Satisfacción con la vida y sus correlatos socio-personales en adolescentes de secundarias públicos de Sonora, México

Descripción del Articulo

The objective of the study was to measure the relationship of personal variables and context with satisfaction with the life and personal well-being of school adolescents in northwestern Mexico. The design is non-experimental ex post facto of transversal type. Two samples of high-low satisfaction wi...

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Detalles Bibliográficos
Autores: Lagarda Lagarda, Angel Emigdio, Vera Noriega, José Ángel, Tánori Quintana, Jesús
Formato: artículo
Fecha de Publicación:2022
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.pucp.edu.pe:20.500.14657/193453
Enlace del recurso:https://revistas.pucp.edu.pe/index.php/psicologia/article/view/24609/23363
https://repositorio.pucp.edu.pe/index/handle/123456789/193453
https://doi.org/10.18800/psico.202201.001
Nivel de acceso:acceso abierto
Materia:Life satisfaction
Middle school students
Self-concept
Neighborhood attachment
Satisfacción con la vida
Estudiantes de secundaria
Autoconcepto
Apego al barrio
Satisfaction de la vie
Premier cycle du secondaire
Concept de soi
Attachement au quartier
Satisfação com a vida
3.º Ciclo do Ensino Básico
Autoconceito
Apego ao bairro
https://purl.org/pe-repo/ocde/ford#5.01.00
Descripción
Sumario:The objective of the study was to measure the relationship of personal variables and context with satisfaction with the life and personal well-being of school adolescents in northwestern Mexico. The design is non-experimental ex post facto of transversal type. Two samples of high-low satisfaction with life and personal well-being were compared. Discriminant analyzes and logistic regressions were performed. In the analyzes, the Local Well-being Index, the Family Self-concept and the Social Self-concept result as predictive variables of Personal Well-being, adding to the Neighborhood Attachment in the prediction of Satisfaction with Life. It is concluded that it is important to develop ecological models that include multilevel variables to explain and predict the subjective well-being.
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