The decrease in coverage for traditional random digit dialing (RDD) samples is well documented (e.g., Blumberg et al. 2011). This decline in landline connections, particularly for young people, make coverage especially problematic (Keeter et al. 2007). Although mobile phones can be added to landline sample frames to increase coverage, this dual frame approach introduces new challenges, as they are more prone to nonsampling errors in comparison to RDD and in the United States incoming calls are often counted against the respondent’s minutes (Brick et al. 2011). Non-probability Web-based supplements have been suggested as a means to reducing problems with RDD coverage and picking up cellonly households without respondent-side costs. However, three questions need to be answered. First, do we find more cell-only households among non-probability Web samples? Second, how do these Web-based results differ from national level random sample results? Third, how demographically different are these samples from mode varying probability samples? In this paper, we present an analysis of a series of Google Consumer
Survey questions including home cell-phone usage and compare the results to those from three national-level random sample surveys, all of which were cited in the AAPOR’s Cell Phone Task Force.