Web Survey Bibliography
Internet surveys can utilize various types of design features to increase interaction with respondents. Very little research has been done on the effects of the interactivity of the web on the quality of responses. This paper examines how interactive features of internet surveys can help reduce item non response in open-ended questions and improve the quality of responses to these questions. This research builds upon two previous studies among US students, that have shown motivational statements (Smyth et al., forthcoming) and interactive follow-up probes (Holland and Christian, 2007) can improve the quality of responses to open-ended questions. In this study the main question to be answered is: Can motivational statements and interactive probing help to improve the quality of the responses of the general population of the Dutch people to open-ended questions and increase the number of respondents that provide an answer?
In this study the effects of motivational statements and follow-up probes on responses to four open-ended questions are explored. The questionnaire used for this experiment included four open-ended questions and several closed-ended questions about the current situation in Dutch society. The survey was conducted in the Dutch CentERdata LISS panel. This LISS panel consists of about 5,000 households; the reference population for the LISS panel is the Dutch speaking population permanently residing in the Netherlands.
Including a motivational statement with the initial question or asking a follow-up probe slightly improved response rates and response quality to open-ended questions in a web survey. Including a motivational statement with the open-ended question significantly improved response rates for only one question but its inclusion increased the average number of words in all four questions. Not very many respondents provided a response to the follow-up probe. However, respondents who were probed provided significantly longer answers than those who were not probed for three of the four questions. The mean number of words was higher when a motivational statement was included with the follow-up probe than with the initial question screen.
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.