Web Survey Bibliography
Less than half a decade ago, online research had to proof in general that its data quality could keep up with traditional methods. Now that this initial debate has cooled and Web 2.0 is emerging, naturally the question arises how online research can profit from new web phenomena and surpass the features of traditional computer assisted interviews.
Web 2.0 can be considered as an evolution of the internet towards more interactivity and user generated content. Simultaneously, programming techniques such as Ajax (Asynchronous JavaScript and XML) are spreading. These can turn conventional “click-then-wait” content into a more desktop-like, low-latency, interactive one. If online researchers want to take advantage of this and create online surveys with interactive web 2.0 technologies, three key concerns are raised:
1. Can the average online user be surveyed with the new technology? Or do technical obstacles exist which either prevent her or him from filling out the questionnaire altogether or cause errors which distort the measurement?
2. How does the solution with the new technology compare to the older one? Does it yield to more or less information and do the results correlate well enough to ensure sufficient test reliability?
3. How do online users feel about the new survey technologies? Especially in market research, large numbers of users are routinely interviewed and surveys which are participant friendly are desirable to prevent from high rates of drop out within the survey and to ensure high participation rates in the long run.
To answer these questions, we carry out a case-study in which 300 online panel members are asked to rate various print and web stimulus material. 150 participants fill out a “traditional” HTML-based questionnaire (“web 1.0-group”). The other 150 participants fill out a HTML-based questionnaire which in addition features web 2.0 technologies to present and evaluate the stimuli (“web 2.0-group”). For example, the task of rating a print advertisement is helped with a magnifying glass. The task of rating web material is helped with an interactive “diary” tool ( NLR web scan ), which allows users to comment on websites while surfing on them.
To answer all three questions, we measure the failure rate due to technical problems. Furthermore, we calculate the inter-correlation between both methods as a measurement of inter-test-reliability and rate the amount and quality of collected data. Finally we assess the reaction of panellists towards the new technology: Does the new technology offer “joy of use” and support for “traditional” online research to keep up with the changing web landscape?
Based on all results, the acceptance and applicability of the web 2.0 technologies mentioned is evaluated and a recommendation for commercial as well as scientific use is provided.
General online research (GOR) 2008 (abstract)
Web Survey Bibliography (6390)
- Online Print Publications And The Viabiity Of Charging For On Line Content ; 2009; Vogel, J., Lee-LeGassick, K., Shullman, B., D’Amico, T.
- Measuring Internet And Press Audience In The Media Convergence Era. In Search Of A New Paradigm In Researching...; 2009; Pawlak, J., Póltorak, M.
- The Decline And Fall Of The Response Rate: The Fightback ; 2009; Green, A., Staplehurst, S., Windle, R.
- Internet Measurement of Ad-noting: Sampling and Statistical Issues; 2009; Frankel, M. R., Baim, J., Galin, M., Agresti, J., Augemberg, K.
- A Structured Approach For Reducing Bias In Surveys Using Online Access Panels ; 2009; Farrer, N., Dayan, Y.
- In Search of Readers: A Brave New World For Researches; 2009; Crassweller, A., Rogers, J., Williams, D.
- Audipresse Premium: Using The Internet To Help Measure Press Readership ; 2009; Saint-Joanis, G., Néraudau, J.
- Questionnaire Intelligence: New Rules Of Engagement For Online Survey Design ; 2009; McMahon, L., Stamp, R.
- Presenting Publications in Online Print Audience Questionnaires; 2009; Carroll, J., Collins, S., Farrer, N.
- Can Lengthy Surveys Work Online? The Experience of TGI GB; 2009; Greene, D., Impedovo, D.
- Methodological Tests On Online Research: Incidence Of Formal Aspects/Questionnaire Layout On The Results...; 2009; Schmutz, B., Lê Van Truoc, O.
- Online Interviewing through Access Panel: Quantity and Quality Assurance; 2009; Petric, I., Appel, M., de Leeuw, E. D.
- Sample Surveys Based on Internet Panels: 8 Years of Learning; 2009; Baim, J., Galin, M., Frankel, M. R., Becker, R., Agresti, J.
- Panel research providers respond to questions about their survey-invitation practices; 2009; Bruzzone, D., Bookbinder, J.
- Mobile research - the fifth methodology?; 2009; Snaith, T.
- Research-on-research helps American Cancer Society assess the best modes for an ongoing study; 2009; Blais, L. M., Roller, M. R.
- The impact of gender in e-mailed survey invitations; 2009; Derham, P.
