Web Survey Bibliography
Research in the field of mobile surveys is still in an early stage. While Web-Surveys amount to about 21% of all surveys in Germany, mobile surveys are not listed separately in the statistics yet. By contrast about 73% of the general population use mobile phones and only about 60% have internet access. Therefore the potential of mobile interviews is very high, as soon as this survey technique is applicable for the general population.
Similar to Web-Survey Research a few years ago, there is no standard for mobile research to date. Until today mobile phones served to send pre-notices for web-surveys (Bosnjak, et al.; in press), but were also used for online questionnaires directly via mobile internet. Displaying questionnaires within a Java application run offline on mobile phones, or conducting entire surveys by sending many SMS-messages to and fro are current applications of mobile research, too. As in stationary online research, it is expected that some survey methods will prevail while other methods vanish, just like sending word questionnaires by e-mail has become very uncommon.
This paper presents results of a qualitative comparative study processed with about 40 experts of the mobile telecommunication market. Including a preceding test of both methods, the study compares the mobile survey variants online and offline. This leads to findings on the following topics: Usability, estimation of public acceptance, useful applications for both methods as well as future expectations. The study is endorsed by data from an online case study. The findings of the presented paper will soon acquire very high relevance for both commercial and academic research.
Die Forschung zu mobilen Online-Befragungen befindet sich derzeit noch in einem frühen Stadium. Im Vergleich zu Web-Befragungen, die aktuell ca. 21% der Befragungen ausmachen, werden Mobile-Studien aktuell noch nicht separat in der Statistik aufgeführt. Die Verbreitung von Mobiltelefonen übertrifft jedoch mit einer Abdeckungsrate von ca. 73% deutlich die der Online-Zugänge (ca. 60%). Folglich liegt das Potential für mobile Online-Befragungen sehr hoch, wird diese Befragungstechnik für die Allgemeinbevölkerung einsetzbar.
Ähnlich wie noch vor einigen Jahren in der Online-Forschung, bestehen derzeit keine Standards für mobile Befragungen. Mobile Endgeräte wurden im Bereich der Umfrageforschung bisher dazu verwendet, SMS Vorankündigungen für Online-Befragungen zu versenden (Bosnjak, et al.; in Druck), direkt online im mobilen Internet zu befragen, Fragebögen offline zur Beantwortung anzuzeigen (Anwendung in Java) und komplette Befragungen über den Versand vieler einzelner SMS durchzuführen. Es ist zu erwarten, dass sich einige Befragungsmethoden durchsetzen, während andere wieder verschwinden, wie dies z.B. für E-Mail-Befragungen im stationären Online-Bereich der Fall war.
Der hier vorgestellte Beitrag präsentiert die Ergebnisse einer qualitativen Vergleichsstudie, die mit ca. 40 Experten des Mobilkommunikationsmarktes durchgeführt wurde. Die Studie kontrastiert die beiden Mobil-Erhebungsvarianten online und offline gegeneinander, nachdem die Befragten jeweils einen Nutzungstest abgeschlossen haben. Daraus ergeben sich Erkenntnisse zu den folgenden Themenbereichen: Usability, Akzeptanzeinschätzung, sinnvolle Anwendungsszenarien für beide Ansätze sowie zu Zukunftserwartungen. Die Ergebnisse dieser Studie werden durch Kennzahlen aus einer online durchgeführten Fallstudie ergänzt. Die Erkenntnisse der vorgestellten Studien sind sowohl für die kommerzielle, als auch für die akademische Forschung in naher Zukunft von großer Relevanz.
General online research (GOR) 2008 (abstract)
Web survey bibliography (4086)
- Using global online panels; 2008; Pearson, C., Smith, E., Ridlen, R., Zhang, H., Cooper, A
- The quest for on-line quality research; 2008; Rhall, T., Fine, B.
- Visual Design Effects on on Respondents Behaviour in Web-Surveys. A Design Experiment; 2008; Greinoecker, A.
- Effects of Privacy Assurances on the Online Measurement of Psychological Constructs; 2008; Witzki, A., Kramer, J.
- 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.
- 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.
