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Psychometric evaluation and normative data of the Swedish version of the 10‐item perceived stress scale
Author(s) -
Nordin Maria,
Nordin Steven
Publication year - 2013
Publication title -
scandinavian journal of psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 72
eISSN - 1467-9450
pISSN - 0036-5564
DOI - 10.1111/sjop.12071
Subject(s) - cronbach's alpha , psychology , normative , construct validity , anxiety , clinical psychology , perceived stress scale , burnout , scale (ratio) , reliability (semiconductor) , psychometrics , concurrent validity , psychiatry , stress (linguistics) , internal consistency , philosophy , linguistics , physics , power (physics) , epistemology , quantum mechanics
The perceived stress scale ( PSS ) has been translated to several languages and validated in many cultures. The longer 14‐item version ( PSS ‐14), has been translated to Swedish and validated for Swedish use. However, the Swedish version of the shorter 10‐item version ( PSS ‐10) has not been validated before. Therefore, the aim of this study was to evaluate the Swedish version of the PSS ‐10 with regard to reliability and validity, and to provide normative data. Data from 3,406 individuals who took part in the Västerbotten Environmental Health Study in Sweden were used. The respondents constitute a random sample, aged 18 to 79 years, and stratified for age and sex. They responded to the Swedish version of the PSS ‐10 as well as to the hospital anxiety and depression scale, and the Shirom Melamed burnout questionnaire for assessment of construct validity. The results show that the PSS ‐10 provides approximately normally distributed data, has good internal reliability (Cronbach's alpha 0.84), and has good construct validity with anxiety ( r  =   0.68), depression ( r  =   0.57), and mental/physical exhaustion ( r  =   0.71). The favorable psychometric properties of the Swedish version of the PSS ‐10 suggest use of the instrument for assessing perceived stress in Swedish and similar populations.

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