Including Results Data in General Supervision Systems
This IDEA Data Center (IDC) and National Center for Systemic Improvement (NCSI) joint webinar focused on learning from states that are working to meaningfully include student results or outcomes data in their general supervision systems. Presenters shared “lessons learned” from state work, including both important considerations for states that are in the planning stages, as well as for those actively engaged in centering results data in their accountability and support systems. Participants also heard how states can integrate data use as part of their general supervision system.
Format: Guides and BriefsIDEA Data Center Part B Data System Framework
The IDEA Data Center Part B Data System Framework is an overarching structure designed to support SEA staff responsible for working with and responding to IDEA Part B requirements related to the collection, analysis, use, and reporting of high-quality special education data. The framework contains broad concepts and principles that states can tailor to reflect their individual needs and approaches.
Format: TrainingsIncorporating Business Rules Into State Data Systems
The Incorporating Business Rules Into State Data Systems instructional video explores the different ways Part B and Part C state agencies can incorporate business rules into their IDEA state data collection and reporting systems.
Format: ToolkitsLEA Data Processes Toolkit
There is a continuous need for state education agencies (SEAs) and local education agencies (LEAs) to collect and report comprehensive, high-quality data and ensure they report data accurately and in a timely fashion. The customizable IDC LEA Data Processes Toolkit is a new instrument that can improve decisionmaking about children and youth with disabilities by ensuring data are of high quality and processes are clearly defined and documented, while also providing data staff a map for documenting data processes within local districts.
Format: Quick ReferenceResponse 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.
Format: ToolkitsSEA Data Processes Toolkit
Using the SEA IDEA Data Processes Toolkit to document data processes for all 616 and 618 data collections will establish a well-managed process for data collection, validation, and submission. In collaboration with IDC State Liaisons, states can use the toolkit to create and maintain a culture of high-quality data and establish and support consistent practices that produce valid and reliable data, while building the capacity of state staff.
Format: TrainingsThe Importance of High-Quality Data and the Role of Business Rules
The Importance of High-Quality Data and the Role of Business Rules instructional video provides a brief introduction to the concept of using business rules to promote and support the collection of high-quality data within state and local systems for IDEA Part B and C.