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Analyzing Factors Accountable for Success in Completing University Studies

Author

Listed:
  • Alexandru AGAPIE

    (Bucharest University of Economic Studies)

  • Luiza BĂDIN

    (Bucharest University of Economic Studies)

  • Silvia DEDU

    (Bucharest University of Economic Studies)

  • Marius GIUCLEA

    (Bucharest University of Economic Studies)

  • Ileana MIRCIOI (VĂLIMĂRANU)

    (Bucharest University of Economic Studies)

  • Ovidiu SOLOMON

    (Bucharest University of Economic Studies)

Abstract

The analysis of success in completing university studies and implicitly of student dropout rates have recently become topics of great interest for researchers and policy-makers. This may be explained by the fact that completion rates play an important role in assessing the quality of teaching which further influences potential students in choosing the higher education institution. A large number of publications investigating the success rates and dropout rates focus on institutional policies, measuring the effectiveness of specific institutional measures to improve graduation success and reduce student dropout. In this paper we analyze several factors accountable for success in higher education. We perform an exploratory factor analysis on a dataset consisting of 61 items, by using the method of extraction of principal components and subsequent Varimax rotation. The results obtained enable identifying several relevant factors accountable for success in higher education and assessing their impact on reducing the dropout rate.

Suggested Citation

  • Alexandru AGAPIE & Luiza BĂDIN & Silvia DEDU & Marius GIUCLEA & Ileana MIRCIOI (VĂLIMĂRANU) & Ovidiu SOLOMON, 2020. "Analyzing Factors Accountable for Success in Completing University Studies," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 21(3), pages 423-431, July.
    • Handle: RePEc:rom:rmcimn:v:21:y:2020:i:3:p:423-431
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    More about this item

    Keywords

    Factor analysis; principal components; higher education; student dropout.;
    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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