Cited by 642Statistical Methods and Bayesian InferenceReliability and Agreement in MeasurementSpatial and Panel Data Analysis

On multi-level modeling of data from repeated measures designs: a tutorial

Quené, Hugo, van den Bergh, Huub·2004·Speech Communication

Integrity signals

Registry

Crossref · 10.1016/j.specom.2004.02.004

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

4 of the 58 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Quené, H., & van den Bergh, H.
Affiliations
Utrecht University (NL)
Corresponding author
Quené, Hugo
Venue
Speech Communication
Publisher
Elsevier BV
Published
2004-06
Volume
43
Issue
1-2
Pages
103-121
ISSN
0167-6393 (ISSN-L)
OpenAlex
W2037705678
Cited by
642
References
58
Citations by year
2026: 15 · 2025: 29 · 2024: 31 · 2023: 25 · 2022: 34 · 2021: 45 · 2020: 43 · 2019: 40 · 2018: 50 · 2017: 58 · 2016: 37 · 2015: 35 · 2014: 36 · 2013: 30 · 2012: 34
FWCI
9.80
Type
journal article
Language
en
Open access
closed
Locations
Speech Communication (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Keywords
multilevel modeling, repeated measures designs, sphericity assumption, design effect, missing data, variance components, covariance structure, statistical power, ANOVA comparison

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review