Resumen
Objective: The National Self-Reported Well-being Survey (BIARE) was designed to assess well-being in mexican population, considering well-being of a society as a multidimensional construct (objective and subjective components). However, the structure and relationship between modules (sub-scales) to explain mexican well-being has not been explored yet. Thus, this study aims to explore the structure and relationship among those sub-scales based on the BIARE survey 2012 (INEGI, 2012) through structural modeling. Method: BIARE, Secondary data analysis, which is random and representative of Mexican people was conducted; 10.654 citizens, who were between 18 and 70 years were sampled; 5.967 women and 4.687 men. Results: As a result, three models were found. In a first model, the latent variable related to general well-being associated with empirical variables such as: solvency, happiness, satisfaction and self-determination were considered. In a second model, two latent variables are proposed: 1) Perceived well-being, associated with three empirical variables as follows: a) life Satisfaction b) Self-determination and c) Happiness; 2) Socio-culture, also related to three empirical variables, which are: a) Selflessness, b) Cultivated relationships and c) Virtual relationships. A third model of trajectories for latent variables showed adjustments that explain relations among variable Happiness with Solvency, Satisfaction and Self-determination. Conclusions: The information that can be obtained from BIARE questionnaire is relevant to evaluate citizens´s perception and immediate environment, like family. But it does not allow for an accurate assessment about contribution of meso and macro-social factors on mexican´s well-being. It is necessary that BIARE integrate a multidimensional model of well-being.
Título traducido de la contribución | BIARE survey 2012: subjective analysis related to mexican people well-being and structural modeling |
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Idioma original | Español |
Publicación | Psicogente |
Volumen | 22 |
N.º | 41 |
DOI | |
Estado | Publicada - 1 ene. 2019 |
Nota bibliográfica
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Palabras clave
- Well-being
- psychosocial factors
- quality of life
- structural modeling