Need practical strategies for evaluating how practitioners are doing with implementing evidence-based practices? Not sure what to do with all the data you’ve already collected? Not sure where to start? […]
Every season in the calendar year has a season of data needs for Part C and Part B 619 Data Managers and Coordinators. We asked DaSy experts for tools that are helpful for this season and for ways to prepare for what’s ahead.
This webinar will show attendees how to navigate Communities360 and the IES/NCES website to find valuable resources that are available to assist with planning, implementing, and maintaining SLDS.
In this workshop, participants engaged in practical exercises to look for expected and unexpected patterns in their own data with the goal of increasing competence with data quality and prioritizing areas for data quality improvement.
In this session, participants engaged in practical exercises to look for expected and unexpected patterns in their own data with the goal of increasing competence with data quality and prioritizing areas for data quality improvement.
This presentation included strategies generated from multiple states involved in technical assistance to improve Family Outcomes representativeness and equity.
This presentation included strategies generated from multiple states involved in technical assistance to improve Family Outcomes representativeness and equity.
This is the last in a series of stand-alone facilitated listening sessions provided by DaSy and ECTA focused on the transition from Part C to Part B, 619. Presenters shared resources and tools that may assist states as they improve their data processes and systems.
This DaSy tip sheet series provides concise guidance for collecting and analyzing high-quality data on the implementation of evidence-based practices.
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.
