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Volumn 51, Issue 1, 2016, Pages 11-19

Calibrated Bayes Factors Should Not Be Used: A Reply to Hoijtink, van Kooten, and Hulsker

Author keywords

Statistical inference; Bayesian statistics; Bayes factors; error rates

Indexed keywords

STATISTICAL SIGNIFICANCE; BAYES THEOREM; METHODOLOGY; MONTE CARLO METHOD; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 84958793854     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1080/00273171.2015.1052710     Document Type: Article
Times cited : (17)

References (15)
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  • 3
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    • Why Bayesian psychologists should change the way they use the Bayes factor
    • H.Hoijtink,, P.van Kooten,, & K.Hulsker, (2016). Why Bayesian psychologists should change the way they use the Bayes factor. Multivariate Behavioral Research, 51, 1--9. doi: 10.1080/00273171.2014.969364.
    • (2016) Multivariate Behavioral Research
    • Hoijtink, H.1    van Kooten, P.2    Hulsker, K.3
  • 7
    • 83755224811 scopus 로고    scopus 로고
    • Bayes factor approaches for testing interval null hypotheses
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    • Morey, R.D.1    Rouder, J.N.2
  • 9
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    • Inductive behavior” as a basic concept of philosophy of science
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    • Default Bayes factors for model selection in regression
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    • Rouder, J.N.1    Morey, R.D.2
  • 15
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    • Why psychologists must change the way they analyze their data: The case of psi. A comment on Bem (2011)
    • E.-J.Wagenmakers,, R.Wetzels,, D.Borsboom,, & H.van der Maas, (2011). Why psychologists must change the way they analyze their data: The case of psi. A comment on Bem (2011). Journal of Personality and Social Psychology, 100, 426–432. doi: 10.1037/a0022790
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.