Beyond a Unidimensional Measure: Unveiling the Multidimensional Structure of the Perceived Stress Scale.

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Title: Beyond a Unidimensional Measure: Unveiling the Multidimensional Structure of the Perceived Stress Scale.
Authors: Zahra, Novina Sabila1 (AUTHOR) novinasabila@gmail.com, Faturochman, Faturochman1 (AUTHOR), Putra, Muhammad Dwirifqi Kharisma1 (AUTHOR), Wirawan, Hillman2 (AUTHOR)
Source: Measurement. Apr-Jun2026, Vol. 24 Issue 2, p177-187. 11p.
Subjects: Factor structure, Confirmatory factor analysis, Psychometrics, Perceived Stress Scale, Item response theory, Psychological stress, Stress management
Abstract: The Perceived Stress Scale (PSS-10) has been widely used by scholars and practitioners to measure an individual's perceived stress. However, its factor structure is still being challenged, with concerns regarding whether it is unidimensional or multidimensional. This study aims to evaluate the factor structure of the PSS-10. This study collected data from 675 college students (68% females) ages 18-28 (mean = 20.49, SD = 1.42). This study applied a chi-square difference test to compare the unidimensional and multidimensional models. Confirmatory Factor Analysis (CFA) and Multidimensional Graded Response Model (MGRM) were used to assess the PSS-10's factor structure and psychometric properties. The result from CFA and MGRM confirmed the two-factor structure with good reliability (ω ≥.70). In addition, MGRM showed good item discrimination and ordered threshold. The results have confirmed the multidimensionality of the PSS-10 and encouraged the use of the MGRM technique in evaluating instruments' psychometric properties. Furthermore, despite their complexity, the findings show that the two-factor model measured stress more thoroughly and accurately than the unidimensional structure. It offers significant implications for stress measures and interventions to help people manage stress and improve coping skills. [ABSTRACT FROM AUTHOR]
Copyright of Measurement is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Measurement%22">Measurement</searchLink>. Apr-Jun2026, Vol. 24 Issue 2, p177-187. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Factor+structure%22">Factor structure</searchLink><br /><searchLink fieldCode="DE" term="%22Confirmatory+factor+analysis%22">Confirmatory factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Perceived+Stress+Scale%22">Perceived Stress Scale</searchLink><br /><searchLink fieldCode="DE" term="%22Item+response+theory%22">Item response theory</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+stress%22">Psychological stress</searchLink><br /><searchLink fieldCode="DE" term="%22Stress+management%22">Stress management</searchLink>
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  Data: The Perceived Stress Scale (PSS-10) has been widely used by scholars and practitioners to measure an individual's perceived stress. However, its factor structure is still being challenged, with concerns regarding whether it is unidimensional or multidimensional. This study aims to evaluate the factor structure of the PSS-10. This study collected data from 675 college students (68% females) ages 18-28 (mean = 20.49, SD = 1.42). This study applied a chi-square difference test to compare the unidimensional and multidimensional models. Confirmatory Factor Analysis (CFA) and Multidimensional Graded Response Model (MGRM) were used to assess the PSS-10's factor structure and psychometric properties. The result from CFA and MGRM confirmed the two-factor structure with good reliability (ω ≥.70). In addition, MGRM showed good item discrimination and ordered threshold. The results have confirmed the multidimensionality of the PSS-10 and encouraged the use of the MGRM technique in evaluating instruments' psychometric properties. Furthermore, despite their complexity, the findings show that the two-factor model measured stress more thoroughly and accurately than the unidimensional structure. It offers significant implications for stress measures and interventions to help people manage stress and improve coping skills. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Measurement is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/15366367.2025.2474702
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 177
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      – SubjectFull: Factor structure
        Type: general
      – SubjectFull: Confirmatory factor analysis
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      – SubjectFull: Psychometrics
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      – SubjectFull: Perceived Stress Scale
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      – SubjectFull: Item response theory
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      – SubjectFull: Psychological stress
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      – SubjectFull: Stress management
        Type: general
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      – TitleFull: Beyond a Unidimensional Measure: Unveiling the Multidimensional Structure of the Perceived Stress Scale.
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            NameFull: Zahra, Novina Sabila
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            NameFull: Putra, Muhammad Dwirifqi Kharisma
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            – D: 01
              M: 04
              Text: Apr-Jun2026
              Type: published
              Y: 2026
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