Cited by 8,540Statistical Methods and Bayesian InferencePsychometric Methodologies and TestingReliability and Agreement in Measurement

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Mixed-effects modeling with crossed random effects for subjects and items

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Baayen, R.H., Davidson, D.J., Bates, D.M.·2008·Journal of Memory and Language

DOI 10.1016/j.jml.2007.12.005

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Dien, 2004, Application of repeated measures anova to high-density erp datasets: A review and tutorial

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“In other words, mixed logit models can combine F1 and F2 analysis (for more detail and examples for linear mixed models, see Pinheiro & Bates, 2000; Baayen et al., 2008).”
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Authors: Baayen, R. H., Davidson, D. J., & Bates, D. M.
Affiliations: University of Alberta (CA)
Max Planck Institute for Psycholinguistics (NL)
University of Wisconsin–Madison (US)
Corresponding author: Baayen, R.H.
ORCID: Baayen, R.H.
Bates, D.M.
Venue: Journal of Memory and Language
Publisher: Elsevier BV
Published: 2008-11
Volume: 59
Issue: 4
Pages: 390-412
ISSN: 0749-596X (ISSN-L)
DOI: 10.1016/j.jml.2007.12.005
OpenAlex: W2125001590
Cited by: 8,540
References: 73
Citations by year: 2026: 412 · 2025: 499 · 2024: 461 · 2023: 533 · 2022: 630 · 2021: 686 · 2020: 636 · 2019: 639 · 2018: 585 · 2017: 559 · 2016: 563 · 2015: 509 · 2014: 439 · 2013: 420 · 2012: 380
FWCI: 183.09
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: other-oa
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Memory and Language (publishedVersion)
Max Planck Institute for Plasma Physics (submittedVersion)
Max Planck Digital Library (submittedVersion, other-oa)
MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
Radboud Repository (Radboud University) (submittedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
Keywords: mixed models, crossed random effects, repeated measurement data, random regression models

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Mixed-effects modeling with crossed random effects for subjects and items

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