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Reliability coefficients for the 10 components.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Reliability_coefficients_for_the_10_components_/28132643
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Stress and mental health problems are prominent in Canadian postsecondary populations. Experiences of stress vary widely across the country due to student differences. The Post-Secondary Student Stressors Index (PSSI) is a 46-item inventory that assesses student-specific stressors. The PSSI has previously been validated in Ontario and Canada more broadly. However, as a new scale, the PSSI requires validation across different contexts. The purpose of this study was to use the PSSI to determine the areas of stress specific to the Manitoba population, utilizing more detailed information on severity and frequency of stress. Data were drawn from a Manitoba subset of the PSSI respondents. This resulted in a sample size of 2856 students from the University of Manitoba. Each item on the PSSI-46 was transformed into a new variable representing the inclusion of the frequency and severity variables for each stressor. Principal component analysis (PCA) was used to explore relationships between the 46 items of the PSSI. Direct oblimin rotation method was used to examine fit indicators. Spearman’s rho was used to examine correlations between the revised PSSI score and those on other instruments. Cronbach’s alpha was used to determine the internal reliability. The PCA produced 10 stress components consisting of 40 items. Six items did not load onto any components and were therefore excluded from component formation. The components demonstrated strong psychometric properties and internal validity. This study utilized the PSSI measure in a novel way, both through context and statistical assessment. These components of stress may be employed in future research that assesses post-secondary student stress.
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2025-01-03
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