Web Survey Bibliography
Readership Symposium’s on-line database. Is there really any more that we can learn or do about them? The answer has to be yes. Response rates are amongst the research industry’s most pressing challenges, especially amongst hard to reach groups such as businessmen and the young. And they are a moving target. Some ways that improve response in one market have no effect in others. For all these reasons, the Business Elite survey, which has run across multiple territories for more than 35 years and aims to speak to some of the most elusive and hard-to-reach people in any country, is an excellent place to test different approaches to improving response. Our paper will share some findings from recent experiments we have carried out with the BE samples in Asia and Europe, looking at areas such as respondent incentives, questionnaire length and appearance. We will examine results in different markets and amongst different segments of our target respondent.
Conference Homepage (abstract) / (full text)
Web Survey Bibliography - 2009 (626)
- Where Is the unproctored Internet testing train headed now?; 2009; Tippins, N. T.
- Statistical disclosure control for survey data; 2009; Skinner, C.
- Sampling of populations: methods and applications, 4th Edition; 2009; Levy, P. S., Lemeshow, S.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- Recovering the scientist-practitioner model: How IOs should respond to unproctored internet testing; 2009; Beaty, J. C. et al.
- Preserving the integrity of online testing; 2009; Burke, E.
- Mobile surveys from a technological perspective; 2009; Pferdekämper, T., Batanic, B.
- MarketTools TrueSample; 2009
- ISO 26362 Access panels in market, opinion, and social research-Vocabulary and service requirements; 2009
- Introduction to meta-analysis; 2009; Borenstein, M. et al.
- Internet alternatives to traditional proctored testing: Where are we now?; 2009; Tippins, N. T.
- Global market research 2009; 2009
- Getting data for (business) statistics: What's new? What's next?; 2009; Snijkers, G.
- From the Editor; 2009; Sackett, P. R.
- Exploring mode effects in a panel survey of new businesses; 2009; Santos, B., DesRoches, D.
- Dirty little secrets of online panels. And how the one you select can make or break your study; 2009
- comScore Media Metrix U.S. Methodlogy. An ARF research review; 2009; Cook, W. A., Pettit, R.
- Computing weights for the American National Election Study survey data; 2009; Debell, M., Krosnick, J. A.
- Cheating on proctored tests: The other side of the unproctored debate; 2009; Drasgow, F., Nye, C. D., Guo, J., Tay, L.
- Can we make official statistics with self-selection web surveys?; 2009; Bethlehem, J.
- Attitudes over time: The psychology of panel conditioning; 2009; Sturgis, P., Allum, N., Brunton-Smith, I.
- Association collaborative effort releases online research definitions, expands membership; 2009
- The Effect of Phrasing Scale Items in Low-Brow or High-Brow Language on Responses; 2009; Blasius, J., Friedrichs, J.
- Question and Questionnaire Design; 2009; Krosnick, J. A., Presser, S.
- Attrition in Consumer Panels; 2009; Tortora, R. D.
- Sample Design for Understanding Society ; 2009; Lynn, P.
- The 2008 Confirmit Annual Market Research Software Survey; 2009; Macer, T.; Wilson, Sheila
- Predicting Tie Strength With Social Media; 2009; Gilbert, E., Karahalios, K.
- A Special Report from the Advertising Research Foundation - The Foundations of Quality Initiative: A...; 2009; Walker, R., Pettit, R., Rubinson, J.
- Social Network Services as Data Sources and Platforms for e-Researching Social Networks; 2009; Ackland, R.
- A Web-Based Tool for Assessing and Improving the Usefulness of Community Health Assessments; 2009; Stoto, M. A., Straus, S. G., Bohn, C., Irani, P.
- The rise of survey sampling; 2009; Bethlehem, J.
- Using an ABS frame to recruit a probability-based online panel; 2009; DiSogra, C.
- Address Based Sampling: How to Do It, Practical Tips; 2009; Dutwin, D.
- Use of Incentives in Survey Research; 2009; Lavrakas, P. J.
- Stochastic properties of the Internet sample; 2009; Getka-Wilczynska, E.
- Continuous Measurement of Musically-Induced Emotion: A Web Experiment ; 2009; Egermann, H., Nagel, F., Altenmueller, E., Kopiez, R.
- Piloting Data Collection via Cell Phones: Results, Experiences, and Lessons Learned; 2009; ZuWallack, R. S.
- E-epidemiology : Adapting epidemiological methods for the 21st century; 2009; Bexelius, C.
- Survey results as incentives in online panels. Unpublished manuscript; 2009; Goeritz, A.
- Computing response metrics for online panels; 2009; Callegaro, M., DiSogra, C.
- Web based survey: an emerging tool; 2009; Srivenkataramana, T., Saisree, M.
- The Use of Online Methodologies in Data Collection for Gambling and Gaming Addictions; 2009; Griffiths, M. D.
- Designing and Implementing a Career Retrospective Web-based Survey of Library and Information Science...; 2009; Morgan, J. C., Marshall, J. G., Marshall, V., Thompson, C.
- Metadata-Driven Survey Design; 2009; Iverson, J.
- Questasy: Online Survey Data Dissemination Using DDI 3; 2009; de Bruijne, M., Amin, A.
- Methodeneffekte von Web-Befragungen: Soziale Erwünschtheit vs. Soziale Entkontextualisierung; 2009; Taddicken, M.
- Response Mode and Bias Analysis in the IRS’ Individual Taxpayer Burden Survey; 2009; Brick, J. M., Contos, G.,Masken, K.,Nord, R.
- Survey Mode Effects in Two Military Surveys; 2009; Yang, M., Falcone, A. E., Milan, L. M.
- Online Print Publications And The Viabiity Of Charging For On Line Content ; 2009; Vogel, J., Lee-LeGassick, K., Shullman, B., D’Amico, T.
