Resource Library

This updated resource contains basic information about IDEA data collections, data systems, and how to access resources for IDEA data.

IDC and the Partner Support Center (PSC) are both available to help states with IDEA Part B 618 data needs. However, each center has a different primary purpose. This resource helps guide states about contacting IDC or PSC when they have Part B 618 data questions or concerns. 

The Significant Disproportionality Calculator is a spreadsheet application that the IDEA Data Center (IDC) created to help 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. The accompanying user’s guide describes each worksheet within the calculator, formatting requirements, and instructions for using the calculator.

This resource is a list of IDC produced Part B tools and products arranged by topic area. The list provides a brief description and link to each tool or product. Users can quickly scan for useful tools and products to ensure that they have explored all of the many Part B available resources that IDC has produced.

The NRBA App is an interactive nonresponse bias application powered by state-of-the-art statistical software. We developed this application to help states examine their SPP/APR Indicator 8 and Indicator 14 data through nonresponse bias analysis. The NRBA App allows users to conduct reproducible analyses of response rates, representativeness, and nonresponse bias, tailored to their survey’s data collection method.

This new resource can support SEA staff who prepare for the data systems and SPP/APR components of DMS 2.0. It includes a review of the Parts B and C—Data and SPP/APR Protocol along with IDC’s suggested evidence that an SEA may provide to OSEP in support of each monitoring question in the protocol. This resource also includes a list of IDC TA resources that states can use to create or strengthen their evidence.

Response rate and representativeness are important terms in survey work.  Consideration of both is necessary to ensure that collected data are valid and generalizable.  This resource briefly defines and compares the terms while also explaining how they relate to nonresponse bias.