Revisiting primary school dropout in rural Cambodia

Abstract

Previous studies on school dropout in Cambodia often used data from subjects after they already dropped out or statistics from education-related institutions. Using data from children in two rural provinces before they dropped out, this study examines four main factors in order to identify their influence on primary school dropout in Cambodia. Results from logistic regression analysis revealed that some predictors on individual, family, and school factors were found to be statistically significant to predict the odds of dropout in both grades 1 and 5, whereas poverty and child labor could not be detected, though they have been frequently cited as major predictors in the literature of school dropout in Cambodia as well as developing countries.