Feb 22, 2017 13:13
7 yrs ago
5 viewers *
Spanish term
United Kingdom
diferencias estadísticamente significativas y al menos con tamaño de efecto medi
Spanish to English
Science
Mathematics & Statistics
Results of experiment
Results of an experiment in which groups of rats were / were not deprived of food.
I am utterly confused by this sentence and cannot get beyond a literal translation (which doesn't make sense).
"Dichos índices de tamaño del efecto se evaluaron de acuerdo con los niveles propuestos por Cohen (1988). Se comprobó previamente el cumplimiento del supuesto de homocedasticidad con la prueba F de Levene para las variables transversales y se utilizó la F ajustada de Greenhouse-Geisser para las variables de medidas repetidas con más de un grado de libertad.
Se encontraron **diferencias estadísticamente significativas y al menos con tamaño de efecto medio** en sólo dos efectos principales (ver Tabla 2), de las variables entrenamiento y sesiones."
Any help greatly appreciated.
I am utterly confused by this sentence and cannot get beyond a literal translation (which doesn't make sense).
"Dichos índices de tamaño del efecto se evaluaron de acuerdo con los niveles propuestos por Cohen (1988). Se comprobó previamente el cumplimiento del supuesto de homocedasticidad con la prueba F de Levene para las variables transversales y se utilizó la F ajustada de Greenhouse-Geisser para las variables de medidas repetidas con más de un grado de libertad.
Se encontraron **diferencias estadísticamente significativas y al menos con tamaño de efecto medio** en sólo dos efectos principales (ver Tabla 2), de las variables entrenamiento y sesiones."
Any help greatly appreciated.
Proposed translations
(English)
| 4 +1 | statistically significant differences and an effect size of medium or larger |
Samantha Cook
|
Proposed translations
+1
23 mins
Samantha Cook
United States
United States
Native in English
Specializes in field
United States
Accurate, precise scientific translation
Native in: English 
Works in: Spanish to English
Related KudoZ points
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24
Selected
statistically significant differences and an effect size of medium or larger
Here a basically literal translation is correct. If you're not familiar with the terms it probably sounds strange, but statistical significance and effect size are two different ways to measure the effect of some treatment.
Statistical significance here is related to the likelihood that an observed difference in outcomes between two groups was due to random chance. If unlikely, the conclusion is that the observed difference must be due to the treatment being studied, and the difference is deemed statistically significant.
Effect size is a way to quantify how large or how important the effect of a treatment is. It can be measured in various ways, and Cohen proposed a scale (arbitrary but used quite often in some fields) where an effect size of 0.2 is considered "small," 0.5 is considered "medium," and 0.8 is considered "large."
Since they are measured differently, it's possible to have a statistically significant outcome whose effect size is small or, conversely, an outcome that is not statistically significant but whose effect size is large. The text is focusing on those that are both statistically significant and have large effect size as a way of highlighting the "most important" outcome variables.
Some references for effect sizes:
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Note added at 5 hrs (2017-02-22 19:06:12 GMT)
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No problem Lucy, glad to help!
Statistical significance here is related to the likelihood that an observed difference in outcomes between two groups was due to random chance. If unlikely, the conclusion is that the observed difference must be due to the treatment being studied, and the difference is deemed statistically significant.
Effect size is a way to quantify how large or how important the effect of a treatment is. It can be measured in various ways, and Cohen proposed a scale (arbitrary but used quite often in some fields) where an effect size of 0.2 is considered "small," 0.5 is considered "medium," and 0.8 is considered "large."
Since they are measured differently, it's possible to have a statistically significant outcome whose effect size is small or, conversely, an outcome that is not statistically significant but whose effect size is large. The text is focusing on those that are both statistically significant and have large effect size as a way of highlighting the "most important" outcome variables.
Some references for effect sizes:
--------------------------------------------------
Note added at 5 hrs (2017-02-22 19:06:12 GMT)
--------------------------------------------------
No problem Lucy, glad to help!
Reference:
https://en.wikipedia.org/wiki/Effect_size
http://staff.bath.ac.uk/pssiw/stats2/page2/page14/page14.html
Note from asker:
| O the perils of translating outside one's campo! Thanks once again Samantha for a clear and precise explanation. |
| Many thanks |
4 KudoZ points awarded for this answer.
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