• Assessment

    • Assessment Interactive Map (AIM)

      Assessment Interactive Map (AIM)

      IDEA Program: Part B

      Login required to access this tool.

      This interactive map provides data for each state and territory from the 2013–14 and 2014–15 school years. Data will be updated yearly. The data were collected from a range of sources, including state department of education websites and U.S. Department of Education websites. The map allows users to view, in one place, a range of publicly reported data relating to state content standards and assessments, Part B indicator 3, and Part B Results-Driven Accountability matrices (2013 and 2014). It is hoped that states will use this information as a starting point for collaborating on ways to improve results for children and students with disabilities.

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    • 618 Data Pre-submission Edit Check Tools

      618 Data Pre-submission Edit Check Tools

      IDEA Program: Part B, Part C

      IDC presents 618 Data Pre-submission Edit Check Tools for assisting states prepare their Part C and 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 Pre-submission Edit Check tool 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..

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  • Data Managers Quick Reference

    • IDEA Data Training Modules

      IDEA Data Training Modules

      The IDEA Data Training modules provide information required for the completion of the IDEA 618 data submissions and relevant APR indicators. The modules are separated into eight sections for Part B and five sections for Part C. These sections discuss submission methods, types of submissions, APR indicators, public reporting, and technical assistance.

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    • Assessment Interactive Map (AIM)

      Assessment Interactive Map (AIM)

      IDEA Program: Part B

      Login required to access this tool.

      This interactive map provides data for each state and territory from the 2013–14 and 2014–15 school years. Data will be updated yearly. The data were collected from a range of sources, including state department of education websites and U.S. Department of Education websites. The map allows users to view, in one place, a range of publicly reported data relating to state content standards and assessments, Part B indicator 3, and Part B Results-Driven Accountability matrices (2013 and 2014). It is hoped that states will use this information as a starting point for collaborating on ways to improve results for children and students with disabilities.

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    • B6 Data Reporting Tools: Educational Environments, Ages 3-5

      B6 Data Reporting Tools: Educational Environments, Ages 3-5

      IDEA Program: Part B - 619

      The Reporting Educational Environments toolkit provides training and technical assistance resources to assist states in accurately reporting Educational Environments data for children ages 3-5 with disabilities as required for the OSEP Child Count and SPP/APR Indicator 6. States can use the toolkit materials as “stand-alone” guides or as a set.

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    • EDFacts IDEA Discipline  Data Infographic

      EDFacts IDEA Discipline Data Infographic

      IDEA Program: Part B

      IDC's EDFacts IDEA Discipline Data Infographic provides basic information about the six EDFacts files used to submit IDEA discipline data to the U.S. Department of Education.

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    • IDC and PSC: Whom do I call and when?

      IDC and PSC: Whom do I call and when?

      IDEA Program: Part B, Part C

      This document clarifies the services IDC provides in contrast to the services the PSC provides. It presents examples of when states should contact their IDC State Liaisons with IDEA Part B and Part C 618 data issues and when they should contact PSC.



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    • IDEA Data Training Modules

      IDEA Data Training Modules

      IDEA Program: Part B, Part C

      The IDEA Data Training modules provide information required for the completion of the IDEA 618 data submissions and relevant APR indicators. The modules are separated into eight sections for Part B and five sections for Part C. These sections discuss submission methods, types of submissions, APR indicators, public reporting, and technical assistance.

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    • IDEA Part B Confidentiality Checklist

      IDEA Part B Confidentiality Checklist

      IDEA Program: Part B

      The IDEA Part B Confidentiality Checklist outlines the various confidentiality provisions of IDEA law in an easy-to-understand format in order to help state and local agencies comply with privacy and confidentiality provisions under IDEA Part B. The checklist also provides a means for documenting implementation practices or actions needed to implement or improve the implementation of the confidentiality provisions.

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    • IDEA Section 618 Public Reporting Data Element Checklists

      IDEA Section 618 Public Reporting Data Element Checklists

      IDEA Program: Part B, Part C

      These interactive checklists assist states to meet IDEA Section 618 public reporting requirements. The checklists also have an archiving function to document the posting process for later reference.

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    • Navigating Coordinated Early Intervening Services (CEIS) White Paper

      Navigating Coordinated Early Intervening Services (CEIS) White Paper

      IDEA Program: Part B

      This technical assistance document focuses on helping SEAs and LEAs better understand CEIS and its reporting requirements. It also provides examples of various data collection and reporting methods states use to collect and report CEIS data.

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    • New Data Manager Welcome Toolkit and 2016 Due Date List

      New Data Manager Welcome Toolkit and 2016 Due Date List

      IDEA Program: Part B, Part C

      This toolkit provides an introduction to IDC for new Data Managers. It contains advice on getting started in their new roles and whom to contact, as well as a list of helpful links, commonly used IDEA acronyms, and a list of 618 data collection due dates.

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    • Section 618 Public Reporting Requirements

      Section 618 Public Reporting Requirements

      IDEA Program: Part B, Part C

      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.

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    • Summary of State Policy on Online Learning

      Summary of State Policy on Online Learning

      IDEA Program: Part B

      This white paper provides a snapshot of selected state policies and guidance pertinent to online learning and educational environments for students with disabilities.

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    • 618 Data Pre-submission Edit Check Tools

      618 Data Pre-submission Edit Check Tools

      IDEA Program: Part B, Part C

      IDC presents 618 Data Pre-submission Edit Check Tools for assisting states prepare their Part C and 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 Pre-submission Edit Check tool 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..

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    • Building an SSIP Evaluation Plan

      Building an SSIP Evaluation Plan

      IDC Interactive Institutes on High-Quality Data & the SSIP - April-May 2015

      IDEA Program: Part B, Part C

      The information provides guidance on developing an evaluation plan by differentiating implementation and impact. Topics addressed include translating theory of action into specific evaluation questions and possible formative and summative measures for evaluation. Helpful handouts are included.

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    • IDEA Data Quality:  Outlier Analyses Tools

      IDEA Data Quality: Outlier Analyses Tools

      IDEA Program: Part B, Part C

      These three technical assistance products are designed to be used by the state personnel responsible for the IDEA 618 and/or 616 data. The tools include a brief that introduces the principles of outlier analysis. In addition to this brief, these products include a tutorial on completing an outlier analysis and a tool state staff can use to conduct outlier analyses with their local data.

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    • Maintenance of Effort (MOE) Reduction Eligibility Decision Tree and Worksheets

      Maintenance of Effort (MOE) Reduction Eligibility Decision Tree and Worksheets

      IDEA Program: Part B

      The Maintenance of Effort (MOE) Reduction Eligibility Decision Tree and Worksheets include three documents to assist SEAs and LEAs/ESAs with MOE reduction.

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    • Measuring Significant Discrepancy: An Indicator B4 Technical Assistance Guide

      Measuring Significant Discrepancy: An Indicator B4 Technical Assistance Guide

      IDEA Program: Part B

      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.

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    • Methods for Assessing Racial/Ethnic Disproportionality in Special Education

      Methods for Assessing Racial/Ethnic Disproportionality in Special Education

      A Technical Assistance Guide (Revised)

      IDEA Program: Part B

      The TA guide describes the more common methods for calculating racial/ethnic disproportionality in special education. IDC revised the guide, originally published by DAC in October 2011, because of a change in SPP/APR indicators B9 and B10 to remove underrepresentation from the measure.

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    • Navigating Coordinated Early Intervening Services (CEIS) Frequently Asked Questions (FAQ)

      Navigating Coordinated Early Intervening Services (CEIS) Frequently Asked Questions (FAQ)

      IDEA Program: Part B

      This FAQ document focuses on helping SEAs and LEAs understand CEIS and its reporting requirements. These questions were developed to be used in conjunction with the OSEP Guidance Memo 08-09.

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    • Part C Exiting Data Toolkit

      Part C Exiting Data Toolkit

      IDEA Program: Part C

      The Part C Exiting Data Toolkit is a three-part document that provides information to state agency staff to improve accurate reporting of children exiting IDEA Part C.

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    • A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)

      A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)

      2014 NCES STATS-DC Data Conference - July 28 - August 1, 2014

      IDEA Program: Part B

      IDEA allows, and sometimes requires, LEAs to use funds provided under Part B of IDEA for CEIS for students who are not receiving special education services. There are multiple data collection and reporting requirements associated with the use of these funds for CEIS. IDC staff review how a diverse subset of states and their LEAs are working to meet those requirements. Both aggregate and student-level reporting approaches are reviewed.

