The purpose of this study was to explore high school course-taking sequences and their relationship to college enrollment. Specifically, we implemented sequence analysis to discover common course-taking trajectories in math, science, and English language arts using high school transcript data from a recent nationally representative survey. Through sequence clustering, we reduced the complexity of the sequences and examined representative course-taking sequences. Classification tree, random forests, and multinomial logistic regression analyses were used to explore the relationship between the course sequences students complete and their postsecondary outcomes. Results showed that distinct representative course-taking sequences can be identified for all students as well as student subgroups. More advanced and complex course-taking sequences were associated with postsecondary enrollment.

中文翻译：

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深入研究学生的成绩单：高中课程学习顺序和高等教育入学

本研究的目的是探讨高中选课顺序及其与大学入学率的关系。具体来说，我们使用最近一项全国代表性调查的高中成绩单数据，实施了序列分析，以发现数学、科学和英语语言艺术方面的常见课程学习轨迹。通过序列聚类，我们降低了序列的复杂性并检查了具有代表性的选课序列。使用分类树、随机森林和多项逻辑回归分析来探索学生完成的课程序列与其高等教育成果之间的关系。结果表明，可以为所有学生以及学生子组确定不同的代表性课程学习顺序。