Corpus ID: 15875944

Predicting High School Graduation and Dropout Using a Hierarchical Generalized Linear Model Approach

@inproceedings{Subedi2007PredictingHS,
  title={Predicting High School Graduation and Dropout Using a Hierarchical Generalized Linear Model Approach},
  author={B. R. Subedi},
  year={2007}
}
Introduction High school graduation and dropout are important outcome measures for the school systems. These outcome measures can be predicted using important variables or predictors that have day-today application in educational settings. Several researchers have predicted high school graduation and dropout using relevant predictors (see predicted high school graduation and dropout using background and demographic variables such as low grades, aggressive behavior, student poverty, and parents… Expand
Improving graduation rate estimates using regularly updated Markov chains
Improving graduation rate estimates using regularly updating Multi-Level Markov chains.

References

SHOWING 1-9 OF 9 REFERENCES
Student Mobility and the Increased Risk of High School Dropout
Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Applied Logistic Regression Analysis
Technical Guide for the 2005-2006 Florida High School Graduation Rate
  • Tallahassee, FL: Florida Department of Education. Retrieved from http://www.fldoe.org/eias/eiaspubs/pdf/gradgde.pdf
  • 2006
Technical Guide for the 2005-2006 Florida High School Graduation Rate. Tallahassee, FL: Florida Department of Education
  • FLDOE
  • 2006