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    • A Review of State Approaches to IDEA Reporting of Coordinated Early Intervening Services (CEIS)

      A Review of State Approaches to IDEA Reporting of Coordinated Early Intervening Services (CEIS)

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      IDEA allows, and sometimes requires, LEAs to use funds provided under IDEA Part B for CEIS students not identified for and receiving special education and related services. There are multiple data collection and reporting requirements associated with use of these funds for CEIS. IDC staff reviewed and led a discussion on how a diverse subset of states and their LEAs are working to meet those requirements.

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    • Collecting High-Quality Data: Why It Is Important

      Collecting High-Quality Data: Why It Is Important

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      This presentation focused on what is meant by the term “data quality” and provided information regarding the importance of high-quality data in the collection, reporting, and use of data in local and state decision making. Presenters shared actual examples from state experiences.

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    • Data Managers: Sharing Strategies and Solutions for Common Challenges

      Data Managers: Sharing Strategies and Solutions for Common Challenges

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      This role-alike presentation was a facilitated discussion by Part B Data Managers to explore strategies and solutions for meeting common challenges, such as working with LEAs to improve data quality, cross walking EDFacts data to SPP/APR indicators, and verifying that requirements for making data available to the public are fully met.

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    • Data Mining Section 618 Data to Prepare the APR

      Data Mining Section 618 Data to Prepare the APR

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      The required measurements for APR Indicators B3, B4, B5, B6, B9, and B10 (the assessment, discipline, LRE, and disproportionality indicators) are based on Section 618 data. This session focused on selected section 618 data submissions and how the data can be explored to provide more in-depth information for use in discussion with state’s APR stakeholders. Presenters demonstrated some practical methods for taking a deeper look at data in the IDEA EDFacts file submissions using readily available data analysis tools (Microsoft Excel).

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    • Data Process Mapping

      Data Process Mapping

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      Do you ever wonder what other states are doing to ensure high-quality data? Participants of this session learned about the work that the Kentucky Department of Education is undertaking to create data process protocols, build capacity of data stewards, and institute a culture of high-quality data. This work is being accomplished using the new IDC Data Processes Toolkit. Presenters provided an overview of the toolkit, and participants had an opportunity to experience “preparing for this work.”

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    • Equity, Inclusion, and Opportunity in Special Education

      Equity, Inclusion, and Opportunity in Special Education

      Presentation Slides

      IDEA Program: Part B

      In this webinar, which IDC staff presented for the University of Tennessee’s Boling Center for Developmental Disabilities, we first discuss the requirements in the IDEA related to disproportionality, describe methods for calculating disproportionality, and present data, both at the national level and for the state of Tennessee. The second part of the webinar introduces a research-based guidance document and self-assessment rubric designed to help schools and districts identify the root causes of "success gaps."

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    • Equity, Inclusion, and Opportunity in Special Education Webinar

      Equity, Inclusion, and Opportunity in Special Education Webinar

      IDEA Program: Part B

      In this webinar, which IDC staff presented for the University of Tennessee’s Boling Center for Developmental Disabilities, we first discuss the requirements in the IDEA related to disproportionality, describe methods for calculating disproportionality, and present data, both at the national level and for the state of Tennessee. The second part of the webinar introduces a research-based guidance document and self-assessment rubric designed to help schools and districts identify the root causes of "success gaps."

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    • Helping IDC Work for You

      Helping IDC Work for You

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B, Part C

      IDC's Communication and Dissemination team presented an interactive overview of strategies IDC uses to engage stakeholders in learning about issues related to high-quality IDEA data. The team discussed IDC's website for public access to information about tools and products and TA resources, access to IDC's learning communities for registered users, communicating through IDC's Part B and Part C listserves, and networking through social media.

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    • High-Quality Data to Support Improved Outcomes on Selected Indicators

      High-Quality Data to Support Improved Outcomes on Selected Indicators

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      This interactive role-alike presentation for SPP/APR Coordinators engaged states in discussion and dialogue around their experiences with select APR Indicators that address student outcomes. The session included one state's experiences with capturing and using high-quality data and how the data are used to inform the APR and drive decisions for selecting and implementing strategies to improve student outcomes. Participants were encouraged to share their state's examples to improve the APR and student outcomes.

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    • How Two States Increased Their Post-School Outcomes (B14) Return Rates

      How Two States Increased Their Post-School Outcomes (B14) Return Rates

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      Montana and Arkansas Part B Data Managers presented how they conduct their post-school outcomes (Indicator B14) surveys and how they have been able to increase their response rates over four years. They discussed what has worked for them, what they have learned along the way, and how they can now use these data as a part of their SSIP analysis.

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    • IDEA and FERPA - Understanding the Basics

      IDEA and FERPA - Understanding the Basics

      South Carolina Department of Education 2015 Research to Practice Institute - July 13-17, 2015

      IDEA Program: Part B, Part C

      This presentation informed participants of the privacy provisions under IDEA Part C, IDEA Part B, and FERPA. It covered the basics surrounding the legal requirements related to the protection of PII about children with disabilities and where to go for help with questions about privacy. The audience for the presentation included administrators and practitioners who are concerned with providing services for children and youth while maintaining the privacy of the children and youth they are serving.

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    • Indicator B6: Using the Data, Telling the Story

      Indicator B6: Using the Data, Telling the Story

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B - 619

      The presentation focused on the current IDEA Section 618 data collection related to educational environments for children ages 3 through 5 and related SPP/APR Indicator B6 Preschool Educational Environments data. Presenters discussed one state’s use of these data to improve outcomes for children and shared resources to assist states in reporting and using the data for this indicator.

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    • Moving Data Quality Downstream - Building a Culture of Data Quality at the LEA Level

      Moving Data Quality Downstream - Building a Culture of Data Quality at the LEA Level

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      Presenters and participants discussed strategies that SEAs can use to help LEAs in collecting section 618 and other state-required data that is of high-quality. They explored IDC’s Knowledge Lab that lists various resources around different data collections. The Knowledge Lab contains many resources designed to help SEAs and LEAs gather, collect, validate, and report high-quality data. The discussion allowed for state input on how the state uses or can use these resources.

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    • Overview of IDEA Discipline Data Reporting Infographic

      Overview of IDEA Discipline Data Reporting Infographic

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      The presentation reviewed a new TA tool that summarizes the basics of reporting IDEA discipline data in the six EDFacts file formats. Presenters described and demonstrated the new IDC infographic, discussed how SEAs and LEAs can use it to improve the quality of their discipline data, and requested audience input.

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    • Part B Transition Indicators: Supporting States in the SSIP

      Part B Transition Indicators: Supporting States in the SSIP

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      The National Post-School Outcomes Center, in collaboration with IDC, provided a picture of post-school outcomes for youth with disabilities over the last four years based on Indicator 14 data. Presenters discussed methods states use to collect these data. To further states' work in RDA and improve results, presenters provided information about resources and TA that support states in examining the transition indicators as stakeholders work through the three phases of the SSIP.

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    • Public Reporting of Section 618 Data: Regulations, Processes, and Pitfalls

      Public Reporting of Section 618 Data: Regulations, Processes, and Pitfalls

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B, Part C

      IDEA requires that states publicly report Section 618 data. To assist SEA special education directors and data managers in meeting these requirements, IDC is developing a TA tool to simplify regulatory language and requirements into one document that includes process tips and pitfalls. The presentation highlighted existing practice across the country and provided opportunity for attendees to review the current draft of the proposed TA tool.

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    • Show Me the Data – Data Visualization and Presentation Webinar Series (Parts 1 and 2)

      Show Me the Data – Data Visualization and Presentation Webinar Series (Parts 1 and 2)

      IDEA Program: Part B, Part C

      Chris Lysy of IDC and Shen Lee of Westat presented a pair of introductory webinar sessions on data visualization. The recordings are available to watch.

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    • The Role of Business Rules in High-Quality Data

      The Role of Business Rules in High-Quality Data

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      Presenters provided an overview of the importance of high-quality data and the role business rules play in achieving high-quality data. This session was designed to educate IDEA Part B state staff about the purpose and benefits of creating and updating business rules for their data systems to submit high-quality data to OSEP and for analyses that extend beyond federal reporting.

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    • Using Compliance Data for Program Improvement

      Using Compliance Data for Program Improvement

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      It can be challenging to bridge the huge shift from a focus on solely compliance-driven data to an emphasis on results-driven monitoring. Compliance data can be hard and fast; results-driven data can be harder to pin down. This topical burst provided an overview of compliance data, the interrelationship between compliance and results data, and existing processes that can help bridge the gap between accountability and program improvement.

