Data Analysis

The educational agency will use the Data Analysis Guiding Questions to review and analyze current data for each area below to determine specific areas of concern and need for improvement:

1. Graduation and dropout trends for students with disabilities vs. non-disabled, by disability category, and multi-category

2. Dropout prevention and graduation promotion

3. Reading and math performance

4. Discipline information: students with disabilities vs. non-disabled, by grade levels, trends, disability categories and multi-categories (disability, economically disadvantaged and racial minority, for instance)

5. Alternate Assessment for Students with Significant Cognitive Disabilities (AASCD)

6. Summary and trend analysis of Special Education Profile data

7. Dispute Resolution issues

8. Perception surveys from administration, teachers, parents and students

9. Internal monitoring process

10. Use of and access to technology

11. Inclusive leadership

12. Disproportionality

13. Restraint and seclusion

14. District-wide interventions and student supports

Once areas of need are identified, the Educational Agency will review Policies, Procedures and Practices for each area and capture the results on the Self Review Summary Report