Web Survey Bibliography
Modern software tools for web surveys increasingly enable fast and friendly implementation of web questionnaires and overall management of the survey process. However, there exists a general tradeoff between easiness of use and powerfulness/capability. Feature-rich solutions may require a high amount of learning and/or even some programming skills, while user-friendly and intuitive applications may offer too few features. In our study, we empirically addressed these two contradicting characteristics of web survey software tools.
We analyzed the largest online list of web surveys software tools – the WebSM database (www.websm.org). The database is continuously updated and includes more than 300 web survey tools.
Initially, we analyzed all database entries according to pricing, complexity, ownership, code availability, language, location and hosting. This provides a general picture about the software that is currently available on the market.
Next, we selected a subsample of 30 software tools from typical groups of tools and studied in more details their features and user-friendliness:
- We repeated a study from 2006, which evaluated and compared the availability of basic and advanced features of web survey software tools.
- Observations and corresponding statistical analyses of the number of clicks needed to create two standardized questionnaires (one simple, one with conditions) was performed.
- The effectiveness and intuitiveness of user interfaces were systematically rated by experts.
- The evaluation was also performed by the end users, who applied certain tools and created a predefined web questionnaire.
Relations between different components of evaluation and relations between different evaluation approaches were analyzed as well. This enables an empirically evaluation of the tradeoff between the two characteristics: user-friendliness and powerfulness.
Finally, we provide some guidance in establishing criteria for selection of the software. This can help users in choosing the optimal software solutions, which fulfill their needs for functionality, usability and cost-effectiveness.
Conference homepage (abstract)
Web survey bibliography - General Online Research Conference (GOR) 2009 (54)
- Conducting Mobile Surveys: A Hands-on Introduction to an Innovative Research Mode; 2009; Pferdekämper, T., Melcher, T.
- Empirical Evaluation of Web Survey Software Tools: Powerful or Friendly?; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K., Horvat, T., Debevc, M.
- Qualitative Research via Internet: Asynchronous Online Discussions and the Use of WebCT; 2009; Giatsi Clausen, M., Nicol, M., Gill, J.
- Representativeness of Mobile Internet Surveys - A comparative study of CAMI vs. CATI ; 2009; Maier, U., Neubarth, W., Grosser, A., Hombach, A.
- The use of online data-collection in financial services market measurement research : the FRS experience...; 2009; Cooke, M., Watkins, N.
- Using flash type questions – stroke of luck or curse for data quality?; 2009; Laufer, S., Klapproth, U., Noll, S.
- Pause Mechanism in Complex Online Surveys; 2009; Milewski, J.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Generic or Project-Specific Mail? – The Influence of Invitations on Response Behaviour in the...; 2009; Schroll, S.
- Relevance Of Health-Related Online-Information In Offline- And Online-Samples; 2009; Stetina, B. U., McElheney, J., Lehenbauer, M., Hinterberger, E., Pintzinger, N., Kryspin-Exner, I.
- Data Collection online: Can do, must (not) do, Should do; 2009; Diesner, J., Gadeib, A., Lüttschwager, F., Sassinot-Uny, L.
- Three Different Designs of Type Ranking‐Questions; 2009; Sackl, A.
- Usability of Mobile Surveys; 2009; Tarkus, A.
- Gay and Lesbian People: The Use of Online Communication Services; 2009; Lehenbauer, M., Stetina, B. U., Kryspin-Exner, I.
- An Online Study on Coping with Anxiety and Disease-Specific Internet Use in Panic Attack Sufferers; 2009; König, D., Hiebler, C., Kryspin-Exner, I.
- Distortion of demographics through technically induced dropout in restricted online surveys; 2009; Voracek, M., Stieger, S., Goeritz, A.
- An Internet-based Study on Coping with Illness and Attitudes towards Online Health Care in Cancer Patients...; 2009; Setz, J., König, D., Kryspin-Exner, I.
- WebEXEC: A Short Self-Report Measure of Executive Function Suitable for Administration via the Internet...; 2009; Buchanan, T., Heffernan, T. M., Parrott, A. C., Ling, J., Rodgers, J., Scholey, A. B.
- Let's go formative: Continuous student ratings with Web 2.0 application Twitter; 2009; Burger, C., Stieger, S.
- Don't know and no opinion responses in Web surveys; 2009; Mechling, J., Baker, R. P., Couper, M. P.
- Mixed Methods in Online Research; Conceptualisation and Future Research Agenda; 2009; Koller, M., Sinitsa, E.
- Market Research Online and Offline - Differences in output and processing of Qualitative Online and...; 2009; Knorr, H., Krischke-Ramaswamy, M.
- Informal Learning in Virtual Communities. Individual Practice between Information Retrieval, Observation...; 2009; Kahnwald, N.
- Self-Efficacy Of Online Health Seekers; 2009; Stetina, B. U., Schramel, C., Lehenbauer, M., Schawill, W., Kryspin-Exner, I.
- Volumetric Forecast based on Online Access Panels; 2009; Rodenhausen, T., Drewes, F.
- How representative are sentiments expressed in social media for the marketing target audience? A comparison...; 2009; Jarchow, C., Thomas, J.
- SNB - Social Network Barometer; 2009; Drosdow, M., Geißler, H.
- Payments via Paypal as an Incentive in Online Panels; 2009; Goeritz, A., Wolff, H.-G., Goldstein, D. G.
- Advertising Effects of Online Video Ads; 2009; Wolf, M., Schönfeldt, J.
- Online election forecasts; 2009; Faas, T., Geißler, H.
- Propensity Score Adjustment for Web Survey of Voting Behavior: A Case in Japan; 2009; Kobayashi, T.
- Why Do I Use the Social Web?” Exploring the Motives of Active and Passive Users via Focus Groups...; 2009; Jers, C., Taddicken, M., Schenk, M.
- Diffusion of Mobile Services Adoption in Taiwan; 2009; Doong, H.-S., Wang, H.-C.
- 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.
- Visual Heuristics and Answer Formats in Rating Scales; 2009; Toepoel, V. Dillman, D. A.