Based on a synthesis of persistence theory and the empirical literature, an online doctoral program integration model was developed using data from 232 online EdD students. A predictive, correlation design and regression analysis were used to examine if personal factors (sex, race, age, marital status, and presence of children in the home) and program factors (stage in doctoral journey, synchronous interactions, cohorts, and orientations) could predict program integration . The entire model was significant. The variables of sex, race, participation in a cohort, and engagement in synchronous communication individually contributed to the variance in program integration.

中文翻译：

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识别预测在线EdD学生计划集成的重要个人和计划因素

基于持续性理论和经验文献的综合，使用来自232位在线EdD学生的数据开发了在线博士课程集成模型。进行了预测性，相关性设计和回归分析，以检查个人因素（性别，种族，年龄，婚姻状况和孩子在家里的情况）和程序因素（博士旅行的阶段，同步互动，队列和方向）可以预测程序的整合。整个模型很重要。性别，种族，参加队列以及参与同步交流的变量分别导致程序集成的差异。