This exploratory study examined factors potentially associated with graduation for White and Black female Drug Treatment Court participants. Multiple logistic regression models for predicting program graduation were employed using an administrative data set (N = 1,093). Race was significant in a combined model. Age, prior felonies, employment, and negative peer associations predicted graduation for White women, whereas negative peer associations was the only predictor of graduation for Black women. Consideration of other factors that are not typically collected through administrative screenings is needed to better understand the strains typically experienced by Black women in Drug Treatment Court.

这项探索性研究检查了可能与白人和黑人女性药物治疗法庭参与者毕业相关的因素。使用行政数据集 ( N = 1,093)采用了用于预测项目毕业的多元逻辑回归模型。种族在组合模型中很重要。年龄、先前的重罪、就业和消极的同伴协会预测白人女性毕业，而消极同伴协会是黑人女性毕业的唯一预测因素。需要考虑通常不会通过行政筛选收集的其他因素，以更好地了解黑人妇女在药物治疗法庭上通常经历的压力。