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Este estudio presenta un nuevo coeficiente de fiabilidad, kappa (κ), para diseños de un solo sujeto que analizan observaciones repetidas. Esto mejora la fiabilidad de la medición para la variabilidad intraindividual, crucial para el análisis de datos dependientes del tiempo.

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omega de McDonaldModelo de espacio de estadosdatos longitudinales intensivosfiabilidadseries temporales

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Área de la Ciencia:

  • Psicometría
  • Estadística
  • Ciencia Conductual

Sus antecedentes:

  • La fiabilidad es una piedra angular de la medición en análisis grupales de un solo punto en el tiempo.
  • Este aspecto crítico de la medición a menudo se descuida en el análisis de observaciones repetidas.
  • Tradicionalmente, la fiabilidad se ha conceptualizado como un atributo entre sujetos.

Objetivo del estudio:

  • Rediseñar el concepto de fiabilidad para diseños intraindividuales de un solo sujeto.
  • Proponer un coeficiente novedoso, kappa (κ), para evaluar la fiabilidad en datos de series temporales de un solo sujeto.
  • Extender la aplicación de la evaluación de la fiabilidad a la variabilidad intraindividual dependiente del tiempo.

Principales métodos:

  • Desarrollo de un nuevo coeficiente de fiabilidad, kappa (κ), para diseños de un solo sujeto.
  • Utilización de modelos de series temporales de variables latentes, específicamente modelos de espacio de estados.
  • Extensión a modelos de espacio de estados multisujeto que acomodan la variación individual continua o discreta.
  • Derivación y prueba analítica de kappa (κ) y su relación con los coeficientes de fiabilidad existentes.

Principales resultados:

  • Introducción de kappa (κ), un nuevo coeficiente para la fiabilidad intraindividual en diseños de un solo sujeto.
  • Demostración de que kappa (κ) aplica la definición general de fiabilidad (varianza de la puntuación verdadera sobre la varianza total) a la variabilidad intraindividual dependiente del tiempo.
  • Establecimiento de la base del coeficiente en la modelización de espacio de estados para datos de series temporales.

Conclusiones:

  • El coeficiente kappa (κ) propuesto proporciona una medida robusta de fiabilidad para datos intraindividuales y dependientes del tiempo.
  • Este trabajo extiende los principios psicométricos a la investigación de un solo sujeto, abordando una brecha en la evaluación de la fiabilidad para medidas repetidas.
  • Los hallazgos ofrecen una nueva herramienta para los investigadores que analizan procesos intraindividuales complejos a lo largo del tiempo.