Conference: IDIO 2022 Date: August 24, 2022 Presenters: Julie Austen, Sharon Walsh, Thomas McGhee, Stacy Callender, Christina Commons, Janet Timbs Presenters described in depth the requirements related to identifying and […]
Compute response rates for your state’s family survey data and determine if the surveys you received are representative of the target population.
For a Part C system, the fiscal data profile depicts demographic, service delivery, infrastructure, and administrative data in a variety of ways to make the fiscal data more comprehensible to users.
Conference: DEC & ISEI Joint Conference 2022 Date: September 28, 2022 Presenter: Betsy Davies-Mercier, Grace Kelley, Thomas McGhee This presentation addresses why effective use of data involves bringing people together […]
Compare your state’s C4 family outcomes data to the national data in the three sub-indicator areas. Make comparisons to subgroups of states that use the same survey and scoring approach
Some states used additional tools/approaches to measure other family variables. States use survey methods to collect family outcomes data, but the questions and processes vary.
Developed to help states determine if all required fields in the SPP/APR platform have been completed and all relevant, required content is addressed for each indicator.
ECTA and DaSy Center staff discuss the national performance data for indicators C3 and B7, including national data, state variations in performance, and TA resources
Many folks have been engaged in equity work at a personal and professional level. But what does it mean to have an equitable system? This session focused on how to intentionally include equity in your system through the indicators of quality in the revised ECTA/ DaSy System Framework. We shared how to use data at the leadership level to inform policy development, and provide opportunity to dig deep to identify needs, priorities, and opportunities for action at both the state and local level within your own system.
Methods for state Part C allocations are typically driven by factors such as the number of children served in the previous year and historic expenditure patterns. But how well are these allocations meeting the needs of children and families in the state Part C program? Might other factors better support different levels of need? Using multiple sources of programmatic and fiscal data, states may better understand how to equitably allocate resources statewide to serve all families. Because states vary considerably in how they are structured, in this session we discussed different considerations and methods for determining allocations to facilitate equitable use of early intervention resources statewide.