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Activity Number: 340 - SPEED: SPAAC SESSION III
Type: Topic-Contributed
Date/Time: Thursday, August 12, 2021 : 10:00 AM to 11:50 AM
Sponsor: Section on Statistics and Data Science Education
Abstract #317781
Title: Does Participation in Advanced High-School Math Courses Predict Postsecondary Enrollment?
Author(s): Erin R. Twomey-Wilson*
Companies: The College Crusade of Rhode Island
Keywords: Categorical Data Analysis; Contingency Table Analysis; Logistic Regression; Estimated Odds; Chi-squared Tests of Independence; Estimated Probability
Abstract:

The College Crusade of Rhode Island’s mission is to prepare and inspire young people in the state to become the first in their families to attend and complete college. As Rhode Island’s most comprehensive college access and success program, the relationship between advanced math courses and college enrollment is a major focus area of our work. We hypothesize that program participants who complete more advanced math courses during their final year of high school will have higher probabilities of enrolling in college. Categorical data analysis was conducted using logistic regression, estimated odds, estimated probability, Pearson chi-squared statistic, and the likelihood-ratio statistic. We observed that program participants who take advanced math courses in high school have a higher probability of enrolling in college. These results provide useful information in ongoing efforts to increase the numbers of low-income and first-generation students who successfully enroll in college.


Authors who are presenting talks have a * after their name.

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