Web Survey Bibliography
Research associated with virtual worlds continues to grow as virtual worlds increase in popularity. The benefits of conducting research in virtual worlds include the recruitment of large numbers of respondents in a reasonable time and at low cost. Moreover, respondents can participate in research surveys from within the virtual world which increases convenience. However, this also raises new issues such as possible mode effects between real-world vs. virtual-world responses. Survey responses provided in a virtual world (e.g., Cybertown, Second Life, Muse) may differ qualitatively
from responses provided in a real world online (web) survey. It is important to determine what sorts of questions are vulnerable to change as well as the extent and direction of that influence. The results will inform our ability to interpret findings of virtual world-based research. In-world study participants will be recruited by a vendor with an established virtual presence. Data will be collected in the virtual world through a self-administered survey (e.g., a survey kiosk). Respondents who provide informed consent will be asked to complete a brief in-world survey of roughly 20 questions for a small virtual incentive (e.g., Linden dollars). The survey will include both demographic/factual questions as well as attitudinal/opinion questions. Respondents who complete the in-world survey will then be asked to complete a web survey in real life for a small real-life incentive. The web survey will be similar to the virtual-world survey. The analysis will focus on mode effects between the two sets of responses.
Conference Homepage (abstract)
Web survey bibliography (4086)
- Presidential Elections in Iceland 2012 – Did online panel surveys give false hope to new candidates...; 2012; Jonsdottir, G. A., Dofradottir, A. G., Bjornsdottir, A. E.
- Website exit surveys. What can we measure with them?; 2012; Andreadis, I.
- Challenges and pitfalls of measuring wages via web surveys - some explorations; 2012; Steinmetz, S., Bianchi, A., Tijdens, K., Biffignandi, S.
- Adaptation of Cognitive Interviews for Web; 2012; Mohorko, A., Hlebec, V.
- The Usage of a Cloud Service as an Effective Way of Sharing Cognitive and Usability Test Information; 2012; Rouhunkoski, J., Godenhjelm, P.
- Database Lookup in Web Surveys; 2012; Couper, M. P., Zhang, C., Conrad, F. G., Tourangeau, R.
- Firefly Online Surveys: A fully featured tool for Web surveys and forums; 2012; Deal, K.
- Analyzing Functionalities for Online Questionnaire System (OQS); 2012; Atown, H. Y.
- Internet Mobility Survey Sampling Biases in Measuring Frequency of Use of Transport Modes ; 2012; Diana, M.
- Why one should incorporate the design weights when adjusting for unit nonresponse using response homogeneity...; 2012; Kott, P. S.
- A beginner's guide to DIY research ; 2012; Cates, T.
- Qualitatively Speaking: Mobile qualitative finally hits its stride; 2012; Bryson, J.
- Comfortable in the new medium: How online qual can benefit from our share-happy culture ; 2012; Rubenstein, P.
- A Smarter Way to Select Respondents for Surveys; 2012; Terhanian, G., Bremer, J.
- Modular Survey Design for Mobile Devices; 2012; Johnson, A., Kelly, F.
- Innovation in online data collection for scientific research: the Dutch MESS project; 2012; Das, M.
- Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data; 2012; Sakshaug, J. W., Kreuter, F.
- Understanding the resilience of mail-back survey methods: An analysis of 20 years of change in response...; 2012; Rookey, B. D., Le, L., Littlejohn, M., Dillman, D. A.
- Using Collaborative Web Technology to Construct the Health Information National Trends Survey; 2012; Moser, R. P., Beckjord, E. B., Finney Rutten, L. J., Blake, K., Hesse, B. W.
- A Direct Comparison of Mobile Versus Online Survey Modes; 2012; Wells, T., Bailey, J., Link, M. W.
- The Reliability and Validity of Alternative Customer Satisfaction Measurement Scales in PC Web and Mobile...; 2012; Chrzan, K., Saunders, T.
