Psychometric networks and their implications for the treatment and diagnosis of psychopathologies
Descripción del Articulo
In this chapter, we present the main methodological principles of psychological networks as a way of conceptualizing mental disorders. In the network approach, mental disorders are conceptualized as the consequence of direct interactions between symptoms, which may involve biological, psychological,...
| Autores: | , , , |
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| Formato: | capítulo de libro |
| Fecha de Publicación: | 2022 |
| Institución: | Universidad Cesar Vallejo |
| Repositorio: | UCV-Institucional |
| Lenguaje: | español |
| OAI Identifier: | oai:repositorio.ucv.edu.pe:20.500.12692/104629 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12692/104629 http://dx.doi.org/10.5772/intechopen.105404 |
| Nivel de acceso: | acceso abierto |
| Materia: | Psicopatología Psicometría Teoría de grafos Análisis de redes Neuropsicología https://purl.org/pe-repo/ocde/ford#3.00.00 |
| Sumario: | In this chapter, we present the main methodological principles of psychological networks as a way of conceptualizing mental disorders. In the network approach, mental disorders are conceptualized as the consequence of direct interactions between symptoms, which may involve biological, psychological, and social mechanisms. If these cause-and-effect relationships are strong enough, symptoms can generate a degree of feedback to sustain them. It is discussed how such an approach contrasts with the traditional psychometric approach, known as the Latent Variable Theory, which assumes that disorders are constructs that exist but are not directly observable. Furthermore, it is also discussed how new neuropsychological hypotheses have been derived in the network approach and how such hypotheses generate direct implications for the understanding of diagnosis and treatment of psychological disorders. Finally, the recentness of the network approach in psychology and how future studies can establish its robustness are discussed. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).