Web Survey Bibliography
Title Probability Based Internet Surveys: A Synopsis of Early Methods and Survey Research Results
Author Huggins, V. J.
Access date 11.03.2004
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Abstract Successfully targeting a nationally representative panel sample over the Internet has been intractable, primarily because a large proportion of U.S. households do not have Internet access. This paper presents a new methodology created and implemented at Knowledge Networks that overcomes this inherent shortcoming. The new methodology begins with selection of a stratified, random sample of households using RDD telephone methods. By phone, the sampled households are asked to participate in the Knowledge Networks research panel sample. Once recruited, the households are then equipped with simple Internet access devices attached to their televisions that are used to field multi-media based surveys. To improve the efficiency of sampling, panel members are sent profile surveys that collect information on their demographic, economic, political and social characteristics. Once panel members complete the core profile survey, they are available for assignment to specific surveys according to specified sampling criteria. This paper will briefly discuss the sample design and methods of this new survey mode and will then focus largely on the survey research results to date that identify and measure sampling and nonsampling error. Application of this methodology is about two years old and we now have considerable information on response rates, coverage and nonresponse bias, and overall measures of data quality to share.
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Bibliographic typeConference proceedings
Year of publication2001
Web Survey Bibliography - FCSM 2001 Research Conference (3)
- Building Usability into Electronic Data-Collection Forms for Economic Censuses and Surveys; 2001; Harley, M. D., Pressley, K. D., Anderson, A. E., Nichols, E. M., Murphy, E. D.
- Social presence in Web surveys; 2001; Tourangeau, R., Couper, M. P., Steiger, D. M.
- Probability Based Internet Surveys: A Synopsis of Early Methods and Survey Research Results; 2001; Huggins, V. J.