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IDEA allows, and sometimes requires, LEAs to use funds provided under IDEA Part B for CEIS students not identified for and receiving special education and related services. There are multiple data collection and reporting requirements associated with use of these funds for CEIS. IDC staff reviewed and led a discussion on how a diverse subset of states and their LEAs are working to meet those requirements.

The information provides guidance on developing an evaluation plan by differentiating implementation and impact. Topics addressed include translating theory of action into specific evaluation questions and possible formative and summative measures for evaluation. Helpful handouts are included.

This presentation focused on what is meant by the term “data quality” and provided information regarding the importance of high-quality data in the collection, reporting, and use of data in local and state decision making. Presenters shared actual examples from state experiences.

This role-alike presentation was a facilitated discussion by Part B Data Managers to explore strategies and solutions for meeting common challenges, such as working with LEAs to improve data quality, cross walking EDFacts data to SPP/APR indicators, and verifying that requirements for making data available to the public are fully met.

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).

Do you ever wonder what other states are doing to ensure high-quality data? Participants of this session learned about the work that the Kentucky Department of Education is undertaking to create data process protocols, build capacity of data stewards, and institute a culture of high-quality data. This work is being accomplished using the new IDC Data Processes Toolkit. Presenters provided an overview of the toolkit, and participants had an opportunity to experience “preparing for this work.”

In this webinar, which IDC staff presented for the University of Tennessee’s Boling Center for Developmental Disabilities, we first discuss the requirements in the IDEA related to disproportionality, describe methods for calculating disproportionality, and present data, both at the national level and for the state of Tennessee. The second part of the webinar introduces a research-based guidance document and self-assessment rubric designed to help schools and districts identify the root causes of "success gaps."