Web Survey Bibliography
"Dynamic form" is the generic heading for dynamic text fields and dynamic lists, two innovative ways of reactive data collection in self-administered online surveys.
Dynamic forms are considered a
Open-ended questions do not pose limitations on the respondent in choosing an answer. Closed questions often are faster to answer with little mental effort, offer the benefit of ease to standardization, and data gathered from closed-ended questions need little time for coding and lend themselves to statistical analysis. At first glance, _dynamic text fields_ do not differ from ordinary HTML text fields. However, upon beginning with an entry, suggestions for the most probable word are offered in an area below the text field. With each new letter these suggestions are readapted. At http://labs.google.com/suggest Google shows an example for the use of this technique in a search engine.
By using _dynamic lists_, even questions with large numbers of response categories that can be brought into an hierarchical order, can be answered like closed-ended questions. At first, the respondent sees only a single table with very general categories. As soon as one of these categories is selected, more specific choices appear in a second table. Finding the appropriate answer is supported by gradually offering chunks of more detailed descriptions.
Both kinds of dynamic forms are suitable for the measurement of variables more possible values than feasible in tradition al closed-ended questions (e.g. subject of study or classification of occupations).
Dynamic forms provide new ground in online research and have not been examined yet, for example regarding their influence on the quality of data or the cognitive processes underlying the response behavior. We postulate that there is a change from recall to recognition when using dynamic forms instead of open-ended questions. Consequently, number and quality of responses should increase.
ln the experimental panel studies presented, dynamic text fields and lists were compared with radio buttons, drop-down menus and standard text fields. Thereby, the influence of implementing dynamic forms on motivation to participate in a study, response times and efforts needed to code data were examined.
"Dynamische Formulare" ist der Oberbegriff fOr dynamische Textfelder und dynamische Listen, zwei innovative Arten reaktiver Datenerhebung in selbstadministrierten Onlinebefragungen.
Dynamische Formulare werden als eine Web-2.0-Technik angesehen. Wir zeigen hier, dass diese Technik genutzt werden kann, um die Vorteile offener und geschlossener Fragetypen miteinander zu verbinden. Offenen Fragen beschranken die Antwortm6glichkeit des Befragten nicht durch Vorgaben; geschlossenen Fragen lassen sich haufig schneller und mit geringerer kognitiver Beanspruchung beantworten und bieten den Vorteil der einfachen Standardisierung. Zudem k6nnen Daten, die mit geschlossenen Fragen erhoben wurden, schnell fOr statistische Auswertungen vercodet werden.
_Dynamische Textfelder_ sehen auf den ersten Blick genauso aus wie herk6mmliche HTML-Textfelder. Sobaid jedoch mit der Texteingabe begonnen wird, erscheinen in einem Bereich unterhalb des Eingabefeldes Vorschlage, welches Wort gerade wahrscheinlich eingegeben wird. Mit jedem weiteren eingegebenen Zeichen passen sich die Vorschlage an. Auf http://labs.google.com/suggest findet sich ein Beispiel fOr die Anwendung dieser Technik in einer Suchmaschine. _Dynamische Listen_ erm6glichen die geschlossene Erhebung von Items mit einer groflen Zahl von Auspragungen, die sich hierarchisch ordnen lassen. Zunachst sieht der Nutzer nur eine Tabelle mit allgemeinen Kategorien. Sobaid auf der obersten Ebene eine Kategorie gewahlt wird, erscheinen in einer zweiten Tabelle speziellere Auswahlm6glichkeiten. Das Finden der zutreffenden Antwort wird durch das stufenweise Darbieten von Chunks mit detaillierteren Informationen unterstutzt.
Dynamische Formulare sind wissenschaftliches Neuland. Bisher wurde nicht erforscht, ob ihr Einsatz einen Einfluss auf die DatengUte oder die kognitiven Prozesse hat, die dem Antwortverhalten zugrunde liegen. Wir postulieren, dass auf kognitiver Ebene ein Wechsel von Recall zu Recognition stattfindet, wenn dynamische Formulare anstelle von offenen Fragen genutzt werden.
ln den vorgestellten experimentellen Panel-Studien wurden dynamische TextfeIder und Listen mit Radiobuttons, Drop-down-Mens und herk6mmlichen Textfeldern verglichen. Dadurch konnte der Einfluss dynamischer Formulare auf die Teilnahmemotivation, die Datenqualitat, die Responsezeit und den Kodieraufwand analysiert werden .
Web survey bibliography - 2007 (157)
- The design of electronic questionnaires: insights from the practice Afonso; 2007; Afonso, P.
- Using Multiple Modes to Collect Data in Surveys; 2007; Lynn, P.
- Intent to stay of nursing faculty in the southern United States; 2007; Garbee, D. D.
- Flexible online mixed methods design (FOMM): Philosophical and practical considerations; 2007; Lobe, B.
