The Feasibility of Obtaining Valid Inferences from Nonprobability Surveys

Wednesday, 18 July 2018: 10:30
Oral Presentation
Joseph SAKSHAUG, German Institute for Employment Research, Germany, University of Manchester, United Kingdom
Arkadiusz WISNIOWSKI, University of Manchester, United Kingdom
Diego Andres Perez RUIZ, University of Manchester, United Kingdom
Annelies G. BLOM, Collaborative Research Center 884 “Political Economy of Reforms”, University of Mannheim, Germany
Survey data collection costs have risen to a point where many survey researchers are abandoning large, expensive probability-based samples in favor of less expensive nonprobability samples. The empirical literature suggests this strategy may be unwise for many reasons, among them probability samples tend to outperform nonprobability samples on accuracy when assessed against population benchmarks. Nevertheless, the attractive cost properties and convenience of nonprobability samples suggest they are here to stay. In this talk, we present recent empirical research on the strengths and weaknesses of nonprobability samples for survey inference. We present results from various sources of probability and nonprobability data and attempt to establish some middle ground between these two sampling streams.