IDC Knowledge Lab
The Knowledge Lab is designed to facilitate use and dissemination of IDC and collaborative resources. Emphasis is on easy storage and retrieval of tools and products to improve learning. Resources are coded by topic area and level of user-proficiency with a specific type of resource or familiarity with a topic. Presentations and webinars appear under a Presentations tab.
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SEA EDFacts Edit Check and Data Display ToolsIDEA Program:
IDC's SEA and LEA EDFacts Edit Check and Data Display Tools for assisting states as they prepare their Part B data submissions. States can use the tools to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. Several of the tools are updated versions of the DTS originally published by (DAC), and this resource includes a zip file of 508 accessible versions of those tools. The MOE and CEIS Edit Check and Data Display Tools that IDC and CIFR developed allows states to input LEA-level data into the base data tab and generates edit check messages that are displayed in the auto-calculations tab.
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The Assessment Data Journey: Are We There Yet?IDEA Program:
Data for Part B Indicator 3 follow a long and complicated process that begins when a student is registered as a test taker in a state assessment system and ends with public reporting via the SPP/APR. Multiple factors are involved in this process, and regular and ongoing communication and collaboration among the various people involved can make this process easier. This suite of four resources can help states with the work. The interactive infographic provides general information about the process for a typical state.
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There are no resources for this portion of the Knowledge Lab. Please choose another tab or section.
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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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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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A Guide to SSIP Evaluation PlanningIDEA Program:
This guide describes key steps for developing a well-thought-out plan for evaluating an 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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SSIP Phase III: Operationalizing Your Evaluation PlanIDEA Program: Part B, Part C, SSIP Evaluation, State Systemic Improvement Plan - SSIP
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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Developing a Logic Model for Your SSIP EvaluationIDEA Program: Evaluation, Part B, Part C, State Systemic Improvement Plan - SSIP
This presentation focuses on the role that developing a logic model has in overall SSIP evaluation planning.
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Performance Indicators As a Tool for Measuring Progress Toward a SiMRIDEA Program: Evaluation, Part B, Part C, State Systemic Improvement Plan - SSIP
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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Think Like an Evaluator: Backwards, Forwards, and in CirclesIDEA Program: Evaluation, Part B, Part C, State Systemic Improvement Plan - SSIP
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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Building an Effective SSIP Evaluation TeamIDEA Program: Evaluation, Part B, Part C, SSIP Evaluation, State Systemic Improvement Plan - SSIP
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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National Evaluation WebinarIDEA Program: Evaluation, Part B, Part C, SSIP Evaluation, State Systemic Improvement Plan - SSIP
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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A Guide to SSIP Evaluation Planning PresentationIDEA Program: Evaluation, Part B, Part C, SSIP Evaluation, State Systemic Improvement Plan - SSIP
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 PlanningIDEA Program: Evaluation, Part B, Part C, SSIP Evaluation, State Systemic Improvement Plan - SSIP
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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Forming Evaluation Questions for Your SSIP EvaluationIDEA Program: Evaluation, Part B, Part C, SSIP Evaluation, State Systemic Improvement Plan - SSIP
This presentation focuses on the development of evaluation questions during SSIP evaluation planning.
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This white paper focuses on considerations that could lead Part C or Part B state agencies to propose a change in their SIMR baselines or targets. It defines baselines and targets in the context of SSIP, illustrates the importance of baselines and targets, and provides reasons for a state to propose changing its baselines or targets.
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SSIP Phase II Process GuideIDEA Program: State Systemic Improvement Plan - SSIP
The SSIP Phase II Process Guide describes the steps needed to accomplish the work of the three components of Phase II. It lists tools and resources and defines key terms to support the work.
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Sample SSIP Action Plan TemplateIDEA Program: State Systemic Improvement Plan - SSIP
This Action Plan Template provides a format to assist states in developing their Phase II SSIP improvement and evaluation plan.
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The Basics of Implementation ScienceIDEA Program: Part B, Part C, State Systemic Improvement Plan - SSIP
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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Cohort Selection - Making Decisions on Where to Focus ImplementationIDEA Program: Part B, Part C, State Systemic Improvement Plan - SSIP
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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SEA EDFacts Edit Check and Data Display ToolsIDEA Program:
IDC's SEA and LEA EDFacts Edit Check and Data Display Tools for assisting states as they prepare their Part B data submissions. States can use the tools to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. Several of the tools are updated versions of the DTS originally published by (DAC), and this resource includes a zip file of 508 accessible versions of those tools. The MOE and CEIS Edit Check and Data Display Tools that IDC and CIFR developed allows states to input LEA-level data into the base data tab and generates edit check messages that are displayed in the auto-calculations tab.
