A Representative Sampling Method for Peer Encouragement Designs in Network Experiments
This paper proposes a representative ego network sampling method that controls sample contamination while preserving population representativeness for peer encouragement experiments.
Authors
- Sha Yang (ORCID: https://orcid.org/0000-0003-4190-5722)
- Yanyan Li (ORCID: https://orcid.org/0000-0002-3572-1858)
- Qing Liu (ORCID: https://orcid.org/0000-0003-3014-9503)
Institutions
- University of Southern California (US)
- University of Wisconsin System (US)
- University of Wisconsin–Madison (US)
- Chinese University of Hong Kong (HK)
- University of Houston (US)
Publication Details
- Journal
- Marketing Science
- Published
- 2026-07-28
- DOI
- https://doi.org/10.1287/mksc.2022.0409
- Primary Topic
- Mobile Crowdsensing and Crowdsourcing
- Type
- article
- Field-Weighted Citation Impact
- 0.00