Palabras clave
estadísticas científicas
análisis comparativos
investigador
evaluation methods
scientific statistics
comparative analysis
research workers
Cómo citar
Resumen
El Sistema Nacional de Investigadores de México (SNI) evalúa, selecciona y reconoce, mediante un estímulo económico, el capital humano nacional que realiza investigación de calidad. Esta logística puede ser considerada como una selección de proyectos, la cual conlleva, obligatoriamente, a la elección de capital humano especializado. En este artículo se utiliza la técnica de análisis y agrupamiento de datos conocida como clustering (k Means) para profundizar sobre los criterios seguidos por el SNI en cuanto a dicha elección de investigadores. Una vez que se conoce el perfil productivo de cada nombramiento definido por el SNI, y a través de la distancia de Hamming, se realiza un análisis comparativo entre los datos estimados y reales asociados a cada nombramiento. Las estimaciones permitieron concluir que no se justifica la actual clasificación en cuatro agrupaciones (nombramientos), tal vez ello se deba a que los evaluadores del SNI utilizan información no recolectada en las variables reportadas por las solicitudes. Además, se demuestra la necesidad de mejorar la información estadística utilizada como base de datos para la evaluación; se señalan las diferencias en las clasificaciones estimadas para las siete áreas del conocimiento definidas por el SNI y se recomiendan algunos de los resultados para complementar las evaluaciones por pares, realizadas actualmente, siempre que se mejore la cantidad y calidad de la información disponible. Sin duda, ello debe de servir para hacer más eficiente la futura selección de proyectos de investigación y desarrollo concernientes a un programa de la política pública de investigación en México.Citas
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