KANTİTATİF ÇOK VAKALI (LARGE-N) VERİ ANALİZİ VE KÜRESEL ULUSLARARASI İLİŞKİLER YAZININDAKİ UYGULAMALARI

İstatistiki veri analiz programlarına erişimin kolaylaşması ve çok vakalı veri setlerinin yaygınlaşıp ulaşılabilir hale gelmesiyle birlikte uluslararası ilişkiler yazınında kantitatif çok vakalı veri analizlerine dayalı makaleler ağırlık kazanmaya başlamış ve günümüzde artık neredeyse her çalışmada görebileceğimiz yaygınlığa ulaşmıştır. Uluslararası ilişkiler yazınında gerek devletlerin gerekse devlet-dışı aktörlerin farklı boyutlardaki ilişkilerinin çok vakalı veri analizi uygulanarak incelenmesi, yapılan çalışmaların dış geçerliliğini (external validity) artırmaktadır. Ancak, veri setinin yapısına ve veri oluşum sürecine (data generating process) önem verilmeden ve sadece ortaya konan hipotezi doğrulama amacıyla sofistike kantitatif yöntemleri kullanma eğilimi, bu alanda suistimallere açık kapı bırakmaktadır. Bu makaledeki ana sav, güçlü teorik altyapıya sahip olunduğu ve araştırma yöntemlerindeki temel bazı unsurlara dikkat edildiği sürece basit istatistiki analizlerle bile çoklu vaka analizinin mümkün olabileceğine ve bu çalışmaların prestijli dergilerde yayınlanma potansiyeline dikkat çekmektir. Makalenin genel amacıysa, çok vakalı veri analizi yapmayı planlayan sosyal bilim araştırmacılarına sağlıklı bir sosyal çıkarım için verinin basitçe nasıl kullanılabileceği konusunda fikir vermek ve değişkenlerin amaca uygun dönüştürülmesinden veri setinin yapısına uygun analiz yönteminin seçilmesine kadar birtakım konularda basit düzeyde yardımcı olmaktır. Makale, ortaya konan sav ve amaçları doğrultusunda son elli yılda uluslararası ilişkiler yazınında öne çıkan çok vakalı veri analizi uygulamalarını, konu ile ilgili güncel tartışma ve önerileri ve özellikle de büyük verilerin (big data) kullanımının yazını yakın gelecekte nasıl etkileyebileceğini okuyucunun dikkatine sunmaktadır.

QUANTITATIVE LARGE-N DATA ANALYSIS AND ITS APPLICATION IN INTERNATIONAL RELATIONS LITERATURE

Thanks to availability of various large-N datasets, developments in statistical techniques, and convenient usage of statistical softwares, quantitative large-N techniques have come to be applied extensively by researchers in the field of international relations. Such extensive applications of these techniques, on the one hand, help us evaluate the external validity of arguments or empirical claims made by scholars in the field. On the other hand, employing these techniques without paying attention to theoretical explanations, expectations, and assumptions with the aim of catching up statistical significance between variables of interest falls short of scientific integrity and quality. This article aims to highlight points requiring scholarly attention while applying quantitative large-N techniques to questions in international relations. Referring to prominent empirical discussions in the literature and giving examples, this article also wants to draw researchers’ attention to the future in international relations in the light of the big data revolution.

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