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Dimensionality of stress experiences: Factorial structure of the Perceived Stress Questionnaire (PSQ) in a population-based Swedish sample
Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI). Umeå University, Sweden.
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Number of Authors: 6
2015 (English)In: Scandinavian Journal of Psychology, ISSN 0036-5564, E-ISSN 1467-9450, Vol. 56, no 5, 592-598 p.Article in journal (Refereed) Published
Abstract [en]

We investigated the factorial structure of the Perceived Stress Questionnaire (PSQ-recent; Levenstein, Prantera, Varvo et al., 1993) in a large (N = 1516; 35-95 years) population-based Swedish sample (Nilsson, Adolfsson, Backman et al., 2004; Nilsson, Backman, Erngrund et al., 1997). Exploratory principal components analysis (PCA) was conducted on a first, randomly drawn subsample (n = 506). Next, the model based on the PCA was tested in a second sample (n = 505). Finally, a third sample (n = 505) was used to cross-validate the model. Five components were extracted in the PCA (eigenvalue > 1) and labeled Demands, Worries/Tension, Lack of joy, Conflict, and Fatigue, respectively. Twenty-one out of the 30 original PSQ items were retained in a confirmatory factor analysis (CFA) model that included the five (first-order) factors and, additionally, a general (second-order) stress factor, not considered in prior models. The model showed reasonable goodness of fit [chi(2)(184) = 511.2, p < 0.001; CFI = 0.904; RMSEA = 0.059; and SRMR = 0.063]. Multigroup confirmatory factor analyses supported the validity of the established model. The results are discussed in relation to prior investigations of the factorial structure of the PSQ.

Place, publisher, year, edition, pages
2015. Vol. 56, no 5, 592-598 p.
Keyword [en]
Perceived stress, confirmatory factor analysis, multigroup analysis
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URN: urn:nbn:se:su:diva-123810DOI: 10.1111/sjop.12214ISI: 000364596100016PubMedID: 26096909OAI: diva2:881567
Available from: 2015-12-11 Created: 2015-12-07 Last updated: 2015-12-11Bibliographically approved

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Nilsson, Lars-Göran
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Aging Research Center (ARC), (together with KI)
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ReferencesLink to record
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