1. What’s New in the IDC Part C Exiting Data Toolkit
Improving data, improving outcomes
Aug , 2016
Haidee Bernstein, IDC
Siobhan Colgan, IDC
Luis Romero, IDC

2. Overview of Part C Exiting Requirements
Part of the Section 618 data collection
Collected annually in November on children who left the Part C program
Grouped into 3 reasons and 10 categories:
Program completion (1 category)
Exit at age 3 (5 categories)
Not receiving services (4 categories)

3. The Part C Exiting Categories
No longer eligible for Part C prior to reaching age three
Part B eligible, exiting Part C
Part B eligible, continuing in Part C
Not eligible for Part B, exit with referrals to other programs
Not eligible for Part B, exit with no referrals
Part B eligibility not determined
Deceased
Moved out of state
Withdrawal by parent (or guardian)
Attempts to contact the parent and/or child were unsuccessful

4. Goal of the Toolkit
The Part C Exiting Data Toolkit is designed to assist states in reporting high-quality Part C exiting data. The major goals are to assist state and local agency staff to:
Understand Part C exiting data hierarchy of categories;
Stimulate discussions of challenges and solutions in each state;
Provide queries to confirm accuracy checks of exiting data; and
Understand variation in use of categories across and within states.

5. Why is it important to understand the Part C Exiting data?
States are required to report accurate and complete Part C Exiting data to the Secretary of Education.
OSEP needs accurate and complete data for reporting in Annual Report to Congress.
Accurate Part C Exiting data provide insight on referral and exiting patterns.
Accurate information on children exiting Part C informs the provision of services in both Part C and Part B.

6. Why is it important to understand the Part C Exiting data? (cont.)
Examination of Part C Exiting data provides a context for understanding child progress that may have resulted from Early Intervention.
Part C Exiting data may serve as a data check for child outcomes data and may inform local transition policies.
Understanding the factors that influence variation in Exiting data can inform data quality improvements.

7. Overview of the Part C Exiting Data Toolkit
Currently there are four sections:
The 10 Part C exiting categories
Definitions, specific and general challenges with potential solutions, and state variation for each category
Data checking patterns to assist state agency staff locate irregularities in their data patterns; and
Categories with child-level examples

8. In the Works: Two new sections of the toolkit:
Section 5: Part C Exiting Variation that will explore variation among Part C exiting categories as reported by the 50 states and DC
An APP that will allow users game to move easily between OSEP approved scenarios and Part C exiting reasons and categories
OSEP-Approved
Scenarios
Exiting Reasons and Categories

9. Proposed Section 5 Part C Exiting Data Variation

10. Under Development: Section 5 Variation in Part C Exiting Data
The purposes
Explore national variation among exiting data categories
Propose possible improvements in data quality
The process
National data analysis and graphing
Focus group with state outliers*
Explaining variation among states
Identifying potential solutions
* Territories/ jurisdictions were excluded as outliers

11. The National Data: FFY 2013

12. Explaining Variation in the Data
Common issues identified by states
Implementation
Interpretation
Documentation
Some variation is expected.
Some variation may indicate data quality issue(s).

13. Possible Explanations of Variation in Specific Categories
High incidence of family mobility
Differences in eligibility and reassessment policies
Referrals and availability of community services
Part C to Part B connections vary
Communication
Data sharing
Verification of B eligibility
Parent co-pays and parent satisfaction

14. Improving Part C Exiting Data Quality
Common strategies identified by states
Use consistent time frame
Improve documentation
Identify key staff
Provide ongoing training
Develop unique child identification numbers
Develop and use data checks
State level
Local level
With Part B

15. Improving Data Quality: Connecting Part C and Referral to Part B
Strategies identified by states
Improve communication between C and B
Share C transition and B eligibility processes
Develop data sharing agreements
Implement data checks

16. Improving data quality: Parents moved, withdrawn, unable to be contacted
Strategies identified by states
Add mechanisms to track children’s movement within state data system
Establish clear guidance on contacting families
Improve training on differentiating between similar categories

17. Discussion: Data Variation
Do you examine your Part C Exiting data for trends?
Among local programs or districts
Longitudinally
Comparing to other similar states
What resources on exiting data have you found helpful?
Training
Data checks

18. Overview of the APP Being Developed
The APP will be in computer and tablet formats.
Users will be able to view:
Decision tree
EMAPS definitions
Child scenarios
Interactive format

19. Decision Tree

20. Let’s Check It Out!

21. IDC Scenarios and State Scenarios
Share IDC scenarios
Share state scenarios

22. Final Thoughts
How can you use these materials at the state and local levels?
Are other Part C Exiting resources needed?

23. For More Information Visit the IDC website http://ideadata.org/
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24. The contents of this presentation were developed under a grant from the U.S. Department of Education, #H373Y However, the contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government. Project Officers: Richelle Davis and Meredith Miceli