Web Survey Bibliography
Title Adjustment of Web Panel Survey Estimates by Regression Imputation
Author Varedian, M.
Year 2005
Access date 27.10.2005
Abstract When using a panel of volunteer respondents in a Web survey one can suspect people in the observed sample to have different characteristics and attitudes than the general public. Thus some adjustment method is needed to make inference about the public. We have developed an adjustment method based on the idea of regression imputation, a method often used to adjust for nonresponse. To make regression imputation possible, some auxiliary variable correlated to the study variable has to be observed in the Web sample and in a parallel survey with a probability sample. The Web sample is then used to estimate the relationship between the study variable and auxiliary variables. The predicted value on the study variable is imputed into the probability sample, which is used to estimate the population mean.
In an ideal situation where all the model assumptions hold, our adjustment method gives an unbiased estimator of the mean in the population. Its variance is derived along with an estimator of the variance. The suggested estimator might be sensitive to model violations and therefore simulations were carried out to study the behavior of the estimator under different model violations. The results were compared with an estimator based on post stratification. The estimator based on regression imputation turned out to be sensitive to non linear relationships and missing relevant auxiliary variables, while the estimator based on post stratification was more robust to such model violations.
In an ideal situation where all the model assumptions hold, our adjustment method gives an unbiased estimator of the mean in the population. Its variance is derived along with an estimator of the variance. The suggested estimator might be sensitive to model violations and therefore simulations were carried out to study the behavior of the estimator under different model violations. The results were compared with an estimator based on post stratification. The estimator based on regression imputation turned out to be sensitive to non linear relationships and missing relevant auxiliary variables, while the estimator based on post stratification was more robust to such model violations.
Year of publication2005
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - 2005 (76)
- The ethics of research using electronic mail discussion groups; 2005; Kralik, D., Warren, J., Koch, T., Pignone, G., Price, K.
- The Analyses of Domestic Study about Internet Survey; 2005; Rui, L., Tie-ying, S.
- Controlling the Baseline Speed of Respondents: An Empirical Evaluation of Data Treatment Methods of...; 2005; Mayerl, J.
- Determinanten der Rücklaufquote in Online-Panels; 2005; Batanic, B., Moser, K.
- On the cost-efficiency of probability sampling based mail surveys with a Web response option; 2005; Werner, P.
- Expert workshop on mixed mode data collection in comparative social surveys; 2005; Roberts, C.
- The Effect Of A Simultaneous Mixed-Mode (Mail And Web) Survey On Respondent Characteristics And Survey...; 2005; Brennan, M.
- The total survey error approach. A guide to the new science of survey research; 2005; Weisberg, H. F.
- The professional respondent problem in online panel surveys today; 2005; Fulgoni, G.
- Satisficing behavior in online panelists; 2005; Downes-Le Guin, T.
- Reading behavior in the digital environment: Changes in reading behavior over the past ten years; 2005; Liu, Z.
- Rating versus comparative trade-off measures. Trending changes in political issues across time and predictive...; 2005; Thomas, R. K., Behnke, S., Johnson, Al., Sanders, M.
- Publication bias: Recognizing the problem, understanding its origins and scope, and preventing harm; 2005; Dickersin, K.
- Panel proliferation and quality concerns; 2005; Faasse, J.
- Gricean effects in self-administered survey. Ph.D. Dissertation; 2005; Yan, T.
- Drop-down boxes, radio buttons, or fill-in-the-blank? Web survey scale-type effects; 2005
- Does weighting for nonresponse increase the variance of survey means?; 2005; Little, R. J., Vartivarian, S.
- Big scale observations gathered with the help of client side paradata; 2005; Haraldsen, G., Kleven, O., Sundvoll, A.
- User Interface Design and Evaluation ; 2005; Stone, D., Jarrett, C., Woodroffe, M., Minocha, S.
- Adding Value to Data Through Improved Access. The Case for Web Portals; 2005; Baker, R. P.
- Multi-Mode Research and Data Linkage. Theoretical and Practical Advice; 2005; Terhanian, G.
