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 15 - 19 of 19
Format: Applications and Spreadsheets
Significant Disproportionality Calculator and User's GuideThe 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.
Format: Applications and Spreadsheets
Survey Response Analysis AppThe Survey Response Analysis App (SRA App) is an interactive application powered by state-of-the-art statistical software IDC designed to help states examine their SPP/APR Indicator 8 and Indicator 14 data. The SRA App allows users to conduct reproducible analyses of response rates, representativeness, and nonresponse bias, tailored to their survey’s data collection method.
Format: Trainings
The Importance of High-Quality Data and the Role of Business RulesThe 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.
Format: Trainings
Incorporating Business Rules Into State Data SystemsThe Incorporating Business Rules Into State Data Systems instructional video explores the different ways Part B and Part C state agencies can incorporate business rules into their IDEA state data collection and reporting systems.
Format: Trainings
ii20 Session Presentations and HandoutsThe Interactive Institutes 2020 – Building and Sustaining a Culture of High-Quality Data provided opportunities for participants to take a deep dive into data quality topics to learn about data culture change. Participants were able to discover best practices to improve data collection, reporting, analysis, and use. They also engaged with peers and TA providers about trending data quality topics. Each session presented powerful ideas and actionable plans to improve work processes and data quality.
