The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration
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Citations
Cites
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology · doi:10.2307/2075823 · Cited by 18,724
Hierarchical Linear Models: Applications and Data Analysis Methods
Davidian, M. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s288 · Cited by 13,723
Multilevel analysis : an introduction to basic and advanced multilevel modeling
Snijders, T. A. B., & Bosker, R. (1999) · Cited by 6,832
Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2011) · Wiley Series in Probability and Statistics · doi:10.1002/9781119513469 · Cited by 4,639
Small sample inference for fixed effects from restricted maximum likelihood
Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552 · cited 4×
“Kenward and Roger (1997, 2009) showed by proof, simulation, and real-data example that their denominator degrees of freedom and covariance matrix adjustment can greatly reduce the underestimation of fixed-effect standard errors when the number of clusters is small in continuous outcome models with…”
BackgroundMethodInfluentialAn Approximate Distribution of Estimates of Variance Components
Satterthwaite, F. E. (1946) · Biometrics Bulletin · doi:10.2307/3002019 · Cited by 4,373
Gelman, A. (2006) · Bayesian Analysis · doi:10.1214/06-ba117a · Cited by 4,050 · cited 4×
“Although not in the context of a simulation, Gelman (2006) used Bayesian MCMC to reasonably estimate a model for data with less than five clusters.”
BackgroundMethodInfluentialSufficient 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
Hox, J., Moerbeek, M., & van de Schoot, R. (2010) · doi:10.4324/9780203852279 · Cited by 3,469
Research works printed but not linked: 4
- Bell, Schoeneberger, Smiley, Ene, and Leighton (2013). Doubly diminishing returns: an empirical investigation on the impact of sample size and predictor prevalence on point and interval estimates in two-level linear models. Paper presented at the Modern Modeling Methods Conference (M3). Storrs.
- *Cohen, J. (1998). Determining sample sizes for surveys with data analyzed by hierarchical linear models. Journal of Official Statistics, 14, 267–275.
- Searle, S. R., Casella, G., & McCulloch, C. E. (2006). Variance components. Hoboken: Wiley.
- Van der Leeden, R., Busing, F., & Meijer, E. (1997, April). Applications of bootstrap methods for two-level models. Paper presented at the Multilevel Conference. Amsterdam.
Cited by
Income Segregation between School Districts and Inequality in Students’ Achievement
Owens, A. (2018) · Sociology of Education · doi:10.1177/0038040717741180 · Cited by 287
Peer and teacher supports in relation to motivation and effort: A multi-level study
Wentzel, K. R., Muenks, K., McNeish, D., & Russell, S. (2017) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2016.11.002 · Cited by 264
Self-citationCareless responding in questionnaire measures: Detection, impact, and remedies
Goldammer, P., Annen, H., Stöckli, P. L., & Jonas, K. (2020) · The Leadership Quarterly · doi:10.1016/j.leaqua.2020.101384 · Cited by 200
Missing data methods for arbitrary missingness with small samples
McNeish, D. (2017) · Journal of Applied Statistics · doi:10.1080/02664763.2016.1158246 · Cited by 189
Self-citationRen, S., Jiang, K., & Tang, G. (2022) · Human Resource Management · doi:10.1002/hrm.22079 · Cited by 180
Metadata
- Authors
- McNeish, D. M., & Stapleton, L. M.
- Venue
- Educational Psychology Review
- Published
- 2014-10-19
- Volume
- 28
- Issue
- 2
- Pages
- 295-314
- ISSN
- 1040-726X (ISSN-L)
- 1573-336X
- OpenAlex
- W2029266105
- Cited by
- 715
- References
- 46
- FWCI
- 19.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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- McNeish, D. M., & Stapleton, L. M. (2016). The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration. Educational Psychology Review. https://doi.org/10.1007/s10648-014-9287-x
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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.
