SİYASET BİLİMİNDE ETKİLEŞİMLİ MODELLER ÜZERİNE

Sosyal bilimlerde sayıları özellikle son yıllarda hızla artan çalışmada öne sürülen koşullu kuramsal beklenti ve önermelerin nicel yöntemlerle tahlil edilmesinde etkileşimli modellerden kullanılmaktadır. Ancak etkileşimli doğrusal ve doğrusal-olmayan modellerden yararlanan çalışmaların birçoğunda kurucu bağımsız değişkenlerinin koşulsuz, koşullu ve marjinal etkilerinin hesaplanması ve yorumlanması hatalı ya da eksik yapılmaktadır. Çalışmamızda siyaset metodolojisi alanında etkileşimli modellere dair güncel çalışmalarda dikkat çekilen hususlar ve önerilen yöntem ve tanı araçlarının detaylı bir incelemesi yapılmaktadır. Çok sayıda kuramsal ve kurgusal örnek yardımıyla, etkileşimli doğrusal ve doğrusal-olmayan modeller için önerilen bu yöntemlerin uygulanmasında dikkat edilmesi gereken noktaların altı çizilmekte ve bu noktalar çalışmanın sonuç bölümünde özetlenmektedir. Bu sayede ülkemizde gelecekte yapılacak çalışmalarda koşullu kuramsal beklentilerin öne sürülmesinde ve bunların nicel yöntemlerle tahlil edilmesi ve yorumlanmasında ortaya çıkabilecek olası hataların önüne geçilmesi amaçlanmaktadır.

ON INTERACTIVE MODELS IN POLITICAL SCIENCE RESEARCH

Interactive models have been increasingly used in social science research to assess conditional theoretical expectations and hypotheses empirically. However, the direct, indirect, and marginal effects of the constitutive terms in interactive linear and non-linear models are often erroneously calculated and interpreted. This study examines the contemporary political methodology literature pointing to various sources of such errors and presenting alternative methods to calculate marginal effects and diagnostic tools. The proposed methods and statistical tools are then examined with the help of several applied and hypothetical examples, and several essential takeaways are summarized in the concluding section. Consequently, this study aims to help Turkish scholars avoid similar errors in positing conditional expectations, testing those using quantitative methods, and interpreting their findings.

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