- Teaching and learning mixed methods research online; 2007; Ivankova, N., Verhoeven, F.
- Intention to Participate in Web Surveys: An Extended TPB Model; 2007; Fang, J., Shao, P., Wan, J.
- Interactive Features of Web Surveys; 2007; Conrad, F. G.
- The Online Measurement of Ego Centered Online Social Networks; 2007; Matzat, U., Snijders, C.
- Systematic bias between internet and mail surveys: Implication for scaling of conjoint questions; 2007; Huttin, C. C., Fadden, D. L., Winter, J.
- When epidemiology meets the internet: Web-based surveys in the millennium cohort study ; 2007; Smith, B., Smith, T. C., Gray, G. C., Ryan, M. A. K.
- Guidelines for Designing Questionnaires for Administration in Different Modes; 2007; Martin, E., Hunter, J. E., DeMaio, T., Hill, Jo., Reiser, C., Gerber, E., Styles, K., Dillman, D. A.
- A preliminary study of electronic surveys as a means to enhance management accounting research; 2007; Al-Omiri, M.
- An Approach to Compare Online Survey Generating Tools; 2007; Zhang, J., Zhao, N.
- Surfable Surveys: Using Web-Based Technology to Reach Newsroom Respondents ; 2007; Adams, T., Cleary, J.
- Online Data Collection in Academic Research: Advantages and Limitations; 2007; Lefever, S., Dal, M., Matthiasdottir, A.
- 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.
- 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.
- A Study on Technical and Cultural Differences in Survey Methodology Between Japan and the United States...; 2007; Matsumoto, W.
- Effects of Offering Web Questionnaires as an Option in Enterprise Surveys: the Swedish Experience; 2007; Erikson, J., Furubjelke, E.
- Using the Web for Surveys of Medical Providers; 2007; Narayanan, V., Giambo, P., Fry, S., Crafts, J.
- Calibration and Propensity Score Weighting in Web Surveys; 2007; Fabrizi, E., Biffignandi, 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.
- Beyond Demographics: Are ‘Webographic’ Questions Useful for Reducing the Selection Bias...; 2007; Schonlau, M., van Soest, A., Kapteyn, A.
- Maximising respondent engagement: The use of rich media; 2007; Reid, J., Morden, M., Perez Echeverria, A.
- Truth in measurement: Comparing Web Based interviewing Techniques; 2007; Couper, M. P., Terhanian, G., Bremer, J., Thomas, R. K.
- How Demographic Characteristics Affect Mode Preference in a Postal/Web Mixed-Mode Survey of Australian...; 2007; Diment, K., Garrett-Jones, S.
- Response rate and completeness of questionnaires: A randomized study of internet versus Paper-and-Pencil...; 2007; Holm- Christensen, K., Hjollund, H. N., Basnov, M., Kongsved, S. M.
- Following Up Nonrespondents to an Online Weight Management Intervention: Randomized Trial Comparing...; 2007; Couper, M. P., Peytchev, A., Strecher, V., Rothert, K., Anderson, K. J.
- First Experiences with Internet Surveying in the German Socio-Economic Panel; 2007; Wagner, G. G., Schupp, J., Schraepler, J.-P., Siegel, N.
- Compare and contrast - Study looks at online vs. offline multicultural research; 2007; Farrar, T., Schwartz, N., Mayor, N., Anthony, D., Faas, T.
- Best practices for online qualitative research; 2007; Stevens, B.
- Mixing Web and Mail Methods in a Survey of Physicians; 2007; Beebe, T. J., Locke, G. R., Davern, M. E., Anderson, K. J., Barnes, S. A.
- Development and Analysis of Joint Internet-Telephone Hunter Surveys; 2007; Lukacs, P. M.
- Reducing Nonresponse by SMS Reminders in Mail Surveys; 2007; Virtanen, V., Sirkiä, T., Jokiranta, V. Sirkia, T.
- The Reporting of Nonresponse Analyses in Survey Research; 2007; Werner, S., Praxedes, M., de Rouvray, C., Kim, H. G.
- Using Text Messages in U.S. Mobile Phone Surveys ; 2007; Steeh, C. G., Buskirk, T. D., Callegaro, M.
- Testing for the survey mode effect on contingent valuation data quality: A case study of web based versus...; 2007; Marta-Pedroso, C., Freitas, H., Domingos, T.
- Dynamic Forms: Online Surveys 2.0 ; 2007; Funke, F., Reips, U.-D.
- Do Tailored Messages of Encouragement Reduce Web Survey Break-offs?; 2007; Sakshaug, J. W., Crawford, S. D., Inkelas, K. K.
- Compensating for low topic interest and long surveys: A field experiment on nonresponse in Web surveys...; 2007; Marcus, B., Bosnjak, M., Lindner, S., Pilischenko, S., Schuetz, A.