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IDEA Data Quality: Outlier Analyses ToolsIDEA Program:
IDC designed these two technical assistance products to be used by state personnel responsible for IDEA 618 and/or 616 data. The products include a step-by-step guide on completing an outlier analysis, with a brief introduction on the principles of outlier analyses, and a tool state staff can use to conduct outlier analyses with their local data. IDEA Part B state staff working with LEAs also can use both products to analyze their local data.
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The Maintenance of Effort (MOE) Reduction Eligibility Worksheets includes two documents to assist SEAs and LEAs/ESAs with MOE reduction. The first is an Excel-based worksheet that facilitates the calculation of the maximum allowable amount of MOE reduction and CEIS for the LEA/ESAs. The second document is an Excel-based worksheet that facilitates the calculation of the maximum allowable amount of MOE reduction and CEIS for all the LEAs/ESAs within the SEA.
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The Maintenance of Effort (MOE) Reduction Eligibility Decision Tree guides SEAs and LEAs/ESAs through a series of questions to determine an LEA’s/ESA's eligibility to reduce MOE.
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This FAQ document focuses on helping SEAs and LEAs understand CEIS and its reporting requirements. SEAs and LEAs can use the resource in conjunction with the OSEP Guidance Memo 08-09.
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Building an SSIP Evaluation PlanIDEA Program: Evaluation, Part B, Part C, State Systemic Improvement Plan - SSIP
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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This TA guide addresses the more common methods for calculating racial/ethnic disproportionality in special education. IDC revised the guide, which the Data Accountability Center (DAC) originally published in October 2011, because of a change in SPP/APR Indicators 9 and 10 to remove underrepresentation from the measure.
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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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IDC and PSC: Whom Do I Call and When?IDEA Program: Part B, Part C, Public Reporting of IDEA Data
IDC and the Partner Support Center (PSC) are both available to help states with IDEA Part B 618 data needs. However, each center has a different primary purpose. This resource helps guide states about contacting IDC or PSC when they have Part B 618 data questions or concerns.
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EDFacts IDEA Discipline Data InfographicIDEA Program:
The EDFacts IDEA Discipline Data Infographic provides basic information about the EDFacts file specifications states use to submit IDEA Discipline data to the U.S. Department of Education. The infographic outlines details about Discipline data for children and youth with disabilities ages 3 through 21 that states must include in their annual submission of EDFacts files FS005, FS006, FS007, FS088, FS143, and FS144.
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IDEA Part B Confidentiality ChecklistIDEA Program:
The IDEA Part B Confidentiality Checklist can aid state and local agencies in identifying actions, policies, and procedures needed to meet confidentiality provisions outlined in the IDEA Part B, 20 U.S.C. §1400.
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The Reporting Educational Environments resource has been updated with 2017-18 clarifications. State data managers, 619 coordinators, local 619 personnel, technical assistance providers, and other interested parties can use the resource to help with 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 resource's materials as “standalone” tools or as a set.
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This technical assistance document focuses on helping SEAs and LEAs better understand voluntary CEIS and its reporting requirements. It also provides examples of various data collection and reporting methods states use to collect and report voluntary CEIS data.
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Section 618 Public Reporting RequirementsIDEA Program:
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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Where Do They Go? Capturing Accurate Part C Exiting DataIDEA Program: Data Governance, Part B - 619, Part C
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 Process MappingIDEA 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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Collecting High-Quality Data: Why It Is ImportantIDEA Program: 618 Data, 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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Using Compliance Data for Program ImprovementIDEA Program: 618 Data, Part B, State Performance Plan - SPP and Annual Performance Report - APR
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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Data Managers: Sharing Strategies and Solutions for Common ChallengesIDEA Program: Part B, Public Reporting of IDEA Data, State Performance Plan - SPP and Annual Performance Report - APR
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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High-Quality Data to Support Improved Outcomes on Selected IndicatorsIDEA Program: Data Governance, Part B, State Performance Plan - SPP and Annual Performance Report - APR
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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Visualizing IDEA DataIDEA Program: 618 Data, Data Visualization, Part B, Public Reporting of IDEA Data
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 participants can continue developing their capacity in follow-up to the interactive institute.
