Web Survey Bibliography
In recent years, Web surveys have become a standard survey mode. So far, online questionnaires resemble their paper counterparts to a great extend: online measurement instruments rely mostly on visually presented written questions with associated response categories. From a methodological point of view this was a desired development since many researchers doubted the equivalence of comparability of results obtained by paper and pencil questionnaires on the one hand and Web surveys on the other hand. The similarity of paper and pencil questionnaire and online questionnaire made sure that measurements obtained by either mode would not differ to a great extend.
However, compared to paper and pencil questionnaires Web surveys allow for more rich communication with the respondent: graphical elements, pictures, sound and animated GIFs are used to enhance the appearance of web pages. Even thought the use of such elements in Web surveys is still not wide spread several authors have assessed the impact of such elements on data quality. The corresponding body of literature dealing with such effects can be summarized under the heading of visual design effect.
In this paper we will extend this line of research. We will assess the use of audio and video in order to convey the content of the question meaning. Thus, audio and video are no longer considered to be nuisance variables; we rather treat them as content-bearing meaningful elements of a Web Survey.
The paper reports results from a field experimental study on the impact of audio and video support in Web surveys on data quality. Within a Web survey among university students a standard interactive online questionnaire was used. A random sub-sample answered a version of the questionnaire that consists of not only written questions but also of corresponding audio files reading the questions to the respondent. Also, a questionnaire version providing video segments showing an interviewer reading the questions to the respondent is tested. Data quality is assessed using standard indicators (item non-response, social desirability scale, social presence scale, non-differentiation of responses and others) as well as the time to complete the survey are used.
Results will be discussed in the light of the feasibility of multimedia Web surveys as well as in terms human computer interaction.
Web Survey Bibliography - Online measurement (845)
- Online Survey Spawning, Administration And Management ; 2012; Jepson, S., Powlette, J. F., Queenan, M.
- Mixed Mode Survey Design: Mode Effect Problem; 2012; Sztabinski, F., Zmijewska-Jedrzejczyk, T.
- Transferring Telephone-Based National Household Travel Survey to the Internet ; 2012; Son, S., Khattak, A., Wang, X., Chen, J.-Y.
- Myths and realities of respondent engagement in online surveys; 2012; Downes-Le Guin, T., Baker, R. P., Mechling, J., Ruyle, E.
- Solving the Mode Mystery The Cost, Coverage and Quality Tradeoffs of Picking (and Mixing) Online and...; 2012; Cape, P. J., Phillips, K.
- A beginner's guide to DIY research ; 2012; Cates, T.
- Sample Survey on Sensitive Topics: Investigating Respondents’ Understanding and Trust in Alternative...; 2012; De Schrijver, A.
- Do You Know Who Your Respondents Are? Measuring Data Hygiene Using Respondent Validation; 2012; Frede, S., Suresh, N.
- How Online Technology May Open The Door to More Integrated Qual/Quant Research; 2012; Brandt, D., Markowitz, L.
- Designing an Instrument to Measure No-notice Emergency Evacuations: The Case of the Emergency Evacuation...; 2012; Bautista, R., Fontes, A., Auld, J., Sokolov, V.
- Auto vs. Manual Login Today: Updating Early Research; 2012; Crawford, S. D., McClain, C., Dugan, J. P.
- A Shot in the Dark: Measurement Influence on Likelihood to Vaccination; 2012; Higgins, W. B., Thomas, R. K.
- The River Flows: Comparison of Experimental Effect Replicability with Different Sample Sources; 2012; Thomas, R. K.
- Mode Effects Measurement and Correction: A Case Study; 2012; Kennedy, C., Ackermann, A., Turakhia, C., Emerson, M. O., James, A.
- The DRC Model for Hot Comment Processing; 2012; Waller, V., Eckel, P., Davies, A., Chandonnet, A.
- Advanced Paradata in Web Surveys: What Can They Tell about the Response Process?; 2012; Vehovar, V., Slavec, A., Berzelak, N., Lozar Manfreda, K.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Global market of web survey software: Status, trends and issues; 2012; Vehovar, V., Slavec, A., Berzelak, N., Lozar Manfreda, K.
- The “MediaLiveTracker” – A New Online-Tool for Real-Time-Response-Measurement; 2012; Kercher, J., Bachl, M., Voegele, C., Vohle, F.
- Paradata insight into survey response behaviour: An analysis of a set of hosted web surveys; 2012; Lozar Manfreda, K., Berzelak, N., Vehovar, V.
- Can mobile-web surveys substitute classic web-surveys? Results from an exploratory, comparative method...; 2012; Bohn, A., Doering, N., Maxl, E.
- Comparing Item-Non-Response and Open Questions within different Web Survey Types; 2012; Silber, H., Lischewski, J., Leibold, J.
- Better low-tech than sorry: How technophile questionnaires may affect psychological representativeness...; 2012; Funke, F., Reips, U. -D.
- A taxonomy of paradata for web surveys and computer assisted self interviewing (Casi); 2012; Callegaro, M.
- Sampling for Web Surveys.; 2012; Bethlehem, J., Biffignandi, S.
- Assessing the Effects of Technical Variance on the Statistical Outcomes of Web Experiments Measuring...; 2012; Brand, A., Bradley, M. T.
- Using the Internet to collect data; 2012; Reips, U. -D.
- User agent; 2011
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- The GfK NOP Media Efficiency Panel; 2011; Moy, C. et al.
- State of mobile measurement; 2011; Gluck, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Online survey research: Findings, Best practices, and future research; 2011
- Knowledge Networks answers to ESOMAR's "25 Questions to Help Research Buyers"; 2011
- In search of a new approach to measure newspaper audiences in Canada: The journey continues; 2011; Crassweller, A., Rogers, J., Graves, F., Gauthier, E., Charlebois, O.
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Google and Kantar develop measurement panel; 2011
- Going online with assessment; 2011; Burke, E. et al.
- Exploring the digital nation. Computer and Internet use at home; 2011
- Survey Data Quality Provisions in Statistics Canada E-Questionnaire Solution: Retrospective and Perspectives...; 2011; Abiza, Y.
- Developing Electronic Questionnaire Guidelines: Issues and Challenges in a Changing Environment; 2011; Cote, A.-M., Kelly, P., Lawrence, D.
- Triton: a general tool for data collection and micro editing; 2011; Erikson, J.
- A Generalized System for Aided Development and Monitoring of Web Surveys; 2011; Torelli, R.
- Ethical issues in Internet research; 2011; Hoerger, M., Currell, C.
- Using survey data collection as a tool for improving the survey process; 2011; Biffignandi, S., Perani, G., Laureti, A.
- ESOMAR AND CASRO submission to the W3C tracking protection working group - Market research techniques...; 2011
- The benefits and constraints of e-mail interviews and discussions as methods of accessing valid data; 2011; Roberts, A.
- “You are Invited to Participate”: Challenges of Applying Mixed Survey Methods to Assess...; 2011; Chew, F.
- Catch Them When You Can: Speeders and Their Role in Online Data Quality; 2011; Gutierrez, C., Wells, T., Rao, K., Kurzynski, D.