Web Survey Bibliography
With the popularity of the Internet, web surveys have become increasingly prevalent. Upon the arrival of an email invitation for a web survey, individuals may make four decisions about participating in the web survey: (a) to open the e-mail or not, (b) to click the link to the web survey or not, (c) to start to answer any question or not, and (d) to complete all web survey questions or not. However, little is known about how individuals make these decisions, what variables are associated with each of these decisions respectively, and if individuals make each of these decisions quickly and automatically or slowly and deliberately.
The present study aims to answer four questions: (1) What are the web survey participation rates at these four stages? (2) What variables are associated with web survey participation at four stages? (3) What web survey features do individuals pay attention to when participating in web surveys? (4) Are the decisions to participate in web surveys fast and automatic or slow and deliberate?
Data were collected from students in a public research university in the Northeastern United States. A web survey followed by an in-class paper-based survey was used. A total of 160 web surveys and 975 paper-based surveys were collected. Descriptive statistics and logistic regression were used to analyze the data.
There are four major findings of the study. First, the number of participants declined over the four stages. Second, contextual variables, individuals' characteristics, and their interaction significantly predicted the web survey participation decisions at the four stages. Third, individuals paid uneven attention to various web survey features. Fourth, individuals generally made decisions to participate in web surveys in a quick and automatic fashion.
Findings of the study provide empirical evidence to help understand web survey participation at the four stages of decision making. In addition, the study contributes to the development of theories in the field of web survey methodology and decision making, and the design of more effective surveys.
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Web survey bibliography - 2013 (465)
- Hunting for healthy new ideas: Experiences in global online qualitative; 2013; Mabey, M., Ziffer, J.
- Comparison of US Panel Vendors for Online Surveys; 2013; Cella, D., Craig, B. M., Hays, R. D., Pickard, A. S., Reeve, B. B., Revicki, D. A.
- Web Social Science: Concepts, Data and Tools for Social Scientists in the Digital Age; 2013; Ackland, R.
- Recruitment of Sex Buyers: A Comparison of the Efficacy of Conventional and Computer Network-Based Approaches...; 2013; Kolar, K., Atchison, C.
- The Digital Divide in Europe; 2013; Zillien, N.; Marr, M.
- Use of Web and Phone Survey Modes to Gather Data From Adults About Their Young Adult Children: An Evaluation...; 2013; Abbott, R. D.; Fleming, C. B.; Marchesini, G.; Elgin, J.; Haggerty, K. P.; Woodward, D.; Catalano, R...
- Postal recruitment into a longitudinal online panel survey. The effects of different number of reminder...; 2013; Martinsson, J.
- Investigation of background acoustical effect on online surveys: A case study of a farmers' market...; 2013; Tang, Xi.
- The world in 2013. ICT facts and figures; 2013
- The Recruitment of the Access Panel of German Official Statistics from a Large Survey in 2006: Empirical...; 2013; Amarov, B.; Rendtel, U.
- Effects of Gamification on Participation and Data Quality in a Real-World Market Research Domain ; 2013; Cechanowicz, J., Gutwin, C., Brownell, B., Goodfellow, L.
- Migraine and pregnancy: an internet survey; 2013; Allais, G. et al.
- The Impact of News Photos on Support for Military Action; 2013; Soroka, S.; Loewen, P.; Fournier, P.; Rubenson, D.
- Ideal participants in online market research: Lessons from closed communities; 2013; Heinze, A., Ferneley, E., Child, P.
- Evaluating Arts-Based Cancer Education Using an Internet Survey among Alaska Community Health Workers...; 2013; Cueva, M., Cueva, K., Dignan, M., Lanier, A., Kuhnley, R.
- The internet user profile of Italian families of patients with rare diseases: a web survey; 2013; Tozzi, A. E., Mingarelli, R., Agricola, E., Gonfiantini, M., Pandolfi, E., Carloni, E., Gesualdo, F.,...
- Internet health information seeking is a team sport: Analysis of the Pew Internet Survey; 2013; Sadasivam, R. S., Kinney, R. L., Lemon, S. C., Shimada, S. L., Allison, J. J., Houston, T. K.
