A reliability generalization meta-analysis of the Padua Inventory-Revised (PI-R)

  1. Rosa María Núñez-Núñez 1
  2. María Rubio-Aparicio 2
  3. Fulgencio Marín-Martínez 3
  4. Julio Sánchez-Meca 3
  5. José Antonio López-Pina 3
  6. José Antonio López-López 3
  1. 1 Universidad Miguel Hernández de Elche
    info

    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

  2. 2 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

  3. 3 Universidad de Murcia
    info

    Universidad de Murcia

    Murcia, España

    ROR https://ror.org/03p3aeb86

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Revista:
International journal of clinical and health psychology

ISSN: 1697-2600

Año de publicación: 2022

Volumen: 22

Número: 1

Páginas: 61-70

Tipo: Artículo

DOI: 10.1016/J.IJCHP.2021.100277 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: International journal of clinical and health psychology

Resumen

Antecedentes/Objetivo: El Padua Inventory-Revised (PI-R) es un instrumento ampliamente utilizado para medir los síntomas obsesivo-compulsivos en muestras clínicas y no clínicas. Llevamos a cabo un meta-análisis de generalización de la fiabilidad del PI-R. Método: Una búsqueda exhaustiva de la literatura arrojó 118 estudios empíricos que habían aplicado el PI-R, de los cuales 30 estudios (33 muestras) reportaron una estimación propia de la fiabilidad. Resultados: Asumiendo un modelo de efectos aleatorios, la fiabilidad en términos de consistencia interna promedio (alfa de Cronbach) fue de 0,92 (IC del 95% [0,91, 0,93]) para las puntuaciones totales, y osciló entre 0,74 y 0,89 para las subescalas. Asumiendo modelos de efectos mixtos, los análisis de moderadores mostraron una relación positiva estadísticamente significativa entre la desviación típica de las puntuaciones totales y los coeficientes de fiabilidad (p = 0,002; R2 = 0,38). Conclusiones: En términos de fiabilidad, se encontró que el PI-R es adecuado tanto para fines clínicos como de investigación, aunque con una alta heterogeneidad entre los estudios. Es necesario que los estudios empíricos futuros que apliquen el PI-R proporcionen al menos una estimación de la fiabilidad basada en sus propios datos.

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