Determining Factors for the Diagnosis of Multidimensional Depression and Its Representation: A Composite Indicator Based on Linear Discriminant Analysis

Determining Factors for the Diagnosis of Multidimensional Depression and Its Representation: A Composite Indicator Based on Linear Discriminant Analysis

This study proposes a novel approach to constructing composite indicators, utilizing discriminant analysis to identify the determining factors for the diagnosis of multidimensional depression and to provide an index that represents the multidimensionality of this construct. By focusing solely on fac...

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Bibliographic Details
Main Authors: Matheus Pereira Libório, Angélica C. G. Santos, Marcos Flávio Silveira Vasconcelos D’angelo, Hasheem Mannan, Cristiane Neri Nobre, Ariane Carla Barbosa da Silva, Petr Iakovlevitch Ekel, Allysson Steve Mota Lacerda
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
multidimensional problems
multivariate statistics
mental health
multidimensional depression diagnostic index
Online Access:https://www.mdpi.com/2076-3417/15/15/8275
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