Web Survey Bibliography
In a currently running dissertation at the University of Innsbruck, the influence of different visual design effects on respondents in web surveys should be examined
The experience with one concrete experiment will be reported in this presentation: in three independent studies 6 different controls have been used for offering VAS (Visual Analogue Scales) to the respondents to enter their attitude, impression or opinion regarding concrete questions, namely a Java-slider, a slider implemented in Javascript, a simple text field, where a number can be entered indicating a certain position on the VAS, a dropdown box, where the appropriate position on the scale can be selected, radio buttons and simple buttons without labels.
A Visual Analogue Scale (VAS) is a measurement instrument that tries to measure a characteristic or attitude that is believed to range across a continuum of values and is verbally anchored on each end, e.g. <very good> vs. <very bad>.
The general composition of this experiment was as follows: for all three studies, for each respondent the questions are presented having a certain visual design (here: the different VAS as described above) selected by chance (the probabilities for each style can be settled). To run these experiments, a software solution was developed.
In this presentation, the outcomes of the experiments regarding completion time, dropout and general response behaviour are presented, also characteristics of certain technologies used in these experiments and emerging problems are discussed.
In einer im Moment laufenden Dissertation an der Universität Innsbruck werden die Einflüsse visueller Effekte auf Befragte in Online-Studien untersucht. Die Erfahrungen und Ergebnisse eines konkreten Experiments werden in diesem Vortrag präsentiert: In 3 unabhängigen Studien wurden den Befragten 6 Steuerelemente/Kontrollelemente als VAS (Visuelle Analogskala) vorgelegt, um seine Einstellungen, Eindrücke bzw. Meinungen einzustufen, nämlich ein Java-Schieberegler, ein in Javascript implementierter Schieberegler, ein einfaches Textfeld, wo eine Nummer eingegeben kann, die einer Position auf der Skala entspricht, eine Dropdown-Box, wo die entsprechende Position auf der Skala ausgewählt werden kann, Radio-Buttons und einfache Buttons ohne Beschriftung.
Eine Visuelle Analogskala ist ein Messinstrument, das versucht, eine Einstellung oder Charakteristik auf einem Kontinuum einzustufen und sie hat eine Beschriftung an jedem Ende der Skala, z.B. <sehr gut> bzw. <sehr schlecht>.
Das Experiment ist wie folgt aufgebaut: Für alle 3 Studien wird jedem Befragten per Zufall ein visuelles Design zugewiesen (hier: einer bestimmten visuellen Analogskala, wie oben beschrieben). Um die Experimente durchführen zu können, wurde eigens eine Software entwickelt.
In dieser Präsentation werden die Ergebnisse bezüglich Zeit, wie lange für das Ausfüllen benötigt wurde, Abbruchverhalten und allgemeinen Unterschieden im Befragten-Verhalten dargestellt. Auch wird auf besondere Eigenschaften und Probleme der einzelnen verwendeten Technologien eingegangen.
General online research (GOR) 2008 (abstract)
Web Survey Bibliography - Conference proceedings (240)
- Unintentional mobile respondents; 2012; Peterson, G.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference?; 2012; Mavletova, A. M., Couper, M. P.
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Is „chapterisation“ a viable alternative to traditional progress indicators ?; 2012; Spicer, R., Dowling, Z.
- An experimental investigation of the effects of noncontingent and contingent incentives in recruiting...; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E., Peugh, J., Charlebois, O., Murakami...
- The smart(phone) way to collect survey data; 2011; Stapleton, C.
- The next CAPI evolution - completing web surveys on cell-enabled iPads; 2011; Dayton, J., Driscoll, H.
- Self-administered mobile surveys; 2011; Bosnjak, M.
- Online survey research: Findings, Best practices, and future research; 2011
- Moving forward, building an ethics community (Panel statement); 2011; Kenneally, E. et al.
- In search of a new approach to measure newspaper audiences in Canada: The journey continues; 2011; Crassweller, A., Rogers, J., Graves, F., Gauthier, E., Charlebois, O.
- Effects of response format on requalification for recontact studies; 2011; Thomas, R. K.
- A meta-analysis of experiments manipulating progress indicators in Web surveys; 2011; Callegaro, M., Villar, A., Yang, Y.
- Blend, balance, and stabilize respondent sources; 2011; Eggers, M., Drake, E.
