Web Survey Bibliography
Mobile surveys offer unique opportunities to enhance digital research methods. Technical requirements are generally given (e.g. multimedia functions and accessibility of modern devices), and only the overall high mobile Internet usage costs have caused a delay in widespread mobile Internet usage. Despite, it is crucial that the participants themselves accept the mode and are motivated to participate in mobile surveys.
We conducted an empirical study to examine whether (a) members of a recently recruited mobile panel effectively take part in mobile surveys and (b) to gather structured information on their usage experience. The study consists of two survey waves: In the first wave conducted in August 2008, 979 panel members were invited via a SMS/Wap-Push message to participate in a mobile survey. 206 participants (21%) answered a set of questions related to an actual topic (Olympic Games 2008 in Beijing). In the second wave in August 2008, the 979 panel members were invited again to participate in a follow-up Web-based survey to figure out their subjective experiences with the mobile survey and if they did not take part, examine their reasons and motives.
The results underline the potential of mobile surveys in a panel environment: (A) Participation is evaluated positively and future participation in mobile surveys is anticipated. (B) Significant faster response rate for mobile surveys compared to online surveys were observed. (C) No demographic differences (e.g. sex, age, education) for mobile survey participants have been found. (D) Participants are more experienced operating their mobile device and the mobile internet than non-participants. (E) The self reported main barriers of mobile surveys are technical problems (e.g. SMS/Wap-push link- functionality, connectivity, technical capabilities of devices) and perceived costs for taking part in such a study.
Based on the results, specific recommendations for operating mobile panels in the future can be derived. Future research should focus on both mobile Internet survey modes, hence personal panel-based surveys and ad-hoc mobile Internet surveys in order to investigate differences between both approaches.
Conference homepage (abstract)
Web survey bibliography (4086)
- Verbal Vs Visual Response Options: Reconciling Meanings Conveyed by a Computer Aided Visual Rating Scale...; 2009; Garland, P., Cape, P.
- Increasing response rates in list based samples; 2009; Keusch, F., Kurz, H., Penzkofer, P.
- Resolving the Privacy Paradox? - How Privacy Concerns, Strategic Self-presentation, and Norms Influence...; 2009; Utz, S.
- AGOF internet facts – increasing the response rate for onsite-surveys; 2009; Foerstel, H.
- Implementation of a reaction time tool for brand measurement at Swisscom; 2009; Paar, I., Urbahn, J.
- It’s all about customer satisfaction - Advantages and limitations of online surveys in applied...; 2009; Einhorn, M., Klein-Reesink, T., Löffler, M.
- Potential Of The Mobile Internet - What You Ask Is What You Get; 2009; Neubarth, W., Maier, U., Geißlitz, A.
- Measuring Network Quality: Strengths and Weaknesses of different Evaluation Methods (SMS, w@p and web...; 2009; Wallisch, A., Schwab, H.
- Challenges in Recruiting Special Groups in Internet Panel Research; 2009; Marchand, M., Vis, C.
- Panel Conditioning in Web Surveys: A Comparison between Trained and Fresh Respondents; 2009; Toepoel, V., Das, M., van Soest, A.
- Using Tag Clouds to Analyse and Visualise Results of Open Ended Questions; 2009; Melles, T., Jaron, R.
- Measuring Perceived Virtual Social Support in Online Self-Help Groups; 2009; Preiß, H.
- Personalization as Strategy to Increase Response Rates; 2009; Althoff, S.
- Understanding the willingness to participate in mobile surveys: Exploring the role of hedonic, affective...; 2009; Bosnjak, M., Metzger, G.
- Integrating Mobile Surveys into digital market research: Recommendations for Mobile Panel operation...; 2009; Friedrich-Freksa, M., de Groote, Z., Metzger, G.
- Measurement options, measurement error, and usability in mobile surveys; 2009; Pferdekämper, T., Bosnjak, M., Metzger, G.
- The new IT environment for the Italian consumer price survey; 2009; Giannini, R., Polidoro, F., Sgamba, A. M., Silipo, M., Spagnuolo, F., Virgillito, A.
