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Type M Error Might Explain Weisburd’s Paradox · Study

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ArticleType M Error Might Explain Weisburd’s Paradox

Andrew Gelman2017

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Articlegreen2017

Type M Error Might Explain Weisburd’s Paradox

Andrew Gelman · Torbjørn Skarðhamar · Mikko Aaltonen

33 citations·0/0 files stored·Journal of Quantitative Criminology

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Meta-analysis and systematic reviews Statistical Methods and Bayesian Inference Statistical Methods in Epidemiology

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References

2013Power failure: why small sample size undermines the reliability of neuroscience 2011False-Positive Psychology 2014Publication bias in the social sciences: Unlocking the file drawer 2014Beyond Power Calculations 2014The Statistical Crisis in Science 2009The Relationship Between Sample Sizes and Effect Sizes in Systematic Reviews in Education 2016A meta-analysis update on the effects of early family/parent training programs on antisocial behavior and delinquency 2008Do Statistical Reporting Standards Affect What Is Published? Publication Bias in Two Leading Political Science Journals

Cited by

2021Local Immigration and Support for Anti‐Immigration Parties: A Meta‐Analysis 2018Advancing knowledge about replication in criminology 2022Designing Studies and Evaluating Research Results: Type M and Type S Errors for Pearson Correlation Coefficient 2020p-value Problems? An Examination of Evidential Value in Criminology

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Year2017

Typearticle

Published2017-12-18

VenueJournal of Quantitative Criminology

ISSN-L0748-4518

Languageen

Citations33

Files0 public / 0

ShelfMeta-analysis and systematic reviews

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doi10.1007/s10940-017-9374-5

openalex_workW2776208797

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