Application of Logistic Regression in the Study of Students’ Performance Level (Case Study of Vlora University)
AbstractThe problem with the students’ performance level in the first year of studies has been subject of many other similar studies. We have used the opportunity that binary logistic regression model offers. In this study, took part around 240 freshmen. The data were obtained from the analysis of the questionnaires. The analysis was conducted based on variables such as gender, environment where they live, type of private or public school, school location, points taken in high school, the mode of perception of the social environment. This paper deals with the presentation and analysis of the results of the examination of students’ performance from University of Vlore by also establishing a more general assessment. It is assumed that students' results are affected by gender, type of private or public school, their location etc. The approach via logistic regression is done to study the results of the students after the first semester according to the variables mentioned above. The analysis consists of an examination of the impact of these independent factors in the performance of students in the first year of study.
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