Listar por autor "Bono Cabré, Roser"
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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 ... -
Dataset esfericidad en diseños de medidas repetidas
Blanca-Mena, María José; Arnau Gras, Jaume; García-de-Castro, Fernando Javier; Alarcón-Postigo, Rafael; Bono Cabré, Roser (Universidad de Málaga, 2022-11-09)
Programación para analizar el impacto de la violación de la esfericidad en diseños de medidas repetidas -
Dataset for Repeated Measures ANOVA and Adjusted F-Tests When Sphericity is Violated: Which Procedure is Best?
Blanca-Mena, María José; Arnau Gras, Jaume; García-de-Castro, Fernando Javier; Alarcón-Postigo, Rafael; Bono Cabré, Roser (Universidad de Málaga, 2024-05-31)
Tables correspond to the performance of the F-statistic, and of F adjusted by the Greenhouse-Geisser (F-GG) and Huyhn-Feldt (F-HF) procedures in terms of Type I error and power in repeated measures designs with normal data. ... -
Dataset Robustez del ANOVA de medidas repetidas bajo no normalidad.
Blanca-Mena, María José; Arnau Gras, Jaume; García-de-Castro, Fernando Javier; Alarcón-Postigo, Rafael; Bono Cabré, Roser (Universidad de Málaga, 2024-01-31)
Datos pertenecientes a una investigación sobre robustez del ANOVA de medidas repetidas bajo ausencia de normalidad. -
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. ... -
NO NORMALIDAD Y HETEROGENEIDAD DE VARIANZA EN EL MODELO LINEALMIXTO (MLM) EN DISEÑOS SPLIT-PLOTCON MUESTRAS PEQUEÑAS
Arnau Gras, Jaume; Bendayan, Rebecca; Blanca-Mena, María José; Bono Cabré, Roser (2013-09-13)
Los datos provenientes de investigaciones de tipo longitudinal en psicología suelen reflejar condiciones características de este ámbito de estudio, como son los tamaños muestrales reducidos, distribuciones no normales, ... -
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 ...