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    • Visualizing IDEA Data

      Visualizing IDEA Data

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      IDC staff provided an introduction to data visualization approaches that are particularly useful for presenting IDEA data for the public. Participants learned simple strategies, chart types, and report styles that can be used to visualize the state’s data using Microsoft Excel, PowerPoint, and free online tools. Presenters also provided a set of activities so that participants can  continue developing their capacity in follow-up to the interactive institute.

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    • Where Do They Go? Capturing Accurate Part C Exiting Data

      Where Do They Go? Capturing Accurate Part C Exiting Data

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part C, Part B - 619

      The presentation explored challenges that states and local regions face in accurately capturing Part C Exiting reasons. The IDC Part C Exiting workgroup has been developing a tool to assist with these challenges. The presentation was interactive, drawing on the experiences of new and seasoned data managers.

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  • Data Reporting

    • IDEA Data Quality:  Outlier Analyses Tools

      IDEA Data Quality: Outlier Analyses Tools

      These three technical assistance products are designed to be used by the state personnel responsible for the IDEA 618 and/or 616 data. The tools include a brief that introduces the principles of outlier analysis. In addition to this brief, these products include a tutorial on completing an outlier analysis and a tool state staff can use to conduct outlier analyses with their local data.

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    • B6 Data Reporting Tools: Educational Environments, Ages 3-5

      B6 Data Reporting Tools: Educational Environments, Ages 3-5

      Interactive Application

      IDEA Program: Part B - 619

      A new interactive application with scenarios for educational environments for children ages 3-5 is available for desktop and laptop computers and mobile devices. The app contains an interactive decision tree and scenarios, glossary, and information on reporting categories.

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    • EDFacts IDEA Discipline  Data Infographic

      EDFacts IDEA Discipline Data Infographic

      IDEA Program: Part B

      IDC's EDFacts IDEA Discipline Data Infographic provides basic information about the six EDFacts files used to submit IDEA discipline data to the U.S. Department of Education.

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    • IDC and PSC: Whom do I call and when?

      IDC and PSC: Whom do I call and when?

      IDEA Program: Part B, Part C

      This document clarifies the services IDC provides in contrast to the services the PSC provides. It presents examples of when states should contact their IDC State Liaisons with IDEA Part B and Part C 618 data issues and when they should contact PSC.



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    • IDEA Data Training Modules

      IDEA Data Training Modules

      IDEA Program: Part B, Part C

      The IDEA Data Training modules provide information required for the completion of the IDEA 618 data submissions and relevant APR indicators. The modules are separated into eight sections for Part B and five sections for Part C. These sections discuss submission methods, types of submissions, APR indicators, public reporting, and technical assistance.

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    • New Data Manager Welcome Toolkit and 2016 Due Date List

      New Data Manager Welcome Toolkit and 2016 Due Date List

      IDEA Program: Part B, Part C

      This toolkit provides an introduction to IDC for new Data Managers. It contains advice on getting started in their new roles and whom to contact, as well as a list of helpful links, commonly used IDEA acronyms, and a list of 618 data collection due dates.

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    • Part B IDEA 618 Data Processes Toolkit

      Part B IDEA 618 Data Processes Toolkit

      IDEA Program: Part B

      Using the Part B IDEA 618 Data Processes Toolkit to document data processes for all 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 toolkit contains Data Collection Protocols, a calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word and can be tailored to a state's specific documentation needs.

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    • Part C Exiting Counts

      Part C Exiting Counts

      Online Application

      IDEA Program: Part C

      IDC's Part C Exiting Counts app allows users to test their knowledge of the 10 Part C Exiting categories by either starting with a child scenario and deciding which reason and category best fit the scenario or starting with a reason and category and deciding which child scenario best fits that reason and category. 

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    • Part C IDEA 618 Data Processes Toolkit

      Part C IDEA 618 Data Processes Toolkit

      IDEA Program: Part C

      Using the Part C IDEA 618 Data Processes Toolkit to document data processes for all 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 toolkit contains Data Collection Protocols, a calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word and can be tailored to a state's specific documentation needs.

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    • Quick Reference Guide on Coordinated Early Intervening Services

      Quick Reference Guide on Coordinated Early Intervening Services

      Developed by CIFR, in collaboration with the IDC, this three-page quick reference guide assists states, LEAs, and stakeholders to better understand basic CEIS requirements stipulated in IDEA. The guide describes the requirements for the provision of CEIS, the use of CEIS funds, the interaction of CEIS funds and local maintenance of effort reductions, and reporting obligations. It concludes with questions and additional resources for states to consider.

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    • Quick Reference Guide on IDEA Local Educational Agency Maintenance of Effort

      Quick Reference Guide on IDEA Local Educational Agency Maintenance of Effort

      Developed by CIFR, in collaboration with IDC, this three-page quick reference guide assists states,  LEAs, and stakeholders to better understand the basic local MOE requirements stipulated in IDEA. The guide describes the consequences of failing to meet MOE, standards for calculations, allowable exceptions, and reporting obligations. It concludes with questions and additional resources for states to consider.

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    • Section 618 Public Reporting Requirements

      Section 618 Public Reporting Requirements

      IDEA Program: Part B, Part C

      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.

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    • 618 Data Pre-submission Edit Check Tool - Part B MOE and CEIS

      618 Data Pre-submission Edit Check Tool - Part B MOE and CEIS

      IDEA Program: Part B

      IDC and CIFR developed the 618 Data Pre-submission Edit Check 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 618 Data Pre-submission Edit Check Tool - Part B MOE and CEIS 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.

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    • 618 Data Pre-submission Edit Check Tools

      618 Data Pre-submission Edit Check Tools

      IDEA Program: Part B, Part C

      IDC presents 618 Data Pre-submission Edit Check Tools for assisting states prepare their Part C and 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 Pre-submission Edit Check tool 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..

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    • Educational Environments 3-5 Data Template: Calculating Local Data Worksheet

      Educational Environments 3-5 Data Template: Calculating Local Data Worksheet

      IDEA Program: Part B - 619

      This data template provides SEAs and LEAs the opportunity to see in real-time the percentages of their children ages 3-5 attending and receiving services in specific educational environments. When the LEA 618 educational environments data is simply entered on the data tab, the percentages will be calculated and displayed on the percentage tab. The use of this tool will allow SEAs to compare the percentages of children within educational environments across LEAs.

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    • Enhanced Pre-submission Edit Check Tools for IDEA 618 Part B Data

      Enhanced Pre-submission Edit Check Tools for IDEA 618 Part B Data

      IDC presents the Enhanced Pre-submission Edit Check Tools for IDEA 618 Part B Data to help states prepare their Part B data submissions. Currently, three resources comprise this suite of tools: Pre-submission Edit Check Tools for IDEA 618 Personnel, Exiting, and Discipline Part B EDFacts Files and two recently added tools. The two new tools are Enhanced Pre-submission Edit Check Tool for IDEA 618 Part B (C089) Ages3–5 Child Count and Educational Environment Data and Enhanced Pre-submission Edit Check Tool for IDEA 618 Part B (C002) Ages 6–21 Child Count and Educational Environment Data. States can use these tools to review the contents of their IDEA 618 EDFacts Part B personnel, exiting, and discipline data files and their child count and educational environment data files for children ages 3–5 (C089) and students ages 6–21 (C002) 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.

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    • IDEA Data Quality:  Outlier Analyses Tools

      IDEA Data Quality: Outlier Analyses Tools

      IDEA Program: Part B, Part C

      These three technical assistance products are designed to be used by the state personnel responsible for the IDEA 618 and/or 616 data. The tools include a brief that introduces the principles of outlier analysis. In addition to this brief, these products include a tutorial on completing an outlier analysis and a tool state staff can use to conduct outlier analyses with their local data.

      View this Resource
    • IDEA Part B Indicator 12 Transition Template: Calculating Data Worksheet

      IDEA Part B Indicator 12 Transition Template: Calculating Data Worksheet

      IDEA Program: Part B - 619

      The tool converts state and LEAs early childhood transition data into percentages. The tools enables states to see real-time percentages of children ages 3-5 in the transition reporting categories and compare the percentages of children within the categories across LEAs.

      View this Resource
    • Measuring Significant Discrepancy: An Indicator B4 Technical Assistance Guide

      Measuring Significant Discrepancy: An Indicator B4 Technical Assistance Guide

      IDEA Program: Part B

      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.

      View this Resource
    • Part C Exiting Data Toolkit

      Part C Exiting Data Toolkit

      IDEA Program: Part C

      The Part C Exiting Data Toolkit is a three-part document that provides information to state agency staff to improve accurate reporting of children exiting IDEA Part C.

