Browsing by Author Alarcón Postigo, Rafael
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
|---|---|---|
| 2020 | 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, M. José |
| 13-Dec-2018 | Current Practices in Data Analysis Procedures in Psychology: What Has Changed? | Blanca Mena, M. José; Alarcón Postigo, Rafael; Bono Cabré, Roser |
| 1-Jun-2018 | Effect of variance ratio on ANOVA robustness: Might 1.5 be the limit? | Blanca Mena, M. José; Alarcón Postigo, Rafael; Arnau Gras, Jaume; Bono Cabré, Roser; Bendayan, Rebecca |
| Oct-2024 | How to proceed when both normality and sphericity are violated in the repeated measures ANOVA | Blanca Mena, M. José; Alarcón Postigo, Rafael; Arnau Gras, Jaume; García Castro, Javier; Bono Cabré, Roser |
| 2023 | Non-normal data in repeated measures ANOVA: Impact on type I error and power | Blanca Mena, M. José; Arnau Gras, Jaume; García-Castro, F. Javier; Alarcón Postigo, Rafael; Bono Cabré, Roser |
| 2017 | Non-normal data: Is ANOVA still a valid option? | Blanca Mena, M. José; Alarcón Postigo, Rafael; Arnau Gras, Jaume; Bono Cabré, Roser; Bendayan, Rebecca |
| 30-Aug-2023 | Repeated Measures ANOVA and adjusted F-tests when sphericity is violated: Which procedure is best? | Blanca Mena, M. José; Arnau Gras, Jaume; García-Castro, F. Javier; Alarcón Postigo, Rafael; Bono Cabré, Roser |
| 22-Apr-2021 | Report quality of generalized linear mixed models in psychology: A systematic review | Bono Cabré, Roser; Alarcón Postigo, Rafael; Blanca Mena, M. José |
| May-2023 | Robustness of generalized linear mixed models for split-plot designs with binary data | Bono Cabré, Roser; Alarcón Postigo, Rafael; Arnau Gras, Jaume; García-Castro, F. Javier; Blanca Mena, M. José |
| 2016 | Sphericity estimation bias for repeated measures designs in simulation studies | Bono Cabré, Roser; Arnau Gras, Jaume; Blanca Mena, M. José; Alarcón Postigo, Rafael |