Web Survey Bibliography
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.
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Web survey bibliography - Stern, M. J. (13)
- An Examination of How Survey Mode Affect Eligibility, Response and Health Condition Reporting Rates...; 2016; Stern, M. J.; Ghandour, R.
- Mode and Eligibility Rates in a Dual-mode Web and Mail Survey ; 2016; Ventura, I.; Bilgen, I.; Stern, M. J.
- Can Using a Mixed Mode Approach Improve the Representativeness and Data Quality in Panel Surveys?; 2016; Stern, M. J.
- Spatial Modeling through GIS to Reveal Error Potent ial in Survey Data: Where, What and How Much ; 2016; English, N.; Ventura, I.; Bilgen, I.; Stern, M. J.
- Where Does the Platform Matter: The Impact of Geographic Clustering in Device Ownership and Internet...; 2015; Bilgen, I.; English, N.; Stern, M. J.; Ventura, I.
- Comparing Field and Laboratory Usability Tests to Assess the Consistency and Mistakes in Web Survey...; 2015; Croen, A.; Gonzales, N.; Ghandour, R.; Stern, M. J.
- Question Grouping and Matrices in Web Surveys: Using Response and Auxiliary Data to Examine Question...; 2014; Bilgen, I., Stern, M. J.
- Can Google Consumer Surveys Help Pre-Test Alternative Versions of a Survey Question?: A Comparison of...; 2013; Stern, M. J., Welch, W. W.
- How Do Different Sampling Techniques Perform in a Web-Only Survey? Results From a Comparison of a Random...; 2013; Bilgen, I., Stern, M. J., Wolter, K.
- Are Response Rates to a Web-Only Survey Spatially Clustered?; 2013; Fiorio, L., Stern, M. J., English, N., Bilgen, I., Curtis, B.
- How Representative are Google Consumer Surveys?: Results From an Analysis of a Google Consumer Survey...; 2013; Krishnamurty, P., Tanenbaum, E., Stern, M. J.
- The effects of item saliency and question design on measurement error in a self-administered survey; 2012; Stern, M. J., D., Mendez, J. D.Smyth, J. D.
- Comparing Check-All and Forced-Choice Question Formats in Web Surveys: The Role of Satisficing, Depth...; 2005; Smyth, J. D., Dillman, D. A., Christian, L. M., Stern, M. J.