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Data Mining Section 618 Data to Prepare the APRIDEA Program: 618 Data, Disproportionality and Success Gaps, Part B, State Performance Plan - SPP and Annual Performance Report - APR
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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Moving Data Quality Downstream - Building a Culture of Data Quality at the LEA LevelIDEA Program: 618 Data, 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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How Two States Increased Their Post-School Outcomes (B14) Return RatesIDEA Program: Part B, State Performance Plan - SPP and Annual Performance Report - APR, State Systemic Improvement Plan - SSIP
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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Helping IDC Work for YouIDEA 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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Public Reporting of Section 618 Data: Regulations, Processes, and PitfallsIDEA Program: 618 Data, Part B, Part C, Public Reporting of IDEA Data
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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Part B Transition Indicators: Supporting States in the SSIPIDEA Program: Part B, State Systemic Improvement Plan - SSIP
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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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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A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)IDEA Program: 618 Data, Part B, Public Reporting of IDEA Data
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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Show Me the Data – Data Visualization and Presentation Webinar Series (Parts 1 and 2)IDEA Program: Data Visualization, Part B, Part C
Recordings of a pair of introductory webinar sessions on data visualization are available to watch.
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IDEA and FERPA - Understanding the BasicsIDEA Program: Part B, Part C, Privacy and Confidentiality
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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Equity, Inclusion, and Opportunity in Special Education WebinarIDEA Program: Disproportionality and Success Gaps, 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 EducationIDEA Program: Disproportionality and Success Gaps, 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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Overview of IDEA Discipline Data Reporting InfographicIDEA Program: 618 Data, 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 C Indicator Data Display WizardIDEA Program: 618 Data, Data Visualization, Part C, Public Reporting of IDEA Data, State Performance Plan - SPP and Annual Performance Report - APR
This Version 2.0 of the Data Display Wizard creates data displays based on user entry of SPP/APR data. The tool gives users various options for displaying that data. LA staff can use this tool to engage with various stakeholders on how to best display reported SPP/APR data based on the audience, message, and purpose of the desired report or presentation.
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IDC and CIFR developed the SEA Edit Check and Data Display Tool - Part B MOE and CEIS to help states prepare their Part B MOE and CEIS data submission. States can use the tool to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. The tool allows states to input LEA-level data into the base data tab and generates edit check messages that the tool displays in the auto-calculations tab. IDC and CIFR updated the MOE and CEIS edit check tool with the revised reporting years and to reflect updates to three edit checks.
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IDC presents the SEA Edit Check and Data Display Tools for IDEA 618 Part B Data to help states prepare their Part B data submissions. States can use these tools to review the contents of their IDEA 618 EDFacts Part B personnel, exiting, discipline and child count and educational environment data for children ages 3–5 (FS089) and students ages 6–21 (FS002) prior to submission to the EDFacts Submission System or ESS. The tools apply edit checks and identify potential errors in subtotals or totals in the data files. In addition, the tools provide user-friendly summaries of the 618 data. The tools are enhanced versions of the SEA Edit Check and Data Display Tools for personnel, exiting, discipline, and child count and educational environment data. The main difference is the enhanced edit check tools require states to directly copy and paste the EDFacts data files they will submit to ESS as opposed to manually entering data into an Excel file in a format that is different than the one required for submission to ESS.
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SEA EDFacts Edit Check and Data Display ToolsIDEA Program:
IDC's SEA and LEA EDFacts Edit Check and Data Display Tools for assisting states as they prepare their Part B data submissions. States can use the tools to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. Several of the tools are updated versions of the DTS originally published by (DAC), and this resource includes a zip file of 508 accessible versions of those tools. The MOE and CEIS Edit Check and Data Display Tools that IDC and CIFR developed allows states to input LEA-level data into the base data tab and generates edit check messages that are displayed in the auto-calculations tab.
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IDEA Data Quality: Outlier Analyses ToolsIDEA Program:
IDC designed these two technical assistance products to be used by state personnel responsible for IDEA 618 and/or 616 data. The products include a step-by-step guide on completing an outlier analysis, with a brief introduction on the principles of outlier analyses, and a tool state staff can use to conduct outlier analyses with their local data. IDEA Part B state staff working with LEAs also can use both products to analyze their local data.
