientific Utopia , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.
[31] Deena Skolnick Weisberg,et al. The Seductive Allure of Neuroscience Explanations , 2008, Journal of Cognitive Neuroscience.
[32] J. Ioannidis. Why Most Discovered True Associations Are Inflated , 2008, Epidemiology.