      View this Resource
    • 618 Data—What’s That? Getting to Know Your 618 Data

      618 Data—What’s That? Getting to Know Your 618 Data

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      Have you heard these terms 618, 616, EDFacts, EMAPS, file specifications, OMB-MAX, GRADS360, Data Quality Reports? Do you understand what they are referencing? Do you want to gain a higher knowledge of these terms? Participants in this presentation learned more about IDEA data reporting requirements in relation to the 618 data collections. They also learned about data quality considerations and tools states can use when going through the data collecting and reporting procedures.

      View this Resource
    • A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)

      A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)

      2014 NCES STATS-DC Data Conference - July 28 - August 1, 2014

      IDEA Program: Part B

      IDEA allows, and sometimes requires, LEAs to use funds provided under Part B of IDEA for CEIS for students who are not receiving special education services. There are multiple data collection and reporting requirements associated with the use of these funds for CEIS. IDC staff review how a diverse subset of states and their LEAs are working to meet those requirements. Both aggregate and student-level reporting approaches are reviewed.

      View this Resource
    • Data Process Mapping

      Data Process Mapping

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      Do you ever wonder what other states are doing to ensure high-quality data? Participants of this session learned about the work that the Kentucky Department of Education is undertaking to create data process protocols, build capacity of data stewards, and institute a culture of high-quality data. This work is being accomplished using the new IDC Data Processes Toolkit. Presenters provided an overview of the toolkit, and participants had an opportunity to experience “preparing for this work.”

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    • Indicator B6: Using the Data, Telling the Story

      Indicator B6: Using the Data, Telling the Story

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B - 619

      The presentation focused on the current IDEA Section 618 data collection related to educational environments for children ages 3 through 5 and related SPP/APR Indicator B6 Preschool Educational Environments data. Presenters discussed one state’s use of these data to improve outcomes for children and shared resources to assist states in reporting and using the data for this indicator.

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    • Overview of IDEA Discipline Data Reporting Infographic

      Overview of IDEA Discipline Data Reporting Infographic

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      The presentation reviewed a new TA tool that summarizes the basics of reporting IDEA discipline data in the six EDFacts file formats. Presenters described and demonstrated the new IDC infographic, discussed how SEAs and LEAs can use it to improve the quality of their discipline data, and requested audience input.

      View this Resource
    • Reporting and Using Data to Ensure Successful Transitions in Early Childhood Webinar

      Reporting and Using Data to Ensure Successful Transitions in Early Childhood Webinar

      IDEA Program: Part B, Part C

      This webinar highlighted the IDEA state reporting requirements for early childhood transitions for both Part C and Part B, found in the SPP/APR Part C Indicator 8 and Part B Indicators 11 and 12. Participants shared resources related to transition, data collection, and reporting, as well as the use of both Part C and Part B data to facilitate high quality transitions. North Dakota's Part C coordinator and data manager and Montana's 619 coordinator and data manager described how their states collect and use transition data to ensure smooth transitions for all young children as they turn three and move from early intervention services to preschool 619 services.

      View this Resource
    • The Role of Business Rules in High-Quality Data

      The Role of Business Rules in High-Quality Data

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      Presenters provided an overview of the importance of high-quality data and the role business rules play in achieving high-quality data. This session was designed to educate IDEA Part B state staff about the purpose and benefits of creating and updating business rules for their data systems to submit high-quality data to OSEP and for analyses that extend beyond federal reporting.

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    • Where Do They Go? Capturing Accurate Part C Exiting Data

      Where Do They Go? Capturing Accurate Part C Exiting Data

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part C, Part B - 619

      The presentation explored challenges that states and local regions face in accurately capturing Part C Exiting reasons. The IDC Part C Exiting workgroup has been developing a tool to assist with these challenges. The presentation was interactive, drawing on the experiences of new and seasoned data managers.

      View this Resource
  • Discipline

    • 618 Data Pre-submission Edit Check Tools

      618 Data Pre-submission Edit Check Tools

      IDEA Program: Part B, Part C

      IDC presents 618 Data Pre-submission Edit Check Tools for assisting states prepare their Part C and 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 Pre-submission Edit Check tool 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..

      View this Resource
    • Measuring Significant Discrepancy: An Indicator B4 Technical Assistance Guide

      Measuring Significant Discrepancy: An Indicator B4 Technical Assistance Guide

      IDEA Program: Part B

      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.

      View this Resource
    • Equity, Inclusion and Opportunity: Addressing Success Gaps

      Equity, Inclusion and Opportunity: Addressing Success Gaps

      2014 NCES STATS-DC Data Conference - July 28 - August 1, 2014

      IDEA Program: Part B

      The presentation introduces a research-based guidance document and self-assessment rubric designed to help districts and schools identify the root causes of "success gaps" (for example, in test scores, suspension or graduation rates, or course credits) for some groups of students, thereby helping schools to improve and equalize results for all students.

      View this Resource
    • Equity, Inclusion, & Opportunity: Addressing Success Gaps

      Equity, Inclusion, & Opportunity: Addressing Success Gaps

      Special Education Data Summit for LEAs in Arkansas - June 15-16, 2015

      IDEA Program: Part B

      This presentation introduced the audience of local education agency personnel to new tools, the Equity, Inclusion and Opportunity: How to Address Success Gaps Rubric and the Equity, Inclusion and Opportunity: How to Address Success Gaps White Paper. The rubric and white paper were developed by a group of OSEP-funded technical assistance providers, with input from states and other experts. The Equity, Inclusion, and Opportunity: How to Address Success Gaps tools provide a process for reducing the differences in school success among subgroups of students by providing a structure for districts or schools to examine their current practices and identify areas for improvement.

      View this Resource
    • Equity, Inclusion, and Opportunity in Special Education

      Equity, Inclusion, and Opportunity in Special Education

      Presentation Slides

      IDEA Program: Part B

      In this webinar, which IDC staff presented for the University of Tennessee’s Boling Center for Developmental Disabilities, we first discuss the requirements in the IDEA related to disproportionality, describe methods for calculating disproportionality, and present data, both at the national level and for the state of Tennessee. The second part of the webinar introduces a research-based guidance document and self-assessment rubric designed to help schools and districts identify the root causes of "success gaps."

      View this Resource
    • Equity, Inclusion, and Opportunity in Special Education Webinar

      Equity, Inclusion, and Opportunity in Special Education Webinar

      IDEA Program: Part B

      In this webinar, which IDC staff presented for the University of Tennessee’s Boling Center for Developmental Disabilities, we first discuss the requirements in the IDEA related to disproportionality, describe methods for calculating disproportionality, and present data, both at the national level and for the state of Tennessee. The second part of the webinar introduces a research-based guidance document and self-assessment rubric designed to help schools and districts identify the root causes of "success gaps."

      View this Resource
  • Disproportionality and Equity

    • Data Mining Section 618 Data to Prepare the APR

      Data Mining Section 618 Data to Prepare the APR

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      The required measurements for APR Indicators B3, B4, B5, B6, B9, and B10 (the assessment, discipline, LRE, and disproportionality indicators) are based on Section 618 data. This session focused on selected section 618 data submissions and how the data can be explored to provide more in-depth information for use in discussion with state’s APR stakeholders. Presenters demonstrated some practical methods for taking a deeper look at data in the IDEA EDFacts file submissions using readily available data analysis tools (Microsoft Excel).

      View this Resource
    • Equity in IDEA: Comparing the Current IDEA Equity Requirements and Understanding the Proposed Changes for Significant Disproportionality Webinar

      Equity in IDEA: Comparing the Current IDEA Equity Requirements and Understanding the Proposed Changes for Significant Disproportionality Webinar

      This webinar described the various equity requirements in IDEA and also provided information on the NPRM released by OSEP and implications for states if the NPRM moves forward.

      View this Resource
    • Equity, Inclusion and Opportunity: Addressing Success Gaps

      Equity, Inclusion and Opportunity: Addressing Success Gaps

      2014 NCES STATS-DC Data Conference - July 28 - August 1, 2014

      IDEA Program: Part B

      The presentation introduces a research-based guidance document and self-assessment rubric designed to help districts and schools identify the root causes of "success gaps" (for example, in test scores, suspension or graduation rates, or course credits) for some groups of students, thereby helping schools to improve and equalize results for all students.

