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Understanding Statistics Volume 1, 2002 - Issue 2
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Original Articles

Using p Values to Estimate the Probability of a Statistically Significant Replication

Emil J. Posavac
Pages 101-112 | Published online: 15 Jun 2010

Citations (14)

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Read on this site (4)

Frank P. A. Coolen & Sulafah Bin Himd. (2014) Nonparametric Predictive Inference for Reproducibility of Basic Nonparametric Tests. Journal of Statistical Theory and Practice 8:4, pages 591-618.
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Terry Froman & Aleksandr Shneyderman. (2004) Replicability Reconsidered: An Excessive Range of Possibilities. Understanding Statistics 3:4, pages 365-373.
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Emil J. Posavac. (2003) Response to Macdonald. Understanding Statistics 2:1, pages 71-72.
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Ranald R. Macdonald. (2003) On Determining Replication Probabilities: Comments on Posavac (2002). Understanding Statistics 2:1, pages 69-70.
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Articles from other publishers (10)

Tenglong Li & Ken Frank. (2020) The probability of a robust inference for internal validity. Sociological Methods & Research 51:4, pages 1947-1968.
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David Newman, Isadore Newman & John H. Hitchcock. 2020. Cognitive Analytics. Cognitive Analytics 1175 1195 .
Mariusz Kaczmarczyk, Beata Łoniewska, Anna Kuprjanowicz, Agnieszka Boroń, Iwona Gorący, Małgorzata Ryder, Olga Taryma-Leśniak & Andrzej Ciechanowicz. (2019) Non-replication of an association between the Odd-skipped related 1 c.654G>A (rs12329305) polymorphism and kidney volume in newborns . Pomeranian Journal of Life Sciences 65:1, pages 14-18.
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Wolfgang Viechtbauer. (2010) Learning from the past: refining the way we study treatments. Journal of Clinical Epidemiology 63:9, pages 980-982.
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Nicholas Benson & Isadore Newman. (2010) Potential utility of actuarial methods for identifying specific learning disabilities. Psychology in the Schools 47:6, pages 538-550.
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Jeff Miller. (2009) What is the probability of replicating a statistically significant effect?. Psychonomic Bulletin & Review 16:4, pages 617-640.
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Geoff Cumming. (2008) Replication and p Intervals: p Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better . Perspectives on Psychological Science 3:4, pages 286-300.
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Ke-Hai Yuan & Scott Maxwell. (2016) On the Post Hoc Power in Testing Mean Differences. Journal of Educational and Behavioral Statistics 30:2, pages 141-167.
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Dawn Iacobucci. (2005) From the Editor. Journal of Consumer Research 32:1, pages 6-11.
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J.L. Moran & P.J. Solomon. (2004) A farewell to P-values?. Critical Care and Resuscitation 6:2, pages 130-137.
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