Web Survey Bibliography
Title Optimizing open-ended questions in online questionnaires for measuring price perception and willingness to pay
Author Melles, T., Ellers, G.
Year 2006
Access date 21.09.2006
Abstract Open methods for the measurement of willingness to pay, like van Westendorp method, represent a sensible replenishment of the method portfolio. They avoid some of the systematic effects and artefacts other methods are threatened by. While open question formats usually are unproblematic used in telephone and personal interviews, conducting online-surveys open questions can lead to higher drop-out or click-through rates. Conduction pricing studies intended to discover statistically small effects in order to determine optimal pricing, the problems associated with open questions are especially disadvantageous. For this kind of research rather large sample sizes are necessary for which the number of cases can be highly affected by drop-out and click-through effects. To this moment there does neither exist a quantification of these effects necessary to determine accurate sample sizes, nor do we know about the premises and effects that can be influenced to reduce drop-out and click through effects. With this background we conducted a survey in an Online-Access-Panel. Different design aspects of the entry forms (size, position) and the kind of entry (forced, unforced) were systematically varied and their effects on drop-out and click-through effects assessed. In addition, several subjective measures (e.g. the felt difficulty of the task) were included for statistical control. Taken the results, best-practice recommendations for the conduction of online-pricing surveys will be derived and their possibility of implementation will be illustrated.
Access/Direct link Conference homepage (abstract)
Year of publication2006
Bibliographic typeConferences, workshops, tutorials, presentations
Full text availabilityNon-existant
Web survey bibliography (4086)
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- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
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- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
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- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- The Effect of Respondent Commitment on Response Quality in Two Online Surveys; 2017; Cibelli Hibben, K.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
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- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
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- Is There a Future for Surveys; 2017; Miller, P. V.
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- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
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- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.