Affiliation:
1. Kentucky Council on Postsecondary Education, Frankfort, KY, USA
Abstract
Mathematics is the most common subject area of remedial need and the majority of remedial math students never pass a college-level credit-bearing math class. The majorities of studies that investigate this phenomenon are conducted at community colleges and use some type of regression model; however, none have used a continuation ratio model. The purpose of this study was to assess student persistence through the remedial math sequence and successfully passing a college-level credit-bearing math course using binary, cumulative, and continuation ratio logistic regression models at 2- and 4-year public institutions. Findings showed the pre-algebra grade was the strongest predictor of completing each course in the remedial sequence and passing a college-level credit-bearing math class. Also, continuation ratio logistic regression provided methodological advantages over binary and cumulative logistic regression.
Cited by
2 articles.
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1. Effect of Technology Integration on Middle School Math Proficiency: A Multiple Linear Regression Study;International Journal of Education in Mathematics, Science and Technology;2021-10-02
2. Delayed Start for a Shortened Remedial Mathematics Course;Journal of College Student Retention: Research, Theory & Practice;2016-11-25