- Social Research Methods - Qualitative and Quantitative Approaches, Second Edition; 2013; Bernard, H. R.
- Microsoft Security Intelligence Report, Volume 15; 2013
- A Comparison of Results from a Spanish and English Mail Survey: Effects of Instruction Placement on...; 2013; Wang, K., Sha, M.
- Research Note: Reducing the Threat of Sensitive Questions in Online Surveys?; 2013; Couper, M. P.
- Is accuracy only for probability samples? Comparing probability and non-probability samples in a country...; 2013; Martinsson, J., Dahlberg, S., Lundmark, S.
- Internet Coverage and Coverage Bias in Europe: Developments Across Countries and Over Time; 2013; Mohorko, A., de Leeuw, E. D.,Hox, J.
- Identifying the real differences of opinion in social media sentiment; 2013; Pettit, A.
- Global market research 2013; 2013
- Exploring the Digital Nation: America’s Emerging Online Experience; 2013
- Measurement Effects of Survey Mode on the Equivalence of Attitudinal Rating Scale Questions; 2013; Klausch, L. T., Hox, J., Hox, J., Schouten, B.
- The effect of email invitation characteristics and response reluctance on non-response in web forum...; 2013; Petrovcic, A., Lozar Manfreda, K., Petric, G.
- Education in the Responsible Conduct of Research in Psychology: Methods and Scope; 2013; DiLorenzo, T. A., Becker-Fiegeles, J., Gibelman, M.
- Different approaches to measure ego-centered social support networks: a meta-analysis; 2013; Hlebec, V., Kogovsek, T.
- Decisions, Observations, and Considerations for Developing a Mobile Survey App and Panel; 2013; Roe, D. J., Zhang, Yu., Keating, M.
- Online questionnaire development: Using film to engage participants and then gather attitudes towards...; 2013; Middleton, A., Bragin, E., Morley, K. I., Parker, M.
- Intra-individual variation of extreme response style in mixed-mode panel studies; 2013; Aichholzer, J.
- Australia: building a 21st century readership survey; 2013; Green, A., White, H.
- The new swiss national readership survey: fit for the future ; 2013; Amschler, H., Hoffmann, J.
- Co-creation with TickiT: Designing and evaluating a clinical eHealth platform for youth; 2013; Whitehouse, S. R.
- Foster strengths and circumvent weaknesses: Advantages and disadvantages of online versus face-to-face...; 2013; Qiu, M., McDougall, D.
- Decision making in web survey participation of undergraduate students; 2013; Fan, W.
- The effect of language in answering qualitative questions in user experience evaluation web-surveys; 2013; Walsh, T., Nurkka, P., Petrie, H., Olson, J.
- Assessing data quality with time measurements of responses in the Estonian mixed-mode survey experiment...; 2013; Lumiste, K.
- Mixed-mode and the European Social Survey (ESS): evidence from the UK ; 2013; Park, A., Humphrey, A., Agur, M.
- Does Internet Use Improve Surveys?: Studies of Costs, Response Rates and Coverage. ; 2013; Lesser, V. M., Newton, L., Yang, D.
- An Experimental Evaluation of How Mode Sequence for offering Internet, Mail and Telephone Options Affects...; 2013; Finamore, J., Dillman, D. A.
- Survey errors and costs - comparison of mixed-mode and face - to face ESS surveys in Estonia; 2013; Ainsaar, M., Lumiste, K., Lilleoja, L., Roots, A.
- ESS Mixed Mode Experiment Results in Estonia (CAWI and CAPI Mode Sequential Design); 2013; Ainsaar, M., Lilleoja, L., Lumiste, K., Roots, A.
- Video Content in Web Surveys: Effects on Selection Bias and Validity; 2013; Shapiro-Luft, D., Cappella, J.
- Recruitment strategies of methamphetamine-using men who have sex with men into an online survey; 2013; Wilkerson, J. M., Shenk, J. E., Grey, J. A., Rosser, B. R. S., Noor, S. W.
- Quality of Web surveys; 2013; Revilla, M.
- Web Surveys and Official Statistics: Perspectives and Cases ; 2013; Martelli, B.
- The use of paradata to investigate non-response ; 2013; Vicente, P.