Data Analysis Techniques for Examining Factors Influencing Student’s Enrollment Decision
Data Analysis Techniques for Examining Factors Influencing Student’s Enrollment Decision

Summary/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).

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