Site Search
Results 204 - 210 of 354
Format: Guides, Papers, and Reports
CEIS Practice GuideThe CEIS Practice Guide provides two scenarios each for voluntary CEIS and comprehensive CEIS. Each scenario describes an LEA’s implementation of voluntary or comprehensive CEIS and how the LEA or state could track the amount LEAs reserved for voluntary or comprehensive CEIS, the activities conducted using IDEA funds for voluntary or comprehensive CEIS, the target group of students, and ongoing student-level data about special education services. IDC and CIFR collaborated to develop the practice guide.
Format: Presentations
Moving From Theory to Action - MichiganThis state presentation describes Michigan's SIMR, Theory of Action, and approach to implementation.
Format: Presentations
Moving From Theory to Action - LouisianaThis state presentation describes Louisiana's SIMR, Theory of Action, and approach to implementation.
Format: Presentations
Moving From Theory to Action - PennsylvaniaThis state presentation describes Pennsylvania's SIMR, Theory of Action, and approach to implementation.
Format: Presentations
Understanding Data Quality in the Context of the State Systemic Improvement PlanDuring this session, the presenter applied IDC’s working principles of high-quality data to the SSIP. The presenter focused on applying the principles of data quality at each step in the SSIP evaluation.
Format: Presentations
Using the Part B Data System Framework to Improve Data System Capacity and Enhance Data QualityThis session introduced the IDEA Data Center Part B Data System Framework as a tool to guide development of a coherent approach to improving data quality and data systems. The overall purpose of the framework and accompanying products is to allow states to assess progress toward valid collection, analysis, use, and reporting of Part B IDEA data. The presenter also presented and described a companion data system graphic.
Format: Presentations
Beyond Data Submissions: Communicating Your Data to StakeholdersThis session focused on how to best communicate high-quality data by applying different strategies to prepare data for dissemination and use. Topics covered in this session included the importance of understanding the audience, how stakeholder needs can vary when understanding and interpreting data, why data governance is a key component in planning data communication activities, and why accessibility is important. This session highlighted sections of the Data Use component of the IDEA Data Center Part B Data System Framework.