Bu araştırmanın amacı, TÜİK 2016 Hane Halkı İşgücü İstatistikleri veri seti kapsamında mesai sürelerini etkileyen değişkenleri analiz etmektir. Hiyerarşik regresyon analizinin sonuçları, cinsiyet, yaş, medeni durum, eğitim düzeyi ve deneyim süresi gibi bireysel değişkenlerin mesai süreleri üzerinde etkili değişkenler olduğunu göstermektedir. Ayrıca çalışan sayısı, kayıtlı istihdam ve ücret düzeyi gibi işle ilgili değişkenler de mesai sürelerinin diğer açıklayıcı değişkenleri olarak tespit edilmiştir. Tüm değişkenler bir arada haftalık mesai sürelerindeki değişimi %10,7 oranında açıklayabilmektedir. Araştırmanın bir diğer sonucu, mesai süresi ile çalışan sayısı, eğitim düzeyi, kayıtlı istihdam ve ücret düzeyi arasında görece daha yüksek korelasyon ilişkisi olduğu yönündedir. Nihayet, istatistiksel analizler mesai süreleri açısından cinsiyet farklılığı olduğunu göstermiştir. Bulgular erkeklerin kadınlara oranla daha uzun süreli mesailer (%6) yaptığına işaret etmektedir.
This paper investigates factors affecting the number of hours worked per week based on a sample from the Turkish Statistic Institute’s (TSI) 2016 labor force statistics. Overall, the results of the hierarchical multiple regression analysis revealed that individual variables including gender, age, marital status, education and job experience are significant predictors of the number of hours worked. Moreover, the number of workers, amount of formal work and income as a job-related factor are observed to predict the number of hours worked. These predictors account for 10.7 percent of the variance in the number of hours worked. In addition, the results of correlation analysis indicate that the number of hours worked is negatively and significantly correlated with gender, education, job experience, the number of workers and income but is positively and significantly related to marital status, position and formal work. Finally, a significant difference in gender was found with respect to the number of hours worked, with male employees having a higher number of working hours compared to female employees (6%).
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