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Violating the normality assumption may be the lesser of two evils
When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a more specific error structure or use randomization techniques. Here we use Monte Carlo simulations to explore the pros and c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613103/ https://www.ncbi.nlm.nih.gov/pubmed/33963496 http://dx.doi.org/10.3758/s13428-021-01587-5 |