Web Survey Bibliography
Title Reducing speeding in web surveys by providing immediate feedback
Author Conrad, F.; Tourangeau, R.; Couper, M. P.; Zhang, C.
Source Survey Research Methods; 11, 1, pp. 45-61
Year 2017
Access date 24.08.2017
Abstract It is well known that survey respondents reduce the effort they invest in answering questions by taking mental shortcuts – survey satisficing. This is a concern because such shortcuts can reduce the quality of responses and, potentially, the accuracy of survey estimates. This article explores “speeding,” an extreme type of satisficing, which we define as answering so quickly that respondents cannot give much, if any, thought to their answers. We test an interactive prompting technique designed to reduce speeding among online respondents. When respondents answered faster than a minimal response time threshold, they received a message encouraging them to answer carefully and take their time. Across six web survey experiments, this prompting technique reduced speeding on subsequent questions compared to a no prompt control. Prompting slowed response times whether the speeding that triggered the prompt occurred early or late in the questionnaire, in the first or later waves of a longitudinal survey, among respondents recruited from non-probability or probability panels, or whether the prompt was delivered on only the first or on all speeding episodes. In addition to reducing speeding, the prompts increased response accuracy on simple arithmetic questions for a key subgroup. Prompting also reduced later straightlining in one experiment, suggesting the benefits may generalize to other types of mental shortcuts. Although the prompting could have annoyed respondents, it was not accompanied by a noticeable increase in breakoffs. As an alternative technique, respondents in one experiment were asked to explicitly commit to respond careful. This global technique complemented the more local, interactive prompting technique on several measures. Taken together, these results suggest that interactive interventions of this sort may be useful for increasing respondents’ conscientiousness in online questionnaires, even though they are self-administered.
Access/Direct link Journal Homepage (abstract) / (full text)
Year of publication2017
Bibliographic typeJournal article
Web survey bibliography (4086)
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- Utjecaj vizualne orientacije skale za odgovaranje i broja stranica web-upitnika na rezultate ispitivanja...; 2017; Malikovic, M.; Svegar, D.; Somodzi, S.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- Analyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-...; 2017; Revilla, M.
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- Examining Completion Rates in Web Surveys via Over 25,000 Real-World Surveys; 2017; Liu, M.; Wronski, L.
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- Nonprobability sampling as model construction; 2017; Mercer, A. W.
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- Mobile Research im Kontext der digitalen Transformation; 2017; Friedrich-Freksa, M.
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- Survey mode influence on patient-reported outcome scores in orthopaedic surgery: telephone results may...; 2017; Hammarstedt, J. E.; Redmond, J. M.; Gupta, As.; Dunne, K. F.; Vemula, S. P.; Domb, B. G.
- Marketing survey research best practices: evidence and recommendations from a review of JAMS articles...; 2017; Hulland, J.; Baumgartner, H.; Smith, K. M.
- Comparative analysis of a mobile device and paper as effective survey tools; 2017; Kim, K. J.; Bae, S.; Park, E.
- Enhancing survey participation: Facebook advertisements for recruitment in educational research; 2017; Forgasz, H.; Tan, H.; Leder, G.; McLeod, A.
- Determinants of polling accuracy: the effect of opt-in Internet surveys; 2017; Sohlberg, J.; Gilljam, M.; Martinsson, J.
- Virtual reality meets sensory research; 2017; Depoortere, L.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- The Failure of the Polls: Lessons Learned from the 2015 UK Polling Disaster; 2017; Sturgis, P.
- Online customer journey analysis: a data science toolbox; 2017; Bonnay, D.
- Article Establishing an Open Probability-Based Mixed-Mode Panel of the General Population in Germany...; 2017; Bosnjak, M.; Dannwolf, T.; Enderle, T.; Schaurer, I.; Struminskaya, B.; Tanner, A.; Weyandt, K.
- PC, phone or tablet? Use, preference and completion rates for web surveys ; 2017; Brosnan, K.; Gruen, B.; Dolnicar, S.
- Comparing data quality and cost from three modes of on-board transit surveys ; 2017; Agrawal, A. W.; Granger-Bevan, S.; W.; Newmark, G. L.; Nixon, H.
- Web survey experiments on matrix questions; 2017; Liu, M.
- Web- and Phone-based Data Collection using Planned Missing Designs; 2017; Revelle, W.; Condon, M. D.; Wilt, J.; French, A. J.; Brown, A.; Elleman, G. L.
- Finding and Investigating Geographical Data Online; 2017; Martin, D.; Cockings, S.; Leung, S.
- CAQDAS at a Crossroads: Affordances of Technology in an Online Environment; 2017; Silver, C.; Bulloch, L. S.
- Online Focus Groups; 2017; Abrams, M. K.; Gaiser, T. J.
- Artificial Intelligence/Expert Systems and Online Research; 2017; Brent, E.
- Improving the Effectiveness of Online Data Collection by Mixing Survey Modes; 2017; Dillman, D. A.; Hao, F.; Millar, M. M.
- Online Survey Software; 2017; Kaczmirek, L.
- Online Survey Design; 2017; To, N.
- Sampling Methods for Online Surveys; 2017; Fricker, R. D.
- Research Design and Tools for Online Research; 2017; Hewson, C. M.
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- Three Methods for Occupation Coding Based on Statistical Learning; 2017; Geweon, H.; Schonlau, L.; Blohum, M.; Steiner, St.