4A – Data Quality

Data Quality
Presentation & Discussion: Survey Methodology
4A - Field


Time/Date
3:15pm-4:30pm on Monday, 5/21/2018

Facilitator
John Baker II, U.S. Census Bureau

Session Focus
High quality data is crucial to any project or organization. This session of presentations will explore impacts on data quality including incentive effects and literacy.  It will also examine innovations in quality control systems and data checks.

    Presentations
  • Incentive Effects on Nonresponse and Data Quality - Lindsey Witt-Swanson, University of Nebraska, Lincoln - Bureau of Sociological Research
  • Law Enforcement Management and Administrative Statistics Survey: A Story of Data Quality Follow-up - Dain Palmer, RTI International
  • An Experiment with Voice Recognition to Improve Call Center Quality - Lew Berman, ICF
  • Impact of Literacy Skills on Survey Data Quality: Findings from NASIS 2017 - Shanshan Deng, University of Nebraska, Lincoln - Bureau of Sociological Research