بيانات النشر: Linköpings universitet, Psykologi
Linköpings universitet, Filosofiska fakulteten
Univ Gothenburg, Sweden; Int Network Well Being, Promot Hlth & Innovat PHI Lab, Linkoping, Sweden; Univ Gothenburg, Sweden; Lund Univ, Sweden
Yale Univ, CT USA; VA Connecticut Healthcare Syst, CT USA; Int Network Well Being, CT USA
Iran Univ Med Sci, Iran; Iran Univ Med Sci, Iran; Norwegian Univ Sci & Technol, Norway; Texas Tech Univ, TX 79409 USA; Shahid Beheshti Univ, Iran
FRONTIERS MEDIA SA
نبذة مختصرة : BackgroundPsychological wellbeing is conceptualized as the full engagement and optimal performance in existential challenges of life. Our understanding of psychological wellbeing is important for us humans to survive, adapt, and thrive during the challenges of the 21st century. Hence, the measurement of psychological wellbeing is one cornerstone for the identification and treatment of both mental illness and health promotion. In this context, Ryff operationalized psychological wellbeing as a six-dimensional model of human characteristics: self-acceptance, positive relations with others, environmental mastery, personal growth, autonomy, and purpose in life. Ryffs Psychological Wellbeing Scale has been developed and translated into different versions. Here, we examine and describe the psychometric properties of the 18-item Swedish version of Ryffs Psychological Wellbeing Scale using both Classical Test Theory (CTT) and Item Response Theory (IRT).MethodsThe data used in the present study was earlier published elsewhere and consists of 768 participants (279 women and 489 men). In addition to the 18-item version of the scale, participants answered the Temporal Satisfaction with Life Scale, the Positive Affect Negative Affect Schedule, and the Background and Health Questionnaire. We examined, the 18-item versions factor structure using different models and its relationship with subjective wellbeing, sociodemographic factors (e.g., education level, gender, age), lifestyle habits (i.e., smoking, frequency of doing exercise, and exercise intensity), and health issues (i.e., pain and sleeping problems). We also analyzed measurement invariance with regard to gender. Moreover, as an addition to the existing literature, we analyzed the properties of the 18 items using Graded Response Model (GRM).ResultsAlthough the original six-factor structure showed a good fit, both CTT and IRT indicated that a five-factor model, without the purpose in life subscale, provided a better fit. The results supported the internal consistency and ...
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