2015
DOI: 10.1016/j.paid.2015.07.026
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A bifactor model of subjective well-being: A re-examination of the structure of subjective well-being

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Cited by 48 publications
(47 citation statements)
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“…These five domains of SWB are theorized to be orthogonal to each other; for example, people who enjoy high levels of social well-being can have either high or low levels of eudaimonic well-being and hedonic well-being. Consistent with emerging evidence, this organization of SWB suggests a bifactor structure of this variable, in which a general factor of overall well-being as well as five domain-specific factors can be extracted (Chen, Bai, Lee, & Jing, 2016;de Bruin & du Plessis, 2015;Jovanovic´, 2015;Longo et al, 2016). Conceptually, such a complex representation of SWB implies that the construct can be conceptualized not only as a broad representation of people's overall psychological functioning but that it also can manifest in several domains of people's lives.…”
Section: Multidimensional Conceptualization and Measurement Of Swbsupporting
confidence: 69%
“…These five domains of SWB are theorized to be orthogonal to each other; for example, people who enjoy high levels of social well-being can have either high or low levels of eudaimonic well-being and hedonic well-being. Consistent with emerging evidence, this organization of SWB suggests a bifactor structure of this variable, in which a general factor of overall well-being as well as five domain-specific factors can be extracted (Chen, Bai, Lee, & Jing, 2016;de Bruin & du Plessis, 2015;Jovanovic´, 2015;Longo et al, 2016). Conceptually, such a complex representation of SWB implies that the construct can be conceptualized not only as a broad representation of people's overall psychological functioning but that it also can manifest in several domains of people's lives.…”
Section: Multidimensional Conceptualization and Measurement Of Swbsupporting
confidence: 69%
“…We conducted bifactor modeling to evaluate the proportion of total and common variance attributable to a general factor and specific factors (i.e., perfectionistic strivings and perfectionistic concerns), as well as to determine whether using a general factor score is justified. Thus, the present study was not merely focused on finding the model with the best fit, but also in using several indices such as omega hierarchical to provide information on the strength of the general factor, and reliability of specific factors (i.e., perfectionistic strivings and perfectionistic concerns) after controlling for variance attributable to the general factor (Jovanović, 2015).…”
Section: The Present Researchmentioning
confidence: 99%
“…Consequently, the two-factor model with correlated errors was used as the baseline model upon which the bifactor model was compared (Betts, Pickart, & Heistad, 2011;Jovanović, 2015).…”
Section: Confirmatory Factor Analysismentioning
confidence: 99%
“…Notwithstanding, the substantive interpretation of some indices of such bifactor models could be developed further, as it has been done for other measures of well-being or quality of life [ 18 , 19 ]. This has implied an underutilization of the potentials of bifactor modelling which allows for (a) studying the partitioning of variance when an instrument assesses both general and domain-specific sources of variance, (b) contrasting if the measure is “essentially unidimensional” but with nuisance dimensions, (c) judging whether multidimensional item response data have a strong enough general factor to justify a unidimensional measurement model, and (d) determining the adequacy of a total score and what, if anything, one might gain by scoring subscales [ 18 , 19 ]. These questions are pertinent to the MHC-SF since its scores are intended to measure both general and domain-specific measures.…”
Section: Introductionmentioning
confidence: 99%