      View this Resource
    • Equity, Inclusion, & Opportunity: Addressing Success Gaps

      Equity, Inclusion, & Opportunity: Addressing Success Gaps

      Special Education Data Summit for LEAs in Arkansas - June 15-16, 2015

      IDEA Program: Part B

      This presentation introduced the audience of local education agency personnel to new tools, the Equity, Inclusion and Opportunity: How to Address Success Gaps Rubric and the Equity, Inclusion and Opportunity: How to Address Success Gaps White Paper. The rubric and white paper were developed by a group of OSEP-funded technical assistance providers, with input from states and other experts. The Equity, Inclusion, and Opportunity: How to Address Success Gaps tools provide a process for reducing the differences in school success among subgroups of students by providing a structure for districts or schools to examine their current practices and identify areas for improvement.

      View this Resource
    • Equity, Inclusion, and Opportunity in Special Education

      Equity, Inclusion, and Opportunity in Special Education

      Presentation Slides

      IDEA Program: Part B

      In this webinar, which IDC staff presented for the University of Tennessee’s Boling Center for Developmental Disabilities, we first discuss the requirements in the IDEA related to disproportionality, describe methods for calculating disproportionality, and present data, both at the national level and for the state of Tennessee. The second part of the webinar introduces a research-based guidance document and self-assessment rubric designed to help schools and districts identify the root causes of "success gaps."

      View this Resource
    • Equity, Inclusion, and Opportunity: Addressing Success Gaps via the SSIP Process

      Equity, Inclusion, and Opportunity: Addressing Success Gaps via the SSIP Process

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      Presenters introduced a research-based guidance document and self-assessment rubric designed by OSEP's Disproportionality Priority Team to help districts and schools identify the root causes of "success gaps" for some groups of students, thereby helping to improve and equalize results for all students. As an example, presenters used Georgia's SSIP process, focused on graduation for students with disabilities.

      View this Resource
    • Using Data to Explore and Prepare for Expected Changes to Significant Disproportionality: What Should Your State Be Thinking About?

      Using Data to Explore and Prepare for Expected Changes to Significant Disproportionality: What Should Your State Be Thinking About?

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      To address the disparities experienced by minority students with disabilities, the U.S. Department of Education is proposing a new Equity in IDEA Rule. During this session, presenters used data examples to guide states through a series of questions regarding how the Notice of Proposed Rule Making might affect significant disproportionality calculations, analysis, and decision-making. Presenters also introduced IDC’s Success Gaps Toolbox, which can help states and local school districts in determining root causes of significant disproportionality.

      View this Resource
  • Educational Environments

    • Educational Environments 3-5 Data Template: Calculating Local Data Worksheet

      Educational Environments 3-5 Data Template: Calculating Local Data Worksheet

      This data template provides SEAs and LEAs the opportunity to see in real-time the percentages of their children ages 3-5 attending and receiving services in specific educational environments. When the LEA 618 educational environments data is simply entered on the data tab, the percentages will be calculated and displayed on the percentage tab. The use of this tool will allow SEAs to compare the percentages of children within educational environments across LEAs.

      View this Resource
    • B6 Data Reporting Tools: Educational Environments, Ages 3-5

      B6 Data Reporting Tools: Educational Environments, Ages 3-5

      IDEA Program: Part B - 619

      The Reporting Educational Environments toolkit provides training and technical assistance resources to assist states in accurately reporting Educational Environments data for children ages 3-5 with disabilities as required for the OSEP Child Count and SPP/APR Indicator 6. States can use the toolkit materials as “stand-alone” guides or as a set.

      View this Resource
    • B6 Data Reporting Tools: Educational Environments, Ages 3-5

      B6 Data Reporting Tools: Educational Environments, Ages 3-5

      Interactive Application

      IDEA Program: Part B - 619

      A new interactive application with scenarios for educational environments for children ages 3-5 is available for desktop and laptop computers and mobile devices. The app contains an interactive decision tree and scenarios, glossary, and information on reporting categories.

      View this Resource
    • IDEA Data Training Modules

      IDEA Data Training Modules

      IDEA Program: Part B, Part C

      The IDEA Data Training modules provide information required for the completion of the IDEA 618 data submissions and relevant APR indicators. The modules are separated into eight sections for Part B and five sections for Part C. These sections discuss submission methods, types of submissions, APR indicators, public reporting, and technical assistance.

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    • Online Learning and IDEA Educational Environments (Ages 6-21)

      Online Learning and IDEA Educational Environments (Ages 6-21)

      Determining Educational Environments for Students With Disabilities

      IDEA Program: Part B

      This document is a TA tool staff can use when considering the time students with disabilities spend in online learning and how they should count that time when reporting IDEA educational environments. In addition, the tool provides and explains several common online learning scenarios for students with disabilities along with the recommended educational environment code.

      View this Resource
    • Summary of State Policy on Online Learning

      Summary of State Policy on Online Learning

      IDEA Program: Part B

      This white paper provides a snapshot of selected state policies and guidance pertinent to online learning and educational environments for students with disabilities.

      View this Resource
    • Educational Environments 3-5 Data Template: Calculating Local Data Worksheet

      Educational Environments 3-5 Data Template: Calculating Local Data Worksheet

      IDEA Program: Part B - 619

      This data template provides SEAs and LEAs the opportunity to see in real-time the percentages of their children ages 3-5 attending and receiving services in specific educational environments. When the LEA 618 educational environments data is simply entered on the data tab, the percentages will be calculated and displayed on the percentage tab. The use of this tool will allow SEAs to compare the percentages of children within educational environments across LEAs.

      View this Resource
    • Preliminary Trends on State Policy and Practices on Students With Disabilities Enrolled in Online Courses: Challenges and Implications for Reporting

      Preliminary Trends on State Policy and Practices on Students With Disabilities Enrolled in Online Courses: Challenges and Implications for Reporting

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      Participants engaged in focused discussions with members of IDC's Workgroup on Educational Environments - Online Learning. Workgroup members presented a snapshot of policies on online learning. They also presented a preliminary analysis on data collection and reporting practices in relation to IDEA educational environments from states reporting students with disabilities enrolled in online learning courses. Participants engaged in an interactive discussion on similarities, differences, and needs of practices within their own states.

      View this Resource
    • State Policy and Local Implementation—Online Learning and SWDs

      State Policy and Local Implementation—Online Learning and SWDs

      CASE-NASDSE Conference, September 25-27, 2016

      IDEA Program: Part B

      Findings from IDC’s white paper and interviews of select states revealed that LEAs are responsible for determining LRE and implementation and monitoring of IEPs in online environments. Presentation of findings were followed by a panel discussion of states and LEAs to discuss key problems of practice and needs for resources that IDC can develop to support greater understanding of implications of online learning for SWDs and the relationship to high-quality data.

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  • Exiting

    • 618 Data Pre-submission Edit Check Tools

      618 Data Pre-submission Edit Check Tools

      IDC presents 618 Data Pre-submission Edit Check Tools for assisting states prepare their Part C and 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 Pre-submission Edit Check tool 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..

      View this Resource
    •  Part C Exiting Data Matrix: Categories with Child-Level Examples

      Part C Exiting Data Matrix: Categories with Child-Level Examples

      IDEA Program: Part C

      This matrix is both a standalone product and the fourth section of the IDEA Data Center Part C Exiting Data Toolkit. It contains scenarios for each of the 10 exiting categories. The Part C Exiting Data Toolkit is designed to assist states in reporting high-quality Part C exiting data, required under Section 618 of IDEA. The remaining three sections in the Part C Exiting Data Toolkit are: Part C Exiting Reasons and Categories (Section 1); General Challenges and Potential Solutions (Section 2 , Part 1); Specific Challenges, Potential Solutions, and Variation (Section 2, Part 2); and Data Check Patterns and Additional Data Check Patterns to Ensure Non-Duplicated Counts of All Eligible Exiting Children (Section 3).

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    • Part C Exiting Counts

      Part C Exiting Counts

      Online Application

      IDEA Program: Part C

      IDC's Part C Exiting Counts app allows users to test their knowledge of the 10 Part C Exiting categories by either starting with a child scenario and deciding which reason and category best fit the scenario or starting with a reason and category and deciding which child scenario best fits that reason and category. 

      View this Resource
    • Part C Exiting Data Toolkit

      Part C Exiting Data Toolkit

      IDEA Program: Part C

      The Part C Exiting Data Toolkit is a three-part document that provides information to state agency staff to improve accurate reporting of children exiting IDEA Part C.

      View this Resource
    • 618 Data Pre-submission Edit Check Tools

      618 Data Pre-submission Edit Check Tools

      IDEA Program: Part B, Part C

      IDC presents 618 Data Pre-submission Edit Check Tools for assisting states prepare their Part C and 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 Pre-submission Edit Check tool 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..

