The Maintenance of Effort (MOE) Reduction Eligibility Worksheets, developed by the IDEA Data Center, 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.
Federally funded TA center
Collecting and Tracking Maintenance of Effort Data
This web-based resource is designed to assist lead agencies in establishing a process for annually collecting and tracking the budgeting and expenditures of state and local funds to determine if MOE is met for IDEA Part C. The resource provides an overview of the IDEA regulatory requirements for MOE, steps for developing a methodology for calculating and tracking MOE, answers to critical questions, and links to resources including an Excel-based MOE calculator.
This product was jointly developed by the Early Childhood Technical Assistance (ECTA) Center, the Center for IDEA Early Childhood Data Systems (DaSy), and the IDEA Infant & Toddler Coordinators Association.
Part C Fiscal 101 Modules: Federal Fiscal Requirements
The Early Childhood Technical Assistance (ECTA) Center developed 10 modules to help Part C lead agency staff understand the federal fiscal requirements associated with IDEA Part C funding as well as requirements that apply to all federal funding. Each module addresses a specific component of the fiscal requirements, providing an overview of each topic.
Module 4 covers use of funds, allowability and prior approval.
Module 5 covers the indirect cost requirements found in Subpart E of the Uniform Guidance and Sections III and IV of the state grant application.
Module 10 covers the MOE requirement, located in the supplement not supplant requirement under 34 CFR § 303.225(a)(2).
System Framework for Building High-Quality Early Intervention and Preschool Special Education Programs: Finance Component
The Early Childhood Technical Assistance Center (ECTA) and the Center for IDEA Early Childhood Data Systems (DaSy) developed a System Framework that details six components of a high-quality IDEA early childhood program. Each component includes indicators of quality and the elements that need to be in place to achieve each indicator. This web page reviews the Finance Component, its sub-components, and quality indicators which address strategic planning and forecasting; access and use of fiscal data; securing funds and resources; and the allocation, use, disbursement, and monitoring of funds.
Use of Data for Fiscal Management of State Part C Systems
The Center for IDEA Early Childhood Data Systems (DaSy) developed this document to increase the knowledge and skills of lead agency staff regarding the use of federal funds and planning the annual budget for the Part C program. It provides an in-depth look at the integral role of fiscal data in the development, management, and use of Part C funds including basic budget management information, examples of analysis, and samples of reports, forms, and other tools.
Fiscal Data Profile Template
The Center for IDEA Early Childhood Data Systems (DaSy) and the Early Childhood Technical Assistance Center (ECTA) developed this Excel tool that can be used to budget how Part C funds will be used for personnel, allowable activities, and direct services (Sections III.A.- C. in the grant template). The Fiscal Data Profile details and converts state IDEA Part C demographic, service delivery, infrastructure, administrative, and fiscal data into engaging and informative graphical displays (i.e., profiles) to support fiscal management, conduct general supervision activities, and engage with stakeholders, such as Interagency Coordinating Councils.
Understanding and Using Fiscal Data: A Guide for Part C State Staff
The Center for IDEA Early Childhood Data Systems (DaSy) developed this document to provide an overview of the critical role of fiscal data in state IDEA Part C systems. The guide is intended to help state Part C lead agency staff better understand how to collect and analyze fiscal data elements. It provides examples of ways to communicate with stakeholders about fiscal data and addresses questions related to the use of Part C funds.
Spreadsheet Application for Calculating Disproportionality Measures and User’s Guide: Spreadsheet Application for Calculating Disproportionality Measures (Revised)
The Excel spreadsheet application and user’s guide are tools to help states in their assessments of racial/ethnic disproportionality in LEAs. The spreadsheet application calculates several disproportionality measures. The user’s guide includes an overview of the spreadsheet application, discussions on data requirements, instructions for using the spreadsheet application, and information on getting help with questions and/or problems. This resource complements IDC’s previously published technical assistance document, Methods for Assessing Racial/Ethnic Disproportionality in Special Education: A Technical Assistance Guide (Revised), which provides additional information about the measures calculated by the spreadsheet. This spreadsheet is intended to help SEA staff determine which of their LEAs have significant disproportionality based on data that are required as part of the EMAPS IDEA Part B MOE Reduction and CEIS data collection.
Navigating Coordinated Early Intervening Services (CEIS) Frequently Asked Questions (FAQ)
This FAQ document developed by the OSEP-funded IDEA Data Center (IDC) 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.
Methods for Assessing Racial/Ethnic Disproportionality in Special Education: A Technical Assistance Guide (Revised)
This technical assistance guide can be used by SEA staff members who analyze, interpret, and/or make decisions based on disproportionality data and analyses. This guide describes some of the more common methods for calculating disproportionality, summarizes the question each method answers, provides step-by-step examples of how disproportionality is calculated, and offers brief discussions on how to interpret the method and some considerations. It is intended to help SEA staff members determine which of their LEAs have significant disproportionality, data that are required as part of the EMAPS IDEA Part B MOE Reduction and CEIS data collection.