Web Survey Bibliography
Many different response formats have been used in web-based survey to measure attitudes. Two common measures are numeric box entry and single response radio buttons. A newer technique has been the visual analog scale (VAS). In web-based surveys, respondents click on the line that best represents their position. Another common method often used in telephone surveys to measure attitudes has been a branching approach - first measure the direction of attitude and then the degree of attitude.
One issue in the use of attitude measures is the extent to which cultural and country differences in scale usage could influence responses. Some have suggested that the VAS or branching approaches may be measures that could minimize cultural biases. In this study we investigated branching, radio button, numeric box, and VAS attitudinal measures across multiple countries. Respondents were asked to indicate how much they liked doing a variety of behaviors using the scales assigned. They were then asked how often they engaged in the behavior in the past 30 days, which formed the primary criterion. We examined the length of time it took to complete the scales (branching and VAS took the longest), and will report on how response distributions were affected by response format and culture, and how response format affected criterion-related validity.
Conference homepage (abstract)
Web Survey Bibliography - Online measurement (845)
- Propensity Score Weighting – Can Personality Adjust for Selectivity?; 2013; Glantz, A., Greszki, R.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- E-questionnaire in cross-sectional household surveys; 2013; Karaganis, M.
- GESIS Online Panel Pilot: Results from a Probability-Based Online Access Panel; 2013; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.
- Online Survey – Research with children on advertising impact; 2013; Funkenweh, V., Busch, J., Amthor, A. L., Boeer, A., Gaedke, J.
- HTML5 and mobile Web surveys: A Web experiment on new input types; 2013; Funke, F.
- Metadata on the demographics of online research: Results from a full-range study of available online...; 2013; Burger, C., Stieger, S.
- How the screen-out influence the dropout of a commercial panel; 2013; Bartoli, B.
- Rewards - Money for Nothing?; 2013; Cape, P. J., Martin, P.
- Web coverage in the UK and its potential impact on general population web surveys; 2013; Callegaro, M.
- Life history calendars - a viable method for web-based data collection?; 2013; Glasner, T., van der Vaart, W.
- Measurement issues in web surveys: An overview of opportunities and challenges; 2013; Calderwood, L.
- Issues of Coverage and Sampling in Web Surveys for the General Population: An Overview; 2013; Lynn, P.
- The Design of Grids in Web Surveys; 2013; Couper, M. P., Tourangeau, R., Conrad, F. G., Zhang, C.
- Survey Research; 2013; Abbott, M. L., McKinney, J.
- Understanding and Applying Research Design; 2013; Abbott, M. L., McKinney, J.
- Large-Scale Analysis and Testing; 2013; Cao, M., Zhang, Q.
- Virtual Research Methods; 2013; Hine, C.
- Informed Consent for Web Paradata Use; 2013; Couper, M. P., Singer, E.
- Measurement invariance and quality of composite scores in a face-to-face and a web survey; 2013; Revilla, M.
- Surveying “difficult-to-sample” backpackers through Facebook? Employing a mixed-mode dual...; 2013; Morris Paris, C.
- Online Instruments, Data Collection, and Electronic Measurements: Organizational Advancements; 2013; Bocarnea, M. C., Reynolds, R. A., Baker, J. D.
- Examining the Gender Effects of Different Incentive Amounts in a Web Survey; 2013; Boulianne, S. J.
- Worldwide online research spending; 2012
- Unintentional mobile respondents; 2012; Peterson, G.
- Tracking preference expression (DNT); 2012
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The practice of social research; 2012; Babbie, E. R.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference?; 2012; Mavletova, A. M., Couper, M. P.
- Selection bias of internet panel surveys: A comparison with a paper-based survey and national governmental...; 2012; Tsuboi, S. et al.
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Redeveloping the research section of Meningitis UK's website — A case study report; 2012; Witt, J. et al.
- Participation of mobile users in traditional online studies; 2012; Jue, A.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Media tracker; 2012
- Measuring the quality of governmental websites in a controlled versus an online setting with the ‘...; 2012; Elling, S. et al.
- Internet use in households and by individual in 2012. Eurostat Statistics in Focus 50/2012; 2012; Seybert, H.
- Guide to social science data preparation. Best practice throughout the data life cycle; 2012
- Google et Médiamétrie créent une audience bimédia; 2012; Gonzales, P.
- Flowing with the mainstream. Is mobile market research finally living up to the hype?; 2012; Townsend, L.
- Online Surveys 2.0; 2012; Elferink, R.
- The Impact of Academic Sponsorship on Online Survey Dropout Rates; 2012; Allen, P. J., Roberts, L. D.
- Snowball Sampling in Online Social Networks; 2012; Raissi, M., Ackland, R.
- Data quality of questions sensitive to social-desirability bias in web surveys; 2012; Lozar Manfreda, K., Zajc, N., Berzelak, N., Vehovar, V.
- Online Questionnaires: Development of ‘basic requirements’; 2012; Tries, S., Blanke, K.
- Efficacy of a health-related Facebook social network site on health-seeking behaviors; 2012; Woolley, P., Peterson, M.
- Paradata; 2012; Kreuter, F.

