Archived Resources
The Resource Library houses tools and products that were developed by IDC, developed with its collaborators, or submitted by IDC stakeholders. Search and filtering tools are available to help users navigate through the library.
Archived Resources 15 - 21 of 22
Format: Toolkits and Templates
Part C IDEA Data Processes ToolkitUsing the Part C 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. The toolkit contains an overview of the toolkit, Data Collection Protocols, SPP/APR Indicator Protocols, a State Landscape Protocol, a Local EI Program Determinations Protocol, a Data Collections Calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word, and states can tailor them meet their states' specific documentation needs.
Format: Presentations
State Policy and Local Implementation—Online Learning and SWDsFindings from IDC’s white paper and interviews of select states revealed that LEAs are responsible for determining LRE and implementation and monitoring of IEPs in online environments. Presentation of findings were followed by a panel discussion of states and LEAs to discuss key problems of practice and needs for resources that IDC can develop to support greater understanding of implications of online learning for SWDs and the relationship to high-quality data.
Format: Guides, Papers, and Reports
Examining Part C Exiting Data VariationUsing national averages for each of the exiting categories, this white paper helps state personnel examine differences in their Part C Exiting data. The paper explores Part C Exiting data category definitions, as well as general and specific trends in Part C Exiting data. It also includes suggestions for possible strategies to improve data quality, including clarifying policies and definitions, documenting procedures for implementation of policies, and developing training materials related to reporting exiting data.
Format: Presentations
New Significant Disproportionality Regulations WebinarThis webinar focused on key components of the new significant disproportionality regulations presented in §20 U.S.C. 1418(d) and 34 CFR §§300.646 and 300.647. The regulations require states to determine whether significant disproportionality based on race/ethnicity is occurring with respect to the identification of children as children with disabilities, including identification as children with particular impairments; placement of children in particular educational settings; and incidence, duration, and type of disciplinary actions, including suspensions and expulsions. Timeline for state compliance is July 1, 2018, and states must make significant disproportionality determinations using new methodology during SY 2018-19. The webinar highlighted new OSEP Significant Disproportionality Resources and included resources that comprise IDC's Disproportionality and Equity Resource Collection. The webinar was part of IDC's Discipline Peer-to-Peer Exchange.
Format: Checklists, Crosswalks, and Rubrics
IDEA Part C Confidentiality ChecklistThe IDEA Part C Confidentiality Checklist outlines the various confidentiality provisions of IDEA law in an easy-to-understand format in order to support agencies in complying with privacy and confidentiality provisions under IDEA Part C. The checklist also provides a means for documenting implementation practices states may need to follow or actions they may need to take to implement or improve implementation of the confidentiality provisions.
Format: Guides, Papers, and Reports
CEIS and CCEIS Example Scenarios for Tracking Fiscal and Child DataOSEP requires SEAs to report data on the LEAs that use IDEA funds for either CEIS or CCEIS through the IDEA Part B Maintenance of Effort (MOE) Reduction, CEIS, and CCEIS data submission. The purpose of this resource is to provide examples of how SEAs and LEAs can accurately track the funds used for CEIS and CCEIS and track the children who receive those services.
Format: Presentations
Planning for MOE and CEIS Fiscal and Student Data CollectionThis session covered the requirements to report the data, challenges for collecting the data, and resources available to help states with their MOE and CEIS data collection and submission. Presenters introduced several resources that states and LEAs can use to enhance the data collection and submission process.
