Web Survey Bibliography
When conducting surveys on trade fairs and during events like concerts or sales promotions, two key challenges for the executing market research agency are: being mobile, i.e. being independent from technical infrastructure, and transforming the data of a large number of interviews quickly and efficiently into meaningful charts. Both goals can be reached by data collection via mobile telecommunication devices like mobile phones or PDA’s. Also when conducting mystery shopping projects or consumer studies in real usage occasions (e.g. in bars or at the beach) this way of collecting data has proven its worth.
Thinking about surveys on trade fairs, market researchers might be challenged to make first results accessible while fieldwork is still being continued (e.g. after the end of the second day of the fair). These insights might be used to further optimize the client’s presentation on the fair.
To face challenges like this, isi has developed a process and a technical infrastructure, in which the collected interview data will be transformed into meaningful charts in real-time, i.e. right after having completed an interview. These charts are accessible for the client anytime and anywhere via an online reporting tool.
With software that is optimized for mobile devices, an online questionnaire is developed. The data is collected by means of mobile phones or PDA’s using the 3G technology. Each dataset is stored in a database on a secure web server. An online reporting tool uses these datasets to visualize the results in charts which can be accessed by the client anywhere and everywhere.
The visualization of results is not even limited to the “total perspective”: The online tool allows making use of selection criteria to get deep insights into opinions and preferences of certain target segments (e.g. only females between 30 and 40 years).
In an isi case study, this approach will be depicted and the advantages of its high degree of automation will be pointed out.
General online research (GOR) 2008 (abstract)
Web Survey Bibliography (6374)
- 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.
- Conducting Virtual Survey Research: RTI’s Facility in the Online Community Second Life®; 2009; Dean, E., Hill, C.
- Dispositions and Outcome Rates in the “Face-to- Face/Internet Survey Platform" (the FFISP); 2009; Sakshaug, J. W., Tourangeau, K., Krosnick, J. A., Ackermann, A., Malka, A., Debell, M., Turakhia, C.
- Attrition in a Face-to-Face Recruited Internet Panel with Substantial Incentives; 2009; Malka, A., Krosnick, J. A., Ackermann, A., Debell, M., Turakhia, C.
- Lessons Learned About How to Accomplish Effective In- Person Recruitment of a Web-Equipped Survey Panel...; 2009; Ackermann, A., Krosnick, J. A., Turakhia, C., Debell, M., Malka, A., Jarmon, R.
- Comparing an Internet Panel Survey to Mail and Phone Surveys on “Willingness to Pay” for...; 2009; Grandjean, B. D., Taylor, P. A., Nelson, N. M.
- Comparison Study of Probability and Non-Probability Sample Surveys Conducted by Internet and Face to...; 2009; Yeager, D. S., Krosnick, J. A.
- Do They Mean What They Say? Efficacy Evaluation of Assigning Sample Members Without a Mode Preference...; 2009; Brown, S. M., Grigorian, K. H.
- Cost and Quality in Low-Cost Survey Alternatives: A Comparison of Mail Versus Web; 2009; Dutwin, D., Donelan, K.
- Online Opinions: A Pilot Study to Extend the UK's Social Data Collection Capabilities; 2009; Dunn, E.
- Text-Message Surveys: Results in a Flash; 2009; Uriell, Z. A., Clewis, E.
- Understanding the Political Distinctiveness of the Cell Phone Only Public; 2009; Ansolabehere, S., Schaffner, B. F.
- Inclusion of Mobile-Only Households in Canadian Television Ratings Panels; 2009; Arzumanian, N., Gray, D.
- Examining Cell-Only, Cell-Mainly and Landline-Mainly Populations in California; 2009; Lee, S.
- A Social Profile of the “Wireless-Only” and “Wireless- Mostly” Population; 2009; Barron, M., Wolter, K.
- The Effects of Web and Mail Mixed-Mode Approaches on Response Rates in a Survey of Physicians; 2009; McFarlane, E., Murphy, J., Olmsted, M. G., Severance, J.
- Mode Choice in a Longitudinal Mail/Web/Telephone Survey; 2009; Kovac, M., Rogers, B., Mooney, G., Trunzo, D.