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Format: Applications and Spreadsheets
IDEA Data Quality: Outlier Analyses ToolsIDC designed these two technical assistance products to be used by state personnel responsible for IDEA 618 and/or 616 data. The products include a step-by-step guide on completing an outlier analysis, with a brief introduction on the principles of outlier analyses, and a tool state staff can use to conduct outlier analyses with their local data. IDEA Part B state staff working with LEAs also can use both products to analyze their local data.
Format: Presentations
618 Data—What’s That? Getting to Know Your 618 DataHave you heard these terms 618, 616, EDFacts, EMAPS, file specifications, OMB-MAX, GRADS360, Data Quality Reports? Do you understand what they are referencing? Do you want to gain a higher knowledge of these terms? Participants in this presentation learned more about IDEA data reporting requirements in relation to the 618 data collections. They also learned about data quality considerations and tools states can use when going through the data collecting and reporting procedures.
Format: Presentations
MOE and CEIS Data Reporting and Quality Tools and TipsIDC and CIFR staff presented an overview of tools available to states and LEAs around LEA MOE and CEIS requirements and data quality. They also presented information on considerations states and LEAs need to keep in mind in relation to the MOE and CEIS requirements and data quality. One state presented information about the policies, procedures, practices, and tools/ templates it has in place to ensure LEAs meet the LEA MOE and CEIS requirements and improve data quality. The state staff also discussed their work with CIFR around the LEA MOE calculator.
Format: Toolkits
SEA Data Processes ToolkitUsing the SEA 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: 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: 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: Quick Reference
A Comparison of Mandatory Comprehensive Coordinated Early Intervening Services (CCEIS) and Voluntary Coordinated Early Intervening Services (CEIS)In December 2016, OSEP finalized new regulations on significant disproportionality (34 CFR §300.646). These regulations enforce the use of IDEA funds for mandatory CCEIS, which LEAs provide upon identification of significant disproportionality, and distinguish use of funds for CCEIS from the use of IDEA funds for voluntary CEIS. This resource is a handy chart that outlines the differences between CCEIS and voluntary CEIS.