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Data Analysis Techniques For Examining Factors Influencing Student’S Enrollment Decision

Author

Listed:
  • Ionela MANIU

    (“Lucian Blaga” University of Sibiu)

  • George C. MANIU

    (“Lucian Blaga” University of Sibiu)

Abstract

This research was conducted to explore the data analysis techniques applied for analysis of factors which have significant impact on the student’s attitude behind enrollment decision. Data on which such techniques are applied are collected from first year students or last year high school pupils via survey. The results have shown that the most used data analysis techniques are: descriptive statistics, comparing means techniques, correlation, regression, ANOVA, factor analysis, Cronbach alpha. Findings of this study are likely to worn and help higher education institutions to increase institutional knowledge about student’s enrollment decision by results obtained from the application of these techniques, and can be relied to provide a solid base for action (policy and practice development).

Suggested Citation

  • Ionela MANIU & George C. MANIU, 2015. "Data Analysis Techniques For Examining Factors Influencing Student’S Enrollment Decision," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 8, pages 61-64, June.
    • Handle: RePEc:cmj:seapas:y:2015:i:8:p:61-64
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    More about this item

    Keywords

    Data analysis techniques; Student’s enrolment decision; Influence factors;
    All these keywords.

    JEL classification:

    • I29 - Health, Education, and Welfare - - Education - - - Other

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