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Part C Indicator Data Display WizardIDEA Program: 618 Data, Data Visualization, Part C, Public Reporting of IDEA Data, State Performance Plan - SPP and Annual Performance Report - APR
This Version 2.0 of the Data Display Wizard creates data displays based on user entry of SPP/APR data. The tool gives users various options for displaying that data. LA staff can use this tool to engage with various stakeholders on how to best display reported SPP/APR data based on the audience, message, and purpose of the desired report or presentation.
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IDEA Part B Indicator 12 Transition Template: Calculating Data WorksheetIDEA Program: State Performance Plan - SPP and Annual Performance Report - APR
The tool converts state and LEAs early childhood transition data into percentages. Use of the tool 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.
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Educational Environments 3-5 Data Template: Calculating Local Data WorksheetIDEA Program: 618 Data, Part B - 619, State Performance Plan - SPP and Annual Performance Report - APR
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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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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IDC and PSC: Whom Do I Call and When?IDEA Program: Part B, Part C, Public Reporting of IDEA Data
IDC and the Partner Support Center (PSC) are both available to help states with IDEA Part B 618 data needs. However, each center has a different primary purpose. This resource helps guide states about contacting IDC or PSC when they have Part B 618 data questions or concerns.
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SEA Data Processes ToolkitIDEA Program:
Using the SEA Data Processes Toolkit to document data processes for all 616 and 618 data collections will establish a well-managed process for data collection, validation, and submission. In collaboration with IDC State Liaisons, states can use the toolkit to create and maintain a culture of high-quality data and establish and support consistent practices that produce valid and reliable data, while building the capacity of state staff.
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EDFacts IDEA Discipline Data InfographicIDEA Program:
The EDFacts IDEA Discipline Data Infographic provides basic information about the EDFacts file specifications states use to submit IDEA Discipline data to the U.S. Department of Education. The infographic outlines details about Discipline data for children and youth with disabilities ages 3 through 21 that states must include in their annual submission of EDFacts files FS005, FS006, FS007, FS088, FS143, and FS144.
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Part C IDEA Data Processes ToolkitIDEA Program: 618 Data, Part C
Using the Part C IDEA Data Processes Toolkit to document data processes for all 616 and 618 data collections will establish a well-managed process for data collection, validation, and submission. In collaboration with IDC State Liaisons, states can use the toolkit to create and maintain a culture of high-quality data and establish and support consistent practices that produce valid and reliable data, while building the capacity of state staff. The toolkit contains an overview of the toolkit, Data Collection Protocols, SPP/APR Indicator Protocols, a State Landscape Protocol, a Local EI Program Determinations Protocol, a Data Collections Calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word, and states can tailor them meet their states' specific documentation needs.
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Part C Exiting CountsIDEA Program: 618 Data, 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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Quick Reference Guide on Coordinated Early Intervening ServicesIDEA Program: 618 Data
Developed by CIFR, in collaboration with IDC, this three-page quick reference guide assists states, LEAs, and stakeholders to better understand basic CEIS requirements stipulated in IDEA. The guide is updated to reflect 2016 changes in the IDEA Part B regulations on significant disproportionality. The guide describes the requirements for the provision of CEIS, the use of CEIS funds, the interaction of CEIS funds and local MOE 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 EffortIDEA Program: 618 Data
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 RequirementsIDEA Program:
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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Where Do They Go? Capturing Accurate Part C Exiting DataIDEA Program: Data Governance, Part B - 619, Part C
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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618 Data—What’s That? Getting to Know Your 618 DataIDEA Program: 618 Data, 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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Data Process MappingIDEA 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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Reporting and Using Data to Ensure Successful Transitions in Early Childhood WebinarIDEA Program: 618 Data, Part B, Part C, State Performance Plan - SPP and Annual Performance Report - APR
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.
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A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)IDEA Program: 618 Data, Part B, Public Reporting of IDEA Data
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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Overview of IDEA Discipline Data Reporting InfographicIDEA Program: 618 Data, 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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SEA EDFacts Edit Check and Data Display ToolsIDEA Program:
IDC's SEA and LEA EDFacts Edit Check and Data Display Tools for assisting states as they prepare their Part B data submissions. States can use the tools to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. Several of the tools are updated versions of the DTS originally published by (DAC), and this resource includes a zip file of 508 accessible versions of those tools. The MOE and CEIS Edit Check and Data Display Tools that IDC and CIFR developed allows states to input LEA-level data into the base data tab and generates edit check messages that are displayed in the auto-calculations tab.
