Web Survey Bibliography
While nonresponse rates in household surveys are increasing in most industrialized nations, the increasing rates do not always produce nonresponse bias in survey estimates. The linkage between nonresponse rates and nonresponse bias arises from the presence of a covariance between response propensity and the survey variables of interest. To understand the covariance term, researchers must think about the common influences on response propensity and the survey variable. Three variables appear to be especially relevant in this regard: interest in the survey topic, reactions to the survey sponsor, and the use of incentives. A set of randomized experiments tests whether those likely to be interested in the stated survey topic participate at higher rates and whether nonresponse bias on estimates involving variables central to the survey topic is affected by this. The experiments also test whether incentives disproportionately increase the participation of those less interested in the topic. The experiments show mixed results in support of these key hypotheses.
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Web Survey Bibliography - 2006 (246)
- Adult gadget ownership over time (2006-2012); 2012
- Web-based survey techniques. A synthesis of Transit practice; 2006
- Web 2.0 & panels. The shift from lectures to conversations; 2006; Cook, M., Buckley, N.
- Unproctored internet testing in employment settings; 2006; Tippins, N. T. et al.
- Understanding people. Sample matching; 2006; Rivers, D.
- The power of the visible: Visual design for Web surveys; 2006; Couper, M. P.
- The power of survey design: A user's guide for managing surveys, interpreting results, and influencing...; 2006; Iarossi, G.
- The internet response method: Impact on the Canadian Census of population data; 2006; Roy, L., Laroche, D.
- The effect of conditioning when re-interviewing; 2006; Cartwright, T., Nancarrow, C.
- The anonymous elect. Market research through online access panels; 2006; Postoaca, A.
- Testing on the Internet: Issues, challenges and opportunities in the field of occupational assessment...; 2006; Bartram, D.
- Statistics for real-life sample surveys: non-simple-random samples and weighted data; 2006; Dorofeev, S., Grant, P.
- SMS and WAP: The shortcut to fast and better research response?; 2006; Pearson, C. et al.
- Sample matching. Representative sampling from Internet panels; 2006; Rivers, D.
- Research-based web design & usability guidelines; 2006
- Research quality: The next MR industry challenge; 2006; Dedeker, K.
- Rating scale format choices for multi-item measures: Does numbering and balanced-ness matter?; 2006; Meric, H., Wagner, J.
- Order effects in batteries of questions; 2006; Siminski, P.
- Optimizing quality in the use of web-based and computer based testing for personnel selection; 2006; Hornke, L. F., Kersting, M.
- Online marketing research; 2006; Miller, J.
- Need for high quality auxiliary data service for improving the quality of editing and imputation...; 2006; Laaksonen, S.
- Microsoft sues testing material vendors; 2006; Johnston, S. J.
- Introduction to the Special Issue on the ITC - Guidelines on Computer-Based and Internet-Delivered Testing...; 2006; Coyne, I., Bartram, D.
- International Guidelines on Computer-Based and Internet-Delivered Testing; 2006
- How successful I am depends on what number I get: The effects of numerical scale labels and need for...; 2006; Yan, T.
- Greenfield unveils real-time sampling; 2006
- Global market research 2006; 2006
- F-Shaped pattern for reading web content; 2006; Nielsen, J.
- Blocked versus randomized format of questionnaires. A confirmatory multigroup analysis; 2006; Sparfeldt, J. R., Schilling, S. R., Rost, D. H., Rost, D. H., Thiel, A.
- Benefits and challenges of multi-sourcing. Understanding differences between sample sources; 2006; de Gaudemar, O.
- Behavioral self-report measures. International extensions; 2006; Thomas, R. K., Klein, J. D.
- Attitudinal differences. Comparing people who belong to multiple versus single panels; 2006; Casdas, D., Fine, B., Menictas, C.
- Assessing individual respondents' quality. An innovative scoring system; 2006; Loeb, C.,Hartmann, A.
- Advanced techniques and technologies in online research; 2006; Allred, C. R.; Smith, J.; Smith, S. M.
- A framework for survey breakoffs; 2006; Peytchev, A.
- Assessing Panel Bias in the Knowledge Networks Panel: Updated Results from 2005 Research ; 2006; Pineau, V., Nukulkij, P., Tang, X.
- The Handbook of Marketing Research. Uses, Misuses, and Future Advances.; 2006; Grover, R., Vriens, M.
- Time in Sample: Searching for Conditioning in a Consumer Panel ; 2006; Arens, Z., Miller-Steiger, D.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2006; 2006
- A Critical Assessment of Online Survey Tools; 2006; Marra, R. M., Bogue, B.
- A dynamic technique for conducting online survey-based research; 2006; Bonometti, R. J., Tang, J.
- The 2006 Confirmit Annual MR Software Survey; 2006; Macer, T.; Wilson, Sheila
- Online community survey: an effectiveness measure for revealing citizen preferences in their role as...; 2006; Martin Juanil, D., Ismail, M.
- Blaise – Alive and kicking for 20 years; 2006; Bethlehem, J., Hofman, L.
- Physical or Virtual Presence of the Experimenter: Psychological Online-Experiments in Different Settings...; 2006; Ollesch, H., Heineken, E., Schulte, F. P.
- Internet Science and Open Access: First Day of a Honeymoon ; 2006; Reips, U. -D., Matzat, U.
- Mplus; 2006; Muthen, L. K., Muthen, B. O.
- The Mode Effect: A Literature Review of Human and Technological Issues in Computerized Testing; 2006; Leeson, H. V.
- Feasibility, reliability, and validity of adolescent health status measurement by the Child Health Questionnaire...; 2006; Raat, H., Mangunkusumo, R. T., Landgraf, J. M., Kloek, G., Brug, J.
- What Difference Do Guidelines Make? An Observational Study of Online-questionnaire Design Guidelines...; 2006; Lumsden, J., Flinn, S., Anderson, M., Morgan, W.
