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The presentation explored challenges that states and local regions face in accurately capturing Part C Exiting reasons. The IDC Part C Exiting workgroup has been developing a tool to assist with these challenges. The presentation was interactive, drawing on the experiences of new and seasoned data managers.

Validity is about more than results—it is determined by the question asked, the data collection design, and analysis. In this session, presenters led a discussion on what the data can, and cannot, say about outcomes, using examples from a selection of Part B and Part C indicators. Questions posed included: What is the difference between student outcomes and program performance? Can your data tell you which states, districts, or programs are performing better? What policy questions would you like to know about that your data currently cannot answer?

This presentation provides an overview of definitions, confidentiality provisions, and the latest regulatory changes under the FERPA and Part B of the IDEA. The presentation highlights similarities and differences in the requirements between the two statues.

The purpose of this presentation was to introduce PTI and CPRC directors and staff to the IDEA data collected and reported by state education agencies and discuss how these data can be used to inform many of the fourteen priority topics for the PTI/CPRC network. These priorities were  identified in the most recent OSEP requests for proposals for PTI and CPRC funding.

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.

The presentation focuses on the key aspects of planning for evaluation of the SSIP. Highlighted information includes the purpose of evaluation, setting the state for evaluation, the importance of focusing on outcomes, evaluation logic, and planning. Helpful handouts are included.

This online learning module provides a general overview of how the methods and design of data collection and analysis affect interpretation of the data. The module presents the different links in the data chain (e.g., defining the question, measurement strategy) and describes how each link contributes to quality of data and data analyses. The module also includes examples from a selection of Part B and Part C SPP/APR indicators to illustrate how each step in the data chain contributes to the integrity of the data and its interpretation