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A non-parametric effect-size measure capturing changes in central tendency and data distribution shape
MOTIVATION: Calculating the magnitude of treatment effects or of differences between two groups is a common task in quantitative science. Standard effect size measures based on differences, such as the commonly used Cohen's, fail to capture the treatment-related effects on the data if the effec...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514071/ https://www.ncbi.nlm.nih.gov/pubmed/32970758 http://dx.doi.org/10.1371/journal.pone.0239623 |