      View this Resource
    • Examining Part C Exiting Data Variation

      Examining Part C Exiting Data Variation

      White Paper

      IDEA Program: Part C

      Using national averages for each of the exiting categories, this white paper helps state personnel examine differences in their Part C Exiting data. The paper explores Part C Exiting data category definitions, as well as general and specific trends in Part C Exiting data. It also includes suggestions for possible strategies to improve data quality, including clarifying policies and definitions, documenting procedures for implementation of policies, and developing training materials related to reporting exiting data.

      View this Resource
    • IDEA Part B Indicator 12 Transition Template: Calculating Data Worksheet

      IDEA Part B Indicator 12 Transition Template: Calculating Data Worksheet

      IDEA Program: Part B - 619

      The tool converts state and LEAs early childhood transition data into percentages. The tools enables states to see real-time percentages of children ages 3-5 in the transition reporting categories and compare the percentages of children within the categories across LEAs.

      View this Resource
    • How Two States Increased Their Post-School Outcomes (B14) Return Rates

      How Two States Increased Their Post-School Outcomes (B14) Return Rates

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      Montana and Arkansas Part B Data Managers presented how they conduct their post-school outcomes (Indicator B14) surveys and how they have been able to increase their response rates over four years. They discussed what has worked for them, what they have learned along the way, and how they can now use these data as a part of their SSIP analysis.

      View this Resource
    • Part B Transition Indicators: Supporting States in the SSIP

      Part B Transition Indicators: Supporting States in the SSIP

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      The National Post-School Outcomes Center, in collaboration with IDC, provided a picture of post-school outcomes for youth with disabilities over the last four years based on Indicator 14 data. Presenters discussed methods states use to collect these data. To further states' work in RDA and improve results, presenters provided information about resources and TA that support states in examining the transition indicators as stakeholders work through the three phases of the SSIP.

      View this Resource
    • Reporting and Using Data to Ensure Successful Transitions in Early Childhood Webinar

      Reporting and Using Data to Ensure Successful Transitions in Early Childhood Webinar

      IDEA Program: Part B, Part C

      This webinar highlighted the IDEA state reporting requirements for early childhood transitions for both Part C and Part B, found in the SPP/APR Part C Indicator 8 and Part B Indicators 11 and 12. Participants shared resources related to transition, data collection, and reporting, as well as the use of both Part C and Part B data to facilitate high quality transitions. North Dakota's Part C coordinator and data manager and Montana's 619 coordinator and data manager described how their states collect and use transition data to ensure smooth transitions for all young children as they turn three and move from early intervention services to preschool 619 services.

      View this Resource
  • Family and Stakeholder Involvement

    • Improving Data Quality in Part C Family and Part B Parent Surveys Webinar

      Improving Data Quality in Part C Family and Part B Parent Surveys Webinar

      The webinar provided an overview of survey methodology data issues. It was designed to help participants improve their knowledge about survey development and testing, representativeness, and response rates related to family surveys in Part C and Part B. The webinar was designed for individuals involved in measurement of Indicators C4 and B8 and those interested in survey methodologies as part of the SSIP.

      View this Resource
    • Assessment Interactive Map (AIM)

      Assessment Interactive Map (AIM)

      IDEA Program: Part B

      Login required to access this tool.

      This interactive map provides data for each state and territory from the 2013–14 and 2014–15 school years. Data will be updated yearly. The data were collected from a range of sources, including state department of education websites and U.S. Department of Education websites. The map allows users to view, in one place, a range of publicly reported data relating to state content standards and assessments, Part B indicator 3, and Part B Results-Driven Accountability matrices (2013 and 2014). It is hoped that states will use this information as a starting point for collaborating on ways to improve results for children and students with disabilities.

      View this Resource
    • B6 Data Reporting Tools: Educational Environments, Ages 3-5

      B6 Data Reporting Tools: Educational Environments, Ages 3-5

      IDEA Program: Part B - 619

      The Reporting Educational Environments toolkit provides training and technical assistance resources to assist states in accurately reporting Educational Environments data for children ages 3-5 with disabilities as required for the OSEP Child Count and SPP/APR Indicator 6. States can use the toolkit materials as “stand-alone” guides or as a set.

      View this Resource
    • B6 Data Reporting Tools: Educational Environments, Ages 3-5

      B6 Data Reporting Tools: Educational Environments, Ages 3-5

      Interactive Application

      IDEA Program: Part B - 619

      A new interactive application with scenarios for educational environments for children ages 3-5 is available for desktop and laptop computers and mobile devices. The app contains an interactive decision tree and scenarios, glossary, and information on reporting categories.

      View this Resource
    • EDFacts IDEA Discipline  Data Infographic

      EDFacts IDEA Discipline Data Infographic

      IDEA Program: Part B

      IDC's EDFacts IDEA Discipline Data Infographic provides basic information about the six EDFacts files used to submit IDEA discipline data to the U.S. Department of Education.

      View this Resource
    • Collecting High-Quality Data: Why It Is Important

      Collecting High-Quality Data: Why It Is Important

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      This presentation focused on what is meant by the term “data quality” and provided information regarding the importance of high-quality data in the collection, reporting, and use of data in local and state decision making. Presenters shared actual examples from state experiences.

      View this Resource
    • How Two States Increased Their Post-School Outcomes (B14) Return Rates

      How Two States Increased Their Post-School Outcomes (B14) Return Rates

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      Montana and Arkansas Part B Data Managers presented how they conduct their post-school outcomes (Indicator B14) surveys and how they have been able to increase their response rates over four years. They discussed what has worked for them, what they have learned along the way, and how they can now use these data as a part of their SSIP analysis.

      View this Resource
    • Improving Data Quality in Part C Family and Part B Parent Surveys Webinar

      Improving Data Quality in Part C Family and Part B Parent Surveys Webinar

      IDEA Program: Part B, Part C, Part B - 619

      The webinar provided an overview of survey methodology data issues. It was designed to help participants improve their knowledge about survey development and testing, representativeness, and response rates related to family surveys in Part C and Part B. The webinar was designed for individuals involved in measurement of Indicators C4 and B8 and those interested in survey methodologies as part of the SSIP.

      View this Resource
    • Part B Transition Indicators: Supporting States in the SSIP

      Part B Transition Indicators: Supporting States in the SSIP

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      The National Post-School Outcomes Center, in collaboration with IDC, provided a picture of post-school outcomes for youth with disabilities over the last four years based on Indicator 14 data. Presenters discussed methods states use to collect these data. To further states' work in RDA and improve results, presenters provided information about resources and TA that support states in examining the transition indicators as stakeholders work through the three phases of the SSIP.

      View this Resource
    • Preliminary Trends on State Policy and Practices on Students With Disabilities Enrolled in Online Courses: Challenges and Implications for Reporting

      Preliminary Trends on State Policy and Practices on Students With Disabilities Enrolled in Online Courses: Challenges and Implications for Reporting

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      Participants engaged in focused discussions with members of IDC's Workgroup on Educational Environments - Online Learning. Workgroup members presented a snapshot of policies on online learning. They also presented a preliminary analysis on data collection and reporting practices in relation to IDEA educational environments from states reporting students with disabilities enrolled in online learning courses. Participants engaged in an interactive discussion on similarities, differences, and needs of practices within their own states.

      View this Resource
    • Using State Data to Inform Parent Center Work

      Using State Data to Inform Parent Center Work

      Region 2 Parent Technical Assistance Center (PTAC) Conference - June 25, 2015

      IDEA Program: Part B, Part C

      The purpose of this presentation was to introduce PTI and CPRC directors and staff to the IDEA data collected and reported by state education agencies and discuss how these data can be used to inform many of the fourteen priority topics for the PTI/CPRC network. These priorities were identified in the most recent OSEP requests for proposals for PTI and CPRC funding.

      View this Resource
  • Fiscal

    • A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)

      A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)

      2014 NCES STATS-DC Data Conference - July 28 - August 1, 2014

      IDEA Program: Part B

      IDEA allows, and sometimes requires, LEAs to use funds provided under Part B of IDEA for CEIS for students who are not receiving special education services. There are multiple data collection and reporting requirements associated with the use of these funds for CEIS. IDC staff review how a diverse subset of states and their LEAs are working to meet those requirements. Both aggregate and student-level reporting approaches are reviewed.

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    • A Review of State Approaches to IDEA Reporting of Coordinated Early Intervening Services (CEIS)

      A Review of State Approaches to IDEA Reporting of Coordinated Early Intervening Services (CEIS)

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      IDEA allows, and sometimes requires, LEAs to use funds provided under IDEA Part B for CEIS students not identified for and receiving special education and related services. There are multiple data collection and reporting requirements associated with use of these funds for CEIS. IDC staff reviewed and led a discussion on how a diverse subset of states and their LEAs are working to meet those requirements.

