DATA ANALYSIS TECHNIQUES FOR EXAMINING FACTORS INFLUENCING STUDENT’S ENROLLMENT DECISION

Ionela Maniu and George C. Maniu
Additional contact information
Ionela Maniu: “Lucian Blaga” University of Sibiu
George C. Maniu: “Lucian Blaga” University of Sibiu

SEA - Practical Application of Science, 2015, issue 8, 61-64

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).

Keywords: Data analysis techniques; Student’s enrolment decision; Influence factors (search for similar items in EconPapers)
JEL-codes: I29 (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_8_8.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2015:i:8:p:61-64

Access Statistics for this article

SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence

More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().