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Beaulieu-Prévost, D. (2010). Ganando confianza con intervalos: guías prácticas, consejos y trucos para enfrentar situaciones reales de investigación. International Journal of Psychological Research, 3(1), 46–57. https://doi.org/10.21500/20112084.841
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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 intervalos de confianza (IC) y las medidas de tamaño de efecto están convirtiéndose gradualmente en la forma estándar de reportar resultados de análisis estadísticos en artículos de investigación, en lugar de, o además de, los valores p. Sin embargo, tal cambio en las prácticas de investigación se ha comunicado poco en la enseñanza de la estadística. Este artículo es el tercero en una serie escritos que sirven como referencia general sobre el use de los IC en las ciencias sociales. Este artículo tiene como propósito proveer guías, consejos, y trucos útiles que le permitan al lector (a) enfrentar la mayoría de problemas estadísticos que suceden en situaciones reales de investigación y (b) mejorar su conocimiento sobre los IC y contestar más eficientemente las preguntas de interés. La primera parte del artículo presenta brevemente los elementos básicos acerca del uso de los IC: cómo computarlos, cómo interpretarlos, y cómo usarlos en las pruebas de hipótesis. La segunda parte presenta algunos de los asuntos más importantes (aunque algunas veces negados) acerca de los IC: representaciones gráficas, distribuciones complejas, encuestas nacionales, la familia de la estadística de los intervalos (e.g., intervalos de predicción), y la aproximación Bayesiana a las probabilidades.
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Beaulieu-Prévost, D. (2006). From tests of statistical significance to confidence intervals, range hypotheses and substantial effects. Tutorials in Quantitative Methods for Psychology, 2, 11-19.
Beaulieu-Prévost, D. (2007). Statistical decision and falsification in science: Going beyond the null hypothesis. In B. Hardy-Vallée (Ed.). Cognitive decision-making: Empirical and foundational issues. Cambridge : Cambridge Scholar Publishing. [A previous version of the paper also appears at http://eradec.teluq.uquebec.ca/IMG/pdf/CIC_2005_05.pdf, page visited october 15th, 2009]
Beaulieu-Prévost, D. Professional web site: Statistical resources, [Online].
Beaulieu-Prévost, D. (2007). Statistical decision and falsification in science: Going beyond the null hypothesis. In B. Hardy-Vallée (Ed.). Cognitive decision-making: Empirical and foundational issues. Cambridge : Cambridge Scholar Publishing. [A previous version of the paper also appears at http://eradec.teluq.uquebec.ca/IMG/pdf/CIC_2005_05.pdf, page visited october 15th, 2009]
Beaulieu-Prévost, D. Professional web site: Statistical resources, [Online].
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