English

Abstract

The aim of this research is to determine classification in which level of accuracy in Turkish universities rankings is detected by international assessments according to independent variables students ratio, number of students per faculty member and scores. The data of research were obtained from University Ranking by Academic Performance (URAP) in Turkey. The data were divided into three groups to international university ranking top 500 (group A), 500 to 1000 (group B), and 1000 and 1500 (group C). Discriminant analysis was used to analyze data. According to findings of study PhD students’ ratio is variable to distinguish groups of universities who have contributed most variable. Then article score and last the number of students per faculty member” are seen. Classification results are analyzed, a total of 10 universities in A group, 9 (90%), a total of 15 universities in B group, 10 (66.7%) and, finally, a total of 26 universities in C group and 19 (73.1%) were classified correctly. The total percentage of correct classification of discriminant function is 74.5%. Classification accuracy of discriminant analysis is higher than chance criterion (33 %). In other words, function obtained from research makes a more accurate classification than change classification. Key words: University ranking, Turkish higher education, students’ ratio, scores, discriminant analysis.