Identifying key areas of post-secondary student stress: Principal component analysis of the Post-Secondary Student Stressors Index (PSSI)

识别高等教育学生压力的主要领域:高等教育学生压力源指数(PSSI)的主成分分析

阅读:1

Abstract

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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。