Part C Data Managers are shifting timelines and processes in response to new deadlines around modernization. Top Part C Data tasks to tackle this quarter are focused around OSEP’s modernization of the data submission system.
Tag Archives: Data Quality
EC Data University – Qualitative and Quantitative Data
Overview Data Leadership Competencies Data Foundations Data Analysis Data Use & Sharing Introduction Data Quality Basics: Understanding Data Quality Data Quality Basics: Validity and Reliability Common Part C and Part […]
EC Data University – Common Part C and Part B 619 Data Elements
Overview Data Leadership Competencies Data Foundations Data Analysis Data Use & Sharing Introduction Data Quality Basics: Understanding Data Quality Data Quality Basics: Validity and Reliability Common Part C and Part […]
EC Data University – Data Quality Basics: Validity and Reliability
Overview Data Leadership Competencies Data Foundations Data Analysis Data Use & Sharing Introduction Data Quality Basics: Understanding Data Quality Data Quality Basics: Validity and Reliability Common Part C and Part […]
EC Data University – Data Quality Basics: Understanding Data Quality
Overview Data Leadership Competencies Data Foundations Data Analysis Data Use & Sharing Introduction Data Quality Basics: Understanding Data Quality Data Quality Basics: Validity and Reliability Common Part C and Part […]
Evaluating Implementation of Evidence-based Practices Webinar
March 2023. 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?
SLDS Webinar: It’s Online! Navigating the Treasure Troves of Helpful SLDS Tools and Resources
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.
Data Detective: Looking for Patterns in Child Outcomes Data to Assess Data Quality (Workshop)
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.
Data Detective: Looking for Patterns in Child Outcomes Data to Assess Data Quality (Concurrent Session)
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.
Engaging Stakeholders to Increase Feedback from Underrepresented Families
This presentation included strategies generated from multiple states involved in technical assistance to improve Family Outcomes representativeness and equity.