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Coeficiente de acuerdo entre dos calificadores corregido por la prevalencia de la categoría: alternativa a kappa
1College of Education, Sultan Qaboos University.
Psychological methods
|August 21, 2025
Resumen
Este estudio introduce un nuevo coeficiente de acuerdo que da cuenta de la prevalencia de la categoría, yendo más allá de las suposiciones de azar aleatorio. Ofrece una medida más precisa de la fiabilidad interrater por abordar las limitaciones en Cohen
Área de la Ciencia:
- Las estadísticas
- Psicometría
- Ciencias del comportamiento
Sus antecedentes:
- El kappa de Cohen es una medida estadística estándar para el acuerdo interrater utilizando escalas categóricas.
- Kappa se ajusta al acuerdo del azar, pero su interpretación está limitada por suposiciones de azar.
- Las limitaciones existentes se derivan de la estimación del acuerdo casual y las posibles paradojas.
Objetivo del estudio:
- Proponer un nuevo coeficiente de acuerdo que tenga en cuenta el efecto de prevalencia-acuerdo.
- Para ir más allá de la suposición de acuerdo al azar en la fiabilidad interrater.
- Proporcionar una medida más precisa del acuerdo considerando las características de la categoría.
Principales métodos:
- Se obtiene un nuevo coeficiente de acuerdo eliminando el efecto de prevalencia de acuerdo.
- Propuso un nuevo enfoque estadístico que no asume la asignación aleatoria de calificadores.
- Se analizó la influencia de la prevalencia y las características de la categoría en el acuerdo.
Principales resultados:
- El nuevo coeficiente elimina efectivamente el efecto de acuerdo de prevalencia del acuerdo observado.
- Este enfoque revisado ofrece una comprensión más matizada de la confiabilidad interrater.
- El estudio analiza la importancia, la interpretación y la estabilidad de estimación del nuevo coeficiente.
Conclusiones:
- El efecto de prevalencia de acuerdo, no al azar, influye en el acuerdo observado.
- El coeficiente propuesto ofrece una evaluación más precisa de la fiabilidad entre los tasadores.
- Este trabajo refina los métodos estadísticos para evaluar el acuerdo en datos categóricos.
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