Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145644
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dc.contributor.authorMakowski, Dominiqueen_US
dc.contributor.authorBen-Shachar, Mattan S.en_US
dc.contributor.authorChen, Annabel Shen-Hsingen_US
dc.contributor.authorLüdecke, Danielen_US
dc.date.accessioned2020-12-30T08:46:40Z-
dc.date.available2020-12-30T08:46:40Z-
dc.date.issued2019-
dc.identifier.citationMakowski, D., Ben-Shachar, M. S., Chen, A. S.-H., & Lüdecke, D. (2019). Indices of effect existence and significance in the Bayesian framework. Frontiers in Psychology, 10, 2767-. doi:10.3389/fpsyg.2019.02767en_US
dc.identifier.issn1664-1078en_US
dc.identifier.urihttps://hdl.handle.net/10356/145644-
dc.description.abstractTurmoil has engulfed psychological science. Causes and consequences of the reproducibility crisis are in dispute. With the hope of addressing some of its aspects, Bayesian methods are gaining increasing attention in psychological science. Some of their advantages, as opposed to the frequentist framework, are the ability to describe parameters in probabilistic terms and explicitly incorporate prior knowledge about them into the model. These issues are crucial in particular regarding the current debate about statistical significance. Bayesian methods are not necessarily the only remedy against incorrect interpretations or wrong conclusions, but there is an increasing agreement that they are one of the keys to avoid such fallacies. Nevertheless, its flexible nature is its power and weakness, for there is no agreement about what indices of “significance” should be computed or reported. This lack of a consensual index or guidelines, such as the frequentist p-value, further contributes to the unnecessary opacity that many non-familiar readers perceive in Bayesian statistics. Thus, this study describes and compares several Bayesian indices, provide intuitive visual representation of their “behavior” in relationship with common sources of variance such as sample size, magnitude of effects and also frequentist significance. The results contribute to the development of an intuitive understanding of the values that researchers report, allowing to draw sensible recommendations for Bayesian statistics description, critical for the standardization of scientific reporting.en_US
dc.language.isoenen_US
dc.relation.ispartofFrontiers in Psychologyen_US
dc.rights© 2019 Makowski, Ben-Shachar, Chen and Lüdecke. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.subjectSocial sciences::Psychologyen_US
dc.titleIndices of effect existence and significance in the Bayesian frameworken_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Social Sciencesen_US
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en_US
dc.contributor.researchCentre for Research and Development in Learning (CRADLE)en_US
dc.identifier.doi10.3389/fpsyg.2019.02767-
dc.description.versionPublished versionen_US
dc.identifier.pmid31920819-
dc.identifier.volume10en_US
dc.subject.keywordsBayesianen_US
dc.subject.keywordsSignificanceen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
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