September 5, 2025BMC PediatricsOpen Access

School dropout among children aged 5–17 in Türkiye and related factors: a logistic regression analysis

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Logistic regression analysis reveals dropout risks in children, highlighting the importance of educational support and demographic factors.

School dropout rates are notably higher among girls and older children, indicating systemic issues in education access.
Analysis showed that demographic and household characteristics significantly influence dropout likelihood across different regions of Türkiye.
Logistic regression methods were employed using TurkStat's 2019 Child Labour Survey dataset to identify factors related to school dropout.
Promoting girls' education and reducing caregiving roles could enhance educational retention for vulnerable children.

Bayrakçeken et al. (2025) studied this question.

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Logistic regression analysis reveals dropout risks in children, highlighting the importance of educational support and demographic factors.