Structure analysis of subjective well-being
Abstract Introduction There is controversy regarding the structure of subjective well-being (SWB) and the possibility of calculating a SWB total score. Objective To test and compare five models proposed for the description of SWB. Method The study was implemented with a cross-sectional, ex-post-facto design using an incidental sampling method. The Positive and Negative Experience Scale and the Satisfaction with Life Scale were applied to a sample composed of 600 students of health sciences from two universities of Nuevo Leon, Mexico. Data were analyzed through a structural equation modeling, using Maximum Likelihood and Corrected-Bias Percentile methods. Results The bifactor model comprising three specific factors, vis-à-vis the model composed of three correlated factors, had the best data fit (Δχ2/Δdf = 8.166 > 5, ΔNFI = .018, ΔNNFI = .015, and ΔCFI = .016 > .01), and all its fit indices were close; however, the specific factor related to positive affect had a poor contribution. Nevertheless, the model composed of three correlated factors had the greatest parsimony (PR = .853, PNFI = .804, PNNFI = .813, PCFI = .819, and PGFI = .706) and its three factors showed convergent validity, discriminant validity, and internal consistency reliability. Discussion and conclusion The two models with the best properties justify the use of a composite score of SWB based on the scores of positive affect, negative affect, and satisfaction with life, as well as scores for these three specific domains of content. From a psychometric perspective, the model composed of three correlated factors yielded the best result.
| Main Authors: | , , , |
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| Format: | Digital revista |
| Language: | English |
| Published: |
Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz
2020
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| Online Access: | http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0185-33252020000300119 |
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