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dc.contributor.author武藤, 拓之ja
dc.contributor.alternativeMuto, Hiroyukien
dc.date.accessioned2022-11-28T04:00:51Z-
dc.date.available2022-11-28T04:00:51Z-
dc.date.issued2021-03-
dc.identifier.urihttp://hdl.handle.net/2433/277508-
dc.description.abstractHierarchical Bayesian modeling is a powerful and promising tool that aids experimental psychologists to flexibly build and evaluate interpretable statistical models that consider inter-individual and inter-trial variability. This article offers several examples of hierarchical Bayesian modeling to introduce the idea and to show its implementation with R and Stan. As a tutorial, it uses data from well-known experimental paradigms in perceptual and cognitive psychology. Specifically, I present linear models for correct response time data from a mental rotation task, probit models for binary choice data from two psychophysical tasks, and drift diffusion models for both response time and binary choice data from an Eriksen flanker task. The R and Stan scripts and data are available on the Open Science Framework repository at https://doi.org/10.17605/osf.io/2zxs6. The importance of model selection and the potential functions of open data practices in statistical modeling are also briefly discussed.en
dc.language.isojpn-
dc.publisher日本基礎心理学会ja
dc.publisher.alternativeJapanese Psychonomic Societyen
dc.rights© 2021 日本基礎心理学会ja
dc.rights発行元の許可を得て登録しています.ja
dc.subjectBayesian statistical modelingen
dc.subjectex-Gaussian distributionen
dc.subjectpsychophysical measurementen
dc.subjectdrift diffusion modelen
dc.subjectopen dataen
dc.title実験心理学者のための階層ベイズモデリング入門--RとStanによるチュートリアル--ja
dc.title.alternativeIntroduction to hierarchical Bayesian modeling for experimental psychologists: A tutorial using R and Stanen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitle基礎心理学研究ja
dc.identifier.volume39-
dc.identifier.issue2-
dc.identifier.spage196-
dc.identifier.epage212-
dc.relation.doi10.14947/psychono.39.27-
dc.textversionpublisher-
dcterms.accessRightsopen access-
dc.identifier.pissn0287-7651-
dc.identifier.eissn2188-7977-
dc.identifier.jtitle-alternativeThe Japanese Journal of Psychonomic Scienceen
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