Archived Resources

Montana and Arkansas Part B Data Managers presented how they conduct their post-school outcomes (Indicator B14) surveys and how they have been able to increase their response rates over four years. They discussed what has worked for them, what they have learned along the way, and how they can now use these data as a part of their SSIP analysis.

The 2015 SPP/APR Indicator Analyses for Part B presents a national quantitative picture of the implementation of Part B of IDEA based on a review of information 60 states and jurisdictions reported in their FFY 2013 Annual APRs. For the purposes of the report, the term “state” is used for both states and territories. The report, which covers Part B Indicators 1 through 17, can be downloaded in Word format.

This webinar highlighted the IDEA state reporting requirements for early childhood transitions for both Part C and Part B, found in the SPP/APR Part C Indicator 8 and Part B Indicators 11 and 12. Participants shared resources related to transition, data collection, and reporting, as well as the use of both Part C and Part B data to facilitate high quality transitions. North Dakota's Part C coordinator and data manager and Montana's 619 coordinator and data manager described how their states collect and use transition data to ensure smooth transitions for all young children as they turn three and move from early intervention services to preschool 619 services.

This matrix is both a standalone product and the fourth section of the IDEA Data Center Part C Exiting Data Toolkit. It contains scenarios for each of the 10 exiting categories. The Part C Exiting Data Toolkit is designed to assist states in reporting high-quality Part C exiting data, required under Section 618 of IDEA. The remaining three sections in the Part C Exiting Data Toolkit are: Part C Exiting Reasons and Categories (Section 1); General Challenges and Potential Solutions (Section 2, Part 1); Specific Challenges, Potential Solutions, and Variation (Section 2, Part 2); and Data Check Patterns and Additional Data Check Patterns to Ensure Non-Duplicated Counts of All Eligible Exiting Children (Section 3).

This topical burst suggests guidance and tips for creating data products for local staff and ways to promote a culture of high-quality data and data use at the local level.

The webinar featured the purpose and history of the Annual Report to Congress on the Implementation of the Individuals with Disabilities Education Act, its current organization and content, links to the report and its data sources, and suggestions for how participants can use the report. The webinar was designed so that participants would have a greater understanding of why it is important to work to improve the quality of IDEA-related data by seeing how the U.S. Department of Education uses IDEA data to meet an annual statutory requirement to report to Congress;. In addition, it was designed to help participants become familiar with a key resource on state and national IDEA data and related information and prompt them to think about how they might use the resource.

During this interactive workshop, the IDC Evaluation Team helped participants find new ways to measure infrastructure changes and build on what is already being done in the state with data and evaluation. Participants also learned about new resources for evaluating infrastructure changes. For the 2016 Conference on Improving Data, Improving Outcomes held August 15-17, the content of this workshop was updated as Evaluating Infrastructure Changes: Tracking Improvement Strategies and Identifying Outcomes, along with an updated handout and resource guide.