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 29 - 32 of 32
This new resource can support SEA staff who prepare for the data systems and SPP/APR components of DMS 2.0. It includes a review of the Parts B and C—Data and SPP/APR Protocol along with IDC’s suggested evidence that an SEA may provide to OSEP in support of each monitoring question in the protocol. This resource also includes a list of IDC TA resources that states can use to create or strengthen their evidence.
Format: Quick Reference
Templates for Part B SPP/APR Stakeholder Involvement and Target SettingStates can use the Organizer Template for Part B SPP/APR Target Setting to briefly document information for consideration when setting new SPP/APR targets for all indicators in the FFYs 2020–25 SPP/APR collection. States can supplement this overview template with the Indicator Organizer for Part B SPP/APR Stakeholder Involvement and Target Setting, which is designed to capture more detailed information on stakeholder involvement in setting targets for individual SPP/APR indicators.
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.
Format: Quick Reference
Response Rate, Representativeness, and Nonresponse Bias—They All Matter!Response rate and representativeness are important terms in survey work. Consideration of both is necessary to ensure that collected data are valid and generalizable. This resource briefly defines and compares the terms while also explaining how they relate to nonresponse bias.
