Modeling Factors Affecting the Length of Early Marriage Using Binary Logistic Regression

Early marriage refers to a union where one or both partners are below the optimal age, leading to insufficient physical, mental, and material preparedness. This lack of readiness often contributes to emotional and psychological immaturity, increasing the risk of divorce. This research employs a binary logistic regression model to analyze the influencing factors influencing the duration of early marriages, with data sourced from the Supreme Court decision website, focusing on cases in Indramayu Regency. Thefindings indicate that the number of children, cause of divorce, and age difference significantly influence the likelihood of early marriages lasting more than 5 years, with the number of children being the most influential factor. Conversely, the occupations of both the wife and husband were not statistically significant. Model fit testing yielded a chi-square significance value of 0.569, confirming the model's suitability for explaining the duration of early marriages. Additionally, the model demonstrated a high accuracy rate of 90.1%, highlighting its strong predictive capability. This research offers critical insights into the determinants of early marriage duration and their implications.