Part C and Part B 619 staff can use the strategies in this presentation to develop their data leadership skills and gain confidence in asking important data equity questions.
Pursuing Equity Through a Culture of Data Use
Category Archives: DaSy Center
Name It to Tame It: Using Data to Promote Equity
Conference: CDE Fall Preschool Virtual Meeting Date: November 4, 2021 Presenters: Grace Kelley and Cindy Weigel By the end of this session, participants will begin to: (1) Understand and embrace […]
Part C Indicator 4: Family Outcomes Data FFY 2019
DaSy and ECTA staff discuss FFY 2019 results from the Indicator C4 Family Outcomes data, including state approaches to surveys, data quality, performance trends, and resources.
FFY 2019 National Child Outcomes Data Analysis
The ECTA and DaSy Center staff completed their national child outcomes data analysis. Watch this webinar recording to learn more about national performance data for indicators C3 and B7, including national data, state variations in performance, and TA resources.
Telepractice for Part C Early Intervention Services: Considerations for Effective Implementation and Medicaid Reimbursement
Support states in securing Medicaid coverage for telepractice as a method of service delivery beyond the public health emergency of the COVID-19 pandemic…
Tip Sheet Series: Evaluating the Implementation of Evidence-based Practices
This DaSy tip sheet series provides concise guidance for collecting and analyzing high-quality data on the implementation of evidence-based practices.
Improving Data Quality Using the Child Outcomes Summary Knowledge Check (COS-KC) with Practitioners
August 2022. The COS-KC assessment checks if practitioners have background knowledge needed to participate in a high-quality Child Outcomes Summary process. These presentation slides are from an IDIO Conference session introducing the COS-KC and helping state staff consider how the COS-KC might enhance their outcomes data collection and professional development activities.
Considerations of the Impact of COVID-19 on APR Indicator Data
The COVID-19 pandemic caused unintended changes to state Part C program policies, procedures, and practices that may have impacted program performance. State data collection and reporting activities were also disrupted, presenting challenges to data completeness and other aspects of data quality.
Analysis Steps Used to Generate National Estimates for Progress Categories, Summary Statements, and Results FFY2019
Learn about the three methods used to compute national estimates for progress categories, summary statements, and results FFY2019.
Planning, Conducting, and Documenting Data Analysis for Program Improvement
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 […]