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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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EDFacts IDEA Discipline Data InfographicIDEA Program:
The EDFacts IDEA Discipline Data Infographic provides basic information about the EDFacts file specifications states use to submit IDEA Discipline data to the U.S. Department of Education. The infographic outlines details about Discipline data for children and youth with disabilities ages 3 through 21 that states must include in their annual submission of EDFacts files FS005, FS006, FS007, FS088, FS143, and FS144.
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Equity, Inclusion, & Opportunity: Addressing Success GapsIDEA Program: Disproportionality and Success Gaps, 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.
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Equity, Inclusion, and Opportunity in Special Education WebinarIDEA Program: Disproportionality and Success Gaps, 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: Addressing Success GapsIDEA Program: Disproportionality and Success Gaps, Part B, State Systemic Improvement Plan - SSIP
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.
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Spreadsheet Application for Calculating Disproportionality Measures and User’s Guide: Spreadsheet Application for Calculating Disproportionality Measures (Revised)IDEA Program: Disproportionality and Success Gaps, Part B
States can use the Excel spreadsheet application for calculating disproportionality measures and accompanying user's guide in their assessment of racial/ethnic disproportionality. The spreadsheet application calculates several disproportionality measures and the User’s Guide provides instructions for using the spreadsheet application.
Please note this resource is currently not 508 accessible. If you need assistance with the use of this resource, please contact us at www.ideadata.org.
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Equity, Inclusion, and Opportunity: Addressing Success Gaps, White PaperIDEA Program: Disproportionality and Success Gaps, Part B, State Systemic Improvement Plan - SSIP
This white paper focuses on elements of equity, inclusion, and opportunity that can minimize or eliminate success gaps among different groups of students. It provides the research-based background that guided development of a complementary rubric that schools or districts can use to systematically examine the root causes of success gaps among groups of their students. The white paper has been updated recently and now includes considerations for children as young as preschool.
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This TA guide addresses the more common methods for calculating racial/ethnic disproportionality in special education. IDC revised the guide, which the Data Accountability Center (DAC) originally published in October 2011, because of a change in SPP/APR Indicators 9 and 10 to remove underrepresentation from the measure.
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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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Equity Requirements in IDEAIDEA Program:
This resource compares the three equity requirements in IDEA (disproportionate representation, significant discrepancy, and significant disproportionality) across various elements to explain the similarities and the differences among the requirements.
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EDFacts IDEA Discipline Data InfographicIDEA Program:
The EDFacts IDEA Discipline Data Infographic provides basic information about the EDFacts file specifications states use to submit IDEA Discipline data to the U.S. Department of Education. The infographic outlines details about Discipline data for children and youth with disabilities ages 3 through 21 that states must include in their annual submission of EDFacts files FS005, FS006, FS007, FS088, FS143, and FS144.
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In December 2016, OSEP finalized new regulations on significant disproportionality (34 CFR §300.646). These regulations enforce the use of IDEA funds for mandatory CCEIS, which LEAs provide upon identification of significant disproportionality, and distinguish use of funds for CCEIS from the use of IDEA funds for voluntary CEIS. This resource is a handy chart that outlines the differences between CCEIS and voluntary CEIS.
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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.
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Using Data to Explore and Prepare for Expected Changes to Significant Disproportionality: What Should Your State Be Thinking About?IDEA Program: Disproportionality and Success Gaps, 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.
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Data Mining Section 618 Data to Prepare the APRIDEA Program: 618 Data, Disproportionality and Success Gaps, Part B, State Performance Plan - SPP and Annual Performance Report - APR
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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Equity, Inclusion, & Opportunity: Addressing Success GapsIDEA Program: Disproportionality and Success Gaps, 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.
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Equity, Inclusion, and Opportunity in Special EducationIDEA Program: Disproportionality and Success Gaps, 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: Addressing Success Gaps via the SSIP ProcessIDEA Program: Disproportionality and Success Gaps, Part B, State Systemic Improvement Plan - SSIP
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.
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Equity, Inclusion and Opportunity: Addressing Success GapsIDEA Program: Disproportionality and Success Gaps, Part B, State Systemic Improvement Plan - SSIP
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.
