Analysis of institutional data for physics majors showing predictive relationships between required mathematics and physics courses in various years is important for contemplating how the courses build on each other and whether there is need to make changes to the curriculum for the majors to strengthen these relationships. We used 15 years of institutional data at a US-based large research university to investigate how introductory physics and mathematics courses predict male and female physics majors’ performance on required advanced physics and mathematics courses. We used structure equation modeling (SEM) to investigate these predictive relationships and find that among introductory and advanced physics and mathematics courses, there are gender differences in performance in favor of male students only in the introductory physics courses after controlling for high school GPA. We found that a measurement invariance fully holds in a multi-group SEM by gender, so it was possible...

中文翻译：

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对于物理专业的学生，​​入门物理学中的性别差异不会影响未来的物理表现

对物理学专业的机构数据进行分析以显示各年所需的数学课程与物理课程之间的预测关系，对于考虑课程之间的相互关系以及是否需要更改专业的课程以加强这些关系非常重要。我们使用了位于美国的一所大型研究型大学的15年机构数据，来研究入门物理和数学课程如何预测男女物理专业在必修高级物理和数学课程上的表现。我们使用结构方程模型（SEM）来研究这些预测关系，并发现在入门级和高级物理与数学课程中，在控制了高中GPA之后，只有在物理入门课程中，男生的表现存在性别差异。我们发现，按性别，测量不变性在多组SEM中完全成立，因此有可能...