Scientific self-correction: the Bayesian way.
The enduring replication crisis in many scientific disciplines casts doubt on the ability of science to estimate effect sizes accurately, and in a wider sense, to self-correct its findings and to produce reliable knowledge. We investigate the merits of a particular countermeasure—replacing null hypo...
| Publicado en: | Synthese Vol. 198; no. 23; pp. 5803 - 5824 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Oct2021 Supplement 23
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=153415566&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153415566 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Oct2021 Supplement 23 vid: 198 iid: 23 pid: 237 pub: Springer Nature artinfo: ui: 153415566 10.1007/s11229-020-02697-x ppf: 5803 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.9MB tig: atl: Scientific self-correction: the Bayesian way. aug: au: Romero, Felipe Sprenger, Jan affil: Faculty of Philosophy, University of Groningen, Oude Boteringestraat 52, 9712 GL, Groningen, The Netherlands Center for Logic, Language and Cognition (LLC) Department of Philosophy and Education Sciences, Università degli Studi di Torino, Palazzo Nuovo, Via Sant'Ottavio 20, 10124, Torino, Italy su: Scientific ability Null hypothesis Bayesian field theory Behavioral sciences Behavioral research sug: subj: Scientific ability Null hypothesis Bayesian field theory Behavioral sciences Behavioral research keyword: Bayesian statistics Null hypothesis significance testing (NHST) Replication crisis Self-corrective thesis Statistical inference Statistical reform ab: The enduring replication crisis in many scientific disciplines casts doubt on the ability of science to estimate effect sizes accurately, and in a wider sense, to self-correct its findings and to produce reliable knowledge. We investigate the merits of a particular countermeasure—replacing null hypothesis significance testing (NHST) with Bayesian inference—in the context of the meta-analytic aggregation of effect sizes. In particular, we elaborate on the advantages of this Bayesian reform proposal under conditions of publication bias and other methodological imperfections that are typical of experimental research in the behavioral sciences. Moving to Bayesian statistics would not solve the replication crisis single-handedly. However, the move would eliminate important sources of effect size overestimation for the conditions we study. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2021. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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