Exploring the Factors Influencing School Dropout: A Logit Model Analysis

School dropout negatively impacts a country’s development index, with numerous factors contributing to this complex phenomenon. To investigate the factors associated with school dropout in a specific region of Morocco, a cross-sectional study was conducted, encompassing a weighted sample of 274 junior secondary education students. Data collection was facilitated through a questionnaire administered to school directors. The data processing involved two main stages: preparation and modeling. The modeling phase employed a binary logistic regression model, focusing on the student’s dropout status as the dependent variable. The study’s findings highlighted several significant factors associated with school dropout: academic performance (as indicated by exam grades), the student’s age and gender, and the availability of school transportation services that encourage students to continue their studies. Additionally, while class size also played a significant role, its impact was deemed less critical compared to the other factors identified. These results underscore that school dropout is influenced by a multitude of factors, suggesting the need for targeted interventions to prevent dropout and foster academic success, particularly among female students.

@article{LAKCHOUCH2025,
  title     = {Exploring the Factors Influencing School Dropout: A Logit Model Analysis},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {8},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Noaman LAKCHOUCH and Lamarti Sefian MOHAMMED and Mustapha KHALFOUNI},
  doi       = {10.14569/IJACSA.2025.0160893},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160893}
}