Web Survey Bibliography
Mobile surveys offer new avenues for collecting primary data by widening the researchers´ options to address coverage, sampling, and timing issues. However, a number of new methodological questions emerge, one of them being associated with the measurement possibilities and corresponding errors involved when conducting mobile surveys. Accordingly, we conducted an empirical study aimed at exploring the usability of different mobile measurement scales. Five prototypical mobile question types were analyzed with regard to their measurement and usability properties on (1) objective, unobtrusive data (e.g., non-response and drop-out rates, loading times, response latencies) and their (2) subjectively rated usability (e.g., liking, perceived effort, ease of access, amount of unintended inputs, perceived fluency of answering process).
The study consists of two survey waves: In the first wave conducted in August 2008, 150 participants answered a set of questions related to a salient topic (Olympic Games 2008) using their cell phones. Five different question types were randomly presented and meta-data about the answering process were collected. In the second wave, those who participated in the mobile survey (first wave) were invited to participate in a follow-up web based survey on their subjective experiences with the mobile survey. The five different question types presented in wave 1 had to be evaluated in terms of their corresponding (1) scrolling effort, (2) ease of access and ease of selecting response options, (3) the degree of unintended answers and (4) the perceived fluency of the mobile surveying process.
The results illustrate that the five question types used (single response list, multiple response list, close response list, text field single row and picture-question type) are (a) overall evaluated positively, (b) perceived differently with regard to scrolling effort, ease of access, unintended answers and fluency and (c) varying concerning respondents’ subjective perceptions on a question type’s usability and its objective usability properties (i.e., although the usability of a picture-question-type was evaluated very positive, item-non-responses are relatively high).
As a result, actionable recommendations on how to implement mobile surveys can be derived. Furthermore, avenues for future research focusing on the discrepancies between objective usability indicators versus subjective experiences will be sketched.
Conference homepage (abstract)/(full text)
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