Üniversitelerin iktisadi ve idari bilimler fakültesi İnternet sayfalarının içerik analizi

Abstract

Türkiye’de eğitim vermekte olan üniversitelerin işletme bölümlerinin İnternet sayfalarını ne kadar etkin kullandıkları bu çalışma ile araştırılmıştır. Çalışma kapsamında Türkiye’de eğitim vermekte olan üniversitelerin işletme bölümü İnternet sayfaları İçerik Analizi yöntemi ve Kümeleme Analizi yöntemi ile analiz edilmiştir. Çalışmada analiz edilen örneklem büyüklüğünü kümeleme yöntemine göre seçilen 21 üniversite oluşturmaktadır. İnternet sayfalarını etkin olarak kullanan üniversitelerin sıralamasına uygulama bölümünde yer verilmiştir. Üniversitelerin İçerik Analizi puanları, taban puanları ve yerleşen aday sayıları değişkenleri kullanılarak üniversitelerin Kümeleme Analizi sonuçları değerlendirilmiştir. Hiyerarşik Kümeleme Analizi sonuçlarına göre bölgesel, kuruluş yılı ve üniversite yapısına (devlet/özel) göre üniversiteler arasında herhangi bir farklılaşma olmadığı tespit edilmiştir.

Keywords

• Üniversite,İnternet Sayfası,İçerik Analizi,Kümeleme Analizi

The Content Analysis of the Internet Pages of the University’s Faculty of Economics and Administrative Sciences

Abstract

This study investigated how effectively the Internet pages of business departments of universities in Turkey are used. Within the scope of the study, the business department's web pages of the universities operating in Turkey were analyzed by Content Analysis Method and Cluster Analysis Method. The sample analyzed in the study is composed of 21 universities selected according to the cluster sampling method. The ranking of universities that effectively use Internet pages is listed in the application section. The results of Cluster Analysis of the universities were evaluated using the Content Analysis scores of universities, base scores and the number of settled candidate numbers. According to the results of Hierarchical Cluster Analysis, it is determined that there is no differentiation between the universities according to regional, foundation year and university structure (state/private).

Keywords

• University,Internet Pages,Content Analysis,Cluster Analysis

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