Scaling through pair-wise comparison method in required characteristics of students applying for post graduate programs
Keywords:
pair-wise comparision method, scalingAbstract
The Aim and Significance of the Research: The characteristics that lecturers wish students applying for post-graduate programs should possess are determined in this paper quantitatively through pairwise comparisons according to the lecturers' responses.The fact that resources and studies concerning the issue of scaling are scarcely available has been the most significant driving force for researchers to conduct research on this issue. It is believed that this research will make contributions to the field of scaling, which has limited number of studies. Since this research is a work of scaling which is rarely seen in the field of education, it is thought that the research is significant.
Method of Research: The research was conducted on the 129 lecturers working in the different departments of Hacettepe University in the fall and spring semesters in the 2006 - 2007 academic year. At the stage of preparing the tool of measurement, the 7 characteristics that were required students should possess for selection to post-graduate education programs were determined and a tool of measurement through which pairwise comparisons would be made were designed. Consequently, the scale value for each characteristic was marked on the line of numbers.
Findings and Comments: According to the pairwise comparison, academic achievement score is in the first order. This is followed by the score gained in the interview, the purpose in entering the department, their level of English proficiency, ALES score, whether or not they are originally the students of the department and whether or not they have a letter of reference, respectively. According to results, when the students are selected to the post-graduate education programs it is suggested that the weighting of the students' characteristics required is made by considering this order. In addition to this, it is thought that studying with different samples and different scaling methods provide important contribution to the field.
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