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Educational Environments 3-5 Data Template: Calculating Local Data WorksheetIDEA Program: 618 Data, Part B - 619, State Performance Plan - SPP and Annual Performance Report - APR
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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The Reporting Educational Environments resource has been updated with 2017-18 clarifications. State data managers, 619 coordinators, local 619 personnel, technical assistance providers, and other interested parties can use the resource to help with 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 resource's materials as “standalone” tools or as a set.
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State Policy and Local Implementation—Online Learning and SWDsIDEA Program: 618 Data, 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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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.
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Part C Exiting ToolkitIDEA Program: Part C
The Part C Exiting Toolkit allows for one-stop “shopping” for Part C data managers and coordinators. It provides (1) resources for documenting the exiting process, (2) resources to check exiting data, (3) a link to the Part C Exiting Counts app, and (4) other great resources. It is a great tool for both new and experienced staff.
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SEA EDFacts Edit Check and Data Display ToolsIDEA Program:
IDC's SEA and LEA EDFacts Edit Check and Data Display Tools for assisting states as they prepare their Part B data submissions. States can use the tools to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. Several of the tools are updated versions of the DTS originally published by (DAC), and this resource includes a zip file of 508 accessible versions of those tools. The MOE and CEIS Edit Check and Data Display Tools that IDC and CIFR developed allows states to input LEA-level data into the base data tab and generates edit check messages that are displayed in the auto-calculations tab.
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IDEA Part B Indicator 12 Transition Template: Calculating Data WorksheetIDEA Program: State Performance Plan - SPP and Annual Performance Report - APR
The tool converts state and LEAs early childhood transition data into percentages. Use of the tool 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.
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Examining Part C Exiting Data VariationIDEA Program: 618 Data, 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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Part C Exiting ToolkitIDEA Program: Part C
The Part C Exiting Toolkit allows for one-stop “shopping” for Part C data managers and coordinators. It provides (1) resources for documenting the exiting process, (2) resources to check exiting data, (3) a link to the Part C Exiting Counts app, and (4) other great resources. It is a great tool for both new and experienced staff.
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Part C Exiting CountsIDEA Program: 618 Data, 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 Exiting Data Matrix: Categories with Child-Level ExamplesIDEA Program: 618 Data, 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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Reporting and Using Data to Ensure Successful Transitions in Early Childhood WebinarIDEA Program: 618 Data, Part B, Part C, State Performance Plan - SPP and Annual Performance Report - APR
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.
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How Two States Increased Their Post-School Outcomes (B14) Return RatesIDEA Program: Part B, State Performance Plan - SPP and Annual Performance Report - APR, State Systemic Improvement Plan - SSIP
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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Part B Transition Indicators: Supporting States in the SSIPIDEA Program: Part B, State Systemic Improvement Plan - SSIP
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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There are no resources for this portion of the Knowledge Lab. Please choose another tab or section.
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EDFacts IDEA Discipline Data InfographicIDEA Program:
The EDFacts IDEA Discipline Data Infographic provides basic information about the EDFacts file specifications states use to submit IDEA Discipline data to the U.S. Department of Education. The infographic outlines details about Discipline data for children and youth with disabilities ages 3 through 21 that states must include in their annual submission of EDFacts files FS005, FS006, FS007, FS088, FS143, and FS144.
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The Reporting Educational Environments resource has been updated with 2017-18 clarifications. State data managers, 619 coordinators, local 619 personnel, technical assistance providers, and other interested parties can use the resource to help with 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 resource's materials as “standalone” tools or as a set.
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Collecting High-Quality Data: Why It Is ImportantIDEA Program: 618 Data, 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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How Two States Increased Their Post-School Outcomes (B14) Return RatesIDEA Program: Part B, State Performance Plan - SPP and Annual Performance Report - APR, State Systemic Improvement Plan - SSIP
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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Part B Transition Indicators: Supporting States in the SSIPIDEA Program: Part B, State Systemic Improvement Plan - SSIP
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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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.
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Improving Data Quality in Part C Family and Part B Parent Surveys WebinarIDEA Program: Part B, Part B - 619, Part C
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.
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Using State Data to Inform Parent Center WorkIDEA Program: Part B, Part C, State Performance Plan - SPP and Annual Performance Report - APR, State Systemic Improvement Plan - SSIP
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.
