Web Survey Bibliography
The apparently easy task of constructing answer formats poses many design decisions with consequences for the reliability and validity of requests. In accordance with Parduccis theoretical framework, the range of scale points and their frequency build a frame for the respondents’ understanding of what was asked and how the answer should be edited. The consequent research shows that answer scales influence respondents’ understanding regarding 1) the meaning of the concept to be measured and 2) their assumptions about the distribution of the associated behaviour or opinion in the population. Consequently, the task of designing answer scales is a complex one. While designing answer scales one should consider the properties of dimension to be measured, the appropriate scale characteristics, the modus of measurement and the characteristics of respondents. This presentation gives an overview of the literature addressing different questions related to the design of answer scales. Is an open ended or a closed answer format appropriate? What is the optimal number of scale points? What about the response order effect? How should labelling be applied? Are fully labelled scales preferable to numbered scales or end-labelled scales? Should the answer scale be polar or bipolar? Should a scale have a middle point and “no opinion” option? While regarding some of these aspects, e.g. numbers of scale points or order effects similar findings and design suggestions are available in the literature (e.g. maxim of reliability in the case of 5-7 scale points), other aspects are controversial. For example prefer some researchers an open ended question format while asking about the frequencies of certain behaviours since the answers are more exact and the context effect of answer scales is absent here. Others discuss the psychological problems associated with an open answer format, e.g. that the respondents round their answers off and build their own answer categories. Considering the presented review of literature the consequences for the design of answer scales and open research questions are summarized.
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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