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Resource Library

Guides. Briefs. Toolkits. Quick reference information. IDC and its partners created these data quality resources to help states better prepare to address their existing or emerging IDEA data quality needs. Use our search and filtering tools to navigate the library.

Resources 1 - 7 of 7

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    An IDC Resource

    Format: Guides and Briefs

    Parent Involvement Data: How to Measure and Improve Representativeness for Indicator B8

    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. 

    An IDC Resource

    Format: Quick Reference

    SPP/APR Indicator Sampling Plan Checklist

    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.

    An IDC Resource

    Format: Applications and Spreadsheets

    Nonresponse Bias Analysis Application

    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.

    An IDC Resource

    Format: Guides and Briefs

    Measuring Significant Discrepancy: An Indicator B4 Technical Assistance Guide

    The TA guide describes the methods a state might use to appropriately determine which of its districts has a significant discrepancy (including a significant discrepancy by race or ethnicity) in the rates of out-of-school suspensions and expulsions totaling greater than 10 days for children with disabilities.

    An IDC Resource

    Format: Toolkits

    SEA Data Processes Toolkit

    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. 

    An IDC Resource

    Format: Guides and Briefs

    The Assessment Data Journey: Are We There Yet?

    Data for Part B Indicator 3 follow a long and complicated process that begins when a student is registered as a test taker in a state assessment system and ends with public reporting via the SPP/APR. Multiple factors are involved in this process, and regular and ongoing communication and collaboration among the various people involved can make this process easier. This suite of four resources can help states with the work. The interactive infographic provides general information about the process for a typical state.

    An IDC Resource

    Format: Guides and Briefs

    State Determinations of Local Education Agency (LEA) Performance

    This resource provides a summary of findings from 28 states’ publicly available LEA determinations processes. States can use this resource to learn more about the data elements, calculation methodologies, and determination category criteria these 28 states used for making LEA determinations. This information can be particularly valuable for those states considering revisions and updates to their own LEA determinations processes.