Web Survey Bibliography
Research Now has pioneered a series of parallel tests to determine whether Flash Tools improve data quality by examining how response rates and completion rates are impacted. Further, we seek to understand whether any data differences exist and if so, what are they and how should they be considered as Flash tools are implemented. The presentation will briefly review some of the Flash tools currently being used by online survey firms with the major focus on examining live results from the parallel tests.
Key questions addressed will be: How are response rates impacted when Flash is used? What about completion rates? How does actual data compare between surveys that include Flash programming versus those that do not? Is the data consistent? If not, is there an improvement with surveys containing Flash tools? In what ways is the data improved? How best can researchers address these differences and implement these tools? What about respondents? Does the use of flash improve their experience? Does it take respondents less time to complete a survey or more time? Does it matter? Are they more satisfied with the experience, such that they say so and respond better next time they are asked to participate in a survey?
The DMS session is one-third of this panel presentation. Our session will focus on using third-party technologies for validating online respondents. By validating the identities of survey takers, researchers can become more confident in their online research results. DMS will share learning and some data trends from our validation experience.
- View a more precise, more data driven understanding of how Flash tools impact on results
- Apply specific guidelines on how best to implement Flash tools
- Have a clear indication of how respondents react to these technologies and whether they are more responsive, satisfied, and engaged
Abstract (50th MRA Annual Conference and RIF 2007)
Web Survey Bibliography - Other new technologies (183)
- Twitter mood predicts the stock market.; 2011; Bollen, J., Mao, H., Zeng, X.-J.
- The power of qualitative research in the era of social media; 2011; Branthwaite, A., Patterson, S.
- Web based CATI on Amazon Elastic Compute Cloud and VirtualBox using queXS; 2011; Zammit, A.
- Web/Cloud Based CATI Using queXS; 2011; Zammit, A.
- Partnership-Driven Resources to Improve and Enhance Research (PRIMER): A Survey of Community-Engaged...; 2011; Dolor, R. J., Greene, S. M., Thompson, E., Baldwin, L.-M., Neale, A. V.
- Weaving the Web into Personal Communication Networks: A Mobile Phone Based Study of Smartphone Users; 2011; Kobayashi, T., Boase, J.
- Different functioning of rating scale formats – results from psychometric and physiological experiments...; 2011; Koller, M., Salzberger, T.
- Wireless Health Monitoring, Feedback, and Health Behaviors; 2011; Kooreman, P., Scherpenzeel, A.
- ELIPSS: A New Mobile Web Panel for Social Scientists; 2011; Lesnard, L.
- Measurement invariance in training evaluation: Old question, new context; 2011; P., Gissel, A., Stoughton, J. W., Whelan, T. J.Clark, A. P.
- Differential Mailing Methodologies on Response Rates: Testing Advance Notices, Blast Telephone Messages...; 2011; Gentry, R. J., Pens, Y.
- Which Technologies Do Respondents Use in Online Surveys – An International Comparison?; 2011; Kaczmirek, L., Behr, D., Bandilla, W.
- Method Effects and Robo-polls; 2011; van Lohuizen, J., Samohyl, R. W.
- Studying Political Behavior: A Comparison of Internet and Telephone Surveys; 2011; Stephenson, L. B., Crête, J.
- Use these five Web-based approaches to shrink your research timelines, costs ; 2011; Cutler, A. D.
- The impact of next and back buttons on time to complete and measurement reliability in computer-based...; 2010; Hays, R. D. et al.
- ReCal: Intercoder Reliability Calculation as a Web Service ; 2010; Freelon, D. G.
- The impact of incentives and interview methods on response quantity and quality in diary- and booklet...; 2010; Bonke, J., Fallesen, P.
- Computer Literacy and the Accuracy of Substance Use Reporting in an ACASI Survey; 2010; Johnson, T. P., Fendrich, M., Mackesy-Amiti, M. E.
- Continuous Measurement of Musically-Induced Emotion: A Web Experiment ; 2009; Egermann, H., Nagel, F., Altenmueller, E., Kopiez, R.
