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

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

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

Integrity signals

Registry

Crossref · 10.1016/j.jml.2007.12.005

Cites

68 of 68 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Cites

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5 of the 73 references couldn’t be matched to a known paper.

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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.
Venue
Journal of Memory and Language
Publisher
Elsevier BV
Published
2008-11
Volume
59
Issue
4
Pages
390-412
ISSN
0749-596X (ISSN-L)
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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