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Listar PMCC - Artículos por autor "Bono Cabré, Roser"
Mostrando ítems 1-6 de 6
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Bias, Precision, and Accuracy of Skewness and Kurtosis Estimators for Frequently Used Continuous Distributions.
Bono Cabré, Roser; Arnau Gras, Jaume; Alarcón-Postigo, Rafael; Blanca-Mena, María José
(MDPI, 2019-12-20)
Several measures of skewness and kurtosis were proposed by Hogg (1974) in order to reduce the bias of conventional estimators when the distribution is non-normal. Here we conducted a Monte Carlo simulation study to compare ... -
Effect of variance ratio on ANOVA robustness: Might 1.5 be the limit?
Blanca-Mena, María José; Alarcón-Postigo, Rafael
; Arnau, Jaume; Bono Cabré, Roser; Bendayan, Rebecca (Springer, 2017-06-22)
Inconsistencies in the research findings on F-test robustness to variance heterogeneity could be related to the lack of a standard criterion to assess robustness or to the dif ferent measures used to quantify heterogeneity. ... -
Non-normal Data in Repeated Measures ANOVA: Impact on Type I Error and Power.
Blanca-Mena, María José; Arnau, Jaume; García-Castro, F. Javier; Alarcón-Postigo, Rafael
; Bono Cabré, Roser (Grupo Editorial de Psicofundación, 2022-09-25)
Background: Repeated measures designs are commonly used in health and social sciences research. Although there are other, more advanced, statistical analyses, the F-statistic of repeated measures analysis of variance ... -
Repeated measures ANOVA and adjusted F-tests when sphericity is violated: which procedure is best?
Blanca-Mena, María José; Arnau, Jaume; García-Castro, F. Javier; Alarcón-Postigo, Rafael
; Bono Cabré, Roser (Frontiers, 2023)
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 ... -
Report Quality of Generalized Linear Mixed Models in Psychology: A Systematic Review.
Bono Cabré, Roser; Alarcón-Postigo, Rafael; Blanca-Mena, María José
(Frontiers, 2021-04-22)
Generalized linear mixed models (GLMMs) estimate fixed and random effects and are especially useful when the dependent variable is binary, ordinal, count or quantitative but not normally distributed. They are also useful ... -
Robustness of Generalized Linear Mixed Models for Split-Plot Designs with Binary Data.
Bono Cabré, Roser; Alarcón-Postigo, Rafael; García-Castro, F. Javier; Blanca-Mena, María José
(Universidad de Murcia, 2023-04-27)
This paper examined the robustness of the generalized linear mixed model (GLMM). The GLMM estimates fixed and random effects, and it is especially useful when the dependent variable is binary. It is also useful when the ...