- Comparative analysis among open source and commercial software for the development of electronic questionnaires...; 2009; Capparucci, L., Degortes, M., Landriscina, M., Murgia, M.
- The automatic coding of Economic Activities descriptions for WEB users; 2009; Colasanti, C., Macchia, S., Vicari, P.
- Large Scale Digital Data Collection in Developing Countries: Is The Time Right? ; 2009; Hattas, M., Cronje, M., Berard, O.
- Privacy concerns and electronic data collection: group and individual response to social change in communications...; 2009; Odella, F.
- The relative coverage bias caused by the mobile-only population across Europe; 2009; Fuchs, M.
- Implementation of web-based data-collection channel eSTAT for economic entities; 2009; Sillajoe, T.
- Acceptability of the use of new technologies by interviewees in surveys; 2009; Roux, S., Marchal, P., Armoogum, J.
- Optimal Contact Strategy in a Mail and Web Mixed Mode Survey ; 2009; Holmberg, A., Lorenc, B., Werner, P.
- Optimising survey costs in mixed mode environment; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K., Belak, E.
- Integrated statistical systems: an approach to preserve coherence between a set of surveys based on...; 2009; Ballin, M., De Francisci, S., Scanu, M., Tininini, L., Vicard, P.
- A guide to conducting online research; 2009; Gaiser, T. J., Schreiner, A. E.
- Visual Heuristics and Answer Formats in Rating Scales; 2009; Toepoel, V. Dillman, D. A.
- A literature review on constructing answer formats; 2009; Menold, N., Kaczmirek, L., Hoffmeyer-Zlotnik, J.
- Social Web and Self-Disclosure = Participation vs. Privacy? Exploring How Users Manage this Dilemma...; 2009; Taddicken, M., Jers, C., Schenk, M.
- Personality on Social Network Sites: An Application of the Five Factor Model; 2009; Wehrli, S.
- Money for Surveys: What about Data-Quality?; 2009; A.Krosnick, J. A.
- Can a moral reasoning exercise improve response quality to surveys of healthcare priorities?; 2009; Johri, M.
- Use of Online Interviews in the Underlying Discourse Unveiling Method (UDUM); 2009; Nicolaci-da-Costa, A. M., Romao-Dias, D., Di Luccio, F.
- Arts-humanities.net – from community website to (social) knowledgebase?; 2009; Reimer, T.
- Mashups to Meshups and the Web of Data; 2009; Glaser, H.
- Practical Web 2.0 - Related Technologies and Building Mashups; 2009; Borkum, M., Bhagat, J.
- International Handbook of Internet Research; 2009; Hunsinger, J., Klastrup, L., Allen, M.
- Converting to Blaise 4.8 for CATI and CAWI Surveys; 2009; Hart, L., Reid, S.
- Introduction to Webometrics: Quantitative Web Research for the Social Sciences; 2009; Thelwall, M.
- Online Research Essentials: Designing and Implementing Research Studies; 2009; Russell, B., Purcell, J.
- Survey Response Rates and Survey Administration in Counseling and Clinical Psychology A Meta-Analysis...; 2009; Van Horn, P. S., Green, K. E., Martinussen, M.
- Assessing Medical Information Needs Via an Internet-Based Survey; 2009; Fung, S. M., Merriman, L., Cawley, M.
- Estimating the robustness of questionnaire results: lessons from a mixed-mode survey of expectations...; 2009; Bonsall, P., Shires, J.
- Creating Online Surveys: Some Wisdom from the Trenches Tutorial ; 2009; Singh, A., Taneja, A., Mangalaraj, G.
- Attrition Bias in a US Internet Survey of Alcohol Use Among College Freshmen ; 2009; McCoy, T. P., Ip, E. H., Blocker, J. N., Champion, H., Rhodes, S. D., Wagoner, K. G., Mitra, A., Wolfson...
- Short Message Service (SMS) Technology in Alcohol Research-A Feasibility Study; 2009; Kuntsche, E., Robert, B.
- Online Survey Tools: Ethical and Methodological Concerns of Human Research Ethics Committees; 2009; Buchanan, E. A., Hvizdak, E. E.
- Employment Tribunal web survey: Results of an online survey 19 March - 2 April 2009; 2009; Anonymous