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: Quick Reference
SPP/APR Indicator Sampling Plan ChecklistStates are allowed to use sampling for collecting data for select Part B State Performance Plan/Annual Performance Report indicators. Sampling can provide an effective means for targeting resources for data collection and improving data quality. However, there are important requirements that states must consider when designing and implementing their sampling plans. States can use this interactive self-assessment tool to determine whether their state’s sampling plan addresses Office of Special Education Programs sampling requirements for best practice and to identify action steps to improve their sampling procedures.
Format: Quick Reference
SPP/APR Indicator CardThe SPP/APR indicators measure child and family outcomes as well as compliance with the requirements of IDEA. This quick-reference resource from IDC includes a list and brief definition of all the Part B FFY 2020–2025 SPP/APR indicators (including the new Indicator 18!), as well as a list of file specifications associated with each of the seven IDEA 618 data collections, all in one convenient package.
Format: Quick Reference
Due Dates for SY 2022-23 IDEA DataIDC updates this list of EDFacts Submission System (ESS) files and EMAPS submissions due dates for SY 2022-23 so you don't have to! Download it and pin it to your refrigerator where it'll help you stay cool.
Format: Quick Reference
Checklist to Identify and Address SSIP Data Quality IssuesIn State Performance Report/Annual Performance Plan (SPP/APR) reports, states are required to identify data quality issues that may have arisen during their Indicator 17 State Systemic Improvement Plan (SSIP) work. Using this checklist can help state staff who are responsible for the SSIP apply the principles of high-quality data to identify any data quality issues that the state should report. The checklist includes questions that states can ask themselves to recognize data quality issues that may exist. It provides potential consequences of the issues and offers suggested actions that states can take to address the issues.