- Using interactive technology to improve online questionnaire design; 2009; Chen, T., Estrin, D.
- How Web 2.0 made a long survey more palatable; 2009; Hebard, A. J.
- Faster than a speeding survey: Part II: The physician's perspective; 2009; Maciolek, T., Palish, J.
- Faster than a speeding survey: Part I: Rules of the road for online research with physicians; 2009; Maciolek, T., Palish, J.
- An examination of strategies for panel-blending; 2009; Fallig, M. A., Allen, D.
- How do respondent behaviors and online sample quality affect measures of ad performance?; 2009; Bruzzone, D.
- The value of consistency auditing of online panels; 2009; Gittelmam, S. H., Trimarchi, E.
- 10 ways to keep your panel respondents happy; 2009; Hardy, N.
- Survey says: new tools aim to ensure the integrity of online surveys. ; 2009; Quenqua, D.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2009; 2009; The American Association for Public Opinion Research
- College Experiences Survey: Methodological Summary. Final Report; 2009; DesRoches, D., Hall, J. W., Santos, B.
- Survey Platform: A Factor Influencing Online Survey Delivery and Response Rate ; 2009; Nair, C. S., Adams, P.
- Conference interpreters and their self-representation: A worldwide web-based survey ; 2009; Zwischenberger, C.
- What are They Asking Me? A Web Survey Experiment on Question Clarity and Measurement Error; 2009; Faas, T., Kaczmirek, L., Lenzner, A.
- Some Practical Issues in Cell Phone Interviewing from a Phone Room Perspective; 2009; Best, J., Hugick, L
- Measurement Error in Cell Phone Surveys; 2009; Kennedy, C., Everett, S. E., Traugott, M. W.
- Improving Response Rates on Both Landline and Cell Surveys Through the Strategic Use of Caller ID; 2009; Dayton, J. J., Burns, E., Levinson, A., Freedner, N., Hannah, K., Tarallo, B.
- Cell Phone Mainly and Cell Phone Mostly: A Comparison of Two Approaches to Dual Frame Cell Phone and...; 2009; Boyle, J., Cantor, J.
- PDA vs. Computer Web Survey Respondents; 2009; Stapleton, C
- Using Audio Computer-Assisted Self-Interviewing and Interactive Voice Response to Measure Elder Mistreatment...; 2009; Beach, S., Schultz, M., Degenholtz, H., Castle, N., Rosen, J., Fox, A., Meisel, A., Morycz, R.
- Exploring Inherent Differences Between CARI and Non-CARI Interviews; 2009; Sage, A., Keating, M.
- The Use of Advance Contact, Monetary Incentives, and Lotteries to Increase Response Rates in a Web Survey...; 2009; Stevenson, J., Dykema, J., Day, D., Bonham, V., Sellers, S.
- The Effect of Email Invitation Subject Title and Text on Online Survey Completion Rates in Internet...; 2009; Kruse, Y., Thomas, M., Nukulkij, P., Callegaro, M.
- Words, Numbers and Visual Heuristics in Web Surveys: Is There a Hierarchy of Importance?; 2009; Toepoel, V., Dillman, D. A.
- Web of Caring: Development of Web-Survey Best Practices; 2009; Ballou, J., Roff, B.
- Cell-Only Adults Versus Cell-Mostly Adults: Does It Make a Difference in the Results; 2009; Battaglia, M. P., Frankel, M. R., Balluz, L. S.
- Shifting Samples: The Impact of Wireless Substitution on National Estimates in RDD Surveys; 2009; Hannah, K.
- The Coverage Bias of Mobile Web Surveys; 2009; Fuchs, M.
- Refined or Biased Opinions? Examining Self-Selected Participation in Deliberation and Post-Survey in...; 2009; Wang, R., Siu, A.
- Mechanisms of Nonresponse in Cell Phone Surveys; 2009; Kennedy, C., Everett, S. E., Traugott, M. W.
- The Introduction of a Cell Phone Oversample to the Ohio Family Health Survey: Covering the Undercovered...; 2009; Duffy, T., Iachan, R., Bausch, S., Muzzy, S., ZuWallack, R. S.
- Examining the Relationship Between Survey Response Elicitation Efforts, Response Motivation, and Satisficing...; 2009; Lee, G., Rao, K.
- An Experiment in Using Prepaid Cell Phones to Interview Households Without an Available Phone Number; 2009; Brooks, K., Jaszczak, A., Wooten, K.

