August 26, 2026
High-quality child outcomes data are essential for informed decision-making, meaningful program improvement, and accurate federal reporting. Yet many states and programs face challenges with data quality, consistency, and use. In this engaging webinar series, participants explored practical strategies for improving child outcomes data quality before, during, and after data collection, including opportunities to discuss strategies with colleagues.
Webinar Presentation | Resource List
This webinar series was organized by data quality strategies used:
- Before data collection through supportive infrastructure, policies and procedures, and prepared personnel
- During data collection by understanding the purpose of data collection and implementing the established approach to fidelity
- After data collection through data analysis, data use, and continuous improvement
As a result of attending this series, participants:
- Learned about and understand the importance of data quality
- Learned about strategies that improve data quality before, during, and after data collection
- Should be better able to identify issues with child outcomes data quality
Whether your state is building new processes or refining existing practices, this webinar series provided considerations and actionable strategies to support more consistent, timely, complete, accurate, and usable child outcomes data.
Who attended: IDEA Part C and Part B data managers, Part B Section 619 Data Managers, Part C Early Intervention Coordinators, Part B Section 619 Early Childhood Special Education Coordinators, and others involved in collecting, reporting, analyzing, or using child outcomes data.
Questions? email Tony Ruggiero at tony.ruggiero@aemcorp.com.