Data Collection Decisions to Improve Data Quality for Quality Data Use

This presentation provided an overview of the challenges of data collection for IDEA Part B Indicator 14 and identified some successful efforts to overcome challenges such as representativeness and response rates. Additionally, presenters shared one state's effort to improve the quality of their student post-school outcome data to increase confidence in programmatic decisions that could be made from those data.

IDC Interactive Institutes on High-Quality Part B Data – May 10-11, 2016 and June 1-2, 2016