Resource Library

This tool provides an overview of the public reporting requirements for IDEA Section 618 and processes for fulfilling the requirements. The tool annotates Section 618 legislation to name relevant data collections, file specifications documents, and user guides. Through a question-and-answer format, the tool highlights common processes and critical considerations to complete the requirements and points to external resources for further support.

IDC presents the SEA Edit Check and Data Display Tools for IDEA 618 Part B Data to help states prepare their Part B data submissions. States can use these tools to review the contents of their IDEA 618 EDFacts Part B personnel, exiting, discipline and child count and educational environment data for children ages 3–5 (FS089) and students ages 6–21 (FS002) prior to submission to the EDFacts Submission System or ESS. The tools apply edit checks and identify potential errors in subtotals or totals in the data files. In addition, the tools provide user-friendly summaries of the 618 data. The tools are enhanced versions of the SEA Edit Check and Data Display Tools for personnel, exiting, discipline, and child count and educational environment data. The main difference is the enhanced edit check tools require states to directly copy and paste the EDFacts data files they will submit to ESS as opposed to manually entering data into an Excel file in a format that is different than the one required for submission to ESS.

IDC and CIFR  developed the SEA Edit Check and Data Display Tool - Part B MOE and CEIS to help states prepare their Part B MOE and CEIS data submission. States can use the tool to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP.  The tool allows states to input LEA-level data into the base data tab and generates edit check messages that the tool displays in the auto-calculations tab. IDC and CIFR updated the MOE and CEIS edit check tool with the revised reporting years and to reflect updates to three edit checks. 

IDC's SEA and LEA EDFacts Edit Check and Data Display Tools for assisting states as they prepare their Part B data submissions. States can use the tools to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. Several of the tools are updated versions of the DTS originally published by (DAC), and this resource includes a zip file of 508 accessible versions of those tools. The MOE and CEIS Edit Check and Data Display Tools that IDC and CIFR developed allows states to input LEA-level data into the base data tab and generates edit check messages that are displayed in the auto-calculations tab.

Using the SEA IDEA 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. 

Episode 10

Release Date: October 13, 2022
Guests: Alyssa Kramer, Special Education Regional Coordinator, North Dakota Department of Public Instruction; and Traci Tuttle, Part B Data Management Coordinator, West Virginia Department of Education

At some point, every one of us has been new at something. A hobby. A job. A relationship. On this episode of A Date with Data, host Amy Bitterman talks about first steps and initial impressions with the North Dakota Department of Public Instruction’s Alyssa Kramer and Part B data management coordinator with the West Virginia Department of Education, Traci Tuttle. From internal data collection and reporting to strategies for other new data managers, together Alyssa and Traci discuss tips, resources, and EDFacts file specifications, all from the newbie perspective. Whether you’re a rookie listener or seasoned veteran, this is one play-by-play you won’t want to miss.

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.