Resource Library
Guides. Briefs. Toolkits. Quick reference information. IDC and its partners created these data quality resources to help states better prepare to address their existing or emerging IDEA data quality needs. Use our search and filtering tools to navigate the library.
Resources 1 - 4 of 4
Format: Applications and Spreadsheets
IDEA Data Quality: Outlier Analyses ToolsIDC designed these two technical assistance products to be used by state personnel responsible for IDEA 618 and/or 616 data. The products include a step-by-step guide on completing an outlier analysis, with a brief introduction on the principles of outlier analyses, and a tool state staff can use to conduct outlier analyses with their local data. IDEA Part B state staff working with LEAs also can use both products to analyze their local 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.
Format: Applications and Spreadsheets
LEA EDFacts Edit Check and Data Display ToolsThe LEA EDFacts Edit Check and Data Display Tools allow states to identify potential business rule errors or errors in category sets, subtotals, or totals prior to submitting the data to OSEP via the EDFacts Submission System. The tool also provides states with user-friendly data summaries.