Background: University students are increasingly vulnerable to psychological stress, yet there remains a paucity of validated, context-sensitive tools for rapid and scalable assessment in academic settings. This study evaluates the psychometric properties and validity of the newly developed Scale for Psychological Stress (SPS-13) in a university student population. Methods: A total of 442 students (mean age = 21.4 years; 53.8% female) from Indian universities completed the SPS-13 via a digital platform. Psychometric evaluation included internal consistency (Cronbach’s alpha), exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and item-total correlations. Severity cutoffs were provisionally established using standard deviation-based stratification. Results: The SPS-13 demonstrated excellent internal consistency (α = 0.941). EFA supported a unidimensional structure (KMO = 0.958; Bartlett’s χ2 (78) = 612.3, p < 0.001), with a single factor explaining 47.6% of variance. CFA indicated excellent model fit (CFI = 0.986, RMSEA = 0.043). Mean stress score was 25.6 (SD = 6.8). Based on stratified thresholds, 76% of participants experienced stress above the normal range, and 14.3% fell in the severe category. Common symptoms included emotional overwhelm (40%), fatigue (36.6%), and disrupted sleep (26.7%), suggesting a multidimensional impact across affective, somatic, and cognitive domains. Conclusion: The SPS-13 is a reliable and valid instrument for screening psychological stress among university students. Its unidimensional structure, ease of digital administration, and clinical interpretability make it a promising tool for early identification and intervention. Future work will address convergent validity with standardized stress scales and explore longitudinal outcomes.
References
[1]
Eisenberg, D., Gollust, S.E., Golberstein, E. and Hefner, J.L. (2007) Prevalence and Correlates of Depression, Anxiety, and Suicidality among University Students. American Journal of Orthopsychiatry, 77, 534-542. https://doi.org/10.1037/0002-9432.77.4.534
[2]
Auerbach, R.P., Alonso, J., Axinn, W.G., Cuijpers, P., Ebert, D.D., Green, J.G., et al. (2016) Mental Disorders among College Students in the World Health Organization World Mental Health Surveys. Psychological Medicine, 46, 2955-2970. https://doi.org/10.1017/s0033291716001665
[3]
Lazarus, R.S. and Folkman, S. (1984) Stress, Appraisal, and Coping. Springer.
[4]
Cohen, S., Kamarck, T. and Mermelstein, R. (1983) A Global Measure of Perceived Stress. Journal of Health and Social Behavior, 24, 385-396. https://doi.org/10.2307/2136404
[5]
Zhang, P. (2021) Culturally Sensitive Assessment of Psychological Stress in Indian Students. Indian Journal of Psychological Medicine, 43, 45-50.
[6]
Deb, S., Strodl, E. and Sun, J. (2015) Academic Stress, Parental Pressure, Anxiety and Mental Health among Indian High School Students. International Journal of Psychology and Behavioral Sciences, 5, 26-34.
[7]
Kumar, S. and Bhukar, J.P. (2013) Stress Level and Coping Strategies of College Students. Journal of Physical Education and Sports Management, 4, 5-11.
[8]
Kumar, A. (2020) Rethinking Stress Assessment: Culturally Grounded Approaches for Indian Youth. Psychological Studies, 65, 203-212.
[9]
Tavakol, M. and Dennick, R. (2011) Making Sense of Cronbach's Alpha. International Journal of Medical Education, 2, 53-55. https://doi.org/10.5116/ijme.4dfb.8dfd
[10]
Streiner, D.L. and Norman, G.R. (2008) Health Measurement Scales: A Practical Guide to Their Development and Use. Oxford University Press.
[11]
Field, A. (2009) Discovering Statistics Using SPSS. 3rd Edition, Sage Publications.
[12]
Hu, L. and Bentler, P.M. (1999) Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1-55. https://doi.org/10.1080/10705519909540118
[13]
Regehr, C., Glancy, D. and Pitts, A. (2013) Interventions to Reduce Stress in University Students: A Review and Meta-Analysis. Journal of Affective Disorders, 148, 1-11. https://doi.org/10.1016/j.jad.2012.11.026
[14]
Son, C., Hegde, S., Smith, A., Wang, X. and Sasangohar, F. (2020) Effects of COVID-19 on College Students’ Mental Health in the United States. Journal of Adolescent Health, 67, 683-690.
[15]
Dusselier, L., Dunn, B., Wang, Y., Shelley II, M.C. and Whalen, D.F. (2005) Personal, Health, Academic, and Environmental Predictors of Stress for Residence Hall Students. Journal of American College Health, 54, 15-24. https://doi.org/10.3200/jach.54.1.15-24
[16]
Eisenberg, D., Hunt, J. and Speer, N. (2013) Mental Health in American Colleges and Universities: Variation across Student Subgroups and across Campuses. Journal of Nervous & Mental Disease, 201, 60-67. https://doi.org/10.1097/nmd.0b013e31827ab077
[17]
Bayram, N. and Bilgel, N. (2008) The Prevalence and Socio-Demographic Correlations of Depression, Anxiety and Stress among a Group of University Students. Social Psychiatry and Psychiatric Epidemiology, 43, 667-672. https://doi.org/10.1007/s00127-008-0345-x
[18]
Jacobson, N.S. and Truax, P. (1991) Clinical Significance: A Statistical Approach to Defining Meaningful Change in Psychotherapy Research. Journal of Consulting and Clinical Psychology, 59, 12-19. https://doi.org/10.1037/0022-006x.59.1.12
[19]
Misra, R. and McKean, M. (2000) College Students’ Academic Stress and Its Relation to Their Anxiety, Time Management, and Leisure Satisfaction. American Journal of Health Studies, 16, 41-51.
[20]
Kohn, J.P. and Frazer, G.H. (1986) An Academic Stress Scale: Identification and Rated Importance of Academic Stressors. Psychological Reports, 59, 415-426. https://doi.org/10.2466/pr0.1986.59.2.415
[21]
McEwen, B.S. (1998) Protective and Damaging Effects of Stress Mediators. New England Journal of Medicine, 338, 171-179. https://doi.org/10.1056/nejm199801153380307
[22]
Lund, H.G., Reider, B.D., Whiting, A.B. and Prichard, J.R. (2010) Sleep Patterns and Predictors of Disturbed Sleep in a Large Population of College Students. Journal of Adolescent Health, 46, 124-132. https://doi.org/10.1016/j.jadohealth.2009.06.016
[23]
Kocalevent, R., Hinz, A. and Brähler, E. (2013) Standardization of the Depression Screener Patient Health Questionnaire (PHQ-9) in the General Population. General Hospital Psychiatry, 35, 551-555. https://doi.org/10.1016/j.genhosppsych.2013.04.006
[24]
Cacioppo, J.T. and Hawkley, L.C. (2003) Social Isolation and Health, with an Emphasis on Underlying Mechanisms. Perspectives in Biology and Medicine, 46, S39-S52. https://doi.org/10.1353/pbm.2003.0063