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 29 - 35 of 69
Format: Presentations
Using Data to Explore and Prepare for Expected Changes to Significant Disproportionality: What Should Your State Be Thinking About?To address the disparities experienced by minority students with disabilities, the U.S. Department of Education is proposing a new Equity in IDEA Rule. During this session, presenters used data examples to guide states through a series of questions regarding how the Notice of Proposed Rule Making might affect significant disproportionality calculations, analysis, and decision-making. Presenters also introduced IDC’s Success Gaps Toolbox, which can help states and local school districts in determining root causes of significant disproportionality.
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
SSIP Phase III: Operationalizing Your Evaluation PlanDuring this interactive role-alike workshop for SSIP Coordinators, the IDC Evaluation Team helped participants refine SSIP evaluation plans, identify action steps and timelines for implementing evaluation activities, and learn about resources that may be helpful in operationalizing their evaluation plans. For the 2016 Conference on Improving Data, Improving Outcomes held August 15-17, this workshop was conducted with an updated presentation and handout.
Format: Online Applications
Part C Exiting CountsIDC's Part C Exiting Counts app allows users to test their knowledge of the 10 Part C Exiting categories by either starting with a child scenario and deciding which reason and category best fit the scenario or starting with a reason and category and deciding which child scenario best fits that reason and category.
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.
