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Format: Presentations
What to Know About High-Quality Discipline DataThis session reviewed the working principles of high-quality IDEA data as they relate to the various discipline data states must submit each year for children and youth with disabilities. Discussion topics included how states make sure their data are accurate, timely, and complete. Presenters also discussed how states maintain discipline data security while making the data accessible and usable.
Format: Presentations
Planning for MOE and CEIS Fiscal and Student Data CollectionThis session covered the requirements to report the data, challenges for collecting the data, and resources available to help states with their MOE and CEIS data collection and submission. Presenters introduced several resources that states and LEAs can use to enhance the data collection and submission process.
Format: Presentations
Step by Step: Overcoming Challenges by Documenting MOE Reduction and CEIS ProcessesThis workshop explored the benefits of documenting MOE Reduction and CEIS processes for collecting and submitting data to OSEP. Presenters described some of the common challenges that SEAs face with these data. States shared the steps in their processes, who is responsible for the processes, what methodologies they use to collect and review data, and how they consistently validate and report the data.
Format: Applications and Spreadsheets
Business Rules Documentation ProtocolThe Business Rules Documentation Protocol is a customizable Excel template that states can use for documenting, recording, and communicating existing business rules or data quality validation checks they perform during the collection and validation of IDEA Part B data.
Format: Applications and Spreadsheets
Data Sources for Calculating Significant DisproportionalityData Sources for Calculating Significant Disproportionality provides a summary of the data needed to calculate significant disproportionality for identification, placement, and discipline. For each category of analysis, this resource provides a description of the data needed to calculate the risk numerator and risk denominator, and notes the relevant EDFacts file specifications, including which subtotals or category sets, as appropriate.