Web Survey Bibliography
In the field of online research, and particularly with respect to online access panels, the amount of information the research institute should provide its respondents with when sending out invitations is still discussed quite controversially.
On the one hand, revealing too many details holds the risk of self-selection among potential participants. Furthermore, if the topic is explained, experienced panellists only interested in incentives might adjust their answers to the screening questions in order to take part in every possible survey. Such behaviour is likely to cause untrue statements and bias in the studies’ results.
On the other hand, not including enough information in invitations involves the risk of potential participants deciding not to take part in a survey as they are, for instance, unsure about the incentives or the amount of time they have to invest in order to complete the questionnaire.
Consequently, the following questions arise:
Is it sufficient to just inform the panel members that there is a questionnaire waiting for completion? Should information on the length of the survey, the field time and the incentives paid for completion be included in the email? Or would it even benefit the response and results to announce the topic of the survey?
The lecture aims at eliciting answers to these questions.
It is based on an empirical study including about 30 experiments with 1000 respondents each. In the course of this study, the invitation-emails were systematically varied, and the different response rates were monitored.
The information content of the emails was differentiated in a way that one part of the panellists always received a mail containing extensive information about the study, whilst two additional groups either received information regarding the questionnaire’s length and the incentive or were informed about the topic of the survey. A last group finally obtained an invitation only including a link to the questionnaire but no additional information describing the survey at all.
The analysis of the projects realised aims at identifying and presenting the optimal information content of email- invitations for online surveys.
Conference homepage (abstract)
Web survey bibliography (4086)
- Comments on the Articles (2) - A Failure to Communicate; 2009; Tucker, C.
- Reply to Fahimi et al Comments; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- Zero Banks: Coverage Error in List Assisted RDD Samples; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- Combining Data from Probability and Non-Probability Samples Using Pseudo-Weights; 2009; Elliott, M. R.
- Respondent-Oriented Interaction Design Reduces Item Nonresponse in Internet Surveys; 2009; Kaczmirek, L.
- Panel Discussion: Does Mixed Mode Help Us Increase Response Rates?; 2009; Kaczmirek, L.
- Applying theory to structure respondents' stated motivations for participating in web surveys; 2009; Han, V., Albaum, G., Wiley, J. B., Thirkell, P.
- The Collected Works of Robert M. Groves, 6 Book Set (Wiley Series in Survey Methodology); 2009; Groves, R. M.
- Complex Surveys: A Guide to Analysis Using R (Wiley Series in Survey Methodology); 2009; Lumley, T. S.
- Applied Survey Methods: A Statistical Perspective (Wiley Series in Survey Methodology); 2009; Bethlehem, J.
- Increasing the use of e-consultation in primary care: Results of an online survey among non-users of...; 2009; Nijland, N., van Gemert-Pijnen, J. E. W. C., Boer, H., Steehouder, M. F., Seydel, E. R.
- Web-based survey attracted age-biased sample with more severe illness than paper-based survey; 2009; Klovning, A., Sandvik, H., Hunskaar, S.
- How To Get Paid Taking Surveys In Your Spare Time!; 2009; Magwood, R.
- Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market...; 2009; Boye Olsen, S.
- Disability and Self-Management Practices of People with Bipolar Disorder: A Web-Based Survey ; 2009; Depp, C. A., Stricker, J. L., Zagorsky, D., Goodale, L. C., Eyler, L. T., Patterson, T. L., Lebowitz...
- Social Attitude Differences between Internet Users and Non-users; 2009; Robinson, J. P., Martin, S. P.
- Online Election Surveys: Keeping the Voters Honest? ; 2009; Gibson, R., McAllister, I.
- A recipe for effective participation rates for web-based surveys ; 2009; Bennett, L., Nair, C. S.
- Empirical Evaluation of Web Survey Software Tools: Powerful or Friendly?; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K., Horvat, T., Debevc, M.
- Qualitative Research via Internet: Asynchronous Online Discussions and the Use of WebCT; 2009; Giatsi Clausen, M., Nicol, M., Gill, J.
