2010 Articles
Grades and Graduation: A Longitudinal Risk Perspective to Identify Student Dropouts
Studies of student risk of school dropout have shown that current predictors of “at-risk” status do not accurately identify a large percentage of students who eventually dropout. Through the analysis of the entire grade 1-12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, this study extends past longitudinal conceptions of dropout to a longitudinal risk perspective, using survival analysis, life tables and discrete-time hazard modeling to appropriately account for student graduation, transfer or dropout. The risk of dropout began in grade 7, with the most hazardous years at grades 8 and 11. A novel calculation of teacher assigned grades, non-cumulative GPA, is identified as a strong predictor of student dropout.
Files
- Bowers_2010_Grades_and_Graduation_Discrete_Time_Hazrd_Model.pdf application/pdf 252 KB Download File
Also Published In
- Title
- The Journal of Educational Research
- DOI
- https://doi.org/10.1080/00220670903382970
More About This Work
- Academic Units
- Education Leadership
- Published Here
- September 3, 2013
Notes
KEYWORDS: Dropout, dropout prediction, graduation, at-risk, grades (scholastic), retention, survival analysis, discrete-time hazard modeling, logistic regression, longitudinal studies