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IDC and CIFR developed the SEA Edit Check and Data Display Tool - Part B MOE and CEIS to help states prepare their Part B MOE and CEIS data submission. States can use the tool to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. The tool allows states to input LEA-level data into the base data tab and generates edit check messages that the tool displays in the auto-calculations tab. IDC and CIFR updated the MOE and CEIS edit check tool with the revised reporting years and to reflect updates to three edit checks.
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Produced by IDC and CIFR, this resource discusses each of the four new data elements OSEP is adding related to the LEA MOE provisions of IDEA in the MOE Reduction and CEIS data collection. The resource reviews each new element, presents information about actions the SEA may take to address and answer the questions posed for each of the four data elements, and provides additional support and assistance as states prepare to collect and submit these data.
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The Maintenance of Effort (MOE) Reduction Eligibility Worksheets includes two documents to assist SEAs and LEAs/ESAs with MOE reduction. The first is an Excel-based worksheet that facilitates the calculation of the maximum allowable amount of MOE reduction and CEIS for the LEA/ESAs. The second document is an Excel-based worksheet that facilitates the calculation of the maximum allowable amount of MOE reduction and CEIS for all the LEAs/ESAs within the SEA.
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The Maintenance of Effort (MOE) Reduction Eligibility Decision Tree guides SEAs and LEAs/ESAs through a series of questions to determine an LEA’s/ESA's eligibility to reduce MOE.
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In December 2016, OSEP finalized new regulations on significant disproportionality (34 CFR §300.646). These regulations enforce the use of IDEA funds for mandatory CCEIS, which LEAs provide upon identification of significant disproportionality, and distinguish use of funds for CCEIS from the use of IDEA funds for voluntary CEIS. This resource is a handy chart that outlines the differences between CCEIS and voluntary CEIS.
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This FAQ document focuses on helping SEAs and LEAs understand CEIS and its reporting requirements. SEAs and LEAs can use the resource in conjunction with the OSEP Guidance Memo 08-09.
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Quick Reference Guide on Coordinated Early Intervening ServicesIDEA Program: 618 Data
Developed by CIFR, in collaboration with IDC, this three-page quick reference guide assists states, LEAs, and stakeholders to better understand basic CEIS requirements stipulated in IDEA. The guide is updated to reflect 2016 changes in the IDEA Part B regulations on significant disproportionality. The guide describes the requirements for the provision of CEIS, the use of CEIS funds, the interaction of CEIS funds and local MOE reductions, and reporting obligations. It concludes with questions and additional resources for states to consider.
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This technical assistance document focuses on helping SEAs and LEAs better understand voluntary CEIS and its reporting requirements. It also provides examples of various data collection and reporting methods states use to collect and report voluntary CEIS data.
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Quick Reference Guide on IDEA Local Educational Agency Maintenance of EffortIDEA Program: 618 Data
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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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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A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)IDEA Program: 618 Data, Part B, Public Reporting of IDEA Data
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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Part C IDEA Data Processes ToolkitIDEA Program: 618 Data, Part C
Using the Part C IDEA Data Processes Toolkit to document data processes for all 616 and 618 data collections will establish a well-managed process for data collection, validation, and submission. In collaboration with IDC State Liaisons, states can use the toolkit to create and maintain a culture of high-quality data and establish and support consistent practices that produce valid and reliable data, while building the capacity of state staff. The toolkit contains an overview of the toolkit, Data Collection Protocols, SPP/APR Indicator Protocols, a State Landscape Protocol, a Local EI Program Determinations Protocol, a Data Collections Calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word, and states can tailor them meet their states' specific documentation needs.
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IDC presents the SEA Edit Check and Data Display Tools for IDEA 618 Part B Data to help states prepare their Part B data submissions. States can use these tools to review the contents of their IDEA 618 EDFacts Part B personnel, exiting, discipline and child count and educational environment data for children ages 3–5 (FS089) and students ages 6–21 (FS002) prior to submission to the EDFacts Submission System or ESS. The tools apply edit checks and identify potential errors in subtotals or totals in the data files. In addition, the tools provide user-friendly summaries of the 618 data. The tools are enhanced versions of the SEA Edit Check and Data Display Tools for personnel, exiting, discipline, and child count and educational environment data. The main difference is the enhanced edit check tools require states to directly copy and paste the EDFacts data files they will submit to ESS as opposed to manually entering data into an Excel file in a format that is different than the one required for submission to ESS.
