Web Survey Bibliography
The majority of online research is now conducted via discontinuous online access panels, which promise high response rates, sampling control, access to populations that are hard to reach, and detailed information about respondents. To sustain a critical mass of respondents, overcome panel attrition and recruit new panel members, marketers must understand how they can predict and explain what motivates people to participate repeatedly in online surveys. Using the newly developed survey participation inventory (SPI) measure, we identify three clusters of participants, characterised as voicing assistants, reward seekers and intrinsics. Our results suggest that most online surveys are filled out by intrinsically motivated respondents that show higher participation rates, response effort and performance; incentives do not offer an important response motive.
Data base (abstract/ full text)
Web Survey Bibliography - Internet access Panels (461)
- GESIS Online Access Panel Pilot Study: Recruitment and Panel Maintenance; 2012; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.
- The German Internet Panel: First Results from the Recruitment Phases; 2012; Blom, A. G.
- Panel retention rate and data quality: experimental results drawing on Reciprocity design; 2012; Biffignandi, S., Artaz, R.
- Web panels in Slovenia; 2012; Lenar, J., Vehovar, V.
- Preventative care to extend panelist’s lifetime: A driver analysis on panelist engagement; 2012; Johnson, E. P., Schiers, J.
- Consistency in Global Non-Probabilistic Online Samples; 2012; Gittelman, S. H., Trimarchi, E.
- Innovation in online data collection for scientific research: the Dutch MESS project; 2012; Das, M.
- Panel Conditioning: Results from Two Experiments in a Probability-based Online Panel; 2012; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- Do Surveys that are Completed on Mobile Devices Differ from Surveys Completed Online, Over the Phone...; 2012; Gluck, A.
- Professional Respondents in Internet Panels: Who are They and What Do They Do to Our Data?; 2012; de Leeuw, E. D., Matthijsse, S.
- What Number of Scale Points in an Attitude Question Optimizes Response Validity and Administration Practicality...; 2012; Yeager, D. S., Anand, S., Krosnick, J. A.
- 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.
- The Persistence of Attentiveness in Web Surveys: A Panel Study; 2012; Berinsky, A., Luks, S., Rivers, D.
- The Effect of Mode on Participant Responses to Qualitative Research in Virtual Worlds; 2012; Dipko, S., Billington, C., Brick, P. D.
- Investigating Nonresponse Bias in a Nonresponse Bias Study; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E., Charlebois, O.
- The Effects of Vignette Placement on Survey Estimates: A Split Ballot Experiment; 2012; Strohm, C. Q., Seltzer, J. A., Bianchi, S. M.
- Technique to Blend Probability and Non-probability Internet Samples; 2012; DiSogra, C.
- A Systematic Review of Studies Investigating the Quality of Data Obtained with Online Panels; 2012; Callegaro, M., Villar, A., Krosnick, J. A., Yeager, D. S.
- Exploring New Pathways to Survey Recruitment; 2012; Bilgram, V., Stadler, D.Jawecki, G.
- The “MediaLiveTracker” – A New Online-Tool for Real-Time-Response-Measurement; 2012; Kercher, J., Bachl, M., Voegele, C., Vohle, F.
- Data quality in MAWI and CAWI; 2012; Mavletova, A. M., Blasius, J.
- Can mobile-web surveys substitute classic web-surveys? Results from an exploratory, comparative method...; 2012; Bohn, A., Doering, N., Maxl, E.
- Scrutinizing Dynamics – Rolling panel waves in theory and practice; 2012; Faas, T., Blumenberg, J. N.
- The German Internet Panel: Design of a Probability-Based Online Survey; 2012; Blom, A. G., Gathmann, C., Holthausen, A., Riepe, C.
- The price we have to pay: Incentive experiments in the recruitment process for a probability-based online...; 2012; Schaurer, I., Struminskaya, B., Kaczmirek, L., Bandilla, W.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- New Insights about market research with an iPad-panel; 2012; Manouchehri, A., Rieber, D., Moughrabi, C.
- Reducing the Threat of Sensitive Questions in Online Surveys; 2012; Couper, M. P.
- Asking Probing Questions in Web Surveys: Which factors have an Impact on the Quality of Responses? ; 2012; Behr, D., Kaczmirek, L., Braun, M., Bandilla, W.
- Software Review: SurveySwipe; 2012; Macer, T.
- Data Use: Trying to bring the numbers alive ; 2012; Rung, J., Woll, B., Edstrom, C.
- Survey methods in an age of austerity: Driving value in survey design; 2012; Williams, J.
- Comparing Google Consumer Surveys to Existing Probability and Non-Probability Based Internet Surveys...; 2012; McDonald, P., Mohebbi, M., Slatkin, B.
- A Potential Solution for Easing Authentication of Respondents for a Web-Based Survey?; 2012; Baum, H. M.
- Exploring Animated Faces Scales in Web Surveys: Drawbacks and Prospects; 2012; Emde, M., Fuchs, M.
- Reminders in Web-Based Data Collection: Increasing Response at the Price of Retention?; 2012; Goeritz, A., Crutzen, R.
- The GfK NOP Media Efficiency Panel; 2011; Moy, C. et al.
- New Esomar survey on use of cookies and tracking technologies; 2011
- Knowledge Networks answers to ESOMAR's "25 Questions to Help Research Buyers"; 2011
- In search of a new approach to measure newspaper audiences in Canada: The journey continues; 2011; Crassweller, A., Rogers, J., Graves, F., Gauthier, E., Charlebois, O.
- Google and Kantar develop measurement panel; 2011
- ESOMAR AND CASRO submission to the W3C tracking protection working group - Market research techniques...; 2011
- “You are Invited to Participate”: Challenges of Applying Mixed Survey Methods to Assess...; 2011; Chew, F.
- Classic Inspirations for Social Research Methodology in the time of Online Access Panels ; 2011; Jeřábek, H.
- Beyond data stability: Rising above quality concerns; 2011
- Background - QSOAP; 2011
- Amazon's Mechanical Turk. A new source of inexpensive, yet high quality, data?; 2011; Buhrmester, M., Kwang, T., Gosling, S. D.
- The optimal number of response options in internet panel surveys; 2011; Thorsdottir, F.
- Online Research @ GESIS; 2011; Kaczmirek, L., Lenzner, T.
- E-dater, Artificial Actors, and German Households; 2011; Hebing, M.

