Web Survey Bibliography
Previous research has demonstrated that respondents recognize the formal and graphical properties of a questionnaire. Among other aspect, the shape, proximity and color of response boxes have been identified as relevant characteristics (Couper et al., 2004; Christian et al.; 2007; Smyth et al., 2006).
With respect to open-ended text questions it was demonstrated that the size and the design of an input field to an open-ended text questions have a significant effect on the amount of information reported by Web survey respondents (Smyth et al., 2007). Larger input boxes evoke more information, also a segmented box (with lines) yields more input than a simple box. Based on these findings it has been theorized that respondents interpret the size of the response field as auxiliary information when searching for an answer to a survey question and when formatting the response. Thus, in addition to the question wording the formal characteristics of the response box are also of importance for the amount of information provided by the respondents.
Thus, it has been recommended that the size of the response field should reflect the desired amount of information. If a longer elaboration on a particular topic is expected from respondents a small input fields is less appropriate. However, if the response field is too large it may restrain respondents from answering since the large input box is perceived as a signal that a lot of details and text is expected which might overstrain them (resulting in item nonresponse). Thus, the optimal size of an input box to an open-ended text question is a trade-off of item non-response and the amount of information provided by those respondents who are actually answering the question.
Web survey bibliography - Germany (361)
- Are well-selected panelists better respondents? Insights into the effect of a master screener on panel...; 2010; Irmer, C., Tress, F.
- Selection Bias in Web Surveys and the Use of Propensity Scores in Forecasting the Result of the 2009...; 2010; Musch, J., Ullrich, S., Diedenhofen, D.
- Self-administered mobile surveys: Usability and (non)participation; 2010; Scherrer, S., Bosnjak, M.
- Social desirability and self-reported health risk behaviors in web-based research: three longitudinal...; 2010; Crutzen, R., Goeritz, A.
- Security and Data Protection: Collection, Storage, Feedback in Internet Research; 2010; Thiele, O., Kaczmirek, L.
- Methoden der Online-Forschung; 2010; Welker, M., Wünsch, C.
- Online-Befragungen im Kontext von Lehrevaluationen – praktisch und unzuverlässig; 2010; Meinefeld, W.
- The Effects of Different Incentives on Data Quantity and Data Quality in Online Panels; 2010; Singh, R. K., Voggeser, B. J., Goeritz, A.
- Breakoff in Web Surveys of the German Longitudinal Election Study (GLES); 2010; Blumenstiel, J. E., Roßmann, J., Steinbrecher, M.
- The longitudinal effect of incentives on participation and data quality in online panels; 2010; Neumann, B. P., Goeritz, A.
- The denominator problem: Estimating MSM-specific incidence of sexually transmitted infections and prevalence...; 2009; Marcus, U., Schmidt, A. J., Kollan, C., Hamouda, O.
- Mobile surveys from a technological perspective; 2009; Pferdekämper, T., Batanic, B.
- The Effect of Phrasing Scale Items in Low-Brow or High-Brow Language on Responses; 2009; Blasius, J., Friedrichs, J.
- Continuous Measurement of Musically-Induced Emotion: A Web Experiment ; 2009; Egermann, H., Nagel, F., Altenmueller, E., Kopiez, R.
- Methodeneffekte von Web-Befragungen: Soziale Erwünschtheit vs. Soziale Entkontextualisierung; 2009; Taddicken, M.
- A Comparison of Different Survey Periods in Online Surveys of Persons with Eating Disorders and Their...; 2009; Wesemann, D., Grunwald, A., Grunwald, M.
- Are telephone Surveys a dying bread. How declining response rates can be explained and resolved; 2009; Degen, M., Obermüller, A., Schielicke, A.-M.
- Are people sharing their mobile phones? Selection probabilities in cellular telephone surveys; 2009; Fuchs, M., Busse, B.
- Accuracy of Estimates in Access Panel based Surveys; 2009; Enderle, T., Münnich, R., Bruch, C.
- Survey cooperation: response to initial and follow-up requests - Recent experiences from the recruitment...; 2009; Bartsch, S., Engel, U., Schnabel, C., Vehre, H.
- Using Mobile Phones to Administer a Working Memory Updating Task in a Survey - Cognitive Performance...; 2009; Schmiedek, F., Riediger, M., Lindenberger, U., Wagner, G. G.
- Accessibility of individuals for mobile phone surveys; 2009; Gabler, S., Häder, S.
- Mobile Phone Surveys in Germany – Response rates and response behaviour; 2009; Hader, S., Schneiderat, G.
- Interviewer voice characteristics and productivity in telephone surveys; 2009; Best, H., Bauer, G., Steinkopf, L.
- The impact of forgiving wording and question context on social desirability bias in sensitive surveys...; 2009; Naher, A.- F., Krumpal, I.
- Interactive feedback can improve accuracy of responses in web surveys; 2009; Conrad, F. G., Couper, M. P., Tourangeau, R., Galesic, M.
- The influence of the field time on data quality in list-based Web surveys; 2009; Goeritz, A., Stieger, S.
- Are Respondents Sharing their Mobile Phones? Preliminary results based on a mobile phone panel in Germany...; 2009; Fuchs, M.
- Dynamic feedback in open-ended questions: Experiments on the visual design language of Web surveys; 2009; Fuchs, M.
- Effects of monetary incentives on participation in a two-wave online survey; 2009; Bandilla, W., Haas, I.
- Representativeness of Mobile Internet Surveys - A comparative study of CAMI vs. CATI ; 2009; Maier, U., Neubarth, W., Grosser, A., Hombach, A.
- Using flash type questions – stroke of luck or curse for data quality?; 2009; Laufer, S., Klapproth, U., Noll, S.
- Generic or Project-Specific Mail? – The Influence of Invitations on Response Behaviour in the...; 2009; Schroll, S.
- An Online Study on Coping with Anxiety and Disease-Specific Internet Use in Panic Attack Sufferers; 2009; König, D., Hiebler, C., 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.
- 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.
- Verbal Vs Visual Response Options: Reconciling Meanings Conveyed by a Computer Aided Visual Rating Scale...; 2009; Garland, P., Cape, P.
- AGOF internet facts – increasing the response rate for onsite-surveys; 2009; Foerstel, H.
- 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.
- 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.
- Integrating Mobile Surveys into digital market research: Recommendations for Mobile Panel operation...; 2009; Friedrich-Freksa, M., de Groote, Z., Metzger, G.
- Social Web and Self-Disclosure = Participation vs. Privacy? Exploring How Users Manage this Dilemma...; 2009; Taddicken, M., Jers, C., Schenk, M.