- Architectural Design of a Survey Questionnaire and Respondent Data Repository. Practical Considerations...; 2005; Cookson, P., Sobell, J.
- Developing and validating a nursing website evaluation questionnaire; 2005; Tsai, S. - L., Chai, S.-K.
- Workaround: Site’s surveys beat pop-up blockers, yield responses; 2005; Arnold, C.
- The Story of Subject Naught: A Cautionary but Optimistic Tale of Internet Survey Research; 2005; Konstan, J. A., Ross, M. W., Rosser, B. R. S., Stanton, J. M., Edwards, W. M.
- Standards in Online Surveys. Sources for Professional Codes of Conduct, Ethical Guidelines and Quality...; 2005; Kaczmirek, L., Schulze, N.
- Computer adaptive testing; 2005; Gershon, R. C.
- Ego control and ego-resiliency: Generalization of self-report scales based on personality descriptions...; 2005; Block, J., Funder, D. C., Letzring, T. D.
- The Web experiment list: A Web service for the recruitment of participants and archiving of Internet...; 2005; Reips, U. -D., Lengler, R.
- Survey of substance use among high school students in Taipei: Web-based questionnaire versus paper-and...; 2005; Wang, Y. C., Lee, C. M., Lew-Ting, C. Y., Hsiao, C. K., Chen, W. J.
- Web Surveys. A Brief Guide on Usability and Implementation Issues; 2005; Kaczmirek, L.
- An assessment of measurement invariance between online and mail surveys ; 2005; Deutskens, E., de Ruyter, K., Wetzels, M.
- E-mail versus Web survey response rates among health education professionals; 2005; Kittleson, M. J., Brown, S. L.
- Toward An Open-Source Methodology: What We Can Learn From The Blogosphere; 2005; M.
- Aux Abonnes Absents: Liste Rouge Et Telephone Portable Dans Les Enquetes En Population Generale Sur...; 2005; Beck, F., ., Peretti-Watel, P.
- Web Versus Paper Questionnares: A Design and Functionality - Comparison; 2005; Jones, Ja., Fraser, C., Dowling, Z.
- Web Surveys and the new Disability Discrimination Act; 2005; Macer, T.
- Mixed-mode Surveys Using Mail and Web Questionnaires; 2005; Meckel, M., Baugh, P., Walters, D.
- Sampling procedure, questionnaire design, online implementation; 2005; Jackob, N., Arens, J., Zerback, T., Jowell, R., de Rouvray, C.
- Simple Approaches to Estimating the Variance of the Propensity Score Weighted Estimator Applied on Volunteer...; 2005; Isaksson, A., Lee, S., de Rouvray, C.
- Simple Approaches to Estimating the Variance of the Propensity Score Weighted Estimator Applied on Volunteer...; 2005; Isaksson, A., Lee, S.
- Alternative Modes for Health Surveillance Surveys: An Experiment with Web, Mail, and Telephone; 2005; Link, M. W., Mokdad, A.
- An Experimental Comparison Of Web And Telephone Surveys; 2005; Fricker, S., Galesic, M., Tourangeau, R., Yan, T.
- Organizational Virtual Communities: Exploring Motivations Behind Online Panel Participation; 2005; Daugherty, T., Lee, W.-N., Gangadharbatla, H., Kim, K., Outhavong, S.
- Promoting Uniform Question Understanding in Today's and Tomorrow's Surveys; 2005; Conrad, F. G., Schober, M. F.
- Is a Web survey as effective as a mail survey? A field experiment among computer users; 2005; Kiernan, N. E., Kiernan, M., Oyler, M. A., Gilles, C.
- The effect of personalization on response rates and data quality in web surveys; 2005; Heerwegh, D., Vanhove, T., Matthijs, K., Loosveldt, G.
- When Methodology Interferes With Substance; 2005; Schoen, H., Faas, T.
- Web-based and Mailed Questionnaires: A Comparison of Response Rates and Compliance; 2005; Baelter, K., Balter, O., Fondell, E., Trolle-Lagerros, Y.
- Bleeding Edge or Proven Technology? The Fact and the Fiction of Mobile Survey Computing; 2005; Cameron, M. R.