Internal Structure Analysis of the Major Depression Inventory (MDI)

The objective of the study was to evaluate the psychometric qualities of the Major Depression Inventory (MDI). The MDI was applied to 714 university students and 12 people diagnosed with depression. Internal structure analyses were performed using TCT and IRT, as well as reliability, sensitivity, an...

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Detalles Bibliográficos
Autores: Baptista, Makilim Nunes, Cremasco, Gabriela da Silva, Cunha, Felipe Cunha Augusto, Marcon, Samira Reschetti, Santos, Hugo Gedeon Barros dos
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Brasil
Institución:Universidade Presbiteriana Mackenzie (UPM)
Repositorio:Psicologia (Universidade Presbiteriana Mackenzie. Online)
Idioma:portugués
OAI Identifier:oai:ojs.editorarevistas.mackenzie.br:article/12178
Acceso en línea:http://editorarevistas.mackenzie.br/index.php/ptp/article/view/12178
Access Level:acceso abierto
Palabra clave:sintomatologia depressiva
estudantes universitários
propriedades psicométricas
TRI
depressão
sintomatología depressiva
estudiantes universitarios
propiedades psicométricas
depresión
depressive symptomatology
college students
psychometric properties
IRT
depression
Descripción
Sumario:The objective of the study was to evaluate the psychometric qualities of the Major Depression Inventory (MDI). The MDI was applied to 714 university students and 12 people diagnosed with depression. Internal structure analyses were performed using TCT and IRT, as well as reliability, sensitivity, and specificity. The one-dimensional solution was the most coherent theoretically and the parameters via suitable TCT, with a reliability of 0.89. Already, via IRT, not all appropriate parameters were respected, such as infit and outfit indexes, as well as categories of non-discriminative responses. Accuracy indexes also showed limitations, especially concerning false negatives (specificity of 63.9). Thus, it is suggested to perform new studies analyzing the data via IRT, as well as a larger clinical group, diagnosed with a standard structured interview.