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SEA EDFacts Edit Check and Data Display ToolsIDEA Program:
IDC's SEA and LEA EDFacts Edit Check and Data Display Tools for assisting states as they prepare their Part B data submissions. States can use the tools to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. Several of the tools are updated versions of the DTS originally published by (DAC), and this resource includes a zip file of 508 accessible versions of those tools. The MOE and CEIS Edit Check and Data Display Tools that IDC and CIFR developed allows states to input LEA-level data into the base data tab and generates edit check messages that are displayed in the auto-calculations tab.
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IDEA Data Quality: Outlier Analyses ToolsIDEA Program:
IDC designed these two technical assistance products to be used by state personnel responsible for IDEA 618 and/or 616 data. The products include a step-by-step guide on completing an outlier analysis, with a brief introduction on the principles of outlier analyses, and a tool state staff can use to conduct outlier analyses with their local data. IDEA Part B state staff working with LEAs also can use both products to analyze their local data.
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Examining Part C Exiting Data VariationIDEA Program: 618 Data, 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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SEA Data Processes ToolkitIDEA Program:
Using the SEA Data Processes Toolkit to document data processes for all 616 and 618 data collections will establish a well-managed process for data collection, validation, and submission. In collaboration with IDC State Liaisons, states can use the toolkit to create and maintain a culture of high-quality data and establish and support consistent practices that produce valid and reliable data, while building the capacity of state staff.
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EDFacts IDEA Discipline Data InfographicIDEA Program:
The EDFacts IDEA Discipline Data Infographic provides basic information about the EDFacts file specifications states use to submit IDEA Discipline data to the U.S. Department of Education. The infographic outlines details about Discipline data for children and youth with disabilities ages 3 through 21 that states must include in their annual submission of EDFacts files FS005, FS006, FS007, FS088, FS143, and FS144.
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Part C IDEA Data Processes ToolkitIDEA Program: 618 Data, Part C
Using the Part C IDEA Data Processes Toolkit to document data processes for all 616 and 618 data collections will establish a well-managed process for data collection, validation, and submission. In collaboration with IDC State Liaisons, states can use the toolkit to create and maintain a culture of high-quality data and establish and support consistent practices that produce valid and reliable data, while building the capacity of state staff. The toolkit contains an overview of the toolkit, Data Collection Protocols, SPP/APR Indicator Protocols, a State Landscape Protocol, a Local EI Program Determinations Protocol, a Data Collections Calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word, and states can tailor them meet their states' specific documentation needs.
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Section 618 Public Reporting RequirementsIDEA Program:
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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State Policy and Local Implementation—Online Learning and SWDsIDEA Program: 618 Data, 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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618 Data—What’s That? Getting to Know Your 618 DataIDEA Program: 618 Data, 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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Collecting High-Quality Data: Why It Is ImportantIDEA Program: 618 Data, 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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Using Compliance Data for Program ImprovementIDEA Program: 618 Data, Part B, State Performance Plan - SPP and Annual Performance Report - APR
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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Data Managers: Sharing Strategies and Solutions for Common ChallengesIDEA Program: Part B, Public Reporting of IDEA Data, State Performance Plan - SPP and Annual Performance Report - APR
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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Visualizing IDEA DataIDEA Program: 618 Data, Data Visualization, Part B, Public Reporting of IDEA Data
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 participants can continue developing their capacity in follow-up to the interactive institute.
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Data Mining Section 618 Data to Prepare the APRIDEA Program: 618 Data, Disproportionality and Success Gaps, Part B, State Performance Plan - SPP and Annual Performance Report - APR
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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Moving Data Quality Downstream - Building a Culture of Data Quality at the LEA LevelIDEA Program: 618 Data, 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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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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A Review of State Approaches to IDEA Reporting Coordinated Early Intervening Service (CEIS)IDEA Program: 618 Data, Part B, Public Reporting of IDEA Data
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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Show Me the Data – Data Visualization and Presentation Webinar Series (Parts 1 and 2)IDEA Program: Data Visualization, Part B, Part C
Recordings of a pair of introductory webinar sessions on data visualization are available to watch.
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IDEA and FERPA - Understanding the BasicsIDEA Program: Part B, Part C, Privacy and Confidentiality
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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