Web Survey Bibliography
VAS generator (http://www.vasgenerator.net) is presented, a free Web-based tool for generating and customizing Visual Analogue Scales (VAS) for the use in online studies.
VAS is a graphic rating scale, a plain horizontal line that is verbally anchored on each end (e.g. <rarely> vs.<often». Respondents indicate their response (which
may be an attitude, an impression, a judgment, or an opinion etc.) by placing a mark on the line. Methodological advantages of this type of scale include high validity and that very small changes can be detected. VAS are of most value when detecting change with in individuals.
Paper-and-pencil VAS are quite different from computerized versions regarding construction and read out of data. Whereas the construction on paper is very simple (one just has to draw a line), the construction for online surveys can be awkward. Researchers who would like to ere ate a VAS for use on the Internet need to fiddle at least with HTML and JavaScript (or Flash or Java).
Regarding the read out of data the matter stands the very opposite. On paper the measurement of the given rating occurs manually, takes a lot of resources and is prone to errors. Online the read out is automated, fast and exact.
Thus, a tool that would ease the process of constructing computerized VAS is particularly interesting for online studies. VAS generator was built to answer this need.
VAS generator provides two modes for constructing VAS. In the basic mode only the main parameters (Iength and color of the VAS as well as the verbal anchors) can be adjusted to one’s needs. In advanced mode more specific parameters can be customized additionally (number of discrete values, type of marking and width of the VAS).
A preview panel shows the generated scale, where the read out of the submitted data can be tested. Subsequently VAS generator provides handy download of a package that provides everything for implementing the scale in one’s online survey. Data from a study will be reported in the presentation that evaluates the quality of data of scales built with VAS generator.
Der VAS Generator (http://www.vasgenerator.net) wird vorgestellt, ein kostenloses Web-basiertes Werkzeug, mit dem sich VAS individuell und oh ne grof1en Aufwand fUr den Einsatz in Onlinebefragungen erzeugen lassen.
Eine VAS ist eine graphische Ratingskala, eine schlichte horizontale Linie, deren Enden verbal verankert sind (z.B. mit "selten" und "ott" ). Befragte bringen die Starke der Auspragung einer Antwort (z.B. einer Einstellung, eines Eindrucks, eines Urteil oder einer Meinung) zum Ausdruek, indem sie auf der Linie eine Markierung setzen.Methodischer Vorteil dieses Skalentyps ist, abgesehen von hoher Validitat, dass bereits geringe Unterschiede gemessen werden konnen. VAS sind besonders geeignet bei der Messung von Veranderung.
Der VAS Generator wurde entwickelt, um diese LOcke zu fUllen.
Der VAS Generator bietet zwei Modi fUr das ErstelIen von VAS. Im einfachen Modus konnen lediglich die zentralen Parameter (Lange und Farbe der VAS, sowie die verbalen Anker) angepasst werden. Im erweiterten Modus konnen zusatzliche Parameter verandert werden (Anzahl der diskreten Werte, Art der Markierung und Breite der VAS). In einem Vorschaubereich wird die zuvor erstellte VAS angezeigt und das Auslesen der Obermittelten Daten kann OberprOtt werden. Danach konnen al le benotigten Dateien, sowie eine Anleitung fUr den Einbau der generierten VAS in eine Onlinebefragung herunter geladen werden.
Wahrend der Prasentation werden Ergebnisse einer Studie vorgestellt, aus der die Datenqualitat der mit dem VAS Generator erzeugten Skalen ersichtlich wird.
Web Survey Bibliography - 2007 (365)
- A Comparison of Student Feedback Obtained through Paper-Based and Web-Based Surveys of Faculty Teaching...; 2007; Ardalan, A.; Ardalan, R.; Coppage, S.; Crouch, W.
- Conducting the Survey; 2007; Ritter, L. A., Sue, V. M.
- Email Surveys in Educational Research: Ethical and Net-Cultural Concerns; 2007; Nguyen, C. H.
- The Consumer Panel Reinvented; 2007; Fielding, M.
- Data Preservation; 2007; Wyner, G. A.
- Questionnaire and Survey Design for Online Research; 2007; Wydra, D., Fisher, L., Strunk, K.
- Qualitative interviewing in Internet studies: Playing with the media, playing with the method; 2007; Kazmer, M., Xie, B.
- Video Web Surveys: Results from field-experimental comparisons with text-based Web surveys; 2007; Fuchs, M., Funke, F.
- The Impact of the Visible: The Design of Web Surveys; 2007; Tourangeau, R., Couper, M. P., Conrad, F. G.
- Web survey paradata: Understanding respondent’s behavior and evaluating survey questions; 2007; Heerwegh, D.
