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Cousineau, D., & Chartier, S. (2010). Detección y tratamiento de valores extremos: una revisión. International Journal of Psychological Research, 3(1), 58–67. https://doi.org/10.21500/20112084.844
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The editorial board reserves the right of amendments deemed necessary in the application of the rules of publication.
To give up copyright, the authors allow that, International Journal of Psychological Research, distribute the work more broadly, check for the reuse by others and take care of the necessary procedures for the registration and administration of copyright; at the same time, our editorial board represents the interests of the author and allows authors to re-use his work in various forms. In response to the above, authors transfer copyright to the journal, International Journal of Psychological Research. This transfer does not imply other rights which are not those of authorship (for example those that concern about patents). Likewise, preserves the authors rights to use the work integral or partially in lectures, books and courses, as well as make copies for educational purposes. Finally, the authors may use freely the tables and figures in its future work, wherever make explicit reference to the previous publication in International Journal of Psychological Research. The assignment of copyright includes both virtual rights and forms of the article to allow the editorial to disseminate the work in the manner which it deems appropriate.
The editorial board reserves the right of amendments deemed necessary in the application of the rules of publication.
Resumen
Los valores extremos son observaciones o medidas que son sospechosas en tanto que son mucho menores o mucho mayores que el resto de las observaciones. Estas observaciones son problemáticas en tanto que puede que no sean causadas por los procesos mentales que están siendo estudiados o puede que no reflejen la habilidad que se está estudiando. El problema es que unas pocas observaciones extremas son suficientes para distorsionar los resultados (alterando el desempeño medio, incrementando la variabilidad, etc.). En este artículo se revisan varias técnicas diseñadas para detectar observaciones extremas. Estas técnicas se subdividen en dos clases, aquellas relacionadas con datos univariados y aquellas relacionadas con datos multivariados. Dentro de estas dos clases, se consideran casos en que la distribución de la población es asumida como normal, casos en que la distribución es normal pero no conocida, o casos en que la población es desconocida. Para cada escenario se proponen algunas recomendaciones.
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Bamber, D. (1969). Reaction times and error rates for "same"-"different" judgments of multidimensional stimuli. Perception and Psychophysics, 6, 169-174.
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics : identifying influential data and sources of collinearity. Wiley series in probability and mathematical statistics. New York: John Wiley & Sons.
Cook, R. D. (1977). Detection of influatial observation in linear regression. Technometrics, 19, 15-18. Cousineau, D., & Shiffrin, R. M. (2004). Termination of a visual search with large display size effect. Spatial Vision, 17, 327-352.
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics : identifying influential data and sources of collinearity. Wiley series in probability and mathematical statistics. New York: John Wiley & Sons.
Cook, R. D. (1977). Detection of influatial observation in linear regression. Technometrics, 19, 15-18. Cousineau, D., & Shiffrin, R. M. (2004). Termination of a visual search with large display size effect. Spatial Vision, 17, 327-352.
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