Combining Probability and Non-Probability Data: Considerations, Methods, and Applications

Mon, Aug 5, 2:00 PM - 3:50 PM

Morgan EarpOrganizerKatherine IrimataOrganizerBrady WestChair

Survey Research Methods Section

5 Presentations

A Look at Propensity-based Methods for Combining Probability and Non-probability Sample Data

2:05 PM - 2:25 PM

Matt Williams (RTI)

A New Evaluation of the Impact of Combining Probability and Non-probability Sample Data

2:25 PM - 2:45 PM

Jon Krosnick (Stanford University)

Co-authors: Sierra Davis (Stanford University)

Comparing Alternative Estimation Methods Using Combined Probability and Nonprobability Samples

2:45 PM - 3:05 PM

Michael Yang (NORC at The University of Chicago)

Co-authors: Soubhik Barari (NORC at the University of Chicago), David Dutwin (NORC at the University of Chicago), Chien-Min Huang (NORC at the University of Chicago), Stanislav Kolenikov (NORC at The University of Chicago)

Leveraging Non-Probability Data at the National Center for Health Statistics

3:05 PM - 3:25 PM

Katherine Irimata (National Center for Health Statistics)

Co-authors: Paul Scanlon (National Center for Health Statistics), Lauren Rossen (National Center for Health Statistics), Guangyu Zhang (National Center for Health Statistics)

Utilizing Data from an Incomplete Sample to Supplement the Probability-Based U.S. PIAAC Cycle II

3:25 PM - 3:45 PM

Wendy Van de Kerckhove (Westat)

Co-authors: Tom Krenzke (Westat), Benjamin Schneider (Westat), Mike Kwanisai (Westat)