Türkiye’de Yaşam Memnuniyetinin Belirleyicileri Üzerine Bir İnceleme: Lojistik Regresyon Analizi

Year 2025, Volume: 22 Issue: 6, 1269 - 1278, 17.12.2025

Ayhan Ünal , Hasan Bozgeyikli

https://doi.org/10.26466/opusjsr.1799733

Abstract

Bu araştırmanın amacı, bireylerin yaşam memnuniyetini yordayan farklı alanlardaki (gelir, sağlık, konut, eğitim, iş, sosyal ilişkiler vb.) memnuniyet düzeylerinin genel yaşam memnuniyeti ile olan ilişkilerini ve bu ilişkilerin göreli önem düzeylerini belirlemektir. Türkiye İstatistik Kurumu’nun (TÜİK) 2024 yılı Yaşam Memnuniyeti Araştırması’na ait mikro veriler kullanılarak, 9462 katılımcının (5021 kadın, 4441 erkek; Ort. yaş = 45.7, Ss = 16.5) verileri ikili lojistik regresyon analiziyle incelenmiştir. Yaşam memnuniyeti değişkeni, ortalama puan temel alınarak “memnun” ve “memnun değil” olmak üzere iki kategoriye ayrılmıştır. Uygulanan modelin veri ile uyumunun yeterli düzeyde olduğu belirlenmiş; yaşam memnuniyetine ilişkin varyansın yaklaşık %20’si açıklanabilmiştir. Elde edilen bulgular doğrultusunda, yaşam memnuniyetinin en güçlü yordayıcısının gelir memnuniyeti olduğu sonucuna ulaşılmıştır. Gelir memnuniyetini sırasıyla sağlık, evlilik, arkadaşlık ilişkileri, sosyal yaşam, konut, iş, eğitim ve bireyin kendine zaman ayırma memnuniyeti izlemektedir. Yaş değişkeni, yaşam memnuniyetini negatif yönde yordarken; cinsiyetin anlamlı bir yordayıcı olmadığı görülmüştür. Bulgular, Türkiye’de yaşam memnuniyetinin ekonomik güvenlik, fiziksel sağlık ve sosyal ilişkilerle yakından ilişkili olduğunu ortaya koymaktadır. Bu doğrultuda, gelir eşitsizliğini azaltmaya yönelik politikalar, sağlık hizmetlerine erişimi artıran uygulamalar ve sosyal bağları güçlendirmeyi amaçlayan müdahaleler, yaşam memnuniyetini artırmada etkili olabilir.

Keywords

Yaşam memnuniyeti , gelir memnuniyeti , sağlık memnuniyeti , lojistik regresyon

An Examination of the Determinants of Life Satisfaction in Türkiye: A Logistic Regression Analysis

Abstract

The purpose of this study is to determine the relationships between satisfaction levels in different domains (income, health, housing, education, work, social relationships, etc.) that predict individuals' life satisfaction and their overall life satisfaction, as well as the relative importance levels of these predictors. Using microdata from the Turkish Statistical Institute's (TÜİK) 2024 Life Satisfaction Survey, the data of 9,462 participants (5,021 women, 4,441 men; mean age = 45.7, SD = 16.5) were examined using binary logistic regression analysis. The life satisfaction variable was divided into two categories, “satisfied” and “not satisfied,” based on the average score. The model applied was found to be adequately fitted to the data, accounting for approximately 20% of the variance in life satisfaction. The findings indicate that income satisfaction is the strongest predictor of life satisfaction. Income satisfaction is followed by satisfaction with health, marriage, friendships, social life, housing, work, education, and time for oneself. The age variable negatively predicts life satisfaction, while gender was found to be a non-significant predictor. The findings reveal that life satisfaction in Türkiye is closely related to economic security, physical health, and social relationships. Accordingly, policies aimed at reducing income inequality, practices that increase access to health services, and interventions aimed at strengthening social bonds may be effective in increasing life satisfaction.

Keywords

Life satisfaction , income satisfaction , health satisfaction , logistic regression

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