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.
OSEP added four new data elements related to the LEA MOE provisions of IDEA in the MOE Reduction and CEIS data collection. This resource, produced by IDC and CIFR, discusses each of the four new data elements and provides additional support and assistance as states prepare to collect and submit these data.
This checklist will help state staff apply the principles of high-quality data to identify any data-quality issues that the state should report.
Developed jointly by IDC and CIFR, this practice guide provides examples of voluntary and comprehensive CEIS, including scenarios for providing professional development and providing CEIS over multiple years.
This is a spreadsheet application and accompanying user’s guide that helps states analyze their data, make determinations of significant disproportionality, and support local education agencies (LEAs) in their analysis of data for significant disproportionality at the school-level
This resource and PDF help states develop and report stakeholder engagement for FFY 2020–2025 SPP/APR. It includes 10 key questions and detailed options for building engagement plans and describing activities in SPPs/APRs.
This guide outlines key steps for developing a well-thought-out SSIP evaluation plan. It includes considerations for incorporating each step and provides worksheets corresponding to each step.
This handy chart outlines the differences between CCEIS and voluntary CEIS
This calendar lists monthly tasks for 618 data collection, helping states submit timely, accurate, and complete data. It addresses upcoming and previous submissions, aiding states in effectively planning their 618 data reports.
This updated IDEA Part B data collection consolidates essential information, including contacts, EDFacts due dates, 618 data timelines, quick links, acronyms, and SPP/APR indicator sources, useful for both new and experienced IDEA data managers.