- Mode Effect or Question Wording? Measurement Error in Mixed Mode Surveys; 2011; de Leeuw, E. D., Hox, J., Scherpenzeel, A.
- Using a fillable PDF together with SAS ® for questionnaire data; 2010; Donald, E.
- There is an app for that! A review of smartphone apps for marketing research; 2010; Michelson, M.
- The state of online research in the U.S.; 2010; Miller, J.
- Function follows form: Effects of response format on self-reported individuals and household disability...; 2010; Falcone, A. E., Thomas, R. K.
- Address-based sampling. Merits, design & implementation, and review of field statistics; 2010; Fahimi, M.
- A framework for understanding and applying ethical principles in network and security research; 2010; Kenneally, E., Bailey, M., Maughan, D.
- Restructuring and innovations on the survey “capacity of collective tourist accommodation”...; 2010; Santoro, M. T., Staffieri, S.
- An Analyze of the Zero Price Effect on Online Business Performance - An Research Based on the Mobile...; 2010; Liu, Y., Yuan, P.
- Dealing with Nonresponse in Survey Sampling: an Item Response Modeling Approach; 2010; Matei, A.
- Web survey design and usability; 2010; Karakoyun, F., Kurt, A. A.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- Getting data for (business) statistics: What's new? What's next?; 2009; Snijkers, G.
- Response Mode and Bias Analysis in the IRS’ Individual Taxpayer Burden Survey; 2009; Brick, J. M., Contos, G.,Masken, K.,Nord, R.
- Survey Mode Effects in Two Military Surveys; 2009; Yang, M., Falcone, A. E., Milan, L. M.
- Web based macroseismic survey: fast information exchange and elaboration of seismic intensity effects...; 2009; De Rubeis, V., Sbarra P., Sorrentino, D., Tosi, P.
- The representativeness of the LISS panel ; 2009; Knoef, M., de Vos, K.
- Sample factors that influence data quality; 2008; Gailey, R., Teal, D., Haechrel, E.
- An online panel as a platform for multi-disciplinary research; 2008; Scherpenzeel, A.
- Visual Design Effects on on Respondents Behaviour in Web-Surveys. A Design Experiment; 2008; Greinöcker, A.
- Effects of Privacy Assurances on the Online Measurement of Psychological Constructs; 2008; Witzki, A., Kramer, J.
- Effects of AJAX Technology in Online Questionnaires; 2008; Lütters, H., Westphal, D., Heublein, F.
- How Web 2.0 Technologies Can Become a Valuable Part of Online Research; 2008; Jaron, R.
- Respondent Authenticity - A biometrical approach to authenticate panelists; 2008; Wachter, B., Bender, C.
- Visual Analogue Scales Versus Categorical Scales: Respondent Burden, Cognitive Depth, and Data Quality...; 2008; Funke, F.,Reips, U. -D.
- Not Mixed-Mode but Switch-Mode; 2008; Höglinger, M., Abraham, M., Arpagaus, J.
- The Impact of Cognitive and Computer Skills on Data Quality in Computer Assisted Self Administered Questionnaires...; 2008; Brecko, B. N., Vehovar, V.
- Optimal Contact Strategy in a Mail-and-Web Mixed Mode Survey; 2008; Holmberg, A., Lorenc, B., Werner, P.
- 10 Years of Meinungsplatz.de: Success in the Collection of Data for Targeted Audiences, Such as the...; 2008; Weyergraf, O.
- Self-selection in Online Access Panels: No “Little Difference” in the Recruiting Process...; 2008; Wirth, T.
- Selectivity or Usefulness of Online-Surveys? A Comparison with Data from a Local Population Survey; 2008; Kroll, S., Hüfken, V., Reuband, K.H.
- Mobile Market Research; 2008; Maxl, E.
- Flexible and High-Speed Market Research through Mobile Data Collection & Online Reporting Tool; 2008; Haag, J., Volkmer, H.P.
- Online vs. Offline in Mobile Surveys; 2008; Neubarth, W., Maier, U.
- Gender-of-Interviewer Effects in Video-Enhanced Web Surveys. Results from a Randomized Field-Experiment...; 2008; Fuchs, M.
- The Online Use of Randomized Response Measurements; 2008; Snijders, C., Weesie, J.