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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 11

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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: Guides and Briefs

    Methods for Assessing Racial/Ethnic Disproportionality in Special Education

    This TA guide addresses the more common methods for calculating racial/ethnic disproportionality in special education. IDC revised the guide, which the Data Accountability Center (DAC) originally published in October 2011, because of a change in SPP/APR Indicators 9 and 10 to remove underrepresentation from the measure.

    An IDC Resource

    Format: Applications and Spreadsheets

    EDFacts IDEA Discipline Data Infographic

    The EDFacts IDEA Discipline Data Infographic provides basic information about the EDFacts file specifications states use to submit IDEA Discipline data to the U.S. Department of Education. The infographic outlines details about Discipline data for children and youth with disabilities ages 3 through 21 that states must include in their annual submission of EDFacts files FS005, FS006, FS007, FS088, FS143, and FS144. 

    An IDC Resource

    Format: Applications and Spreadsheets

    IDEA Data Quality: Outlier Analyses Tools

    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.