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Determinants of Success in Graduation: An Empirical Study

Author

Listed:
  • Marius GIUCLEA

    (Bucharest University of Economic Studies)

  • Alexandru AGAPIE

    (Bucharest University of Economic Studies)

  • Luiza BĂDIN

    (Bucharest University of Economic Studies)

  • Silvia DEDU

    (Bucharest University of Economic Studies)

  • Ileana MIRCIOI (VĂLIMĂRANU)

    (Bucharest University of Economic Studies)

  • Ovidiu SOLOMON

    (Bucharest University of Economic Studies)

  • Rareș BITEȘ

    (International Computer High School of Constanța)

Abstract

One of the most concerning problems that higher education institutions are facing recently is the high dropout rate of students enrolled at all levels of study. Consequently, the dropout phenomenon and the determinants of success in completing university studies are increasingly attracting the attention of both researchers and decision makers. This paper revisits the problem of identifying the factors accountable for success in higher education and complements the aspects addressed in Agapie et al. (2020) by suggesting a basic set of measures based on Agglomerative Hierarchical Clustering (AHC).

Suggested Citation

  • Marius GIUCLEA & Alexandru AGAPIE & Luiza BĂDIN & Silvia DEDU & Ileana MIRCIOI (VĂLIMĂRANU) & Ovidiu SOLOMON & Rareș BITEȘ, 2021. "Determinants of Success in Graduation: An Empirical Study," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 22(4), pages 579-589, October.
    • Handle: RePEc:rom:rmcimn:v:22:y:2021:i:4:p:579-589
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    More about this item

    Keywords

    university dropout; principal component analysis (PCA); agglomerative hierarchical clustering (AHC).;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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