Examinando por Autor "Savahl, Shazly"

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    A Systematic Review of Children’s Psychological Well-Being from a Eudaimonic Perspective: a Narrative Synthesis
    (Springer Science and Business Media B.V., 2024-12) Hoosen, Phadiel; Savahl, Shazly; Adams, Sabirah; Casas, Ferran
    Understanding children’s psychological well-being (PWB) from a eudaimonic perspective is crucial given its impact on children’s overall well-being and quality of life. This perspective denotes PWB as the realisation of one’s true potential and attaining meaningful goals that lead to personal growth and fulfilment. Despite the recent increasing interest in children’s PWB, there is limited literature in this area. This may be due to the abstract nature of eudaimonic concepts, which are challenging to operationalise and measure, leading to less empirical attention. Using a systematic review, we synthesised existing empirical studies on children’s PWB from a eudaimonic perspective. We identified 32 quantitative articles, which presented in four different categories, namely validation studies, predictors and correlates of PWB, descriptive studies, and intervention studies. Most studies used Ryff’s (Journal of Personality and Social Psychology, 57, 1069–1081, 1989) theoretical model of PWB and her PWB Scale, and were conducted in high-income countries. Future research should prioritise conducting studies in diverse socio-economic and cultural contexts to ensure a comprehensive understanding of children’s PWB. By expanding geographic and socio-economic representation, and including longitudinal studies, we can develop more effective and inclusive interventions and policies that cater to the needs of children globally.
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    Considering a Bifactor Model of Children’s Subjective Well-Being Using a Multinational Sample
    (Springer Science and Business Media B.V., 2023-12) Savahl, Shazly; Casas, Ferran; Adams, Sabirah
    In the current study, we consider the viability of a bifactor model of children’s subjective well-being (SWB) by contributing to the discussion on the dimensionality of children’s SWB. We specify a general factor of SWB and four group factors (context-free cognitive life satisfaction, domain-based cognitive life satisfaction, positive affect, and negative affect) using structural equation modelling and parceling. We used data from the Children’s Worlds International Survey of Children’s Well-Being (N = 92 782). Our analysis strategy included confirmatory factor analysis and bifactor analysis. We found a good fit for the specified bifactor model, with all items loading onto a general factor and group factors. For the bifactor analysis, after controlling for the general factor, the loadings on the group factors were substantially lower, and did not meet the criteria of acceptability for bifactor indices thresholds. The common variance of the items is largely explained by the general factor; thus, the specification of the group factors cannot be justified. Further, we found an excellent fit for a model using the parceling approach. From a measurement perspective, the construct of children’s SWB can potentially be measured as a unidimensional construct. Thus, it may be feasible to report a total score for children’s SWB, as opposed to scores on the individual subscales (group factors). Applied researchers can thus confidently use SWB as a unidimensional construct or follow the parceling approach in the structural equation model context. © 2023, The Author(s).
  • No hay miniatura disponible
    Ítem
    Considering a Bifactor Model of Children’s Subjective Well-Being Using a Multinational Sample
    (Springer Science and Business Media B.V., 0023-12) Savahl, Shazly; Casas, Ferran; Adams, Sabirah
    In the current study, we consider the viability of a bifactor model of children’s subjective well-being (SWB) by contributing to the discussion on the dimensionality of children’s SWB. We specify a general factor of SWB and four group factors (context-free cognitive life satisfaction, domain-based cognitive life satisfaction, positive affect, and negative affect) using structural equation modelling and parceling. We used data from the Children’s Worlds International Survey of Children’s Well-Being (N = 92 782). Our analysis strategy included confirmatory factor analysis and bifactor analysis. We found a good fit for the specified bifactor model, with all items loading onto a general factor and group factors. For the bifactor analysis, after controlling for the general factor, the loadings on the group factors were substantially lower, and did not meet the criteria of acceptability for bifactor indices thresholds. The common variance of the items is largely explained by the general factor; thus, the specification of the group factors cannot be justified. Further, we found an excellent fit for a model using the parceling approach. From a measurement perspective, the construct of children’s SWB can potentially be measured as a unidimensional construct. Thus, it may be feasible to report a total score for children’s SWB, as opposed to scores on the individual subscales (group factors). Applied researchers can thus confidently use SWB as a unidimensional construct or follow the parceling approach in the structural equation model context. © 2023, The Author(s).