A bifactor model of subjective well-being: A re-examination of the structure of subjective well-being |
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| Institution: | 1. Management and Organizational Studies, Faculty of Social Science, The University of Western Ontario, London, ON N6A 5C2, Canada;2. Department of Psychology, Faculty of Social Science, The University of Western Ontario, London, ON, Canada;3. Queensland Institute of Medical Research, Brisbane, QLD, Australia;4. Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King''s College London, London, England, United Kingdom;5. Department of Psychological Sciences, University of Missouri, Columbia MO, USA;1. School of Psychology, Southwest University, 400715 Chongqing, China;2. Center for Mental Health Education, Southwest University, 400715 Chongqing, China;3. School of Educational Science, Guizhou Normal University, 550001 Guiyang, China;1. Medical Psychological Institute, Second Xiangya Hospital, Central South University, Changsha 410011, PR China;2. National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha 410011, PR China;3. Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, PR China;4. Department of Medical Psychology, Public Health Institute of Harbin Medical University, Harbin 150000, PR China |
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| 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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