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Exploring the relationship between poverty dimensions and social exclusion in university students

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  • Gökdogan, Meryem
  • Erdoğan, Eylül Gülnur
  • Mazhari, Mahdıs

Abstract

This study aims to examine the correlation between the socioeconomic circumstances of university students and their experiences of social exclusion. A total of 370 undergraduate students at a Turkish university participated in this cross-sectional study. The data were collected using the Multidimensional Poverty Assessment Scale for University Students, the Social Exclusion Scale for Adolescents, and the socio-demographic characteristics data form. The data were analyzed using several statistical tests, including the independent sample t-test, one-way ANOVA, Mann-Whitney U test, Kruskal-Wallis test, Pearson regression coefficient, and multiple linear regression analysis. The multidimensional poverty and social exclusion levels of the students were found to be at a medium level. The poverty levels of students who perceived their income levels as good, who were foreigners, who had a large family structure, and who had siblings were higher. Significant differences were found between the multidimensional poverty and social exclusion scores of the students and the faculties they studied. It was observed that students have different experiences of poverty in different areas such as financial opportunities, education, international opportunities, physical opportunities, health, sociocultural life, self-expression, and communication. To deal with this situation more effectively, it is recommended that universities develop comprehensive support strategies for students at risk of poverty and organize activities to strengthen solidarity and social ties among students.

Suggested Citation

  • Gökdogan, Meryem & Erdoğan, Eylül Gülnur & Mazhari, Mahdıs, 2025. "Exploring the relationship between poverty dimensions and social exclusion in university students," Evaluation and Program Planning, Elsevier, vol. 111(C).
    • Handle: RePEc:eee:epplan:v:111:y:2025:i:c:s0149718925000746
    DOI: 10.1016/j.evalprogplan.2025.102607
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    References listed on IDEAS

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    1. Oznur Ozdamar & Eleftherios Giovanis, 2019. "Youth Multidimensional Poverty and Its Dynamics: Evidence From Selected Countries In The Mena Region," Working Papers 1339, Economic Research Forum, revised 21 Aug 2019.
    2. Frida Skog, 2019. "Sibling Effects on Adult Earnings Among Poor and Wealthy Children Evidence from Sweden," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(3), pages 917-942, June.
    3. Vladimir Ponczek & Andre Portela Souza, 2012. "New Evidence of the Causal Effect of Family Size on Child Quality in a Developing Country," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 64-106.
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