- Mobile Market Research; 2008; Maxl, E.
- 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.
- The Influence of Human Cues on Drop-out and Answer Behaviour within Web Surveys; 2008; Oesterlau, T., Geißler, H.
- “For Example…,” How Different Example Types in Online Surveys Influence Frequency...; 2008; Berent, M., Krosnick, J. A.
- How Too Little Can Give You a Little Too Much: Determining the Number of Household Phone Lines in RDD...; 2008; Merkle, D., Langer, G.
- Learning and fatigue during choice experiments: a comparison of online and mail survey modes; 2008; Savage, S. J., Waldman, D. M.
- Avoiding Massive Automated Voting in Internet Polls ; 2008; Basso, A., Miraglia, M.
- Internet surveys; 2008; Vehovar, V., Lozar Manfreda, K., Koren, G.
- Reasons for nonresponse in a web-based survey of alcohol involvement among first-year college students...; 2008; Cranford, J. A., McCabe, S. E., Boyd, C. J., Slayden, J., Reed, M. B., Lange, J. E., Scott, M. S.
- The influence of mobile telephones on telephone surveys; 2008; Kuusela, V., Callegaro, M., Vehovar, V.
- Telephone and Web: Mixed-Mode Challenge ; 2008; Greene, J., Speizer, H., Wiitala, W.
- Fast times and easy questions: the effects of age, experience and question complexity on web survey...; 2008; Yan, T., Tourangeau, R.
- Mixed Methods Sampling; A Typology With Examples; 2007; Teddie, C.; Yu, F.
- Web Application Stress Testing and Blaise IS; 2007; O'Reilly, J. M.
- Analyses of Web Survey Data; 2007; Kuusela, V.
- Cognitive aspects of survey methodology; 2007; Schwarz, N.
- Panel Quality: Tips to Achieve Pure Sample, from Recruitment to Long-Term Engagement; 2007; Fitzgerald, D.
- Non-Response in the Panel Study of Belgian Households (1992-2002): An Output and Process Evaluation; 2007; De Keulenaer, F.
- Sensitive questions in surveys; 2007; Tourangeau, R., Yan, T.
- Webmasters, web policies, and academic libraries: a survey; 2007; Hendricks, A.
- Toward a Definition of Mixed Methods Research; 2007; Johnson, R. B., Onwuegbuzie, A. J., Turner, L. A.
- Sample bias, weights and efficiency of weights in a continuous web voluntary survey; 2007; de Pedraza, P., Tijdens, K., de Bustillo, R.
- What is Sexual Harassment? It Depends on Who Asks! Framing Effects on Survey Responses; 2007; Galesic, M., Tourangeau, R.
- Mixing modes of data collection in surveys: A methodological review; 2007; Roberts, C.
- Differences between respondents and nonrespondents in an Internet survey recruited from face-to-face...; 2007; Bandilla, W., Blohm, M., Kaczmirek, L. & Neubarth, W.
- XSight and the shaping of Marketing Analytics; 2007; Birks, D. F.
- Whither statistical metadata?; 2007; Westlake, A.
- Web survey design; 2007; Ma, Q., McCord, M.
- Web survey and representativeness: Close to three in ten Canadians do not have access to the Internet...; 2007; Bourque, C., Lafrance, S.
- Video mediated communication: Implications for surveys; 2007; Anderson, A. H.
- Utopia - a complete research management system; 2007; Brandwood, T.
- Triple-S: The broader horizon; 2007; Wright, Ge.
- The use of seasonal adjustment software within the Office for National Statistics; 2007; Hussain, F., McLaren, C. H., Stuttard, N.
- The Internet audience. Constitution & measurement; 2007; Bermejo, F.
- The influence of advance letters on response in telephone surveys; 2007; de Leeuw, E. D., Callegaro, M., Hox, J., Korendijk, E., Lensvelt-Mulders, G. J.
- The impact of cookie deletion on the accuracy of site-server and ad-server metrics: An empirical comScore...; 2007; Abraham, Ma., Meierhoefer, C., Lipsman, A.
- The challenge of geocoding large-scale travel surveys; 2007; J.Smith, A. J.