Web Survey Bibliography
Relevance & research question: Positive effects of incentives in longitudinal surveys for initial participation are well-documented in the literature. Introducing or increasing an incentive amount on panels has also received scholarly attention. However, increased usage of incentives raises concerns about creating respondents' expectations of being paid for survey participation. Our research goal is to answer the question whether respondents form incentive expectations after having participated in several monthly surveys or whether they are motivated by their experience within the panel. The latter would allow saving on incentives in later waves.
Data and method: We analyze data from the offline-recruited probability-based online panel conducted by GESIS. Starting in February 2011, respondents were surveyed every month for 8 months. The panel implemented differential incentives: the amount was varied experimentally during recruitment, comprising groups of 0, 2, 5 and 10 EUR. Additionally, we tested the effect of a one-time 20 EUR bonus payment for responding to 8 questionnaires in some groups. At the end of the 8th online survey we requested an agreement for further participation. Those respondents, who agreed, received an invitation to the 9th survey, for which the incentive was changed to 2 EUR (increase for 0-EUR-group, no change for 2 EUR group and a decrease for 5- and 10-EUR groups).
Results: First results indicate that incentive manipulations do not affect completion rates of the wave where incentive reduction or increase was implemented. The previous response history is one of the most significant predictors for participation in the 9th wave. Measures of survey enjoyment from the previous wave can only partly predict longitudinal response.
Added value: We report reassuring findings that respondents are not affected by possible expectations of a specific incentive. This implication may be of interest if faced with budget constraints, which make increase of incentives not affordable or even force to consider a reduction of future incentives. As large-scale panel surveys generally do not employ incentive manipulations for ethical or logistical reasons, our results can have a practical value in panel management strategies.
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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.