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Data Collection Decisions to Improve Data Quality for Quality Data Use

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

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.

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  • Resource Image:
    Data Collection Decisions to Improve Data Quality for Quality Data Use
  • Published:
    Sep 12, 2017
  • Authors:
    Mary Morningstar, Alissa Trollinger, Matthew Klare
  • Organizations:
    National Technical Assistance Center on Transition
    Arizona Department of Education
  • Format:
    Presentations
  • Number of Pages:
    48 pages.
  • Topics:
    Data Governance, Part B
  • Indicators:
    B14 Post Secondary Transition Outcomes
  • Tags:
    Data Quality, Data Collection, Student Outcomes

For more information about this resource, contact your IDC state liaison.