Analysis of Factors Affecting Early Marriage and School Drop Out Among Women in Kenya
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Date
2024-06
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Addis Ababa University
Abstract
Dropping out of school is described as leaving school without completing a minimum requirement due to harmful practices like early marriage, whereas early marriage is marriage before the age of 18. The primary goal of this study was to examine and identify factors that influence early marriage and school dropout in Kenya applying binary multilevel logistic regression model to the 2022 KDHS data. A community based cross-sectional study was conducted on a total 17,778 and 16,416 married and school enrolled weighted sample of women registered between February 17 and July 19, 2022 for KDHS in all regions of Kenya. From the total of 17,778 and 16,416 married and school enrolled women, 27.91% and 33.56% have experienced early marriage and school dropout respectively. Separate and binary and multilevel models were fitted with the help of STATA and SPSS version 27 software. AIC and BIC were used to compare all fitted models. Compared to other models, the binary multilevel logistic regression model provided the best fit for early marriage and school dropout. Based on the binary multilevel model, both early marriage and school dropout varied across clusters in Kenya. The results show that women in rural areas and women from the poor wealth index are more likely to be exposed to early marriage and school dropout. Therefore, there is a need for an enormous intervention on these indicators to minimize early marriage and school dropout.
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Early Marriage, School Dropout, Binary Multilevel Logistic Regression