Web Survey Bibliography
Design decisions for Web surveys are restricted by the assumptions about the technologies respondents have available. Measurement problems might occur when fully labeled scales are displayed on small computer screens or when respondents participate via cell phones and other mobile devices such as Netbooks, iPhone, Ipad, or Blackberry. In these cases, the required equidistance of scale points could be violated. Other technologies whose availability are relevant in this context are Flash technology and the respondents‘ connection speed, that are key indicators for successful video presentations, and Java Script which is widely used in automatic data validation procedures. JavaScript is also necessary for all interactive question types such as automatic tally questions or visual analog scales. In the process of designing a survey, the availability of these technologies is then highly relevant for the technical pretest. As pretesting is restricted to the most common combinations of technology, such as specific browsers, mobile devices, and connection speed, it is important to know which combinations really are the most common in the target group. This study provides exactly this data on available technologies for countries with different Internet penetration rates, namely Canada, Denmark, Germany, Hungary, Spain, and the United States (N=480 per country, quotation on age, gender and education). Data was collected automatically, similarly to the collection of paradata, in January 2011 while respondents participated in an Internet survey. The participants were sampled from online access panels. The results provide information about the availability of technology in different demographic groups: How do respondents access online surveys (connection speed, browser, mobile devices)? What technology can survey researchers safely design for (screen size and used window size, Flash, JavaScript)? The study shows that most surveys can use a wide range of design choices, but also that specific groups of respondents need a conservative approach.
Conference Homepage (abstract)
Web survey bibliography - The American Association for Public Opinion Research (AAPOR) 66th Annual Conference, 2011 (26)
- The smart(phone) way to collect survey data; 2013; Stapleton, C.
- Exploring Health-related Experiences and Access to Care: Differences between Online and Telephone Survey...; 2011; Doty, M. M., Peugh, J., Shand-Lubbers, J.
- Using Community Information and Survey Methodology for Bias Reduction to Enhance the Quality of the...; 2011; Harvey, J., Prabhakaran, J., Spera, C., Zhang, Zh.
- Response Quantity, Response Quality, and Costs of Building an Online Panel via Social Contacts.; 2011; Toepoel, V.
- The Influence Of The Direction Of Likert-Type Scales In Web Surveys On Response Behavior In Different...; 2011; Keusch, F.
- An Injured Party?: A Comparison of Political Party Response Formats in Party Identification.; 2011; Schwarz, S., Barlas, F. M., Thomas, R. K., Corso, R. A., Szoc, R.
- Asking Sensitive Questions: Do They Affect Participation In Follow-Up Surveys?; 2011; Schaurer, I., Struminskaya, B., Kaczmirek, L., Bandilla, W.
- Designing Questions for Web Surveys: Effects of Check-List, Check-All, and Stand-Alone Response Formats...; 2011; Dykema, J., Schaeffer, N. C., Beach, J., Lein, V., Day, B.
- Differential Sampling Based on Historical Individual-Level Data in Online Panels.; 2011; Kelly, R. H.
- Web Survey Live Validations - What Are They Doing?; 2011; Crawford, S. D., McClain, C.
- Comparing Numeric and Text Open-End Responses in Mail and Web Surveys.; 2011; Olson, K., Smyth, J.
- Effects of Response Formats when Measuring Attitudes in Consumer Web Surveys Across Markets.; 2011; Couper, M. P., Nunge, E.
- Re-Examining the Validity of Different Survey Modes for Measuring Public Opinion in the U.S.: Findings...; 2011; Ansolabehere, S., Fraga, B., Schaffner, B. F.
- How to Survey All 14 000 Swedish Local Political Representatives And Get 10 000 Responses.; 2011; Gilljam, M., Granberg, D., Holm, B., Persson, M.
- Measuring User Satisfaction in the Lab: Questionnaire Mode, Physical Location, and Social Presence Concerns...; 2011; Jans, M., Romano, J. C., Ashenfelter, K. T., Krosnick, J. A.
- Interactive interventions in web surveys can increase response accuracy.; 2011; Conrad, F. G.
- Impact on Data Quality of Making Incentives Salient in Web Survey Invitations.; 2011; Zhang, Che.
- Effects of Mode and Incentives on Response Rates, Costs, and Response Quality in a Mixed Mode Survey...; 2011; Stevenson, J., Dykema, J., Kniss, C., Black, P., Moberg, P.
- Effects of Differential Incentives on Response Rates in Four Countries for a Web-based Follow Up Survey...; 2011; McSpurren, K.
- Completing Web Surveys on Cell-enabled iPads.; 2011; Dayton, J., Driscoll, H.
- The Social Aspect of the Digital Divide; 2011; Johnson, E. P.
- Which Technologies Do Respondents Use in Online Surveys – An International Comparison?; 2011; Kaczmirek, L., Behr, D., Bandilla, W.
- Matrix Questionnaire Design to Reduce Measurement Error; 2011; Peytchev, A., Peytcheva, E.
- Race-of-Virtual-Interviewer Effects; 2011; Conrad, F. G., Schober, M. F., Nielsen, D.
- Which Web Survey Respondents Are Most Likely to Click for Clarification?; 2011; Coiner, T., Schober, M. F., Conrad, F. G.
- Providing Clarifying Instructions in a Web Survey; 2011; Redline, C. D.