- How the shape and format of input fields affect answer; 2007; Couper, M. P., Tourangeau, R., Conrad, A.
- Sampling Bias: Face to face to Web; 2007; Bandilla, W., Blohm, M., Kaczmirek, L., Neubarth, W.
- Experiments on non- response in internet- based research; 2007; Reips, U. -D.
- Using Technology to Improve Data Quality; 2007; Cunningham, J., Pearson, C., Parkhurst, D.
- Mobile Phone Data Collection; 2007; Lavine, S.
- Survey Design for Visually Impaired and Blind People ; 2007; Kaczmirek, L., Wolff, H.-G.
- Visual Design, Order Effects, and Respondent Characteristics in a Self-Administered Survey; 2007; Stern, M. J., Dillman, D. A., Smyth, J. D.
- A study of the properties of the item count technique; 2007; Tsuchiya, T., Hirai, Y., Ono, S.
- A Study on Technical and Cultural Differences in Survey Methodology Between Japan and the United States...; 2007; Matsumoto, W.
- Introducing Web in The Norwegian Household Budget Survey; 2007; Are Holth, B.
- The Effectiveness and Quality of Web Questionnaires in a Business survey; 2007; Fosen, J., Haraldsen, G., Nyland, B.
- Error messages and editing in web questionnaires- the present situation in Sweden; 2007; Erikson, J.
- How Visual Composition of Web Pages Influences Survey Response; 2007; Mahon-Haft, T., Dillman, D. A.
- Using user feedback: Redesigning the "Survey of Industrial production"; 2007; Conrad, A.
- Online Factorial Surveys as an Approach for International Comparative Research; 2007; Berger, R., Burek, M.
- Pure Text vs. HTML in Email Invitations; 2007; Neubarth, W., Kaczmirek, L., Hellwig, O.
- The Usage of Magnitude Estimation Scales in Online Surveys - Results of a Joint Project; 2007; Althoff, S., Dumke, U.
- Effects of Offering Web Questionnaires as an Option in Enterprise Surveys: the Swedish Experience; 2007; Erikson, J., Furubjelke, E.
- Comparing Alternative Approaches for Displaying Edit; 2007; Mockovak, W.
- Factors Infl uencing Business Respondents’ Decision To Adopt; 2007; Dowling, Z., Stettler, K.
- Using the Web for Surveys of Medical Providers; 2007; Narayanan, V., Giambo, P., Fry, S., Crafts, J.
- Making Sense of Data via the Web; 2007; Anolik, I.
- A Web-Based Method of Collecting Longitudinal Data; 2007; Cycyota, C. S.
- Do Economic and Demographic Characteristics Differ between; 2007; Dickey, N., Riberas, Z.
- Nuts and Bolts of Web Surveys; 2007; Baker, R. P.
- Online Panels: Where Are We Today and Where Are We Headed in the Future?; 2007; Miller, J.
- Market Research in Virtual Worlds; 2007; Gordon, M. E.
- Measurement Equivalence of Paper-and-pencil and Online Organizational Surveys: a Large; 2007; de Beuckelaer, A., Lievens, F.
- Survey Errors in Mixed-mode Pilots That Incorporate Face-to-face, Telephone, Paper and Web; 2007; Janssen, B., Schouten, B.
- Improving Data Quality in Web Surveys with Visual Analogue Scales; 2007; Funke, F., Reips, U. -D.
- The Effects of Incentives in Web-based Research: a Review; 2007; Goeritz, A.
- Access Panels: a Blessing or a Serious Threat to Political Processes?; 2007; Oberski, D., Saris, W. E.
- Calibration and Propensity Score Weighting in Web Surveys; 2007; Fabrizi, E., Biffignandi, S.
- Panel Motivation: Why Panel Members Participate (or Not) in Surveys of an Online Panel; 2007; Marchand, M.
- Who Wants to Become an Online Panel Member? Effects of Respondent Characteristics on the; 2007; Vis, C.
- Using an RDD Survey to Recruit Online Panel Respondents; 2007; Couper, M. P., Dominitz, J.
- Evaluation of the Representativity of an Opt-in Online Access Panel; 2007; Loosveldt, G., Sonck, N.
- Nonresponse in Web Based Panel Surveys Applied to Academic Context; 2007; Sanchez Carrion, J. J., Segovia Guisado, J. M.
- Access Panels and Survey Nonresponse: Making It Better or Worse?; 2007; Stoop, I., Bethlehem, J., de Bie, S.
- Boosting Response Rates: Are There Optimal Times to Email Respondents?; 2007; Bennett-Harper, S., O'Brien, J., Levin, K., Davis, B., Shipp, S., Campbell, S., Sienkiewicz, R.