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In this study, the success in the university entrance exam has been observed in regard to the number of schools in the provinces, the teachers, the graduates, the students, rate of unemployment and employment rate. Evaluation has been made by using R package Programme (pvclust library) with hierarchical clustering analysis by years. A p- value used for bootstrap sampling via multiple scaling has been calculated for each cluster in hierarchical clustering. Calculated p-value shows how clustering is supported by the available data.  The clustering analysis results which were done by using sampling methods have been obtained by 5000 bootstrap samples and the average value has been used. In the study the success of the high school students from 81 cities in the university entrance exam between the years 2010 and 2013 is assessed by using the data taken from TUIK (Turkey Statistical Institue) and OSYM (Student Selection and Placement Center). The provinces are coded according to the license plate numbers and the variables are shown on the graphics by abbreviations. As a result of the research, it is understood that the included variables have significant effect on the success in the university entrance exams. Hierarchical clustering results depicted that the provinces within Eastern Anatolia clustered in the same cluster group. Likewise, the provinces of Marmara, Western Eagen and Southern Mediterranean regions clustered in the same cluster in term of similarities.

süleyman demirel üniversitesi  fen bilimleri enstitüsü dergisi/süleyman demirel üniversitesi fen bilimleri enstitüsü dergisi

Türkiye’de Üniversiteye Yerleşme Başarısının Bootstrap Örnekleme Yöntemi Kullanılarak Yapılan Hiyerarşik Kümeleme Analizi ve İki Yönlü Kümeleme Analiziyle İncelenmesi