Psicothema was founded in Asturias (northern Spain) in 1989, and is published jointly by the Psychology Faculty of the University of Oviedo and the Psychological Association of the Principality of Asturias (Colegio Oficial de Psicología del Principado de Asturias).
We currently publish four issues per year, which accounts for some 100 articles annually. We admit work from both the basic and applied research fields, and from all areas of Psychology, all manuscripts being anonymously reviewed prior to publication.
María Guillot-Valdés, Alejandro Guillén-Riquelme, and Gualberto Buela-Casal
Universidad de Granada
Background: Depression is a disorder that is highly prevalent nowadays. Within the dimensional explanatory model of depression, the State/Trait Depression Inventory was developed. Its objective is to identify the degree of affectation (state) and the frequency of occurrence (trait) of the affective component of depression. The instrument has proven reliable and comprises two factors in its structure: state and trait, with two euthymia and dysthymia subscales in each one. The objective of this meta-analysis is to find an average alpha for the questionnaire. Method: A bibliographical search was conducted on Web of Science and Scopus. Forty-five articles were selected. Results: The alpha ranges from .84 to .89 for all factorizations, and in most studies a bifactorial structure of state and trait depression was found. Conclusions: The State/Trait Depression Inventory is a reliable and suitable instrument for measuring depression.
Meta-Análisis de Generalización de la Fiabilidad de las Puntuaciones del Inventario de Depresión Estado/Rasgo. Antecedentes: la depresión es un trastorno de alta prevalencia en la actualidad. Dentro del modelo explicativo dimensional de la depresión, se desarrolló el Inventario de Depresión Estado/Rasgo, cuyo objetivo es identificar el grado de afectación (estado) y la frecuencia de ocurrencia (rasgo) del componente afectivo de la depresión. Este instrumento ha demostrado ser fiable y poseer dos factores en su estructura: estado y rasgo con dos subescalas eutimia y distimia en cada uno. El objetivo de este meta-análisis es hallar un alfa medio de las puntuaciones cuestionario. Método: se realizó una búsqueda bibliográfica en Web of Science y Scopus. Se seleccionaron 45 artículos. Resultados: el alfa oscila entre 0,84 y 0,89 para todas las factorizaciones, y en la mayoría de los estudios se halló una estructura bifactorial de depresión estado y rasgo. Conclusiones: el Inventario de Depresión Estado/Rasgo es un instrumento fiable y adecuado para medir la depresión.
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https://doi.org/10.7334/psicothema2020.106