Cilt 8 Sayı 1 (2020): Business & Management Studies: An International Journal
Makaleler

LİKERT VERİLERİNİN KULLANILDIĞI KEŞFEDİCİ FAKTÖR ANALİZLERİNDE NORMALLİK VARSAYIMI VE FAKTÖR ÇIKARMA ÜZERİNDEKİ ETKİSİNİN SPSS, FACTOR VE PRELIS YAZILIMLARIYLA SINANMASI

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  • Hüner ŞENCAN,
  • Yahya FİDAN
Hüner ŞENCAN
Prof. Dr., İstanbul Ticaret Üniversitesi
Yahya FİDAN
Prof. Dr., İstanbul Ticaret Üniversitesi

Yayınlanmış 25.03.2020

Anahtar Kelimeler

  • Likert Scales, Exploratory Factor Analysis, Normality Assumption
  • Likert Ölçekleri, Keşfedici Faktör Analizi, Normallik Varsayımı

Nasıl Atıf Yapılır

LİKERT VERİLERİNİN KULLANILDIĞI KEŞFEDİCİ FAKTÖR ANALİZLERİNDE NORMALLİK VARSAYIMI VE FAKTÖR ÇIKARMA ÜZERİNDEKİ ETKİSİNİN SPSS, FACTOR VE PRELIS YAZILIMLARIYLA SINANMASI. (2020). Business & Management Studies: An International Journal, 8(1), 640-687. https://doi.org/10.15295/bmij.v8i1.1395

Nasıl Atıf Yapılır

LİKERT VERİLERİNİN KULLANILDIĞI KEŞFEDİCİ FAKTÖR ANALİZLERİNDE NORMALLİK VARSAYIMI VE FAKTÖR ÇIKARMA ÜZERİNDEKİ ETKİSİNİN SPSS, FACTOR VE PRELIS YAZILIMLARIYLA SINANMASI. (2020). Business & Management Studies: An International Journal, 8(1), 640-687. https://doi.org/10.15295/bmij.v8i1.1395

Öz

Bu yazıda sıralı kategorisinde değerlendirilen Likert verileriyle Keşfedici Faktör Analizi (KFA) yapmak için normallik varsayımının hangi durumlarda gündeme geleceği, hangi tür KFA yöntemlerinin söz konusu olduğu, SPSS, PRELIS ve FACTOR yazılımlarıyla normallik değerlemesinin nasıl yapılacağı, değişik KFA yöntemlerinin faktöriyel yapıları nasıl ortaya çıkardığı, normallik varsayımının sağlanmadığı durumlarda uygun olmayan KFA yöntemi uygulanırsa faktör yapılarının bundan nasıl etkileneceği ve normallik analizi sonuçlarının nasıl raporlanacağı konuları üzerinde durulmuştur. Çalışma bir yönden eğitsel bir niteliğe sahipken diğer taraftan normal dağılım özelliği göstermeyen verilerin değişik istatistiki yazılımlarda ortaya koyabileceği faktöriyel yapıları sorgulamaktadır. Araştırma bulgularından sıralı ölçek verilerinin kullanıldığı çalışmalarda en sağlıklı faktöriyel yapıların Lisrel-Prelis ve Factor gibi yazılımlarla elde edilebileceği anlaşılmıştır.

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