- Representativeness of Mobile Internet Surveys - A comparative study of CAMI vs. CATI ; 2009; Maier, U., Neubarth, W., Grosser, A., Hombach, A.
- The use of online data-collection in financial services market measurement research : the FRS experience...; 2009; Cooke, M., Watkins, N.
- Using flash type questions – stroke of luck or curse for data quality?; 2009; Laufer, S., Klapproth, U., Noll, S.
- Pause Mechanism in Complex Online Surveys; 2009; Milewski, J.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Generic or Project-Specific Mail? – The Influence of Invitations on Response Behaviour in the...; 2009; Schroll, S.
- Relevance Of Health-Related Online-Information In Offline- And Online-Samples; 2009; Stetina, B. U., McElheney, J., Lehenbauer, M., Hinterberger, E., Pintzinger, N., Kryspin-Exner, I.
- Data Collection online: Can do, must (not) do, Should do; 2009; Diesner, J., Gadeib, A., Lüttschwager, F., Sassinot-Uny, L.
- Three Different Designs of Type Ranking‐Questions; 2009; Sackl, A.
- Usability of Mobile Surveys; 2009; Tarkus, A.
- Gay and Lesbian People: The Use of Online Communication Services; 2009; Lehenbauer, M., Stetina, B. U., Kryspin-Exner, I.
- An Online Study on Coping with Anxiety and Disease-Specific Internet Use in Panic Attack Sufferers; 2009; König, D., Hiebler, C., Kryspin-Exner, I.
- Distortion of demographics through technically induced dropout in restricted online surveys; 2009; Voracek, M., Stieger, S., Goeritz, A.
- An Internet-based Study on Coping with Illness and Attitudes towards Online Health Care in Cancer Patients...; 2009; Setz, J., König, D., Kryspin-Exner, I.
- WebEXEC: A Short Self-Report Measure of Executive Function Suitable for Administration via the Internet...; 2009; Buchanan, T., Heffernan, T. M., Parrott, A. C., Ling, J., Rodgers, J., Scholey, A. B.
- Let's go formative: Continuous student ratings with Web 2.0 application Twitter; 2009; Burger, C., Stieger, S.
- Don't know and no opinion responses in Web surveys; 2009; Mechling, J., Baker, R. P., Couper, M. P.
- Mixed Methods in Online Research; Conceptualisation and Future Research Agenda; 2009; Koller, M., Sinitsa, E.
- Market Research Online and Offline - Differences in output and processing of Qualitative Online and...; 2009; Knorr, H., Krischke-Ramaswamy, M.
- Informal Learning in Virtual Communities. Individual Practice between Information Retrieval, Observation...; 2009; Kahnwald, N.
- Self-Efficacy Of Online Health Seekers; 2009; Stetina, B. U., Schramel, C., Lehenbauer, M., Schawill, W., Kryspin-Exner, I.
- Volumetric Forecast based on Online Access Panels; 2009; Rodenhausen, T., Drewes, F.
- How representative are sentiments expressed in social media for the marketing target audience? A comparison...; 2009; Jarchow, C., Thomas, J.
- SNB - Social Network Barometer; 2009; Drosdow, M., Geißler, H.
- Payments via Paypal as an Incentive in Online Panels; 2009; Goeritz, A., Wolff, H.-G., Goldstein, D. G.
- Advertising Effects of Online Video Ads; 2009; Wolf, M., Schönfeldt, J.
- Online election forecasts; 2009; Faas, T., Geißler, H.
- Propensity Score Adjustment for Web Survey of Voting Behavior: A Case in Japan; 2009; Kobayashi, T.
- Why Do I Use the Social Web?” Exploring the Motives of Active and Passive Users via Focus Groups...; 2009; Jers, C., Taddicken, M., Schenk, M.
- Diffusion of Mobile Services Adoption in Taiwan; 2009; Doong, H.-S., Wang, H.-C.