A combined approach using multiple correspondence analysis and loglinear models for student perception in quality in higher education


KALAYCI ATAY N., Basaran M. A.

Innovation and Society Conference (IES), Milan, İtalya, 9 - 10 Aralık 2013, cilt.17, ss.55-62 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 17
  • Doi Numarası: 10.1016/s2212-5671(14)00878-8
  • Basıldığı Şehir: Milan
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.55-62
  • Anahtar Kelimeler: Quality measurement, student perception, Multiple correspondence analyses, Log-Linear model
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Quality in higher education is one of the most important issues in higher education institutes around the world. Several attempts have been made in order to improve quality in higher education in last three decades with several ideas related to quality concept stemming from industry are emulated. The focus groups of some of these attempts are students, academicians, course materials or combination of them in general for understanding what the focus groups expect from quality concept and its implementation into higher education. However, this side of the "quality" research field is slightly new and deprives of in-depth discussions. For this purpose, a questionnaire is designed to measure the quality perception of 493 freshman and senior students majoring in eight different departments at Faculty of Education in Gazi University in Turkey. The questionnaire was containing three parts, which were personal information, likert-type questions and open-ended questions, respectively. Students' answers were classified and " evaluated by Conventional Content Analysis based on the "Quality" concept with dimensions of "Exception", "Perfection", " Fitness for Purpose", and " Money for Value", and "Transformation" for data preparatory tool for further analysis which was Multiple Correspondence Analyses. Then, Multiple Correspondence Analyses and Log-Linear Model were run for locating the perception of students with respect to some variables on graph for determining which factors and interactions are significant. Some of the foremost results are such that science students are more aware of "quality" and its implementations than do other students from social science and talent groups and also senior students and female students are more interested in the concept of "quality" than do freshmen students and male students. Furthermore, " Fitness to Purpose" and " Money for Value" dimensions are the most mentioned ones among students. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license