- Nonresponse and Mode Effects in a Two-wave Randomized Mode Experiment; 2012; Beach, S., Musa, D.
- Question Order Effect: A Web Survey Experiment with Paradata; 2012; Ye, C., Tourangeau, R.
- Professional Respondents in Internet Panels: Who are They and What Do They Do to Our Data?; 2012; de Leeuw, E. D., Matthijsse, S.
- Using Text-to-Speech (TTS) for Audio-CASI; 2012; Couper, M. P., Kirgis, N., Buageila, S., Berglund, P.
- Using SMS Text Messaging To Collect Time Use Data; 2012; Brenner, P., DeLamater, J.
- A Shot in the Dark: Measurement Influence on Likelihood to Vaccination; 2012; Higgins, W. B., Thomas, R. K.
- Response Anchoring and Polarity Effects on Endorsement and Response Patterns; 2012; Higgins, W. B., Thomas, R. K.
- Update Your Status Lately? – Then Why Not Respond to Our Survey!; 2012; Borie-Holtz, D.
- Effects of Technical Difficulties on Item Nonresponse and Response Favorability in a Mixed-Mode Survey...; 2012; Gibson, J. L.
- Using Mixed-Mode Contacts to Facilitate Participation in Public Agency Client Surveys; 2012; Israel, G. D.
- Demonstration of the International Cross-Time, Cross-System Database; 2012; Miller, D.
- Telephone Status, Attitudes toward Participation in Future Surveys, and Willingness to Join a Local...; 2012; Beach, S., Musa, D.
- Where is Neutral? Using Negativity Biases to Interpret Thermometer Scores; 2012; Soroka, S., Albaugh, Q.
- I Got a Feeling: Comparison of Feeling Thermometers with Verbally Labeled Scales in Attitude Measurement...; 2012; Thomas, R. K., Bremer, J.
- Small sample surveys: Increasing rigor in supply chain management research; 2012; de Beuckelaer, A., Wagner, M. W.
- Question or Mode Effects in Mixed-Mode surveys: A Cross-cultural study in the Netherlands, Germany,...; 2012; de Leeuw, E. D., Nicolaas, G., Campanelli, P., Hox, J.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T., Wilson, S.
- Using Online Panels for National Surveys of Low Incidence Populations: Findings from the CDC Influenza...; 2012; Boyle, J., Ball, S., Ding, H., Srinath, K. P., Euler, G.
- Using Probability-based On-line Samples to Calibrate Non-probability Opt-in Samples; 2012; DiSogra, C., Cobb, C. L., Chan, E., Dennis, J. M.
- Understanding Smartphone Usage to Take Web Surveys: A Cross Country Analysis; 2012; Stapleton, C.
- Scale Orientation, Number of Scale Points and Grids in Mobile Web Surveys; 2012; Chrzan, K., Saunders, T., Jue, A.
- Use of a 2nd Reminder Mailing, Quick Response Code and Optimized Mobile Survey to Increase Response...; 2012; Cantave, M. A., Gentry, R. J.
- The Effect on Differential Mailing Methodologies on Response Rates: Testing Advanced Notices, Package...; 2012; Pens, Y., Gentry, R. J.
- The River Flows: Comparison of Experimental Effect Replicability with Different Sample Sources; 2012; Thomas, R. K.
- Intensifying the Request: Results from an Experiment on Improving Internet Response Rates for Address...; 2012; Messer, B. L., Dillman, D. A.
- The Persistence of Attentiveness in Web Surveys: A Panel Study; 2012; Berinsky, A., Luks, S., Rivers, D.
- Designing Interactive Interventions in Web Surveys: Humanness, Social Presence and Data Quality; 2012; Zhang, Che.
- The Effect of Mode on Participant Responses to Qualitative Research in Virtual Worlds; 2012; Dipko, S., Billington, C., Brick, P. D.
- The Direction of Rating Scales and Its Influence on Response Behavior in Web Surveys; 2012; Keusch, F.