Comparison of Academic Structure of Universities in Turkey by Multiple Correspondence Analysis Method

Özel Sebetci, Gökhan Aksu

Abstract


The purpose of this study is to reveal the similarities and differences between the universities in Turkey with regard to the numbers of academicians and departments. Within the scope of this objective, we included the first 100 universities among the total 185 universities in Turkey according the URAP data by the criterion sampling method. Conformity analysis, one of the multivariate statistical methods, was used in the data analysis. A two-dimensional graphic is obtained including the points representing the variable categories in the multi-dimensional space by using mathematical models to determine the structures of crosstabs consisting of the rows and columns through multiple conformity analysis. As a result of the study, it was determined that there was a conformity between the Ankara, Odtü, Marmara, Gazi, Hacettepe, İstanbul, Atatürk and İnönü Universities. In addition, a conformity was determined between the Ankara, İstanbul, İstanbul Teknik, Ege and Başkent universities according to the professor numbers within the academician categories. It was determined that there was no conformity between the Özyeğin, Bilkent, Kadir Has, Sabancı, Bahçeşehir, Koç and İstanbul Ticaret Universities regarding the variables addressed within the study. Based on the study, it is suggested that similar studies of multiple conformity analysis should be repeated with the different data groups.

https://doi.org/10.26803/ijlter.18.6.3


Keywords


correspondence analysis; universities data management; country-specific developments; decision support strategies

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References


Abdi , H., & Valentin, D. (2007). Multiplefactoranalysis (MFA). In N. Salkind (Ed.), Encyclopedia of Measurementand Statistics. CA: Sage Publications.

Alberti, F. (2013). A note on fashion cycles, novelty and conformaty. Jena Economic Research Papers.

Alberti, G. (2015). CAinterprTools: An R packagetohelpinterpretingCorrespondence Analysis results. SoftwareX, 1(2), 23-31. doi:10.1016/j.softx.2015.07.001

Alpar , R. (2013). Uygulamalı çok değişkenli istatistiksel yöntemler. Ankara: Detay Yayıncılık. [Applied multivariate statistical methods. Ankara: Detail Publishing.]

Bayram, N. (2000). Karşılık Getirme Analizi ve Bankacılık Sektörüne Uygulanması. Bursa: Uludan UNİ. Sosyal Bilimler Enstitüsü Ekonometri Anabilim Dalı. [Reciprocal Analysis and Application to Banking Sector. Bursa: Uludan UNİ. Institute of Social Sciences Department of Econometrics.]

Becker, H. (1995). The power of inertia. Qualitative Sociol, 18(3), 301-309. doi:10.1007/BF02393344

Beh, E. J. (2011). A European perception of food using two methods of correspondence analysis. . Food quality and preference, 22(2), 226-231. doi:10.1016/j.foodqual.2010.10.001

Beh, E., & Lombardo, R. (2014). Correspondenceanalysis: Theory, practiceandnew strategies. Chichester: Wiley.

Bendixen, M. T. (1995). Compositional perceptual mapping using chi squared trees analysis and correspondence analysis. Journal of Marketing Management, 11(6), 571-581. doi:10.1080/0267257X.1995.9964368

Blanco, D. V.-G. (2007). Activation of the DNA Damage Response Pathwa. Neoplasia, 9(10), 840.

Blasius, J. &. (1998). Visualization of Categorical Data . San Diego: Academic.

Blazun, H., Kokol, P., & Vosner, J. (2015). Survey on specificnursingcompetences: Students perceptions. NurseEducation in Practice, 15, 359-365. doi:10.1016/j.nepr.2015.02.002

Bolviken, E. &.-l.-O. (1982). Correspondence analysis: an alternative to principal components. World Archaeology, 14, 41-60. doi:10.1080/00438243.1982.9979848

Camiz, S., & Gomes, G. (2016). Alternative methods to multiple correspondence analysis inreconstructing there levantin formation in a burt's table. PerquisaOperacional, 36(1), 23-44. doi:10.1590/0101-7438.2016.036.01.0023

Clausen , S. (1998). Applied Correspondence Analysis An Introduction. Oslo: Norwegian Institutefor Urban and Regional Research.

Das, S., & Sun , X. (2014). Exploring Clusters Of Contributing Factors for Single-Vehicle Fatal Crashes Through Multiple Correspondence Analysis. Transportation Research Board 93rd Annual Meeting.

Das, S., & Sun, X. (2016). Association Knowledge for fatal run-off-road crashes by Multiple Correspondence Analysis. International Association Of Traffic and Safety Sciences , 39, 146-155. doi: 10.1016/j.iatssr.2015.07.001

D'Esposito, M., Stefano , D., & Ragozini, G. (2014). On The Use Of Multiple Correspondence Analysis to visually explore affiliation networks . Social Networks, 38, 28-40. doi:10.1016/j.socnet.2014.01.003

Dönmez , A., Kutluk, F., & Terzioğlu, M. (2015). A Re-ResearchAboutAwareness of The StudentsAboutTheInnovations of Turkish Commercial Code No 6102 andTurkishFinancialReportingStandards. Procedia Social and BehavioralSciences, 197, 67-74. doi: 10.1016/j.sbspro.2015.07.048

Fidel, T. B. (2001). Using Multivariate Statistics. USA: Allyn& Bacon.

