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COMPARISON BETWEEN TREATMENTS IN A REPEATED‐MEASUREMENT DESIGN: ANOVA AND MULTIVARIATE METHODS

Rouanet, H., Lépine, D.·1970·British Journal of Mathematical and Statistical Psychology

Abstract

This paper investigates several methods available for testing comparisons between treatments in a repeated‐measurement design, within the framework of the general multinormal model. Various ratios are considered, and the weakest assumptions required for the validity of each F ratio are presented. When several F ratios are valid, power considerations are introduced for purposes of choice. Methods enabling the testing of validity assumptions are also presented, together with alternative multivariate statistics which can be used when no F ratio is valid. All procedures presented in the paper are illustrated by a numerical example.

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Metadata

Authors
Rouanet, H., & Lépine, D.
Venue
British Journal of Mathematical and Statistical Psychology
Publisher
Wiley
Published
1970-11
Volume
23
Issue
2
Pages
147-163
ISSN
  • 0007-1102 (ISSN-L)
  • 2044-8317
OpenAlex
W2023174345
Cited by
196
References
0
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: COMPARISON BETWEEN TREATMENTS IN A REPEATED‐MEASUREMENT DESIGN: ANOVA AND MULTIVARIATE METHODS. https://app.cochat.ai/papers/10.1111/j.2044-8317.1970.tb00440.x
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Rouanet, H., & Lépine, D. (1970). COMPARISON BETWEEN TREATMENTS IN A REPEATED‐MEASUREMENT DESIGN: ANOVA AND MULTIVARIATE METHODS. British Journal of Mathematical and Statistical Psychology. https://doi.org/10.1111/j.2044-8317.1970.tb00440.x

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.