Replication Bayes factors from evidence updating

We describe a general method that allows experimenters to quantify the evidence from the data of a direct replication attempt given data already acquired from an original study. These so-called replication Bayes factors are a reconceptualization of the ones introduced by Verhagen and Wagenmakers (Jo...

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Detalles Bibliográficos
Autores principales: Ly, Alexander, Etz, Alexander, Marsman, Maarten, Wagenmakers, Eric-Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6877488/
https://www.ncbi.nlm.nih.gov/pubmed/30105445
http://dx.doi.org/10.3758/s13428-018-1092-x
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author Ly, Alexander
Etz, Alexander
Marsman, Maarten
Wagenmakers, Eric-Jan
author_facet Ly, Alexander
Etz, Alexander
Marsman, Maarten
Wagenmakers, Eric-Jan
author_sort Ly, Alexander
collection PubMed
description We describe a general method that allows experimenters to quantify the evidence from the data of a direct replication attempt given data already acquired from an original study. These so-called replication Bayes factors are a reconceptualization of the ones introduced by Verhagen and Wagenmakers (Journal of Experimental Psychology: General, 143(4), 1457–1475 2014) for the common t test. This reconceptualization is computationally simpler and generalizes easily to most common experimental designs for which Bayes factors are available.
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spelling pubmed-68774882019-12-10 Replication Bayes factors from evidence updating Ly, Alexander Etz, Alexander Marsman, Maarten Wagenmakers, Eric-Jan Behav Res Methods Article We describe a general method that allows experimenters to quantify the evidence from the data of a direct replication attempt given data already acquired from an original study. These so-called replication Bayes factors are a reconceptualization of the ones introduced by Verhagen and Wagenmakers (Journal of Experimental Psychology: General, 143(4), 1457–1475 2014) for the common t test. This reconceptualization is computationally simpler and generalizes easily to most common experimental designs for which Bayes factors are available. Springer US 2018-08-13 2019 /pmc/articles/PMC6877488/ /pubmed/30105445 http://dx.doi.org/10.3758/s13428-018-1092-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Ly, Alexander
Etz, Alexander
Marsman, Maarten
Wagenmakers, Eric-Jan
Replication Bayes factors from evidence updating
title Replication Bayes factors from evidence updating
title_full Replication Bayes factors from evidence updating
title_fullStr Replication Bayes factors from evidence updating
title_full_unstemmed Replication Bayes factors from evidence updating
title_short Replication Bayes factors from evidence updating
title_sort replication bayes factors from evidence updating
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6877488/
https://www.ncbi.nlm.nih.gov/pubmed/30105445
http://dx.doi.org/10.3758/s13428-018-1092-x
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