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  • Public Reporting and Data Visualization

    • Section 618 Public Reporting Requirements

      Section 618 Public Reporting Requirements

      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.

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    • EDFacts IDEA Discipline  Data Infographic

      EDFacts IDEA Discipline Data Infographic

      IDEA Program: Part B

      IDC's EDFacts IDEA Discipline Data Infographic provides basic information about the six EDFacts files used to submit IDEA discipline data to the U.S. Department of Education.

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    • IDEA Data Training Modules

      IDEA Data Training Modules

      IDEA Program: Part B, Part C

      The IDEA Data Training modules provide information required for the completion of the IDEA 618 data submissions and relevant APR indicators. The modules are separated into eight sections for Part B and five sections for Part C. These sections discuss submission methods, types of submissions, APR indicators, public reporting, and technical assistance.

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    • IDEA Section 618 Public Reporting Data Element Checklists

      IDEA Section 618 Public Reporting Data Element Checklists

      IDEA Program: Part B, Part C

      These interactive checklists assist states to meet IDEA Section 618 public reporting requirements. The checklists also have an archiving function to document the posting process for later reference.

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    • Part B IDEA 618 Data Processes Toolkit

      Part B IDEA 618 Data Processes Toolkit

      IDEA Program: Part B

      Using the Part B IDEA 618 Data Processes Toolkit to document data processes for all 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 toolkit contains Data Collection Protocols, a calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word and can be tailored to a state's specific documentation needs.

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    • Part C IDEA 618 Data Processes Toolkit

      Part C IDEA 618 Data Processes Toolkit

      IDEA Program: Part C

      Using the Part C IDEA 618 Data Processes Toolkit to document data processes for all 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 toolkit contains Data Collection Protocols, a calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word and can be tailored to a state's specific documentation needs.

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    • Section 618 Public Reporting Requirements

      Section 618 Public Reporting Requirements

      IDEA Program: Part B, Part C

      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.

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    • 618 Data Pre-submission Edit Check Tools

      618 Data Pre-submission Edit Check Tools

      IDEA Program: Part B, Part C

      IDC presents 618 Data Pre-submission Edit Check Tools for assisting states prepare their Part C and 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 Pre-submission Edit Check tool 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..

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    • Enhanced Pre-submission Edit Check Tools for IDEA 618 Part B Data

      Enhanced Pre-submission Edit Check Tools for IDEA 618 Part B Data

      IDC presents the Enhanced Pre-submission Edit Check Tools for IDEA 618 Part B Data to help states prepare their Part B data submissions. Currently, three resources comprise this suite of tools: Pre-submission Edit Check Tools for IDEA 618 Personnel, Exiting, and Discipline Part B EDFacts Files and two recently added tools. The two new tools are Enhanced Pre-submission Edit Check Tool for IDEA 618 Part B (C089) Ages3–5 Child Count and Educational Environment Data and Enhanced Pre-submission Edit Check Tool for IDEA 618 Part B (C002) Ages 6–21 Child Count and Educational Environment Data. States can use these tools to review the contents of their IDEA 618 EDFacts Part B personnel, exiting, and discipline data files and their child count and educational environment data files for children ages 3–5 (C089) and students ages 6–21 (C002) 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.

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    • Examining Part C Exiting Data Variation

      Examining Part C Exiting Data Variation

      White Paper

      IDEA Program: Part C

      Using national averages for each of the exiting categories, this white paper helps state personnel examine differences in their Part C Exiting data. The paper explores Part C Exiting data category definitions, as well as general and specific trends in Part C Exiting data. It also includes suggestions for possible strategies to improve data quality, including clarifying policies and definitions, documenting procedures for implementation of policies, and developing training materials related to reporting exiting data.

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    • IDEA Data Quality:  Outlier Analyses Tools

      IDEA Data Quality: Outlier Analyses Tools

      IDEA Program: Part B, Part C

      These three technical assistance products are designed to be used by the state personnel responsible for the IDEA 618 and/or 616 data. The tools include a brief that introduces the principles of outlier analysis. In addition to this brief, these products include a tutorial on completing an outlier analysis and a tool state staff can use to conduct outlier analyses with their local data.

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    • 618 Data—What’s That? Getting to Know Your 618 Data

      618 Data—What’s That? Getting to Know Your 618 Data

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      Have you heard these terms 618, 616, EDFacts, EMAPS, file specifications, OMB-MAX, GRADS360, Data Quality Reports? Do you understand what they are referencing? Do you want to gain a higher knowledge of these terms? Participants in this presentation learned more about IDEA data reporting requirements in relation to the 618 data collections. They also learned about data quality considerations and tools states can use when going through the data collecting and reporting procedures.

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    • A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)

      A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)

      2014 NCES STATS-DC Data Conference - July 28 - August 1, 2014

      IDEA Program: Part B

      IDEA allows, and sometimes requires, LEAs to use funds provided under Part B of IDEA for CEIS for students who are not receiving special education services. There are multiple data collection and reporting requirements associated with the use of these funds for CEIS. IDC staff review how a diverse subset of states and their LEAs are working to meet those requirements. Both aggregate and student-level reporting approaches are reviewed.

      View this Resource
    • A Review of State Approaches to IDEA Reporting of Coordinated Early Intervening Services (CEIS)

      A Review of State Approaches to IDEA Reporting of Coordinated Early Intervening Services (CEIS)

      Improving Data, Improving Outcomes Conference and Big B Add-on Day - Sept 8-11 2014

      IDEA Program: Part B

      IDEA allows, and sometimes requires, LEAs to use funds provided under IDEA Part B for CEIS students not identified for and receiving special education and related services. There are multiple data collection and reporting requirements associated with use of these funds for CEIS. IDC staff reviewed and led a discussion on how a diverse subset of states and their LEAs are working to meet those requirements.

      View this Resource
    • Collecting High-Quality Data: Why It Is Important

      Collecting High-Quality Data: Why It Is Important

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      This presentation focused on what is meant by the term “data quality” and provided information regarding the importance of high-quality data in the collection, reporting, and use of data in local and state decision making. Presenters shared actual examples from state experiences.

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    • Data Managers: Sharing Strategies and Solutions for Common Challenges

      Data Managers: Sharing Strategies and Solutions for Common Challenges

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      This role-alike presentation was a facilitated discussion by Part B Data Managers to explore strategies and solutions for meeting common challenges, such as working with LEAs to improve data quality, cross walking EDFacts data to SPP/APR indicators, and verifying that requirements for making data available to the public are fully met.

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    • Data Mining Section 618 Data to Prepare the APR

      Data Mining Section 618 Data to Prepare the APR

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      The required measurements for APR Indicators B3, B4, B5, B6, B9, and B10 (the assessment, discipline, LRE, and disproportionality indicators) are based on Section 618 data. This session focused on selected section 618 data submissions and how the data can be explored to provide more in-depth information for use in discussion with state’s APR stakeholders. Presenters demonstrated some practical methods for taking a deeper look at data in the IDEA EDFacts file submissions using readily available data analysis tools (Microsoft Excel).

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    • IDEA and FERPA - Understanding the Basics

      IDEA and FERPA - Understanding the Basics

      South Carolina Department of Education 2015 Research to Practice Institute - July 13-17, 2015

      IDEA Program: Part B, Part C

      This presentation informed participants of the privacy provisions under IDEA Part C, IDEA Part B, and FERPA. It covered the basics surrounding the legal requirements related to the protection of PII about children with disabilities and where to go for help with questions about privacy. The audience for the presentation included administrators and practitioners who are concerned with providing services for children and youth while maintaining the privacy of the children and youth they are serving.

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    • Moving Data Quality Downstream - Building a Culture of Data Quality at the LEA Level

      Moving Data Quality Downstream - Building a Culture of Data Quality at the LEA Level

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      Presenters and participants discussed strategies that SEAs can use to help LEAs in collecting section 618 and other state-required data that is of high-quality. They explored IDC’s Knowledge Lab that lists various resources around different data collections. The Knowledge Lab contains many resources designed to help SEAs and LEAs gather, collect, validate, and report high-quality data. The discussion allowed for state input on how the state uses or can use these resources.

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    • Show Me the Data – Data Visualization and Presentation Webinar Series (Parts 1 and 2)

      Show Me the Data – Data Visualization and Presentation Webinar Series (Parts 1 and 2)

      IDEA Program: Part B, Part C

      Chris Lysy of IDC and Shen Lee of Westat presented a pair of introductory webinar sessions on data visualization. The recordings are available to watch.

