Web Survey Bibliography
Relevance and Research Question
Since online-based research methods, especially online surveys, have established as a significant method in market research and social research, the use of mobile phones as research instruments is more and more examined. Mobile phones deliver several advantages for researchers, they are widely spread and accepted in society and they offer the opportunity to screen the context of data collection in the field (context-sensitivity). The current study analyses the usability of self-administrated mobile web surveys in comparison to a classic web survey, focusing on participation behavior, sampling, response rate, as well as dropout rates of such a study-design.
Methods & Data
The comparative survey was realized during a student-festival at a German university in summer 2011. During the five days of the event, a short-questionnaire concerning visitors-satisfaction was offered to the visitors via mobile-web survey as well as classic web-survey, the participants could choose which version of the survey they wanted to answer. Overall n=108 (n=60 mobile-web survey; n=48 classic web survey) respondents (average age: 23 years) were recruited using personal promotion as well as a flyer campaign.
The comparison of the mobile web survey and the classic web survey showed several differences. Even though the respondents of the mobile survey rate the survey as innovative and enjoyable, they reported technical difficulties in answering the mobile survey. The longer average processing time of the mobile survey (412 seconds) in comparison to the classic web-survey (233 seconds) indicates the same result. Consequently the respondents describe the mobile web survey as more annoying and complicated than the classic web survey. Nevertheless the drop-out rate is equal in both surveys.
The findings indicate that mobile web surveys are a promising (new) method in market and social research and should be further investigated in future. Due to the increasing number of smartphones and mobile-only households mobile based research methods will become more and more important especially to realize representative studies. To develop valid and reliable mobile research methods and to increase the usage enjoyment as well as reduce technical difficulties, further investigations of this innovative method are needed.
Conference Homepage (abstract) / (full text)
Web Survey Bibliography - Survey methodology (2746)
- Adaptive survey designs to minimize survey mode effects. A case study on the Dutch Labour Force Survey...; 2013; Calinescu, M., Schouten, B.
- Measurement error calibration in mixed-mode sample surveys; 2013; Buelens, B., van der Brakel, J.
- The challenge of a mixed-mode design survey and new IT tools application: the case of the Italian Structure...; 2013; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- MOTUS: Modular online Time-Use Survey; 2013; Joeri, M., Ignace, G., van Tienoven, T. P., Djiwo, W.
- The Design of the Online Questionnaire of the Italian Population Census ; 2013; Tininini, L., Virgillito, A.
- Experiments in Obtaining Data Linkage Consent in Web Surveys ; 2013; Sakshaug, J. W., Kreuter, F.
- The behaviour of respondents while filling in a web questionnaire: the case of the Italian business...; 2013; Masselli, M., Nuccitelli, A.
- A web-based Census of services: an ISTAT evolutionary study ; 2013; Cesaro, A., Palazzi, B., Paterniti, M., Ranaldi, P.
- A web based management system for addressing census complexity: the Italian experience; 2013; Bruno, M., Giacummo, M., Silipo, M., Vaste, G.
- Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical...; 2013; Giesen, D., Bavdaz, M., Loefgren, T., Raymond-Blaess, V.
- Should the third reminder be sent? The role of survey response timing on web survey results; 2013; Rao, K., Pennington, J.
- Factors affecting the decision to participate in the internet option for the 2010 Census of Korea ; 2013; Lee, E., Kim, S.
- Internet as a new source of information for the production of official statistics. Experiences of Statistics...; 2013; Heerschap, N.
- Web panel surveys – can they be designed and used in a scientifically sound way?; 2013; Svensson , J.
- A standard with quality indicators for web panel surveys: a Swedish example; 2013; Nyfjaell, M.
- Web Panels for Official Statistics? ; 2013; Bethlehem, J., Cobben, F.
- Assessing Nonresponse Bias in the Green Technologies and Practices Survey; 2013; Meekins, B., Sverchkov, M., Stang, S.
- Using an Item Response Theory Approach to Measure Survey Mode of Administration Effects: Analysis of...; 2013; Mariano, L. T., Elliott, M. N.
