Tag Archives: Child Find

Taking a Critical Look at Your Child Find Efforts

Authors: Margaret Gillis, Kathryn Morrison, & Haidee Bernstein, DaSy In reviewing the data on the percentage of children birth to 3 years old that my state’s Part C program serves, I noticed that we serve a much lower percentage of children as compared with the national average. I want to understand why my state’s percentage […]

Child Find Self-Assessment

Logo: U.S. Office of Special Education Programs

The Child Find Self-Assessment (CFSA) is a valuable tool for State IDEA Part C programs seeking to improve their child find efforts. Developed by the Office of Special Education Programs (OSEP) with support from the Center for IDEA Early Childhood Data Systems (DaSy) and the Early Childhood Technical Assistance Center (ECTA), the CFSA can help […]

Part C & 619 Data Displays

Department of Education

The U.S. Department of Education houses user-friendly displays of each SPP/APR on the GRADS360 website. These data displays include historical data, targets, and annual data for several fiscal years for all required Part C and 619 indicators. Part C indicators 5 (child find birth to one) and 6 (child find birth to three) also include […]

Part C Child Find Funnel Chart Tool

Sample funnel diagram

The Child Find Funnel Chart tool is an Excel template for displaying data about infants and toddlers at each step of the Part C process, from referral through exit, for a set of infants and toddlers referred within a specified time span. On the Enter Data worksheet, you enter data for the entire state, an […]

Part C Measurement Table

Department of Education

The Part C Measurement Table outlines the Part C SPP/APR reporting requirements for all indicators, including Indicator C5 (Child Find, Ages Birth to 1) and Indicator C6 (Child Find, Ages Birth to 3). It outlines the monitoring priorities and indicators, data source and measurement, and instructions for indicators/measurement for each Part C indicator. The table […]

Identifying Meaningful Differences in Child Find

Logos: ECTA and DaSy

This Excel-based calculator allows states to make several comparisons related to the percentage of infants and toddlers served: State percentage compared to state target, local program percentage compared to state target, and year-to-year comparisons of the state percentages. It also computes confidence intervals to determines whether the difference between the two numbers is large enough […]

Annual Data Early Hearing Detection and Intervention (EHDI) Program

This annual report includes national summaries by year, and summaries by jurisdictions for key data items, including, screening, diagnosis, and enrollment in early intervention.  There are three “Early Intervention Data” summaries that provide data on children in early intervention identified with hearing loss, including children enrolled in early intervention prior to six months of age and reasons […]

The National Child Abuse and Neglect Data System (NCANDS)

This is a voluntary data collection system that gathers information from all 50 states, the District of Columbia, and Puerto Rico about reports of child abuse and neglect. The data are used to examine trends in child abuse and neglect across the country. This data collection provides state level data on the number of children who were eligible […]

Identifying Specific Disabilities and Children At-Risk

ECTA Center logo

This collection is organized by disability and other special populations (e.g., abuse and neglect) and provides information about a range of topics including incidence levels, identification, assessment, outcomes, and other relevant information. States can use this collection of resources to obtain more information on practices related to identifying specific disabilities and children at-risk. The information […]

Identify Meaningful Differences in Child Find

Logos: ECTA and DaSy

This Excel-based calculator allows states to make several comparisons related to the percentage of infants and toddlers served: State percentage compared to state target, local program percentage compared to state target, and year-to-year comparisons of the state percentages. It also computes confidence intervals to determines whether the difference between the two numbers is large enough […]