Web Survey Bibliography
The age of Internet research is upon us. Despite the methodological constraints to conducting survey research on the Web, Internet-based methodologies have emerged as a viable mode of interviewing for many types of research. This is especially true when doing Web site assessments; that is, getting users and site visitors reactions to their Web site experience. Corporate America comes to the Internet with plans to extend their businesses, to forge new customer relationships, to produce sales through online commerce, and to serve their client bases. Since this medium is a new one, much experimentation with content offerings, navigation options and e-commerce is occurring on these Web sites. This means that businesses must find out what their site visitors are experiencing and how their sites compare with their competitors’. When faced with these types of decisions (with large sums of money being devoted to developing their Internet presences), companies turn to research to help guide them. From a research point-of-view, there are several methods for intercepting visitors to ask them to participate in a survey. For example you can: post a banner or icon on the site, fire e-mails to a sample of past visitors, have a pop-up invitation window, use a guest registration approach. This paper will discuss the pros and cons of each of these Web-intercept methods. Regardless of the method used, there are three main issues related to participation. First, what is the response to the invitation (hit rate)? Second, does the survey introduction work (call to action)? Finally, is the incentive compelling? Much research has been done on the use of incentives and survey/introduction design in more traditional types of surveys. This paper will discuss the experiences with manipulating the invitations, the introductions and the incentives for two Web assessment surveys, including the effect of changes on hit rates and completion rates. It should be noted that the findings presented in this paper can best be characterized as learnings. In other words, the Web surveys reported here were not designed to be experimental studies. Rather, in the midst of fielding the studies we aimed to improve our response with site visitors through the trial of a number of changes to the invitations, the intros and the incentives. In some cases, our response rates seem to show that a change was effective; in other cases, no such change was found. Therefore these findings should be viewed as qualitative and directional; nonetheless, we feel that valuable learnings were achieved that can be applied to future studies.
Web survey bibliography - 2000 (46)
- Pollsters Inside the Box; 2000; Clark, R.
- The threat of satisficing in surveys: The shortcuts respondents take in answering questions; 2000; Krosnick, J. A.
- Designing Web Usability; 2000; Nielsen, J.
- Comparison of telephone, mail, Web, and IVR surveys of drugs and alcohol use among University of Georgia...; 2000; Bason, J. J.
- The measurement of personal values in survey research: A test of alternative rating procedures; 2000; McCarty, J. A., Shrum, L. J.
- Model of behavioral intention. A two-factor motivational model of behavioral intention; 2000; Thomas, R. K.
- DMS/AOL's Opinion Place expands research services to offer broadest online representation available...; 2000
- Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—...; 2000; Agarwal, R., Sambamurthy, V., Stair, R.
- Old, new make up today's surveys.; 2000; James, D.
- Software Comes Down to Earth; 2000; Macer, T.
- Using Web questionnaires for judgement and decisoin making research; 2000; Baron, J., Siepmann, M.
- Tell me, what did you see? The stimulus on computers; 2000; Krantz, J. H.
- Computer software and qualitative analysis: trends, issues and resources; 2000; Lee, R. M., Esterhuizen, L.
- Web and Mail Survey: Comparison on a Large-Scale Project; 2000; Kennedy, J. M., Kuh, G. D., Li, J., Hayek, J., Inghram, J., Bannister, N., Segar, K.
- Method and Representation in Internet-Based Survey Tools: Mobility, Community, and Cultural Identity...; 2000; Witte, J. C., Amoroso, L. M., Howard, P. E. N.
- Developing Usability Guidelines for AudioCasi Respondents with Limited Literacy Skills; 2000; J., Schneider, S. J.
- Technology Effects: Do CAPI or PAPI Interviews Take Longer?; 2000; Fuchs, M., Couper, M. P., Hansen, S. E.
- What Users Want From a Tool for Analyzing and Documenting Electronic Questionnaires: The User Requirements...; 2000; Kelly, M.
- Documentation for 2000 Presidential Election Internet Survey; 2000; Alvarez, M. R., Sherman, R.
- Internet Panel Response To The 'State Of The Union' Address: An Experiment; 2000; Frankovic, K. A.
- Current Practices in Intraspinal Therapy - A Survey of Clinical Trends and Decision Making; 2000; Hassenbusch, S. J., Portenoy, R. K.
- Online qualitative research task force: report of findings; 2000; Sweet, C., Walkowski, J.
- International growth of Web survey activity; 2000; MacElroy, B.
- Using online focus groups for e-commerce research; 2000; Johnson, W.
- The future of online research; 2000; James, D.
- Taking It To The Web; 2000; Grant, A. T., Dispensa, G.
- An opposing view of online surveying; 2000; Gorman, J. W.
- You've got surveys; 2000; Lipke, D. J.
- Developing usable Web sites - a review and model; 2000; Cunliffe, D. V.
- Impact of measurement periods on website rankings and traffic estimation: a user-centric approach; 2000; Lee, Su., Leckenby, J. D.
- The power of online research; 2000; Taylor, H.
- Report from Portland. AAPOR conference focuses on Web research; 2000; Totten, J. W.
- Psychological Experiments on the Internet; 2000; Birnbaum, M. H.
- A Brief History of Web Experimenting; 2000; Musch, J., Reips, U.-D.
- Potential of the Internet for Personality Research; 2000; Buchanan, T.
- Using the Internet for survey research: A case study; 2000
- Leverage-saliency theory of survey participation; 2000; Groves, R. M., Singer, E., Corning, A.
- E-interviewers add human touch to Web-based research; 2000; Wygant, S., Feld, K. G.
- Variables influencing dropout rates in Web-based surveys; 2000; MacElroy, B.
- Research non-stop; 2000; Grecco, C.
- Measuring response rates in online surveys; 2000; MacElroy, B.
- Content Analysis of the World Wide Web: Opportunities and Challenges; 2000; Weare, C., -Y., Lin, W.-Y.
- Banner-advertised Web surveys; 2000; Tuten, T. L., Bosnjak, M., Bandilla, W.
- Use of E-Mail And Internet Surveys By Research Companies; 2000; Totten, J. W.
- A Comparison Of Mail, Fax, And Web-Based Survey Methods; 2000; Cobanoglu, C., Warde, B., Moreo, P. J.
- Introduction: Survey and Statistical Computing in the New Millennium; 2000; Banks, R.