The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Hierarchical Linear Models
Overview
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Citations
Cites
Bayes Estimates for the Linear Model
Lindley, D. V., & Smith, A. F. M. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00885.x · Cited by 2,025
Research works printed but not linked: 4
- Neider, 1977, A reformulation of linear models (with discussion), J. Royal Statist. Soc. A, 140, 48, 10.2307/2344517 · DOI · Paper page
- Raudenbush, 1986, A hierarchical model for studying school effects, Sociol. Educ., 59, 1, 10.2307/2112482 · DOI · Paper page
- Smith, 1973, A general Bayesian linear model, J. Royal Statist. Soc. B, 35, 61, 10.1111/j.2517-6161.1973.tb00937.x · DOI
- Wong, 1991, Contextually specific effects and other generalizations of the hierarchical linear model for comparative analysis, J. Am. Statist. Assoc., 86, 487, 10.1080/01621459.1991.10475073 · DOI
Cited by
A general and simple method for obtaining R 2 from generalized linear mixed‐effects models
Nakagawa, S., & Schielzeth, H. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00261.x · Cited by 10,356
Missing data analysis: making it work in the real world
Graham, J. W. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085530 · Cited by 6,163
Socioeconomic Status and Academic Achievement: A Meta-Analytic Review of Research
Sirin, S. R. (2005) · Review of Educational Research · doi:10.3102/00346543075003417 · Cited by 4,687
Sufficient Sample Sizes for Multilevel Modeling
Maas, C. J. M., & Hox, J. J. (2005) · Methodology · doi:10.1027/1614-2241.1.3.86 · Cited by 3,582
The disaggregation of within-person and between-person effects in longitudinal models of change
Curran, P. J., & Bauer, D. J. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100356 · Cited by 2,056
Metadata
- Authors
- Gill, J.
- Venue
- Encyclopedia of Social Measurement
- Publisher
- Elsevier
- Published
- 2005
- Pages
- 209-214
- OpenAlex
- W2497171922
- Cited by
- 3,114
- References
- 1
- Type
- reference entry
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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How to cite
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- CoChat. (2026). Citation check: Hierarchical Linear Models. https://app.cochat.ai/papers/10.1016/b0-12-369398-5/00166-3
- The paper
- Gill, J. (2005). Hierarchical Linear Models. Encyclopedia of Social Measurement. https://doi.org/10.1016/b0-12-369398-5/00166-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
