A discriminant function model for admission at undergraduate university level.

Autor/inn/en	Ali, Hamdi F.; Charbaji, Abdulrazzak; Hajj, Nada Kassim
Titel	A discriminant function model for admission at undergraduate university level.
Quelle	In: International review of education, (1992) 5, S.505-518Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0020-8566
DOI	10.1007/BF01100989
Schlagwörter	High School; Academic Performance; Discriminant Function; Dual Problem; High Learning
Abstract	Abstract The study is aimed at predicting objective criteria based on a statistically tested model for admitting undergraduate students to Beirut University College. The University is faced with a dual problem of having to select only a fraction of an increasing number of applicants, and of trying to minimize the number of students placed on academic probation (currently 36 percent of new admissions). Out of 659 new students, a sample of 272 students (45 percent) were selected; these were all the students on the Dean's list and on academic probation. With academic performance as the dependent variable, the model included ten independent variables and their interactions. These variables included the type of high school, the language of instruction in high school, recommendations, sex, academic average in high school, score on the English Entrance Examination, the major in high school, and whether the major was originally applied for by the student. Discriminant analysis was used to evaluate the relative weight of the independent variables, and from the analysis three equations were developed, one for each academic division in the College. The predictive power of these equations was tested by using them to classify students not in the selected sample into successful and unsuccessful ones. Applicability of the model to other institutions of higher learning is discussed.
Erfasst von	OLC
Update	2023/2/05