Other ways of understanding Cohen’s d
Cohen’s d (d) is quite a used measure of the size of the effect and its report is compulsory necessary in sta-tistical analyzes. Nevertheless, researchers report that the difference between two distributions is small (d > .20). However, the interpretation of this coefficient is not clear in p...
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Facultad de Psicología. Laboratorio de Evaluación Psicológica y Educativa (LEPE)
2018
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/revaluar/article/view/22305 |
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I10-R10-article-223052021-06-06T22:16:15Z Other ways of understanding Cohen’s d Otras formas de entender la d de Cohen Ventura-León, José d de Cohen tamaño del efecto medidas alternativas probabilidad de superioridad coeficiente de superposición Cohen’s d (d) is quite a used measure of the size of the effect and its report is compulsory necessary in sta-tistical analyzes. Nevertheless, researchers report that the difference between two distributions is small (d > .20). However, the interpretation of this coefficient is not clear in psychology studies. In this sense, it is necessary to con-vert the d into a probability measure to facilitate the inter-pretation of the distributions that are object of comparison. Among the most frequent measures are: Cohen’s U3, the superposition coefficient (OVL), the probability of superi-ority (PS) and the number needed to treat (NNT), which can be considered as alternative measures of the magnitude of a difference. For such purposes, R codes that can be easi-ly used by the researchers are provided, as well as a table showing the modifications of the alternative measures be-fore the increase in the size of the effect. La d de Cohen (d) es una medida del tamaño del efecto bastante utilizada y su reporte es una condición necesaria para los análisis estadísticos. No obstante, los investigadores reportan que la diferencia entre dos distribuciones es pequeña (d > .20). Sin embargo, la interpretación de ese coeficiente no es clara en estudios de psicología. En ese sentido, es necesario convertir la d en una medida de probabilidad y de esa forma facilitar la interpretación de las distribuciones que son objeto de comparación. Dentro de las medidas más frecuentes se encuentran: U3 de Cohen, el coeficiente de superposición (OVL), la probabilidad de superioridad (PS) y el número necesario para tratar (NNT) que pueden ser considerados como medidas alternativas de la magnitud de una diferencia. Para tales fines se proporcionan códigos en R que los investigadores pueden usar fácilmente, además de una tabla que evidencia las modificaciones de las medidas alternativas ante el incremento del tamaño del efecto. Facultad de Psicología. Laboratorio de Evaluación Psicológica y Educativa (LEPE) 2018-12-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/revaluar/article/view/22305 Revista Evaluar; Vol. 18 Núm. 3 (2018) 1667-4545 1515-1867 10.35670/1667-4545.v18.n3 spa https://revistas.unc.edu.ar/index.php/revaluar/article/view/22305/21903 Derechos de autor 2018 José Ventura-León http://creativecommons.org/licenses/by/4.0 |
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Universidad Nacional de Córdoba |
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Español |
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Artículo revista |
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d de Cohen tamaño del efecto medidas alternativas probabilidad de superioridad coeficiente de superposición |
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d de Cohen tamaño del efecto medidas alternativas probabilidad de superioridad coeficiente de superposición Ventura-León, José Other ways of understanding Cohen’s d |
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d de Cohen tamaño del efecto medidas alternativas probabilidad de superioridad coeficiente de superposición |
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Ventura-León, José |
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Ventura-León, José |
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Ventura-León, José |
| title |
Other ways of understanding Cohen’s d |
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Other ways of understanding Cohen’s d |
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Other ways of understanding Cohen’s d |
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Other ways of understanding Cohen’s d |
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Other ways of understanding Cohen’s d |
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other ways of understanding cohen’s d |
| description |
Cohen’s d (d) is quite a used measure of the size of the effect and its report is compulsory necessary in sta-tistical analyzes. Nevertheless, researchers report that the difference between two distributions is small (d > .20). However, the interpretation of this coefficient is not clear in psychology studies. In this sense, it is necessary to con-vert the d into a probability measure to facilitate the inter-pretation of the distributions that are object of comparison. Among the most frequent measures are: Cohen’s U3, the superposition coefficient (OVL), the probability of superi-ority (PS) and the number needed to treat (NNT), which can be considered as alternative measures of the magnitude of a difference. For such purposes, R codes that can be easi-ly used by the researchers are provided, as well as a table showing the modifications of the alternative measures be-fore the increase in the size of the effect. |
| publisher |
Facultad de Psicología. Laboratorio de Evaluación Psicológica y Educativa (LEPE) |
| publishDate |
2018 |
| url |
https://revistas.unc.edu.ar/index.php/revaluar/article/view/22305 |
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