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 1 - 4 of 4
Format: Presentations
What to Know About High-Quality Discipline DataThis session reviewed the working principles of high-quality IDEA data as they relate to the various discipline data states must submit each year for children and youth with disabilities. Discussion topics included how states make sure their data are accurate, timely, and complete. Presenters also discussed how states maintain discipline data security while making the data accessible and usable.
Format: Presentations
Using State Data to Inform Parent Center WorkThe purpose of this presentation was to introduce PTI and CPRC directors and staff to the IDEA data collected and reported by state education agencies and discuss how these data can be used to inform many of the fourteen priority topics for the PTI/CPRC network. These priorities were identified in the most recent OSEP requests for proposals for PTI and CPRC funding.
Format: Applications and Spreadsheets
Spreadsheet Application for Calculating Disproportionality Measures and User’s GuideStates can use the Excel spreadsheet application for calculating disproportionality measures and accompanying user's guide in their assessment of racial/ethnic disproportionality. The spreadsheet application calculates several disproportionality measures and the User’s Guide provides instructions for using the spreadsheet application.
Please note this resource is currently not 508 accessible. If you need assistance with the use of this resource, please contact us at www.ideadata.org.
Format: Online Applications
The Uses and Limits of Data: Supporting Data Quality With a Strong Data ChainThis online learning module provides a general overview of how the methods and design of data collection and analysis affect interpretation of the data. The module presents the different links in the data chain (e.g., defining the question, measurement strategy) and describes how each link contributes to quality of data and data analyses. The module also includes examples from a selection of Part B and Part C SPP/APR indicators to illustrate how each step in the data chain contributes to the integrity of the data and its interpretation
