engleski

Prediction of academic performance using discriminant analysis

In this paper, discriminant analysis is used as a means of analysing the effect of 30 variables upon the dependent variable Student success at the Faculty of Organization and Informatics, University of Zagreb. The data were collected by a questionnaire administered on two occasions: in the academic year 2006/07, among second-year students of the undergraduate study programme Information and Business Systems, and in the academic year 2008/09, among third- and fourth-year students of the undergraduate study programme Information Systems. This research is aimed at determining predictor variables for student success at the Faculty of Organization and Informatics. The number of students included in the first and second questionnaire administration was 110 and 113, respectively.

Academic performance; discriminant analysis; motivation styles

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