On multi-level modeling of data from repeated measures designs: a tutorial
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“Although this should only be seen as a proxy for the power of the reported multilevel models (MLMs), previous research showed that power in MLM is comparable to (or even higher than) power in an ANOVA design (Baldwin, Imel, Braithwaite, & Atkins, 2014; Quené & van den Bergh, 2004).”
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- Authors
- Quené, H., & van den Bergh, H.
- Affiliations
- Utrecht University (NL)
- Corresponding author
- Quené, Hugo
- ORCID
- 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.
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