Resource Library

This interactive resource provides states with an overview on how to gather representative parent involvement data for Part B SPP/APR Indicator 8. The resource defines key concepts such as representativeness, sampling, nonresponse bias, response rates, and weighting. It also offers information on how to improve the quality of parent involvement data, including strategies that can help states collect representative data and evaluate and improve the representativeness of their data before, during, and after data collection. 

States are allowed to use sampling for collecting data for select Part B State Performance Plan/Annual Performance Report indicators. Sampling can provide an effective means for targeting resources for data collection and improving data quality. However, there are important requirements that states must consider when designing and implementing their sampling plans. States can use this interactive self-assessment tool to determine whether their state’s sampling plan addresses Office of Special Education Programs sampling requirements for best practice and to identify action steps to improve their sampling procedures.

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.

IDC designed these two technical assistance products to be used by state personnel responsible for IDEA 618 and/or 616 data. The products include a step-by-step guide on completing an outlier analysis, with a brief introduction on the principles of outlier analyses, and a tool state staff can use to conduct outlier analyses with their local data. IDEA Part B state staff working with LEAs also can use both products to analyze their local data.

The Success Gaps Toolkit presents a process for using data and the Success Gap Rubric to identify root causes of gaps between groups of children in districts or schools. These success gaps occur when the education system is not meeting the needs of all groups of children and outcomes for some groups are different than outcomes for most groups. The toolkit, with its process and materials, provides a manageable and defined way for districts or schools to identify success gaps that are present and their root causes and then make a plan for addressing the gaps. The success gaps may be the graduation rate of students who are English learners compared to the rate of all other children, the out-of-school suspension rate of children who are Black compared to the rate of all other children, the identification of children who are Hispanic as children with specific learning disabilities compared to the identification of all other children, and other gaps.

Using the SEA 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 Importance of High-Quality Data and the Role of Business Rules instructional video provides a brief introduction to the concept of using business rules to promote and support the collection of high-quality data within state and local systems for IDEA Part B and C.