Filiz, Z., & Çemrek, F. (2007). Üniversite Öğrencilerinin Barınma Sorunlarının Uygunluk Analizi İle İncelenmesi. Eskişehir Osmangazi UNİ. Sosyal Bilimler Dergisi, 8(2), 207. [Investigation of Accommodation Problems of University Students with Eligibility Analysis. Eskişehir Osmangazi Uni. Journal of Social Sciences]

Freudenthal, M., Martín-Suárez, E., Gallardo, J., Garcia-Alix Daroca, A., & Minwer-Barakat, R. (2009). The application of correspondence analysis in palaeontology. Comptes Rendus Palevol, 8(1), 1-8. doi:10.1016/j.crpv.2008.11.002

Greenacre, M., & Hastie, T. (1987). TheGeometricInterpretation of Correspondence Analysis. Jasa, 82(398), 437-447.

Greenacre, M., & Pardo, R. (2006). Subsetcorrespondenceanalysis: visualizingrelation-ships among a selected set of responsecategoriesfrom a questionnairesurvey. Sociological MethodsandResearch, 35, 193-218. doi:10.1177/0049124106290316

Greencare, M. (1984). Theoryand Applications of Correspondence Analysis. London: AcademicPress.

http://www.yok.gov.tr/. (2016). www.yok.gov.tr/. http://www.yok.gov.tr/ adresinden alındı. [Received from]

J.H. Adams, S. A.-N. (2013). An evaluation of the exposure in nadir observation of the JEM-EUSO mission. Astroparticle Physics, 44(1), 76-90. doi:10.1016/j.astropartphys.2013.01.008

Jalayer, M., Pour-Rouholamin, M., & Zhou, H. (2018). Wrongway driving crashes: A multiple correspondence approach to identify contributing factors. Traffic Injury Prevention, 19(1), 35-41. doi:10.1080/15389588.2017.1347260

Karasar, N. (2000). Bilimsel Araştırma Yöntemi. Ankara: Nobel Yayın Dağıtım.[ Scientific Research Method. Ankara: Nobel Publication Distribution.]

Nenadic, O., & Greenacre, M. (2007). Correspondenceanalysis in R, withtwoandthree-dimensionalgraphics: Thecapackage. Journal of Statistical Software, 20, 1-13.

Özdamar, K. (2004). Paket Programlama ile İstatistiksel Veri Analizi-2. Eskişehir: Kaan Kitabevi. [Statistical Data Analysis with Package Programming-2. Eskişehir: Kaan Bookstore.]

Pallant, J. (2005). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS forWındows. Australia: AustralianCopyright.

Reynolds, H. (1977). Analysis of nominal data. Iowa: SAGE UniversityPress.

Roux, B., & Rouanet, H. (2010). MultipleCorrespondence Analysis. Washington: Sage Publications.

Suner, A. (2007). Sağlık KurumuSeçiminde Uygunluk Analizinin Toplum Tabanlı Bir Çalışmaya Uygulanması.Yüksek Lisans Tezi. İzmir: Dokuz Eylül UNİ. Fen Bilimler Enstitüsü İstatistik Anabilim Dalı.[Application of Eligibility Conformity Analysis to a Community-Based Study. Master Thesis. İzmir: Dokuz Eylül Uni. Graduate School of Natural and Applied Sciences Department of Statistics.]

Suner, A., & Çelikoğlu, C. (2008). Uygunluk Analizinin Benzer Çok Değişkenli Analiz Yöntemleri ile Karşılaştırılması. İstatistikçiler Dergisi, 1, 9-15. [Comparison of Conformity Analysis with Similar Multivariate Analysis Methods. The Journal of Statistics.]

Suner, A., & Çelikoğlu, C. (2010). Toplum Tabanlı Bir Çalışmada Çoklu Uygunluk Analizi ve Kümeleme Analizi ile Sağlık Kurumu Seçimi. Dokuz Eylül UNİ. İktisadi ve İdari Bilimler Fakültesi Dergisi, 2(25), 43-55. [Multiple Conformity Analysis and Selection of Health Institution by Cluster Analysis in a Community-Based Study. Dokuz Eylül Uni. Journal of Faculty of Economics and Administrative Sciences.]

Tatlıdil, H. (1996). Uygulamalı Çok Değişkenli İstatistiksel Analiz. Ankara: Akademi Matbaası. [Applied Multivariate Statistical Analysis. Ankara: Academy Press.]

Ulakbim. (2016). tubitak.gov.tr. Retrieved at: http://ulakbim.tubitak.gov.tr/


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