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http://hdl.handle.net/2445/122126
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DC Field | Value | Language |
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dc.contributor.author | Blanca Mena, M. José | - |
dc.contributor.author | Alarcón Postigo, Rafael | - |
dc.contributor.author | Arnau Gras, Jaume | - |
dc.contributor.author | Bono Cabré, Roser | - |
dc.contributor.author | Bendayan, Rebecca | - |
dc.date.accessioned | 2018-05-07T11:07:07Z | - |
dc.date.available | 2018-05-07T11:07:07Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 0214-9915 | - |
dc.identifier.uri | http://hdl.handle.net/2445/122126 | - |
dc.description.abstract | Background: The robustness of F-test to non-normality has been studied from the 1930s through to the present day. However, this extensive body of research has yielded contradictory results, there being evidence both for and against its robustness. This study provides a systematic examination of F-test robustness to violations of normality in terms of Type I error, considering a wide variety of distributions commonly found in the health and social sciences. Method: We conducted a Monte Carlo simulation study involving a design with three groups and several known and unknown distributions. The manipulated variables were: Equal and unequal group sample sizes; group sample size and total sample size; coeffi cient of sample size variation; shape of the distribution and equal or unequal shapes of the group distributions; and pairing of group size with the degree of contamination in the distribution. Results: The results showed that in terms of Type I error the F-test was robust in 100% of the cases studied, independently of the manipulated conditions. | - |
dc.format.extent | 6 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Facultad de Psicología de la Universidad de Oviedo y el Colegio Oficial de Psicólogos del Principado de Asturias | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.7334/psicothema2016.383 | - |
dc.relation.ispartof | Psicothema, 2017, vol. 29, num. 4, p. 552-557 | - |
dc.relation.uri | https://doi.org/10.7334/psicothema2016.383 | - |
dc.rights | (c) Psicothema, 2017 | - |
dc.source | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) | - |
dc.subject.classification | Anàlisi de variància | - |
dc.subject.classification | Ciències socials | - |
dc.subject.other | Analysis of variance | - |
dc.subject.other | Social sciences | - |
dc.title | Non-normal data: Is ANOVA still a valid option? | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 671797 | - |
dc.date.updated | 2018-05-07T11:07:07Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 29048317 | - |
Appears in Collections: | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) |
Files in This Item:
File | Description | Size | Format | |
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671797.pdf | 321.18 kB | Adobe PDF | View/Open |
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