The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Some Approximate Tests for Repeated Measurement Designs
Abstract
Four approximate tests are considered for repeated measurement designs in which observations are multivariate normal with arbitrary covariance matrices. In these tests traditional within-subject mean square ratios are compared with critical values derived from F distributions with adjusted degrees of freedom. Two of them—the ∈ approximate and the improved general approximate (IGA) tests-behave adequately in terms of Type I error. Generally, the IGA test functions better than the ∈ approximate test, however the latter involves less computations. In regards to power, the IGA test may compete with one multivariate procedure when the assumptions of the latter are tenable.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An Extension of Box's Results on the Use of the $F$ Distribution in Multivariate Analysis
Geisser, S., & Greenhouse, S. W. (1958) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177706545 · Cited by 1,098
Huynh, H., & Feldt, L. S. (1970) · Journal of the American Statistical Association · doi:10.2307/2284340 · Cited by 945
Self-citation
Cited by
MANOVA method for analyzing repeated measures designs: An extensive primer.
O'Brien, R. G., & Kaiser, M. K. (1985) · Psychological Bulletin · doi:10.1037/0033-2909.97.2.316 · Cited by 1,148
HYPNOTIC EFFICACY OF TEMAZEPAM: A LONG‐TERM SLEEP LABORATORY EVALUATION
MITLER, M. M., CARSKADON, M. A., PHILLIPS, R. L., STERLING, W. R., ZARCONE, V. P., SPIEGEL, R., GUILLEMINAULT, C., & DEMENT, W. C. (1979) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.1979.tb00459.x · Cited by 60
A wild bootstrap approach for nonparametric repeated measurements
Friedrich, S., Konietschke, F., & Pauly, M. (2017) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2016.06.016 · Cited by 41
Multimodal study of the neural sources of error monitoring in adolescents and adults
Conte, S., Richards, J. E., Fox, N. A., Valadez, E. A., McSweeney, M., Tan, E., Pine, D. S., Winkler, A. M., Liuzzi, L., Cardinale, E. M., et al. (2023) · Psychophysiology · doi:10.1111/psyp.14336 · Cited by 5
Metadata
- Authors
- Huynh, H.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1978-06
- Volume
- 43
- Issue
- 2
- Pages
- 161-175
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2065308478
- Cited by
- 192
- References
- 2
- FWCI
- 6.28
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Some Approximate Tests for Repeated Measurement Designs. https://app.cochat.ai/papers/10.1007/bf02293860
- The paper
- Huynh, H. (1978). Some Approximate Tests for Repeated Measurement Designs. Psychometrika. https://doi.org/10.1007/bf02293860
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.
