1 / 29

Secondary Student Outcomes: A Focus on Early Leavers

Secondary Student Outcomes: A Focus on Early Leavers. Presented by Kelli Phythian Research Services, York Region District School Board October 6, 2010. Overview. Description of graduates and early leavers after 5 years Investigation of the factors that predict the odds of early leaving

efrat
Télécharger la présentation

Secondary Student Outcomes: A Focus on Early Leavers

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Secondary Student Outcomes: A Focus on Early Leavers Presented by Kelli Phythian Research Services, York Region District School Board October 6, 2010

  2. Overview • Description of graduates and early leavers after 5 years • Investigation of the factors that predict the odds of early leaving • Demographic characteristics • School achievement Research and Assessment Services, 2009

  3. Definitions • Graduates: Students who met the credit, EQAO and community service requirements for an OSSD, plus those who have been awarded an OSSD according to the graduation table. • Early Leavers: Students who, at the end of year 5, were not: • graduates (according to the definition above); • transfers (i.e., to another Board, province, or country); • continuers (i.e., returned to YRDSB the following year); or • deceased. Research and Assessment Services, 2009

  4. A Profile of Graduates and Leavers • Data are from two Grade 9 cohorts: 2001 and 2002. • Cohorts include students who were registered in Grade 9 as of November 1, 2001 and 2002. • Students were tracked over 5 years. • Analyses include only those students who had one of two outcomes over the five year period: graduation or early leaving Research and Assessment Services, 2009

  5. Secondary Outcomes Research and Assessment Services, 2009

  6. Demographic Characteristics of Graduates and Leavers: Gender Research and Assessment Services, 2009

  7. Demographic Characteristics of Graduates and Leavers: Special Education ID Research and Assessment Services, 2009

  8. Demographic Characteristics of Graduates and Leavers: Guardianship Research and Assessment Services, 2009

  9. Academic Characteristics of Graduates and Leavers: Credit Accumulation, Years 1 to 3 Research and Assessment Services, 2009

  10. Academic Characteristics of Graduates and Leavers: Credit Accumulation by Year Research and Assessment Services, 2009

  11. Academic Characteristics of Graduates and Leavers: Credit Accumulation at Exit Research and Assessment Services, 2009

  12. Academic Characteristics of Graduates and Leavers: Grade 6 EQAO Reading Research and Assessment Services, 2009

  13. Academic Characteristics of Graduates and Leavers: Grade 9 EQAO Math Research and Assessment Services, 2009

  14. Predicting the Probability of Leaving Early Logistic regression was used to predict the probability of leaving early based on Demographic characteristics Earlier achievement Controlling for gender Research and Assessment Services, 2009

  15. Predicting the Probability of Leaving Early: Special Education ID Research and Assessment Services, 2009

  16. Predicting the Probability of Leaving Early: Demographic Characteristics: Guardianship Research and Assessment Services, 2009

  17. Predicting the Probability of Leaving Early: Example of Cumulative Risk Research and Assessment Services, 2009

  18. Predicting the Probability of Leaving Early: Gender and Credit Accumulation Research and Assessment Services, 2009

  19. Predicting the Probability of Leaving Early: Gender and Number of Credits in Grade 9 Research and Assessment Services, 2009

  20. Predicting the Probability of Leaving Early: Gender and Number of Credits in Grade 10 Research and Assessment Services, 2009

  21. Predicting the Probability of Leaving Early: Gender and Grade 6 EQAO Reading Result Research and Assessment Services, 2009

  22. Predicting the Probability of Leaving Early: Gender and Grade 9 EQAO Math Result Research and Assessment Services, 2009

  23. Predicting the Probability of Leaving Early: Gender and Applied vs. Academic Research and Assessment Services, 2009

  24. Predicting the Probability of Leaving Early: Gender and Grade 9 Report Card, English Research and Assessment Services, 2009

  25. Predicting the Probability of Leaving Early: Gender and Grade 9 Report Card, Math Research and Assessment Services, 2009

  26. Predicting the Probability of Leaving Early: Gender and Grade 9 Report Card, Math Research and Assessment Services, 2009

  27. Predicting the Probability of Leaving Early: Gender and Grade 9 Attendance, Math Research and Assessment Services, 2009

  28. Predicting the Probability of Leaving Early: Gender and Grade 9 Attendance, English Research and Assessment Services, 2009

  29. Key Findings • Key predictors of early leaving include • Credit accumulation in grades 9 and 10 • Applied vs. academic program selection in grade 9 • Grade 9 English and Math grades • Grade 9 EQAO • Gender • Special education identification • Risk is cumulative Research and Assessment Services, 2009

More Related