- The Role of Mode Preference Questions in Predicting Mode-Specific Response Propensities; 2013; Lynn, P., Kaminska, O.
- How Does Online Survey Mode Affect Answers to Customer Feedback Loyalty Surveys?; 2013; Gupta, A., Lee, J.
- Using Internet Panel Surveys for Behavioral Health Surveillance; 2013; Gotway Crawford, C., Okoro, C. A., Dhingra, S., Akcin, H., Zhao, G., Ford, D., Pierannunzi, C.
- Model-Based Mode of Data Collection Switching from Internet to Mail in the American Community Survey; 2013; Chesnut, J.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- Proceedings of The 3rd International Conference: Quantitative And Qualitative Methodologies In The Economic...; 2013; Frangos, C. (ed.)
- How Mobile Stacks Up to Traditional Online: A Comparison of Studies; 2013; Knowles, R.
- Online Survey on Twitter: A Urological Experience; 2013; Dal Moro, F.
- Telephone Versus Internet Administration of Self-Report Measures of Social Anxiety, Depressive Symptoms...; 2013; Hedman, E., Ljótsson, B., Blom, K., El Alaoui, S., Kraepelien, M., Rück, C., Andersson, G., Svanborg...
- Development of a Questionnaire and Cross-Sectional Survey of Patient eHealth Readiness and eHealth Inequalities...; 2013; Jones, R.
- Assessment of Diet and Physical Activity of Brazilian Schoolchildren: Usability Testing of a Web-Based...; 2013; da Costa, F. F., Pacheco Schmoelz, C., Fernandes Davies, V., Di Pietro, P. F., Kupek, E., de Assis,...
- Why respondents suffer if you're not mobile-ready; 2013; Knapton, K.
- 4 ways mobile research challenges insights pros; 2013; Rajan, B.
- Thoughts on retrieving information from open-ended questions; 2013; Luyens, S.
- Social media data demands a marriage of high-tech and high-touch; 2013; Waldheim, C., Stevens, N.
- Respondent Rewards: Money for Nothing?; 2013; Martin, P.
- How to make your questionnaire mobile-ready; 2013; Cape, P. J.
- Did I Do That? How Trap Questions Can Hurt Data Quality; 2013; Phillips, K.
- Leveraging mobile and online qualitative to get inside shoppers’ heads; 2013; Bryson, J., Ritzo, J.
- A report on the Confirmit Market Research Software Survey 2013; 2013; Macer, T., Wilson, S.
- Thoughts on using the new online qualitative tools; 2013; Freund, N. M.
- Web Panel Representativeness; 2013; Bianchi, A., Biffignandi, S.
- Interactive applets on the Web for methods and statistics; 2013; Reips, U. -D., McClelland, G.
- Economic valuation in Web surveys; A review of the state of the art and best practices; 2013; Menegaki, A. N., Tsagarakis, K. P.
- Can creative web survey questionnaire design improve the response quality?; 2013; Angelovska, J., Mavrikiou, P. M.
- Utilization of High-Technology to Collect Health Risk Assessment Information from Medicare Members:...; 2013; Freedman, D., VanderHorst, N.
- Respondent Behavior Logging: An Opportunity for Online Survey Design; 2013; Sjoestroem, J., Rahman, M. H., Rafiq, A., Lochan, R., Agerfalk, P. J.
- Beyond Satisfaction Questionnaires: “Hacking” the Online Survey; 2013; Evans, A. L.
- Methodological Issues in the Design of Online Surveys for Measuring Unethical Work Behavior: Recommendations...; 2013; Wouters, K., Maesschalck, J., Peeters, C. F. W., Roosen, M.
- Use of mobile devices to answer online surveys: implications for research; 2013; Cunningham, J. A., Neighbors, C., Bertholet, N., Hendershot, C. S.
- Enhancing student engagement in student experience surveys: a mixed methods study; 2013; Webber, M., Lynch, S., Oluku, J.
- Where Am I? A Meta-Analysis of Experiments on the Effects of Progress Indicators for Web Surveys; 2013; Villar, A., Callegaro, M., Yang, Y.