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DC Field | Value | Language |
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dc.contributor.author | Blanca Mena, M. José | - |
dc.contributor.author | Arnau Gras, Jaume | - |
dc.contributor.author | García-Castro, F. Javier | - |
dc.contributor.author | Alarcón Postigo, Rafael | - |
dc.contributor.author | Bono Cabré, Roser | - |
dc.date.accessioned | 2024-01-13T17:00:42Z | - |
dc.date.available | 2024-01-13T17:00:42Z | - |
dc.date.issued | 2023-08-30 | - |
dc.identifier.issn | 1664-1078 | - |
dc.identifier.uri | http://hdl.handle.net/2445/205662 | - |
dc.description.abstract | Introduction: One-way repeated measures ANOVA requires sphericity. Research indicates that violation of this assumption has an important impact on Type I error. Although more advanced alternative procedures exist, most classical texts recommend the use of adjusted F-tests, which are frequently employed because they are intuitive, easy to apply, and available in most statistical software. Adjusted F-tests differ in the procedure used to estimate the corrective factor ε, the most common being the Greenhouse-Geisser (F-GG) and Huynh-Feldt (F-HF) adjustments. Although numerous studies have analyzed the robustness of these procedures, the results are inconsistent, thus highlighting the need for further research. Methods: The aim of this simulation study was to analyze the performance of the Fstatistic, F-GG, and F-HF in terms of Type I error and power in one-way designs with normal data under a variety of conditions that may be encountered in real research practice. Values of ε were fixed according to the Greenhouse–Geisser procedure (ε). We manipulated the number of repeated measures (3, 4, and 6) and sample size (from 10 to 300), with ε values ranging from the lower to its upper limit. Results: Overall, the results showed that the F-statistic becomes more liberal as sphericity violation increases, whereas both F-HF and F-GG control Type I error; of the two, F-GG is more conservative, especially with large values of ε and small samples. Discussion: If different statistical conclusions follow from application of the two tests, we recommend using F-GG for ε values below 0.60, and F-HF for ε values equal to or above 0.60. | - |
dc.format.extent | 11 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Frontiers Media | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/https://doi.org/10.3389/fpsyg.2023.1192453 | - |
dc.relation.ispartof | Frontiers in Psychology, 2023, vol. 14, 1192453 | - |
dc.relation.uri | https://doi.org/https://doi.org/10.3389/fpsyg.2023.1192453 | - |
dc.rights | cc-by (c) Blanca, M. J. et al., 2023 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | - |
dc.source | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) | - |
dc.subject.classification | Models lineals (Estadística) | - |
dc.subject.classification | Anàlisi de variància | - |
dc.subject.classification | Ciències socials | - |
dc.subject.other | Linear models (Statistics) | - |
dc.subject.other | Analysis of variance | - |
dc.subject.other | Social sciences | - |
dc.title | Repeated Measures ANOVA and adjusted F-tests when sphericity is violated: Which procedure is best? | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 741251 | - |
dc.date.updated | 2024-01-13T17:00:42Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) |
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838309.pdf | 4.28 MB | Adobe PDF | View/Open |
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