Factorial structure of the perceived stress scale and implications for scoring |
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Affiliation: | 1. Department of Computer Science & Engineering, Washington University in St. Louis, St Louis, MO, USA;2. Department of Computer Science, Knox College, Galesburg, IL, USA;3. Sandia National Laboratories, Albuquerque, NM, USA;2. Department of Family & Community Medicine, University of California, San Francisco, 500 Parnassus Ave, MUE3, San Francisco, CA, USA 94143;3. Ibis Reproductive Health, 1330 Broadway St, Suite 1100, Oakland, CA, USA 94612;4. Department of Sociology and Institute for Social Research, University of Michigan, Ann Arbor, 500 S State Street, Ann Arbor, MI, USA 48109 |
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Abstract: | IntroductionThe 10-item Perceived Stress Scale (PSS-10) is a brief, widely-used measure of perceived stressful experiences that evaluates the degree to which people perceive their lives as unpredictable, uncontrollable or overloaded.ObjectiveThe present study examined the factor structure of the Greek version of the PSS-10.MethodUsing a representative sample of 320 adults from Cyprus, alternative confirmatory factor analytic models were compared to specifically assess bidimensional versus unidimensional specifications for the scale.ResultsA bifactor model with a general factor which loads on all items and a specific one which loads on positively-worded items that capture the notion of self-efficacy to deal with stressful situations, was found to fit well to the data, while providing evidence of a robust latent factor of general distress. Reliability and construct validity evidence with multiple criterion variables were also examined.ConclusionsAlthough a simple unidimensional specification has not been empirically supported in previous research, bifactor modeling exemplifies the extent of multidimensionality and implies that a single score may be reliably used for practical purposes. |
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Keywords: | Perceived stress Coping Confirmatory factor analysis Bifactor model Dimensionality Stress perçu Coping Analyse factorielle confirmatoire Modèle bifactoriel Dimensionnalité |
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