Web Survey Bibliography
We propose a probabilistic framework for the treatment of “don’t know” responses in surveys aimed at investigating human perceptions through expressed ratings. The rationale behind the proposal is that “don’t know” is a valid response to all extents because it informs about a specific state of mind of the respondent, and therefore, it is not correct to treat it as a missing value, as it is usually treated. The actual insightfulness of the proposed model depends on the chosen probability distributions. The required assumptions of these distributions first pertain to the expressed ratings and then to the state of mind of “don’t know” respondents toward the ratings. Regarding the former, we worked in the CUB model framework, while for the latter, we proposed using the Uniform distribution for formal and empirical reasons. We show that these two choices provide a solution that is both tractable and easy to interpret, where “don’t know” responses can be taken into account by simply adjusting one parameter in the model.
ScienceDirect (abstract) / (full text)
Web survey bibliography - 2014 (234)
- Undisclosed Privacy: The Effect of Privacy Rights Design on Response Rates; 2014; Haer, R., Meidert, N.
- Modelling ”don’t know” responses in rating scales; 2014; Manisera, M., Zuccolotto, P.
- Does Gamification Work? - A Literature Review of Empirical Studies on Gamification ; 2014; Hamari, J., Koivisto, J., Sarsa, H.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.
- The Effect of Benefit Wording on Consent to Link Survey and Administrative Records in a Web Survey; 2014; Sakshaug, J. W., Kreuter, F.
- Completion rates and non-response error in online surveys: Comparing sweepstakes and pre-paid cash incentives...; 2014; LaRose, R., Tsai, H. S.
- The accuracy of self-reported medical history: A preliminary analysis of the promise of internet-based...; 2014; Kelstrup, A. M., Juillerat, P., Korzenik, J.
- Panel Attrition - Separating Stayers, Fast Attriters, Gradual Attriters, and Lurkers; 2014; Lugtig, P. J.
- Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey; 2014; Tijdens, K. G.
- The use of within-subject experiments for estimating measurement effects in mixed-mode surveys ; 2014; Klausch, L. T., Schouten, B., Hox, J.
- Improving the Representativeness of Online Surveys ; 2014; Henning, J.
- GESIS Panel: Sample and Recruitment; 2014
- Online Surveys as a Management Tool for Monitoring Multicultual Virtual Team Processes; 2014; Scovotti, C.
- How much is shorter CAWI questionnaire VS CATI questionnaire?; 2014; Bartoli, B.
- WEBDATANET: A Network on Web-based Data Collection, Methodological Challenges, Solutions, and Implementation...; 2014; Tijdens, K. G., Steinmetz, S., de Pedraza, P., Serrano, F.
- The Use of Paradata to Predict Future Cooperation in a Panel Study; 2014; Funke, F., Goeritz, A.
- Incentives on demand in a probability-based online panel: redemption and the choice between pay-out...; 2014; Schaurer, I., Struminskaya, B., Kaczmirek, L.
- The Effect of De-Contextualisation - A Comparison of Response Behaviour in Self-Administered Surveys; 2014; Wetzelhuetter, D.
- Responsive designed web surveys; 2014; Dreyer, M., Reich, M., Schwarzkopf, K.
- Extra incentives for extra efforts – impact of incentives for burdensome tasks within an incentivized...; 2014; Schreier, J. H., Biethahn, N., Drewes, F.
- Students First Choice – the influence of mobile mode on results; 2014; Maxl, E.
- Device Effects: How different screen sizes affect answer quality in online questionnaires; 2014; Fischer, B., Bernet, F.
- Moving towards mobile ready web panels; 2014; Wijnant, A., de Bruijne, M.
- Innovation for television research - online surveys via HbbTV. A new technology with fantastic opportunities...; 2014; Herche, J., Adler, M.
- Mixed-devices in a probability based panel survey. Effects on survey measurement error; 2014; Toepoel, V., Lugtig, P. J.
- Online mobile surveys in Italy: coverage and other methodological challenges; 2014; Poggio, T.
- Distress Tolerance as a Predictor of Risky and Aggressive Driving; 2014; Beck, K. H., Ali, B., Daughters, S. B.
- African-American breast cancer survivors’ preferences for various types of physical activity interventions...; 2014; Paxton, R., Nayak, P., Taylor, W., Chang, S., Courneya, K., Schover, L., Hodges, K., Jones, L.
- Measuring well-being: An analysis of different response scales; 2014; van Beuningen, J., van der Houwen, K., Moonen, L.
- The impact of contact effort and interviewer performance on mode-specific nonresponse and measurement...; 2014; Schouten, B., Cobben, F., van der Laan, J., Arends, J.
- Topic sensitivity and research design: effects on internet survey respondents' motives; 2014; Albaum, G., Roster, C. A., Smith, S. M.
- Improving Survey Methods: Lessons from Recent Research; 2014; Engel, U., Jann, B., Lynn, P., Scherpenzeel, A., Sturgis, P.
- Picking up the Bread Crumbs: Holistic Insights from Social Media; 2014; Souda, P.
- Beauty is more than screen deep: Improving the web survey respondent experience through socially-present...; 2014; Casey, T. W., Poropat, A.