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 - Standards, codes (445)
- Forum - Research 2.0: engage or give up the ghost?; 2009; Oxley, M., Light, B.
- Summaries of Address-Based Sampling Presentations at the AAPOR Annual Meeting; 2009; W., Daily, G., Shuttles, D. C., Yancey, L. T., Thu Burks, A., Bourquin, C.Link, M. W.
- Effects of Questionnaire Length on Participation and Indicators of Response Quality in a Web Survey; 2009; Galesic, M., Bosnjak, M.
- Questionnaire Survey Nonresponse: A Comparison of Postal Mail and Internet Surveys ; 2009; Hoonakker, P., Carayon, P.
- Open-Ended Questions in Web Surveys: Can Increasing the Size of Answer Boxes and Providing Extra Verbal...; 2009; Smyth, J. D., Dillman, D. A., Christian, L. M., McBride, M.
- Using Internet survey paradata to optimize survey questionnaire design; 2009; Heerwegh, D.
- Nonresponse in the Recruitment of an Internet Panel Based on Probability Sampling; 2009; Hoogendoorn, A., Daalmans, J.
- Internet research differs from research on internet users: some methodological insights into online...; 2009; Lohmann, M., Schmucker, D. J.
- Improving survey response in mail and internet general public surveys using address-based sampling and...; 2009; Messer, B. L.
- Are Mode Preferences Real?; 2009; Millar, M. M., O'Neill, A. C., Dillman, D. A.
- The Internet as a research site: establishment of a web-based longitudinal study of the nursing and...; 2009; Huntington, A., Gilmour, J., Schluter, P., Tuckett, A., Bogossian, F., Turner, C.
- Mobile Phone Interviewing - Why being engaged is a good thing!; 2009; Johnson, A. J., Martin, P.
- Mobility, Flexibility and Identity - How the use of mobile questionnaires improves the data quality...; 2009; Hellwig, O., Wirth, T.
- Anytime, Anywhere Mobile Interviewing: Comparing Mobile Voice and Web Response Patterns; 2009; Petit, F. C.
- Using mobile phones to measure TV-broadcast quality; 2009; Wieland, J. L., Puggaard, B.
- Life360: Use of Mobile Technology for Electronic Ethnographic Studies; 2009; W., Lai, J. W., Vanno, L., Makowska, H., Benezra, K., Green, M.Link, M. W.
- Ethical suicide research: A survey of researchers ; 2009; Lakeman, R., Fitzgerald, M.
- Mobile phone surveys in mixed mode environment; 2009; Vehovar, V.
- Survey Methodology (Wiley Series in Survey Methodology); 2009; Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., Tourangeau, R.
- Introducing Visual Methods ; 2008; Prosser, J., Loxley, A.
- Providing Real-Time Incentives for Anonymous Web Surveys; 2008; Heinrich, T.
- Technology and the Survey Interview and Questionnaire; 2008; Couper, M. P.
- Quality Criteria for Quantitative, Qualitative and Mixed Methods Research: A View from Social Policy...; 2008; Bryman, A., Becker, S., Sempik, J.
- Encyclopedia of Survey Research Methods; 2008; Lavrakas, P. J.
- Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method ; 2008; Dillman, D. A., Christian, L. M., Smyth, J. D.
- The Methodological Issues Associated With Internet-Based Research; 2008; Beddows, E.
- Experiments in Mobile Web Survey Design; 2008; Peytchev, A., Hill, C.
- A multimedia-based and time-sensitive interactive web survey for road user opinion on traffic condition...; 2008; Posawang, P., Phosaard, S., Polnigongit, W., Pattara-Atikom, W.
- CAQDAS, Secondary Analysis and the Coding of Survey Data; 2008; Fielding, N.
- Machines that Learn how to Code Open-Ended Survey Data: Underlying Principles, Experimental Data, and...; 2008; Sebastiani, F.
- Computer coding of 1992 ANES Like/Dislike and MIP responses; 2008; Fan, D. P.
- CATA (Computer Aided Text Analysis) Options for the Coding of Open-Ended Survey Data; 2008; Skalski, P.
- Classifying Open Occupation Descriptions in the Current Population Survey; 2008; Conrad, F. G., Couper, M. P.
- Coding Responses Generated by Open-Ended Questions: Meaning Matching or Meaning Inference?; 2008; Potter, J.
- Open-ended questions and text analysis; 2008; Popping, R.
- Coding Verbal Data - What to Optimize?; 2008; Krippendorff, K.
- Practical advice for conducting ethical online experiments and questionnaires for United States psychologists...; 2008; Barchard K. A., Williams, J.
- Research Instruments: Driving e-Science? ; 2008; Schroeder, R.
- The US Institutional Review Board and Online Research Ethics; 2008; Markham, A., Buchanan, E. A., Ess, C.
- What Can We Achieve With 5 Euros? Optimization of Survey Data Quality Using Mixed-Mode Approaches; 2008; Berzelak, N., Vehovar, V., Lozar Manfreda, K.
- Measuring Non-Response Cross Nationally; 2008; Blom, A. G.
- Testing the Effects of Multiple Manipulations on Print and Online Survey Response Rates: Lessons Learned...; 2008; Bachman, M., Vaccaro, D.
- Validating Check-All and Forced-Choice Question in a Paper Survey of Provincial Park Campground Users...; 2008; Dyck, B., Moore, D.
- Rate of Response in Web-Based Data Collection as a Factor of Author of E-mail Invitation; 2008; Mitra, A.
- Graduate vs. Undergraduate Student Respondent Behavior Differences in Web Surveys; 2008; Showen, S., Eisenberg, D., Roe, D. J.
- Mode Effects and Non-Response Bias in an Undergraduate Student Satisfaction Survey: Results from a Randomized...; 2008; Beach, S., Musa, D., Beeson, P., Sparks, C.
- Worth the Weight?: The Benefits and Pitfalls in Applying Survey Weights to Web Surveys of College Undergraduates...; 2008; Bloom, J. D.
- Improving the Efficiency of Web Survey Experiments; 2008; Luks, S., Rivers, D.
- Computing Metrics for Online Panels; 2008; Callegaro, M., DiSogra, C.
- 2006 Canadian Census Internet Mode Effect Study; 2008; Grondin, C., Sun, L.,