The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Statistical Modelling of Data on Teaching Styles
Overview
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Citations
Cites
(1975) · CERN Document Server (European Organization for Nuclear Research) · Cited by 5,958
Recovery of inter-block information when block sizes are unequal
PATTERSON, H. D., & THOMPSON, R. (1971) · Biometrika · doi:10.1093/biomet/58.3.545 · Cited by 4,058
Searle, S. R., & Searle, S. R. (1971) · Cited by 3,229
Mayer, T. F., Lazarsfeld, P. F., & Henry, N. W. (1969) · American Sociological Review · doi:10.2307/2092222 · Cited by 2,384
A Simplified Monte Carlo Significance Test Procedure
Hope, A. C. A. (1968) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1968.tb00759.x · Cited by 1,073
Some Contributions to Maximum Likelihood Factor Analysis
Jöreskog, K. G. (1967) · Psychometrika · doi:10.1007/bf02289658 · Cited by 870
Nonparametric maximum likelihood estimation of a mixing distribution
Laird, N. (1978) · Journal of the American Statistical Association · doi:10.1080/01621459.1978.10480103 · Cited by 753
Separate sample logistic discrimination
ANDERSON, J. A. (1972) · Biometrika · doi:10.1093/biomet/59.1.19 · Cited by 639
Maximum-likelihood estimation for the mixed analysis of variance model
HARTLEY, H. O., & RAO, J. N. K. (1967) · Biometrika · doi:10.1093/biomet/54.1-2.93 · Cited by 617
PATTERN CLUSTERING BY MULTIVARIATE MIXTURE ANALYSIS
Wolfe, J. H. (1970) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr0503_6 · Cited by 609
Cited by
Mixed-effects modeling with crossed random effects for subjects and items
Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2007.12.005 · Cited by 8,540
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640
How country characteristics affect the perceived value of Web sites
Steenkamp, J.-B. E. M., & Geyskens, I. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.3.136 · Cited by 465
Standard Errors and Sample Sizes for Two-Level Research
Snijders, T. A. B., & Bosker, R. J. (1993) · Journal of Educational Statistics · doi:10.3102/10769986018003237 · Cited by 487
Jedidi, K., Jagpal, H. S., & DeSarbo, W. S. (1997) · Marketing Science · doi:10.1287/mksc.16.1.39 · Cited by 435
Metadata
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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: Statistical Modelling of Data on Teaching Styles. https://app.cochat.ai/papers/10.2307/2981826
- The paper
- Aitkin, M., Anderson, D., & Hinde, J. (1981). Statistical Modelling of Data on Teaching Styles. Journal of the Royal Statistical Society. Series A (General). https://doi.org/10.2307/2981826
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.