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                <text>Agricultura sostenible</text>
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                <text>Dominio científico: Agricultura sostenible</text>
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          <name>Title</name>
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              <text>Which statistics should tropical biologists learn?</text>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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              <text>María Isabel González Lutz, Julián Monge-Nájera, Natalia Loaiza Velásquez</text>
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              <text>Tropical biologists study the richest and most endangered biodiversity in the planet, and in these times of climate change and mega-extinctions, the need for efficient, good quality research is more pressing than in the past. However, the statistical component in research published by tropical authors sometimes suffers from poor quality in data collection; mediocre or bad experimental design and a rigid and outdated view of data analysis. To suggest improvements in their statistical education, we listed all the statistical tests and other quantitative analyses used in two leading tropical journals, the Revista de Biología Tropical and Biotropica, during a year. The 12 most frequent tests in the articles were: Analysis of Variance (ANOVA), Chi-Square Test, Student&amp;#8217;s T Test, Linear Regression, Pearson&amp;#8217;s Correlation Coefficient, Mann-Whitney U Test, Kruskal-Wallis Test, Shannon&amp;#8217;s Diversity Index, Tukey&amp;#8217;s Test, Cluster Analysis, Spearman&amp;#8217;s Rank Correlation Test and Principal Component Analysis. We conclude that statistical education for tropical biologists must abandon the old syllabus based on the mathematical side of statistics and concentrate on the correct selection of these and other procedures and tests, on their biological interpretation and on the use of reliable and friendly freeware. We think that their time will be better spent understanding and protecting tropical ecosystems than trying to learn the mathematical foundations of statistics: in most cases, a well designed one-semester course should be enough for their basic requirements. Rev. Biol. Trop. 59 (3): 983-992. Epub 2011 September 01.Los biólogos tropicales estudian la biodiversidad más rica y amenazada del planeta, y en estos tiempos de cambio climático y mega-extinción, la necesidad de investigación de buena calidad es más acuciante que en el pasado. Sin embargo, el componente estadístico en la investigación publicada por los autores tropicales adolece a veces de baja calidad en la toma de datos, mal diseño experimental y una visión anticuada del análisis de datos. Para sugerir mejoras en la enseñanza de la estadística, hicimos una lista de todas las pruebas estadísticas y otros análisis cuantitativos aplicados en dos de las principales revistas tropicales, la Revista de Biología Tropical y Biotropica, durante un año. Las 12 pruebas más frecuentes en los artículos fueron: Análisis de Varianza (ANDEVA), Chi-cuadrado, t de Student, Regresión lineal, Coeficiente de Correlación de Pearson, U de Mann-Whitney, Kruskal-Wallis, Índice de diversidad de Shannon, Prueba de Tukey, Análisis de Conclomerados, Correlación de Spearman y Análisis de Componentes Principales. Concluimos que la enseñanza de la estadística para los biólogos tropicales debe abandonar el viejo plan de estudios basado en el lado matemático de la estadística y concentrarse en (1) la correcta selección de estos y otros procedimientos y pruebas, (2) su interpretación biológica y (3) la utilización de programas de fácil uso. En la mayoría de los casos, un curso bien diseñado de un semestre bastaría para sus necesidades básicas.</text>
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              <text>2011</text>
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              <text>cursos de estadística, educación de biólogos tropicales, education of tropical biologists, free statistics software, revistas de biología tropical, software libre para estadística, statistical courses, tropical biology journals</text>
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              <text>Revista de Biología Tropical</text>
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              <text>Vicerractoría Investigación</text>
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              <text>Biology (General)</text>
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              <text>&lt;a href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;amp;pid=S0034-77442011000300001" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;amp;pid=S0034-77442011000300001&lt;/a&gt;</text>
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