Web Survey Bibliography
The growth of online survey research over about the last 15 years has been truly remarkable. While estimates vary, most agree that online now accounts for somewhere between one third and one half of the total volume of survey data collection being done by US market research firms (See, for example, ESOMAR, 2009). Key to this growth has been the positioning of online as a faster and less expensive method capable of delivering the same or better survey results as traditional methods (telephone, mail, and in-person). Indeed, online often is the least expensive and fastest survey method for studying
a wide range of business problems, although this speed advantage is clearest when samples sizes are large and/or expected incidence is low. It is less certain that the survey results achieved are comparable to other methods, especially in those cases where one of the objectives is to accurately measure some characteristic, attitude, or behavior in a target population, whether it be a customer base, individuals with certain characteristics, or the general population.
This issue of accuracy is the main focus in this paper. In it we offer a framework for evaluating an online design versus a telephone design when a central goal of the research is to produce an accurate estimate of some personal characteristic,
attitude or behavior in a target population. In this context, accuracy means a survey result that is as close as possible to the “true value” in that population. We recognize that not all research has as its goal the development of accurate estimates of population values.
For example, in some instances directional measures may be sufficient. In others we might only want to test hypotheses about the interrelationships among characteristics, attitudes, and buying behavior. Under these and similar circumstances we might well use different criteria than described below to select a data collection method.
Market Strategies International (abstract) / (full text)
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.