Literature DB >> 30105445

Replication Bayes factors from evidence updating.

Alexander Ly1,2, Alexander Etz3, Maarten Marsman4, Eric-Jan Wagenmakers4.   

Abstract

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.

Entities:  

Keywords:  Evidence synthesis; Hypothesis testing; Meta-analysis; Replication

Mesh:

Year:  2019        PMID: 30105445     DOI: 10.3758/s13428-018-1092-x

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  11 in total

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2.  Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ.

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5.  Probabilistic forecasting of replication studies.

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7.  Untested assumptions perpetuate stereotyping: Learning in the absence of evidence.

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Journal:  J Exp Soc Psychol       Date:  2022-06-25

8.  Parallel age-related cognitive effects in autism: A cross-sectional replication study.

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9.  Do pride and shame track the evaluative psychology of audiences? Preregistered replications of Sznycer et al. (2016, 2017).

Authors:  Adam Scott Cohen; Rie Chun; Daniel Sznycer
Journal:  R Soc Open Sci       Date:  2020-05-13       Impact factor: 2.963

10.  Narratives bridge the divide between distant events in episodic memory.

Authors:  Brendan I Cohn-Sheehy; Angelique I Delarazan; Jordan E Crivelli-Decker; Zachariah M Reagh; Nidhi S Mundada; Andrew P Yonelinas; Jeffrey M Zacks; Charan Ranganath
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