Web Survey Bibliography
Data collected through Web surveys, in general, do not adopt traditional probability-based sample designs. Therefore, the inferential techniques used for probability samples may not be guaranteed to be correct for Web surveys without adjustment, and estimates from these surveys are likely to be biased. However, research on the statistical aspect of Web surveys is lacking relative to other aspects of Web surveys. Propensity score adjustment (PSA) has been suggested as an alternative for statistically surmounting inherent problems, namely nonrandomized sample selection, in volunteer Web surveys. However, there has been a minimal amount of evidence for its applicability and performance, and the implications are not conclusive. Moreover, PSA does not take into account problems occurring from uncertain coverage of sampling frames in volunteer panel Web surveys. This study attempted to develop alternative statistical estimation methods for volunteer Web surveys and evaluate their effectiveness in adjusting biases arising
from nonrandomized selection and unequal coverage in volunteer Web surveys. Specifically, the proposed adjustment used a two-step approach. First, PSA was utilized as a method to correct for nonrandomized sample selection, and secondly calibration adjustment was used for uncertain coverage of the sampling frames. The investigation found that the proposed estimation methods showed a potential for reducing the selection and coverage bias in estimates from volunteer panel Web surveys. The combined two-step adjustment not only reduced bias but also mean square errors to a greater degree than each individual adjustment. While the findings from this study may shed some light on Web survey data utilization, there are additional areas to be considered and explored. First, the proposed adjustment decreased bias but did not completely remove it. The adjusted estimates showed a larger variability than the unadjusted ones. The adjusted estimator was no longer in the linear form, but an appropriate variance estimator has not been developed yet. Finally, naively applying the variance estimator for linear statistics highly overestimated the variance, resulting in understating the efficiency of the survey estimates.
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Web survey bibliography - Reports, seminars (231)
- Web-based survey techniques. A synthesis of Transit practice; 2006
- Understanding people. Sample matching; 2006; Rivers, D.
- Sample matching. Representative sampling from Internet panels; 2006; Rivers, D.
- Research quality: The next MR industry challenge; 2006; Dedeker, K.
- Greenfield unveils real-time sampling; 2006
- Global market research 2006; 2006
- F-Shaped pattern for reading web content; 2006; Nielsen, J.
- Expert workshop on mixed mode data collection in comparative social surveys; 2005; Roberts, C.
- A Typology of Research Methods Within the Social Sciences; 2004; Beissel-Durrant, G.
- EFAMRO - Quality standards for access panel - QSAP; 2004
- Can Internet Surveys be Used for Social Surveys? : Results of an Experimental Study; 2004; Honda, N., Motokawa, A.
- Response and Field Period Effects: The Effect of Time in Online Market Research and Consequences for...; 2004; Basso Larsen, R., Rathod, S.
- Statistical Estimation Methods in Volunteer Panel Web Surveys; 2004; Lee, Su.
- Valuation of Natural Resource Improvements in the Adirondacks; 2004; Banzhaf, S., Burtraw, D., Evans, D., Krupnick A.
- Report of the results of the Asthma awareness survey; 2003
- Maximum difference scaling: Improved measures of importance and preference for segmentation; 2003; Cohen, S. H.
- Web Survey Mailer System; 2003; Barrios, E.
- Comparing On-Line and On-Paper Responses to an Employee Satisfaction Survey; 2003; Stone, G. E.
- Willingness to Pay for Organic Foods: A Comparison between Survey Data and Panel Data from Denmark ; 2002; Millock, K.; Hansen, L.G.; Wier, M.; Andersen, L.M
- Standards questionnaire format; 2002
- Bracketing effects in categorized survey questions and the measurement of economic quantities; 2002; Winter, J.
- Results from cognitive interviews of nsf earned doctorate Web survey; 2002; Altheimer, I., Dillman, D. A.
- Recommended Standard Final Outcome Categories and Standard Definitions of Response Rate for Social Surveys...; 2001; Lynn, P., Beerten, R., Laiho, J., Martin, J.
- Experiments on column width spacing in the University of Michigan Student Life Survey; 2001; Boyd, C. J., McCabe, S. E., Couper, M. P., Crawford, S. D.
- Ethische Dimensionen der Online-Forschung; 2001; Dzeyk, W.
- Documentation for 2001 Winter Internet Survey; 2001; Alvarez, M. R., Sherman, R.
- Documentation for 2000 Presidential Election Internet Survey; 2000; Alvarez, M. R., Sherman, R.
- Development of a system for on-line evaluation of teaching; 1999; Marsh, J., Jones, Ja., Boehnker, D. N., Mavis, K.
- Getting a foot in the electronic door Understanding why people read or delete electronic mail; 1997; Tuten, T. L.
- The VSB-Center savings project: Data collection methods, questionnaires and sampling procedures; 1996; Nyhus, E. K.
- Report on feeling thermometer for "moderates"; 1992; Brady, H. E.
- Evaluation of the Feeling Thermometer. A Report to the National Election Study Board based on data from...; 1979; Weisberg, H. F., Miller, A. H.