Web Survey Bibliography
A key choice in the design of web surveys is whether to place the survey questions in a multitude of short pages or in long scrollable pages. There are advantages and disadvantages of each approach depending on the length, content, and complexity of the instrument. A few studies have experimentally examined the two designs, but these have been limited by small sample sizes, restricted evaluation criteria, and the types of instruments used, yielding inconclusive or contradictory findings. The often unrealistic assumption that all questions are relevant for all respondents (absence of a skip pattern) further limits the applicability of these results. These findings may have also been affected by time, as vast changes in the technology and web experience of respondents have occurred since then. In March 2003, we conducted a survey of over 21,000 undergraduate students at the University of Michigan. Ten percent of the 10,000 respondents were directed to the scrollable version of the survey, containing a single HTML form for each of the major sections. The balance were assigned to the paging version, in which questions were presented in small logical groupings to be visible on the screen without scrolling. The instrument contained over 100 questions, including topics that vary in sensitivity and desirability such as tobacco, alcohol, drugs, and sexual behavior. The survey also permitted comparison of the effect of skip patterns by implementing skip instructions and hyperlinks in the scrollable design, and also recorded time at the end of each of the five topical sections. A variety of process and outcome measures were used to explore differences between the two designs. We will present the results of these comprehensive analyses and address issues of the relative suitability of the alternative design approaches for different types of Web surveys.
Web survey bibliography - Peytchev, A. (13)
- Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse; 2011; Peytchev, A.; Carley-Baxter, L. R.; Black, M. C.
- Developing and Implementing Adaptive Total Design (ATD); 2011; Carley-Baxter, L. R., Mitchell, S., Peytchev, A., Day, O.
- Matrix Questionnaire Design to Reduce Measurement Error; 2011; Peytchev, A., Peytcheva, E.
- Increasing Respondents' Use of Definitions in Web Surveys; 2010; Peytchev, A., Conrad, F. G., Couper, M. P., Tourangeau, R.
- Experiments in Mobile Web Survey Design; 2008; Peytchev, A., Hill, C.
- Coverage Bias in Surveys Excluding Cell Phone Only Adults: Evaluation of Bias and Effectiveness of Post...; 2008; Peytchev, A., Carley-Baxter, L. R., Black, M. L.
- Experiments in Visual Survey Design for Mobile Devices; 2008; Peytchev, A., Hill, C.
- Mobile Web Survey Design; 2008; Peytchev, A. Hill, C.
- Following Up Nonrespondents to an Online Weight Management Intervention: Randomized Trial Comparing...; 2007; Couper, M. P., Peytchev, A., Strecher, V., Rothert, K., Anderson, K. J.
- Web Survey Design: Paging versus Scrolling; 2006; Peytchev, A., Couper, M. P., McCabe, S. E., Crawford, S. D.
- Web Survey Design: Paging vs. Scrolling; 2004; Peytchev, A., Crawford, S. D., McCabe, S. E., Conrad, F. G., Couper, M. P.
- Validations in Web-based Surveys; 2003; Crawford, S. D., Peytchev, A.
- Statistical Data Validation in Web Instruments:An Empirical Study; 2002; Peytchev, A., Petrova, E. A.