Web Survey Bibliography
Relevance & research question: Conditional monetary incentives are often seen as a measure to increase initial survey response and reduce attrition in panel surveys. However, they constitute a substantial share of survey costs. To reduce these costs, most panel providers use on demand pay-out options while assuming that not all panelists redeem their incentives. It is common to provide respondents with various redemption options such as cash or coupons.
Our research goal is to investigate in what aspects the respondents who redeem incentives differ from those who do not. For the group of those respondents who redeem their incentives, we analyze respondents’ preferences for redemption options of bank transfer, voucher, and charity donation.
Method & Data: We analyze data from the GESIS Online Panel Pilot study, an offline-recruited probability-based online panel of Internet users. Starting in February 2011, respondents were surveyed every month for 8 months. The amount of incentives was varied experimentally during recruitment, comprising groups of 0, 2, 5 and 10 EUR per survey. Additionally, we have detailed information about patterns of incentive redemption. Panelists could request the payment of their collected incentives at any time such as collecting their money. Participants could mix the options of bank transfer, voucher, and donation.
Results: The analysis indicates that only half of potential incentive recipients use the redemption option. The probability of payment increases with every completed wave and incentive amount. Still among those who completed all 8 waves, about one fifth of panelists never initiate any incentive payment. About 80% of respondents chose only one type of incentive pay-out (among those, 48.75% bank transfer, 36.57% voucher, and 14.68% donation). The other 20% chose more than one incentive option. Further analyses show the type of incentive varies between groups of respondents. For example, men tend to choose the bank transfer option and women have a higher probability of donating the money.
Added value: Our analyses give useful insights into the patterns of incentive redemption and how different respondent groups can be reached by different incentive options.
GOR Homepage (abstract) / (presentation)
Web survey bibliography - Kaczmirek, L. (43)
- Online Survey Software; 2017; Kaczmirek, L.
- Du kommst hier nicht rein: Türsteherfragen identifizieren nachlässige Teilnehmer in Online-Umfragen; 2016; Merkle, B.; Kaczmirek, L.; Hellwig, O.
- Mode System Effects in an Online Panel Study: Comparing a Probability-based Online Panel with two Face...; 2015; Struminskaya, B.; De Leeuw, E. D.; Kaczmirek, L.
- Item nonresponse in open-ended questions: Identification and reduction in web surveys; 2015; Kaczmirek, L.; Behr, D.
- The Effectiveness of Mailed Invitations for Web Surveys and the Representativeness of Mixed-Mode versus...; 2014; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Assessing representativeness of a probability-based online panel in Germany; 2014; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- Incentives on demand in a probability-based online panel: redemption and the choice between pay-out...; 2014; Schaurer, I., Struminskaya, B., Kaczmirek, L.
- Does left still feel right? The optimal position of answer boxes in Web surveys - revisited; 2013; Lenzner, T., Kaczmirek, L.,Galesic, M.
- The Effectiveness of Mailed Invitations for Web Surveys; 2013; Bandilla, W., Couper, M. P., Kaczmirek, L.
- GESIS Online Panel Pilot: Results from a Probability-Based Online Access Panel; 2013; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.
- Effects of incentive reduction after a series of higher incentive waves in a probability-based online...; 2013; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- Sample composition discrepancies in different stages of a probability-based online panel; 2013; Bosnjak, M., Haas, I., Galesic, M., Kaczmirek, L., Bandilla, W., Couper, M. P.
- Testing the Validity of Gender Ideology Items by Implementing Probing Questions ; 2013; Behr, D., Braun, M., Kaczmirek, L., Bandilla, W.
- A Framework for the Collection of Universal Client Side Paradata (UCSP); 2012; Kaczmirek, L.
- Challenges of assessing the quality of a prerecruited probability-based panel of internet users in...; 2012; Struminskaya, B., Kaczmirek, L.
- Assessing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys; 2012; Behr, D., Braun, M., Kaczmirek, L.
- Little experience with technology as a cause of nonresponse in online surveys; 2012; Struminskaya, B., Schaurer, I., Kaczmirek, L., Bandilla, W.
- Establishing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys...; 2011; Braun, M., Behr, D., Kaczmirek, L.
- Online Research @ GESIS; 2011; Kaczmirek, L., Lenzner, T.
- Seeing Through the Eyes of the Respondent: An Eye-tracking Study on Survey Question Comprehension; 2011; Lenzner, A., Kaczmirek, L., Galesic, M.
- Asking sensitive questions in a recruitment interview for an online panel: the income question; 2011; Schaurer, I., Struminskaya, B., Kaczmirek, L., Bandilla, W.
- Cognitive process in answering questions: Are verbal labels in rating scales attended to?; 2011; Menold, N., Kaczmirek, L., Lenzner, T.
- Asking Sensitive Questions: Do They Affect Participation In Follow-Up Surveys?; 2011; Schaurer, I., Struminskaya, B., Kaczmirek, L., Bandilla, W.
- Which Technologies Do Respondents Use in Online Surveys – An International Comparison?; 2011; Kaczmirek, L., Behr, D., Bandilla, W.
- Social and Behavioral Research and the Internet: Advances in Applied Methods and Research Strategies; 2011; Das, M., Ester, P., Kaczmirek, L.
- Optimizing response rates in online surveys; 2010; Kaczmirek, L.
- Developing a Research Framework for Usability in Online Surveys: Human-Survey Interaction; 2010; Kaczmirek, L.
- Security and Data Protection: Collection, Storage, Feedback in Internet Research; 2010; Thiele, O., Kaczmirek, L.
- Is this e-mail relevant? An eyetracking experiment on how potential respondents read e-mail invitations...; 2009; Kaczmirek, L., Faaß, T., Galesic, M.
- 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.
- A literature review on constructing answer formats; 2009; Menold, N., Kaczmirek, L., Hoffmeyer-Zlotnik, J.
- Coverage- und Nonresponse-Effekte bei Online-Bevölkerungsumfragen ; 2009; Bandilla, W., Kaczmirek, L., Blohm, M., Neubarth, W.
- Internet Survey Software Tools; 2008; Kaczmirek, L.
- Increasing item completion rates in matrix questions ; 2008; Kaczmirek, L.
- Differences between respondents and nonrespondents in an Internet survey recruited from face-to-face...; 2007; Bandilla, W., Blohm, M., Kaczmirek, L. & Neubarth, W.
- Nicht-reaktive datenerhebung: Teinahmeverhalten bei befragungen mit paradaten evaluieren. [Non reactive...; 2007; Kaczmirek, L., Neubarth, W.
- Response time measurement in the lab and on the Web: A comparison; 2007; Galesic, M., Reips, U.-D., Kaczmirek, L., Czienskowski, U., Liske, N., von Oertzen, T.
- Applications of the Document Object Model (DOM) in Web-Surveys; 2007; Neubarth, W., Kaczmirek, L.
- Sampling Bias: Face to face to Web; 2007; Bandilla, W., Blohm, M., Kaczmirek, L., Neubarth, W.
- A short introduction to usability in online surveys; 2006; Kaczmirek, L.
- Standards in Online Surveys. Sources for Professional Codes of Conduct, Ethical Guidelines and Quality...; 2005; Kaczmirek, L., Schulze, N.
- Web Surveys. A Brief Guide on Usability and Implementation Issues; 2005; Kaczmirek, L.