Overview Data Leadership Competencies Data Foundations Data Analysis Data Use & Sharing Introduction Data Literacy: Evaluating the Implementation of Evidence-Based Practices Looker Studio Video Tutorial Series Resources Looker Studio Video […]
Do you need help identifying possible gaps in documentation required for OSEP’s differentiated monitoring and support process? This crosswalk is designed to provide an overview of the major themes covered in the Differentiated Monitoring and Support (DMS) Part B/C Data Protocol and where those themes could be addressed when a state chooses to use the DaSy Part C Data Processes Toolkit.
Are you looking for better ways to share your publicly-reported data with stakeholders? Do you wish you had access to an easy-to-use tool to help you create engaging data displays?
This presentation provides an introduction to qualitative data collection and analysis, including methods for incorporating equity considerations. It provided information about designing effective qualitative data collection instruments and about using thematic analysis techniques to analyze qualitative data.
Families are key stakeholders in state and local data conversations. They provide a unique perspective that is critical for program improvement. This session introduced the Family Data Leader Pilot project. This project is a collaboration between the Center for Parent Information and Resources and Center for IDEA Early Childhood Data Systems. Participants increased their knowledge about what types of data there are, why data is collected and how data drives improvement with a focus on equity. Participants also gained strategies to successfully participate in data discussions.
In this presentation, presenters share tips for high quality practice evaluation and analysis and present an example from Hawaii’s experience.
This presentation provided tips and tools to facilitate creation of states’ State Performance Plans/Annual Performance Reports (SPP/APR). It included background information on SPP/APR and gave an overview of the newly-developed SPP/APR Modules.
In this interactive session, participants learned about best practices, tips, and tricks to sharpen their data visualizations, with an emphasis on key equity considerations. The session included examples of effective data visualizations and a live demonstration in Microsoft Excel using early intervention/early childhood special education data.
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 session addressed strategies for improving survey methodology for collecting family outcome survey data that yield quality data for making informed program decisions for ALL families across dimensions of diversity.