A Hybrid Approach to Analyzing Factors Influencing International Student Retention in Turkish Higher Education: Integrating Fuzzy DEMATEL, Machine Learning, and Statistical Methods

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dc.authorscopusidSerra Begüm Usta Ergün / 59547693600
dc.contributor.authorUsta Ergün, Serra Begüm
dc.date.accessioned2025-04-17T08:20:17Z
dc.date.available2025-04-17T08:20:17Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi
dc.description.abstractRetention of international students poses a significant challenge for higher education institutions due to its social and economic consequences. This research investigates the connections between important variables, including intention to leave, integration commitment, educational commitment, student satisfaction, and challenges faced. A comprehensive model was utilized to examine how these factors influence retention, with a specific focus on the impact of demographic factors. Data was gathered from 2,736 international students enrolled in universities in Turkey and analyzed using IBM SPSS 26 and R software. The findings reveal that the intention to leave exhibits a negative correlation with integration commitment, educational commitment, and satisfaction, while showing a positive association with encountered difficulties. Furthermore, demographic factors such as language skills, quality of life, and family support play a significant role in influencing retention. The results of the hypothesis testing were further substantiated through the use of the fuzzy DEMATEL method, reinforcing the connections among the key variables. The outcomes indicate that the choice to leave is a complex, multifactorial issue, significantly influenced by both personal and institutional factors. As a result, it is essential to develop strategies that assist international students in their academic, cultural, and social environments to improve retention. © 2025, Research Expansion Alliance (REA). All rights reserved.
dc.identifier.citationErgun, U., & Begum, S. (2025). A hybrid approach to analyzing factors influencing international student retention in Turkish higher education: integrating fuzzy DEMATEL, machine learning, and statistical methods. Journal of Fuzzy Extension and Applications, 6(2), 233-259.
dc.identifier.doi10.22105/jfea.2024.484077.1668
dc.identifier.endpage259
dc.identifier.issn27831442
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85217207703
dc.identifier.scopusqualityQ1
dc.identifier.startpage233
dc.identifier.urihttp://dx.doi.org/10.22105/jfea.2024.484077.1668
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6159
dc.identifier.volume6
dc.indekslendigikaynakScopus
dc.institutionauthorUsta Ergün, Serra Begüm
dc.institutionauthoridSerra Begüm Usta Ergün / 0009-0001-9301-9389
dc.language.isoen
dc.publisherResearch Expansion Alliance (REA)
dc.relation.ispartofJournal of Fuzzy Extension and Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFuzzy DEMATEL
dc.subjectInternational Student Retention
dc.subjectRegression Analysis
dc.subjectStudent Satisfaction
dc.titleA Hybrid Approach to Analyzing Factors Influencing International Student Retention in Turkish Higher Education: Integrating Fuzzy DEMATEL, Machine Learning, and Statistical Methods
dc.typeArticle

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