The Use of Factor Analysis and Cluster Analysis Methods to Identify the Most Crucial Key Factors Influencing the Psychological Stability of University Students

Authors

  • Rebaz O. Yahya Department of Business Administration, Cihan University-Erbil, Kurdistan Region, Iraq.
  • Nozad H. Mahmood Department of Business Administration, Cihan University Sulaimaniya, Sulaimaniya, 46001, Kurdistan Region, Iraq.
  • Dler H. Kadir Department of Statistics, College of Administration and Economics, Salahaddin University-Erbil, Kurdistan Region - F.R. Iraq.
  • Saya J. Aziz Department of Business Administration, Cihan University Sulaimaniya, Sulaimaniya, 46001, Kurdistan Region, Iraq.

DOI:

https://doi.org/10.25156/ptjhss.v4n1y2023.pp779-789

Keywords:

Psychological Stability, Factor Analysis, Cluster Analysis, Eigen Values, University Students.

Abstract

Abstract-This research aimed to use factor analysis and cluster analysis approaches to evaluate the crucial components influencing the psychological stability of students at Salahaddin University-Erbil. To obtain our data, we selected a sample size of 149 students and surveyed them with twenty-two items about their psychological stability. According to the findings of both methods, six common factors or clusters influence the psychological stability of students labeled (Anxiety, Satisfaction, Relationship, Health, Simplicity, and Participation). Furthermore, according to the results of both methods, the first factor and the first cluster, anxiety, have the most significant effect on the psychological stability of university students compared to the other variables. Consequently, it is suggested that universities should emphasize the psychological stability of students and provide training courses for academic staff by educational and psychological experts so that they can treat the students better and understand their psychological instability situations.

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References

REFERENCES

Beiter, R., Nash, R., McCrady, M., Rhoades, D., Linscomb, M., Clarahan, M., & Sammut, S. (2015). The prevalence and correlates of depression, anxiety, and stress in a sample of college students. Journal of affective disorders, 173, 90-96.

Birdawod, H. Q. (2022). Using Factor Analysis to Determine the Most Important Factors Affecting Student Absenteeism at Cihan University-Erbil. Cihan University-Erbil Scientific Journal, 6(2), 1-8.

Bisson, K. H. (2017). The effect of anxiety and depression on college students’ academic performance: Exploring social support as a moderator.

Brook, C. A., & Willoughby, T. (2015). The social ties that bind: Social anxiety and academic achievement across the university years. Journal of Youth and Adolescence, 44(5), 1139-1152.

Dusselier, L., Dunn, B., Wang, Y., Shelley iI, M. C., & Whalen, D. F. (2005). Personal, health, academic, and environmental predictors of stress for residence hall students. Journal of American college health, 54(1), 15-24.

Dyrbye, L. N., Thomas, M. R., & Shanafelt, T. D. (2006). Systematic review of depression, anxiety, and other indicators of psychological distress among US and Canadian medical students. Academic medicine, 81(4), 354-373.

Goguen, L. M. S., Hiester, M. A., & Nordstrom, A. H. (2010). Associations among peer relationships, academic achievement, and persistence in college. Journal of College Student Retention: Research, Theory & Practice, 12(3), 319-337.

Hartley, M. T. (2011). Examining the relationships between resilience, mental health, and academic persistence in undergraduate college students. Journal of American college health, 59(7), 596-604.

Holliday, R., Anderson, E., Williams, R., Bird, J., Matlock, A., Ali, S., . . . Surís, A. (2016). A pilot examination of differences in college adjustment stressors and depression and anxiety symptoms between White, Hispanic and White, non-Hispanic female college students. Journal of Hispanic Higher Education, 15(3), 277-288.

Kadir, D. H., & Omer, A. W. (2021). Implementing Analysis of Ordinal Regression Model on Student’s Feedback Response. Cihan University-Erbil Journal of Humanities and Social Sciences, 5(1), 45-49.

Mahmood, N. H., Kadir, D. H., & Birdawod, H. Q. (2022). The Full Factorial Design Approach to Determine the Attitude of University Lecturers towards e-Learning and Online Teaching due to the COVID-19 Pandemic. Cihan University-Erbil Scientific Journal, 6(1), 20-25.

Mahmood, N. H., Murad, S. H., & Kakamad, K. K. (2018). Ordinal Logistic Regression for Students Academic Performance in Kurdistan Region of Iraq. Information Management and Business Review, 10(2), 17-22.

Pedrelli, P., Nyer, M., Yeung, A., Zulauf, C., & Wilens, T. (2015). College students: mental health problems and treatment considerations. Academic psychiatry, 39(5), 503-511.

Swenson, L. M., Nordstrom, A., & Hiester, M. (2008). The role of peer relationships in adjustment to college. Journal of College Student Development, 49(6), 551-567.

Vaingankar, J. A., Rekhi, G., Subramaniam, M., Abdin, E., & Chong, S. A. (2013). Age of onset of life-time mental disorders and treatment contact. Social psychiatry and psychiatric epidemiology, 48(5), 835-843.

Woolf, K., Potts, H. W., Patel, S., & MCManus, I. C. (2012). The hidden medical school: a longitudinal study of how social networks form, and how they relate to academic performance. Medical teacher, 34(7), 577-586.

Published

2023-05-08

How to Cite

Yahya, R. O. ., Mahmood , N. H. ., Kadir, D. H. . ., & Aziz, S. J. . (2023). The Use of Factor Analysis and Cluster Analysis Methods to Identify the Most Crucial Key Factors Influencing the Psychological Stability of University Students. Polytechnic Journal of Humanities and Social Sciences, 4(1), 779-789. https://doi.org/10.25156/ptjhss.v4n1y2023.pp779-789

Issue

Section

Research Articles