- Survey Research in Virtual Worlds: Second Life R as a Research Platform; 2009; Hill, C., Dean, E.
- Computer-Assisted Audio Recording (CARI): Repurposing a Tool for Evaluating Comparative Instrument Design...; 2009; Edwards, B., Hicks, W., Tourangeau, K., Harris-Kojetin, L., Moss, A.
- Paradata and Blaise: A Review of Recent Applications and Research; 2009; O’Reilly, J.
- Quality assurance through Computer Audio- Recorded Interviewing (CARI): The Statistics New Zealand Case...; 2009; Seymour, C.
- The Video-Enhanced Web Survey Data Quality and Cognitive Processing of Questions; 2009; Fuchs, M.
- Summaries of Address-Based Sampling Presentations at the AAPOR Annual Meeting; 2009; W., Daily, G., Shuttles, D. C., Yancey, L. T., Thu Burks, A., Bourquin, C.Link, M. W.
- Using Web 2.0 application Twitter for formative course evaluation: a case study; 2009; Burger, C., Stieger, S.
- Mobile phone surveys in mixed mode environment; 2009; Vehovar, V.
- Introducing Visual Methods ; 2008; Prosser, J., Loxley, A.
- Comparing river respondents to panelists; 2008; Brien, D., Courtright, M., Stark, M.
- How do online communities compare to online panels?; 2008; Heist, G. S., Sanders, M. S.
- Data Collection on Handheld Computers with Voice Recognition Technology; 2008; Malakhoff, L.
- The Role of New Technology and its’ Effect on Best Practices Methodology; 2008; Kendall, E.
- How Animated Agents Affect Responses in Open-Ended Interviews about Alcohol Use; 2008; Person, N. K.
- Virtual Interviews on Mundane, Non-Sensitive Topics: Dialog Capability Affects Response Accuracy More...; 2008; Conrad, F. G., Schober, M. F., Jans, M., Orlowski, R. A., Nielsen, D.
- The MacroPoll Wireless Experience: Development and Lessons Learned.; 2008; Austin, J. D., Zullwack, R., Dyer, A., Dayton, J. J.
- Pilot Development of a Smartphone-Enabled Full-Probability Panel; 2008; Hill, C., Biemer, P. P., Coombs, D., Eyerman, J.
- Predicting Survey Bias in a Brave New Mobile World: Using the Behavioral Theory of Lifestyle Adoption...; 2008; Ehlen, P., Ehlen, J.
- Experiments in Visual Survey Design for Mobile Devices; 2008; Peytchev, A., Hill, C.
- Virtual Assisted Self Interviewing (VASI) : An Expansion of Survey Data Collection Methods to the Virtual...; 2008; Bell, M. W., Castronova, E., Wagner, G. G.
- Communicative Channels, Cognitive Processes and Question Understanding: Results from a Randomized Field...; 2008; Fuchs, M.
- Face-to-Face Surveys; 2008; Dykema, J., Basson, D., Schaeffer, N. C.
- Using Chat Tools to Perform Evaluation Interviews Eve-Marie Larsen; 2007; Larsen, E.-M.
- Crypto law survey; 2007; Koops, B. -J.
- Guidelines for Designing Questionnaires for Administration in Different Modes; 2007; Martin, E.; Hunter, J. E.; DeMaio, T.; Hill, J.; Reiser, C.; Gerber, E.; Styles, K.; Dillman, D. A.
- Video Web Surveys: Results from field-experimental comparisons with text-based Web surveys; 2007; Fuchs, M., Funke, F.
- Using Technology to Improve Data Quality; 2007; Cunningham, J., Pearson, C., Parkhurst, D.
- Maximising respondent engagement: The use of rich media; 2007; Reid, J., Morden, M., Reid, A.
- Reducing Nonresponse by SMS Reminders in Mail Surveys; 2007; Virtanen, V., Sirkiš, T., Jokiranta, V.
- New Market Insights by Analysing Public Online Communication ; 2007; Troemel, M.