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.

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.

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.

Presenters and participants discussed strategies that SEAs can use to help LEAs in collecting section 618 and other state-required data that is of high-quality. They explored IDC’s Knowledge Lab that lists various resources around different data collections. The Knowledge Lab contains many resources designed to help SEAs and LEAs gather, collect, validate, and report high-quality data. The discussion allowed for state input on how the state uses or can use these resources.

Are you curious about what it might take to integrate your agency’s IDEA Part B data with other SEA data systems like a longitudinal data system? During this session, CIID staff provided a quick overview of the major steps required to integrate state-level data systems using the CIID Data Integration Toolkit.

The required measurements for APR Indicators B3, B4, B5, B6, B9, and B10 (the assessment, discipline, LRE, and disproportionality indicators) are based on Section 618 data. This session focused on selected section 618 data submissions and how the data can be explored to provide more in-depth information for use in discussion with state’s APR stakeholders. Presenters demonstrated some practical methods for taking a deeper look at data in the IDEA EDFacts file submissions using readily available data analysis tools (Microsoft Excel).