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    • State Policy and Local Implementation—Online Learning and SWDs

      State Policy and Local Implementation—Online Learning and SWDs

      CASE-NASDSE Conference, September 25-27, 2016

      IDEA Program: Part B

      Findings from IDC’s white paper and interviews of select states revealed that LEAs are responsible for determining LRE and implementation and monitoring of IEPs in online environments. Presentation of findings were followed by a panel discussion of states and LEAs to discuss key problems of practice and needs for resources that IDC can develop to support greater understanding of implications of online learning for SWDs and the relationship to high-quality data.

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    • Using Compliance Data for Program Improvement

      Using Compliance Data for Program Improvement

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      It can be challenging to bridge the huge shift from a focus on solely compliance-driven data to an emphasis on results-driven monitoring. Compliance data can be hard and fast; results-driven data can be harder to pin down. This topical burst provided an overview of compliance data, the interrelationship between compliance and results data, and existing processes that can help bridge the gap between accountability and program improvement.

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    • Visualizing IDEA Data

      Visualizing IDEA Data

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B

      IDC staff provided an introduction to data visualization approaches that are particularly useful for presenting IDEA data for the public. Participants learned simple strategies, chart types, and report styles that can be used to visualize the state’s data using Microsoft Excel, PowerPoint, and free online tools. Presenters also provided a set of activities so that participants can  continue developing their capacity in follow-up to the interactive institute.

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  • SSIP

    • A Guide to SSIP Evaluation Planning

      A Guide to SSIP Evaluation Planning

      This guide describes key steps for developing a well-thought-out plan for evaluating a SSIP. The guide provides considerations for how to incorporate each step into an evaluation plan, as well as a series of worksheets that correspond to each step and can be used to facilitate the planning process. The guide, along with its corresponding worksheets, is intended for TA providers to use in partnership with state staff.

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    • Cohort Selection - Making Decisions on Where to Focus Implementation

      Cohort Selection - Making Decisions on Where to Focus Implementation

      IDC Interactive Institutes on High-Quality Data & the SSIP - April-May 2015

      IDEA Program: Part B, Part C

      Selection of a cohort, or Transformation Zone, for SSIP implementation is a principle consideration in developing an action plan. The presentation addresses variables that states should considered in making those decisions and provides information on methods to determine readiness and eliciting involvement of an LEA/EIS.

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    • The Basics of Implementation Science

      The Basics of Implementation Science

      IDC Interactive Institutes on High-Quality Data & the SSIP - April-May 2015

      IDEA Program: Part B, Part C

      The presentation presents an overview on developing an infrastructure that supports implementation, scale-up, and sustainability of effective practices and highlights core components of implementation. Highlighted components include: Implementation Stages, Implementation Drivers, Implementation Teams, Usable Interventions, and Improvement Cycles.

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    • A Guide to SSIP Evaluation Planning

      A Guide to SSIP Evaluation Planning

      IDEA Program: Part B, Part C

      This guide describes key steps for developing a well-thought-out plan for evaluating a SSIP. The guide provides considerations for how to incorporate each step into an evaluation plan, as well as a series of worksheets that correspond to each step and can be used to facilitate the planning process. The guide, along with its corresponding worksheets, is intended for TA providers to use in partnership with state staff.

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    • A Guide to SSIP Evaluation Planning Presentation

      A Guide to SSIP Evaluation Planning Presentation

      IDEA Program: Part B, Part C

      This presentation provides an introduction to the SSIP evaluation process and an overview of key steps in planning an SSIP Evaluation. The presentation references a set of worksheets that can be used to facilitate the planning process. More information on each step, along with its corresponding worksheets, can be found in the TA document, A Guide to SSIP Evaluation Planning.

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    • Brief Overview of SSIP Evaluation Planning

      Brief Overview of SSIP Evaluation Planning

      IDEA Program: Part B, Part C

      This presentation provides a brief overview of SSIP evaluation requirements and an introduction to key steps in planning an SSIP Evaluation.

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    • Building an Effective SSIP Evaluation Team

      Building an Effective SSIP Evaluation Team

      IDC Interactive Institutes on High-Quality Data & the SSIP - April-May 2015

      IDEA Program: Part B, Part C

      The presentation offers guidance on assembling a team that is well equipped to complete the kind of evaluation states envision for their SSIP, including the types of skills and knowledge states will need represented on their evaluation teams. Helpful handouts are provided, including Guidelines for Working with Third-Party Evaluators.

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    • Developing a Logic Model for Your SSIP Evaluation

      Developing a Logic Model for Your SSIP Evaluation

      IDEA Program: Part B, Part C

      This presentation focuses on the role that developing a logic model has in overall SSIP evaluation planning.

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    • Forming Evaluation Questions for Your SSIP Evaluation

      Forming Evaluation Questions for Your SSIP Evaluation

      IDEA Program: Part B, Part C

      This presentation focuses on the development of evaluation questions during SSIP evaluation planning.

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    • National Evaluation Webinar

      National Evaluation Webinar

      IDEA Program: Part B, Part C

      A two-part “National Evaluation Webinar” series conducted by NCSI, ECTA, IDC and OSEP. The webinars focused on evaluation planning in the context of the Phase II of the SSIP, OSEP Phase II requirements, development of a quality evaluation plan, and the process of moving from a theory of action to a logic model. Panelists included Gregg Corr (OSEP), Lou Danielson (NCSI), Tom Fiore (IDC), and Megan Vinh (ECTA).

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    • Operationalizing Your SSIP Evaluation: A Self-Assessment Tool

      Operationalizing Your SSIP Evaluation: A Self-Assessment Tool

      IDEA Program: Part B, Part C

      The purpose of this tool is to lead those within a state responsible for implementing their SSIP evaluation through the process of operationalizing their SSIP evaluation plan in tandem with implementation efforts. State staff can use this interactive self-assessment to gauge their team’s progress on key components necessary for fully executing their SSIP evaluation plan and to identify action steps needed to realize the greatest benefit from their evaluation efforts.

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    • Performance Indicators As a Tool for Measuring Progress Toward a SiMR

      Performance Indicators As a Tool for Measuring Progress Toward a SiMR

      IDC Interactive Institutes on High-Quality Data & the SSIP - April-May 2015

      IDEA Program: Part B, Part C

      This presentation provides guidance on the evaluation of SSIP by differentiating between evaluating implementation and impact and reviews possible measures of progress toward achieving the SIMR. Participants discussed and provided input into development of an IDC white paper on the topic.. Currently, the white paper is in draft form and undergoing revisions based on input from the field. The published paper will be posted to the IDC Resource Library and affiliated as a related resource to the handout already posted for this session.

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    • SSIP Phase III: Operationalizing Your Evaluation Plan

      SSIP Phase III: Operationalizing Your Evaluation Plan

      IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016

      IDEA Program: Part B, Part C

      During this interactive role-alike workshop for SSIP Coordinators, the IDC Evaluation Team helped participants refine SSIP evaluation plans, identify action steps and timelines for implementing evaluation activities, and learn about resources that may be helpful in operationalizing their evaluation plans. For the 2016 Conference on Improving Data, Improving Outcomes held August 15-17, this workshop was conducted with an updated presentation and handout.

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    • Think Like an Evaluator: Backwards, Forwards, and in Circles

      Think Like an Evaluator: Backwards, Forwards, and in Circles

      IDC Interactive Institutes on High-Quality Data & the SSIP - April-May 2015

      IDEA Program: Part B, Part C

      The presentation focuses on the key aspects of planning for evaluation of the SSIP. Highlighted information includes the purpose of evaluation, setting the state for evaluation, the importance of focusing on outcomes, evaluation logic, and planning. Helpful handouts are included.

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    • Using Growth Models to Measure Child/ Student Outcomes for State Systemic Improvement Plans

      Using Growth Models to Measure Child/ Student Outcomes for State Systemic Improvement Plans

      A Guide for States

      Educators are using growth models for a variety of accountability, instructional planning, and evaluation purposes in U.S. schools. This white paper, with a focus on special education populations, provides state and local education personnel with an overview of issues to consider with growth models, a look at models currently in use, and a description of common models and a scenario of their potential use within the SSIP process.

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    • Using a Theory of Action to Develop Performance Indicators to Measure Progress Toward a SiMR

      Using a Theory of Action to Develop Performance Indicators to Measure Progress Toward a SiMR

      IDEA Program: Part B, Part C

      This white paper focuses on the relationship between SSIP Phases I and II by demonstrating how the theory of action can be used to develop the SSIP evaluation plan and performance indicators that measure progress toward the SiMR.

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