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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...
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| Publicat a: | PLoS One |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514071/ https://ncbi.nlm.nih.gov/pubmed/32970758 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0239623 |
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