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: Guides and Briefs
Navigating Voluntary CEISUnderstanding voluntary coordinated early intervening services (CEIS) and its reporting requirements can be a challenge for SEAs and LEAs alike. To make these requirements easier to grasp, IDC designed this resource with practical examples drawn from state approaches to data collection and reporting.
Format: Guides and Briefs
Navigating Coordinated Early Intervening Services (CEIS) Frequently Asked Questions (FAQ)This FAQ document focuses on helping SEAs and LEAs understand CEIS and its reporting requirements. SEAs and LEAs can use the resource in conjunction with the OSEP Guidance Memo 08-09.
Format: Guides and Briefs
Collecting and Reporting the New Data Elements Related to the Local Education Agency Maintenance of Effort ProvisionsProduced by IDC and CIFR, this resource discusses each of the four new data elements OSEP is adding related to the LEA MOE provisions of IDEA in the MOE Reduction and CEIS data collection. The resource reviews each new element, presents information about actions the SEA may take to address and answer the questions posed for each of the four data elements, and provides additional support and assistance as states prepare to collect and submit these data.
Format: Guides and Briefs
Parent Involvement Data: How to Measure and Improve Representativeness for Indicator B8This interactive resource provides states with an overview on how to gather representative parent involvement data for Part B SPP/APR Indicator 8. The resource defines key concepts such as representativeness, sampling, nonresponse bias, response rates, and weighting. It also offers information on how to improve the quality of parent involvement data, including strategies that can help states collect representative data and evaluate and improve the representativeness of their data before, during, and after data collection.
