Reversing Bonferroni (original) (raw)

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Inconsistent multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses

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Enhancing Statistical Inference in Psychological Research via Prospective and Retrospective Design Analysis

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Comparisons of methods for multiple hypothesis testing in neuropsychological research

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Appreciating the Significance of Non-significant Findings in Psychology

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The more you test, the more you find: The smallest P -values become increasingly enriched with real findings as more tests are conducted

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The problem of multiple inference in studies designed to generate hypotheses

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Correction for Multiple Testing

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Null hypothesis significance testing: On the survival of a flawed method

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Critical Examination of the Ongoing Use of Significance Tests in Psychology

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Going beyond tests of significance: Is psychology ready?

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Statistical Significance is Desirable but not Absolute: In Search of the True Study

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Hidden multiplicity in multiway ANOVA: Prevalence, consequences, and remedies

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Better statistics for better decisions: Rejecting null hypotheses statistical tests in favor of replication statistics.

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When to Adjust Alpha During Multiple Testing: A Consideration of Disjunction, Conjunction, and Individual Testing

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Meta-analyses triggered by previous (false-)significant findings: problems and solutions

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Improving the Conduct and Reporting of Statistical Analysis in Psychology

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Malignant side effects of null-hypothesis significance testing

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Selective Hypothesis Reporting in Psychology: Comparing Preregistrations and Corresponding Publications

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Meta-Analyses in Psychology Often Overestimate Evidence for and Size of Effects

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effect size, confidence intervals and statistical power in psychological research 1

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Correcting Overestimated Effect Size Estimates in Multiple Trials

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Meta-analysis for integrating study outcomes: A Monte Carlo study of its susceptibility to Type I and Type II errors

Edward Levine

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Critique of Cumming’s “New Statistics” for Psychological Research: A Perspective from Outside Psychology

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Hypothesis Testing in Psychology: Throwing the Baby Out with the Bathwater?

Michael Granaas

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The statistical recommendations of the American Psychological Association Publication Manual: Effect sizes, confidence intervals, and meta-analysis

Fiona Fidler

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HYPOTHESIS TESTING IN PSYCHOLOGY: THROWING THE BABY OUT WITH

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Significance tests as sorcery: Science is empirical—significance tests are not

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Statistical Evidence in Experimental Psychology

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Effect size reporting in applied psychology: How are we doing

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Statistical Reform in Psychology

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Meeting the challenge of the Psychonomic Society's 2012 Guidelines on Statistical Issues: Some success and some room for improvement

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Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature

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The Earth Is Round (p < .05

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