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Format: Presentations
A Review of State Approaches to IDEA Reporting of Coordinated Early Intervening Services (CEIS)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.
Format: Presentations
Moving Data Quality Downstream - Building a Culture of Data Quality at the LEA LevelPresenters 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.
Format: Presentations
Data Mining Section 618 Data to Prepare the APRThe 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).
Format: Presentations
Visualizing IDEA DataIDC staff provided an introduction to data visualization approaches that are particularly useful for presenting IDEA data for the public. Participants learned simple strategies, chart types, and report styles that can be used to visualize the state’s data using Microsoft Excel, PowerPoint, and free online tools. Presenters also provided a set of activities so participants can continue developing their capacity in follow-up to the interactive institute.
Format: Presentations
Data Managers: Sharing Strategies and Solutions for Common ChallengesThis 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.
Format: Presentations
Using Compliance Data for Program ImprovementIt can be challenging to bridge the huge shift from a focus on solely compliance-driven data to an emphasis on results-driven monitoring. Compliance data can be hard and fast; results-driven data can be harder to pin down. This topical burst provided an overview of compliance data, the interrelationship between compliance and results data, and existing processes that can help bridge the gap between accountability and program improvement.
Format: Presentations
Collecting High-Quality Data: Why It Is ImportantThis 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.