Abstract
The present research has aimed to extend the previous research on the structure of subjective well-being (SWB) by applying the bifactor model. The Satisfaction with Life Scale (SWLS) and the Positive and Negative Affect Schedule (PANAS) were administered to two large samples of Serbian young adults (N1=1669, N2=1522). The bifactor model of SWB with one general and three specific factors (life satisfaction, positive affect, and negative affect) provided the best fit to the data and outperformed the original three-factor model and the higher-factor model in both samples. The results supported the multidimensional nature of SWB, with a strong general factor underlying the SWLS and PANAS. Bifactor modeling has shown that SWLS and PANAS reflect both common and specific variance in SWB, with about half of the reliable variance in life satisfaction, positive affect, and negative affect being independent of the general factor. The present findings imply that researchers should be careful when interpreting SWLS and PANAS scores and that general SWB factor should be taken into account. Implications for scale scoring and interpretation, and theoretical conceptualization of SWB are discussed.
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