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Journals / Yükseköğretim Dergisi / 2026 / Cilt: 15 Sayı: Special Issue Özel Sayı

Complementary Map of Quality in Higher Education: Missing Data and Evaluation Strategies

Yükseköğretimde Kalitenin Tamamlayıcı Haritası: Eksik Veriler ve Değerlendirme Stratejileri

Gözde Bozkurt(BEYKENT ÜNİVERSİTESİ)0000-0001-8413-1099
Volkan Öngel(BEYKENT ÜNİVERSİTESİ)0000-0001-8881-2465
Pages
141–149
Publication Date
2025-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this context, a discussion was carried out on appropriate data completion methods so that higher education institutions can evaluate their performance more accurately and develop strategies to increase quality.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, missing data in the basic indicators of universities within the scope of the Indicator Evaluation Report shared on the official website of the Higher Education Quality Council (YÖKAK) were examined.
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Key Findings & Data:Indicator reports of universities have an important place in terms of strategic management and quality assurance.
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Conclusion & Impact:In this context, a discussion was carried out on appropriate data completion methods so that higher education institutions can evaluate their performance more accurately and develop strategies to increase quality.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Yükseköğretimde Kalite · Eksik Veri Analizi · Gösterge Değerlendirme

Abstract

In this study, missing data in the basic indicators of universities within the scope of the Indicator Evaluation Report shared on the official website of the Higher Education Quality Council (YÖKAK) were examined. Indicator reports of universities have an important place in terms of strategic management and quality assurance. In this context, the structure of missing data was analyzed through a panel data set created within the framework of completely missing at random (MCAR), missing at random (MAR) and non-random missing (MNAR) categories. The findings show that the missing data predominantly have a random structure. The study emphasizes that determining whether the missing data is random or systematic is critical in terms of choosing the right methods in the analysis process. In this context, a discussion was carried out on appropriate data completion methods so that higher education institutions can evaluate their performance more accurately and develop strategies to increase quality.

Özet

Bu çalışmada, Yükseköğretim Kalite Kurulu’nun (YÖKAK) resmi internet sitesinde paylaşılan Gösterge Değerlendirme Raporu kapsamındaki üniversitelerin temel göstergelerindeki eksik veriler incelenmiştir. Üniversitelerin gösterge raporları, stratejik yönetim ve kalite güvencesi açısından önemli bir yer tutmaktadır. Bu bağlamda, eksik verilerin yapısı tamamen rastgele kayıp (MCAR), rastgele eksik (MAR) ve rastgele olmayan kayıp (MNAR) kategorileri çerçevesinde oluşturulan panel veri seti aracılığıyla analiz edilmiştir. Bulgular, eksik verilerin ağırlıklı olarak rastgele bir yapıya sahip olduğunu göstermektedir. Çalışmada, eksik verilerin rastgele veya sistematik olup olmadığının belirlenmesinin, analiz sürecinde doğru yöntemlerin seçilmesi açısından kritik olduğu vurgulanmaktadır. Bu doğrultuda, yükseköğretim kurumlarının performanslarını daha sağlıklı değerlendirebilmesi ve kaliteyi artırmaya yönelik stratejiler geliştirebilmesi için uygun veri tamamlama yöntemleri üzerine bir tartışma yürütülmüştür.

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Cite This Article

Bozkurt, G., Öngel, V. (2025). Complementary Map of Quality in Higher Education: Missing Data and Evaluation Strategies. Yükseköğretim Dergisi, Cilt: 15 Sayı: Special Issue Özel Sayı, 141–149. https://doi.org/10.53478/yuksekogretim.1538863

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