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Center for IDEA Early Childhood Data Systems (DaSy), 2018
This guidance document is designed to support state and local technical assistance (TA) providers in implementing effective professional development (PD) on the Child Outcomes Summary (COS) process with early intervention and early childhood special education practitioners. This document provides an overview of national resources and materials…
Descriptors: Guidance, Early Childhood Education, Special Education, Technical Assistance
Center for IDEA Early Childhood Data Systems (DaSy), 2018
Early intervention (EI) and early childhood special education (ECSE) practitioners participating in the Child Outcomes Summary (COS) process must understand age-expected development, the ages at which children typically acquire different skills. This resource provides answers to commonly asked questions about age anchoring as it applies to the COS…
Descriptors: Outcomes of Education, Early Intervention, Early Childhood Education, Guidance
Center for IDEA Early Childhood Data Systems (DaSy), 2018
Our state's child outcomes numbers are lower than last year's. Does this mean our state'sprogram quality has decreased? Possibly but not necessarily. Interpreting year-to-yearchange in statewide child outcomes data requires understanding the possible reasons for fluctuations. This brief is designed to help stakeholders learn what questions to ask…
Descriptors: Outcomes of Education, Special Education, Early Intervention, Program Improvement
Nelson, R.; Kelley, G.; Hebbeler, K.; Vinh, M.; Gillaspy, K.; Barton, L.; Reid, J. K. – Center for IDEA Early Childhood Data Systems (DaSy), 2017
The Local Child Outcomes Measurement System (L-COMS) is a framework that identifies seven key components of a high-quality child outcomes measurement system at the local level. The L-COMS framework was designed to apply to all local programs regardless of their specific child outcomes measurement approach. Development of the L-COMS originated with…
Descriptors: Early Childhood Education, Outcomes of Education, Measurement Techniques, Data Collection
Center for IDEA Early Childhood Data Systems (DaSy), 2017
The State Family Outcomes Measurement System Framework (S-FOMS) is a framework originally developed by the Early Childhood Outcomes (ECO) Center that identifies seven key components of a high-quality family outcomes measurement system at the state level. This document contains background information about the framework's seven components, 15…
Descriptors: Measurement Techniques, Family Programs, Satisfaction, Family Involvement
Center for IDEA Early Childhood Data Systems (DaSy), 2017
The State Family Outcomes Measurement System Framework (S-FOMS) is a framework originally developed by the Early Childhood Outcomes Center that identifies seven key components of a high-quality family outcomes measurement system at the state level. The seven components are: (1) Purpose; (2) Data collection and transmission; (3) Analysis; (4)…
Descriptors: Data Collection, Data Analysis, Measurement Techniques, Early Childhood Education
Mauzy, Denise; Bull, Bruce; Gould, Tate – Center for IDEA Early Childhood Data Systems (DaSy), 2016
Since the initial authorizing legislation for Part C of the Individuals with Disabilities Education Act (IDEA) in 1986, the scope and complexity of data collected by Part C programs have significantly increased. Formal governance establishes responsibility for Part C data and enables program staff to improve the effectiveness of data processes and…
Descriptors: Disabilities, Educational Legislation, Federal Legislation, Equal Education
Center for IDEA Early Childhood Data Systems (DaSy), 2016
The Self-Assessment Comparison (SAC) Tool is for state Part C and Section 619/Preschool programs to use to assess changes in the implementation of one or more components of the ECTA System Framework and/or subcomponenets of the DaSy Data System Framework. It is a companion to the ECTA/DaSy Framework Self-Assessment. Key features of the SAC are…
Descriptors: Disabilities, Educational Legislation, Equal Education, Federal Legislation
Greer, Maureen; Kilpatrick, Jamie; McCullough, Katy; Reid, Kellen – Center for IDEA Early Childhood Data Systems (DaSy), 2016
This 2016 document is designed to provide state Part C staff with guidance on using fiscal data to analyze and revise their allocation methodology. Allocation methodology is the process -- including practices, strategies, procedures, and policies -- used by Part C state staff to equitably distribute funds to meet the needs of the system, including…
Descriptors: Educational Legislation, Equal Education, Disabilities, Federal Legislation
Winer, Abby; Taylor, Cornelia; Derrington, Taletha; Lucas, Anne – Center for IDEA Early Childhood Data Systems (DaSy), 2015
This 2015 document was developed to help technical assistance (TA) providers and state staff define and limit the scope of data analysis for program improvement efforts, including the State Systemic Improvement Plan (SSIP); develop a plan for data analysis; document alternative hypotheses and additional analyses as they are generated; and…
Descriptors: Program Improvement, Data Analysis, Documentation, Planning
Center for IDEA Early Childhood Data Systems (DaSy), 2015
This 2015 quick reference guide is designed to assist states in understanding what information needs to be available in order for stakeholders to assist in selecting potential improvement strategies that will increase capacity of Local Education Agencies (LEAs), Early Intervention Services (EIS) programs, and practitioners to improve results for…
Descriptors: Stakeholders, Educational Improvement, Early Intervention, Infants
Gould, Tate; Nicholas, Amy; Ruggiero, Tony; Blandford, William; Thayer, Sara; Bull, Bruce – Center for IDEA Early Childhood Data Systems (DaSy), 2015
There are several types of data systems that support data from Part C/619 programs. Although the system types have similarities, each has its own unique characteristics and purposes. The attributes that make one type of data system a particularly good fit for one data-related need or function can be less desirable for another need or function. In…
Descriptors: Data Collection, Information Storage, Accountability, Federal Legislation
Derrington, Taletha; Peters, Mary Louise; Mauzy, Denise; Ruggiero, Robert – Center for IDEA Early Childhood Data Systems (DaSy), 2015
This 2015 state spotlight document describes how Alaska Part C improved the referral of children from Child Welfare to the Individuals with Disabilities Education Act (IDEA) Part C Program by an automated transfer of data from Child Welfare to Part C for substantiated cases of child maltreatment (i.e., child abuse and/or neglect).
Descriptors: Child Welfare, Federal Legislation, Educational Legislation, Disabilities
Winer, Abby; Hebbeler, Kathy; Nelson, Robin; Gundler, Darla; Cate, Debbie; Hudson, Laura; Taylor, Cornelia; Peters, Mary Louise – Center for IDEA Early Childhood Data Systems (DaSy), 2015
What is a high-quality statewide data system? One characteristic is that it provides the information needed to address important questions about early intervention and early childhood special education. But what are those questions? What questions should data users, such as program directors, advocates, and policymakers, be asking? The Center for…
Descriptors: Early Intervention, Early Childhood Education, Special Education, Accountability
Greer, Maureen; Kilpatrick, Jamie; McCullough, Katy; Reid, Kellen – Center for IDEA Early Childhood Data Systems (DaSy), 2015
"Use of Data for Fiscal Management of State Part C Systems" is designed to increase the knowledge and skills of lead agency staff regarding the use of data for appropriate fiscal management of Part C. This document addresses budget development and management. This document has three sections: (1) Budget Development and Management; (2)…
Descriptors: Disabilities, Educational Legislation, Equal Education, Federal Legislation
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