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Exploring the Utility of Advanced Placement Participation and Performance in College Admission Decisions

机译：在大学录取决策中探索高级分班参与和绩效的效用

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摘要

The current study evaluated the relationship between various operationalizations of the Advanced Placement? (AP) exam and course information with first-year grade point average (FYGPA) in college to better understand the role of AP in college admission decisions. In particular, the incremental validity of the different AP variables, above relevant demographic and academic variables, in predicting FYGPA was explored using hierarchical linear modeling. The AP variables of interest included the following: the number of AP exams the student took, the number of AP exams the student took and received a score of 3 or higher, the proportion of the number AP exams the student took out of the number AP courses offered at his or her high school, and his or her average AP score, highest AP score, and lowest AP score. Results showed that the AP predictor that most improved model fit was the average AP exam score. The final model that included multiple AP variables and most improved model fit included the average AP score, the number of AP exams the student took and received a score of 3 or higher, and the AP exam proportion (which had a negative relationship with FYGPA). These results are particularly relevant and timely for college admission and measurement professionals as AP course-taking information as opposed to AP exam score information tends to be more regularly factored into admission decisions if and when AP information is considered at all.
机译：当前的研究评估了高级配售的各种运营之间的关系。 （AP）与大学一年级平均分数（FYGPA）的考试和课程信息，以更好地了解AP在大学录取决定中的作用。特别是，使用层次线性模型探索了在相关人口和学术变量之上的不同AP变量在预测FYGPA方面的递增有效性。感兴趣的AP变量包括：学生参加的AP考试数量，学生参加并获得3分以上的AP考试数量，学生在AP总数中所占AP考试数量的比例他或她高中开设的课程，以及他或她的平均AP分数，最高AP分数和最低AP分数。结果表明，AP预测指标中，模型拟合度最大的改进是AP考试的平均分数。最终模型包含多个AP变量，并且模型拟合度得到了最大程度的改善，包括平均AP分数，学生参加并获得3分或更高分数的AP考试数量以及AP考试比例​​（与FYGPA负相关） 。这些结果对于大学入学和测量专业人士而言特别相关且及时，因为如果完全考虑了AP信息，则与AP考试分数信息相对应的AP选修信息往往会更规律地纳入入学决策中。

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