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Reconceptualización de la fiabilidad de la puntuación a través de la similitud lingüística

Ji Yoon Jung1, Ummugul Bezirhan1, Matthias von Davier1

  • 1Boston College, Chestnut Hill, MA, USA.

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Este estudio presenta la Auditoría de Fiabilidad Integrada Lingüísticamente (LiRA), un nuevo método para evaluar la fiabilidad de la puntuación en evaluaciones a gran escala. LiRA mejora la estimación de la fiabilidad en conjuntos de datos multilingües, ofreciendo resultados más completos que los métodos tradicionales.

Palabras clave:
ILSAsconsistencia de puntuación transfronterizafiabilidad de puntuaciónsimilitud semánticavotación mayoritaria ponderada

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Área de la Ciencia:

  • Medición Educativa
  • Psicometría
  • Lingüística Computacional

Sus antecedentes:

  • La fiabilidad tradicional de la puntuación transfronteriza en evaluaciones a gran escala se basa en la doble puntuación, a menudo con muestras multilingües limitadas.
  • Los métodos existentes enfrentan desafíos para estimar eficientemente la fiabilidad en diversos conjuntos de datos lingüísticos.

Objetivo del estudio:

  • Introducir la Auditoría de Fiabilidad Integrada Lingüísticamente (LiRA), un método novedoso para la estimación integral de la fiabilidad de la puntuación.
  • Extender el análisis de fiabilidad a conjuntos de datos completos en contextos de evaluación multilingües a gran escala.

Principales métodos:

  • LiRA genera automáticamente una segunda puntuación para cada respuesta analizando la alineación semántica dentro de respuestas similares.
  • Un mecanismo de votación mayoritaria ponderada determina una puntuación de consenso, garantizando una medición robusta de la fiabilidad.
  • El método está diseñado para su aplicación a conjuntos de datos completos, acomodando respuestas multilingües.

Principales resultados:

  • LiRA proporciona una estimación más completa y sistemática de la fiabilidad de la puntuación.
  • La fiabilidad se evalúa eficazmente a nivel de ítem, país e idioma.
  • El método conserva los principios fundamentales de la estimación de fiabilidad tradicional.

Conclusiones:

  • LiRA ofrece un enfoque avanzado y escalable para la fiabilidad de la puntuación en evaluaciones internacionales.
  • El método mejora la evaluación sistemática de la calidad de la puntuación en diversos contextos lingüísticos.
  • LiRA representa un avance significativo en el análisis psicométrico de datos educativos multilingües.