Web Survey Bibliography
The advantages of an online access panel are obvious: obtaining data is quick and economical. The changing desires, needs and opinions of those taking part in the surveys are tracked along a timeline, which is so much more valuable than a simple depiction of the consumer’s opinion at the specific point in time when the survey was taken. The customer therefore has a much more transparent and calculable impression of the everchanging market parameters.
In order to utilize these advantages in market research (also in a market-specific way), we have developed a process that enables us to maintain the most up-to-date information in our online database. By surveying a single target audience, one has the opportunity to more closely observe market segments and to access niche markets more quickly – if all the information is accurate. Any changes in the demographic data, interests, hobbies and preferences that go unnoticed pose a risk for the validity of the overall result.
Even though we find it problematic, we understand that, when panel participants change their data or interests, that they forget to account for this in the statistics or possibly feel some inhibition in the face of the panel registration. This is why we have been working in a much different way for 10 years now: In order to keep our panelists from becoming bored and to keep them interested in becoming participants in the surveys, we allow them to get started after a brief registration and only a few questions: but, we ask these few questions more often – specifically 2 questions after every survey. In this way, we obtain all the data we require – current, fresh and new.
As an example, we keep the registration for one of our most interesting target audiences, the “silver surfers”, as simple as possible. And our customers profit from the up-to-date inventory of data and the opinions solicited from this attractive target audience of people aged 50+ years.
The silver surfers are of particular interest to us because of this group’s rapid growth. Birth rates are dropping, and, according to the Federal Office of tatistics, this means that Germany will have twice as many 60-year olds as newborns by the year 2050. Life expectancy rates are climbing – and until now, the purchasing power of this group has not been tapped. And there is another, very important factor for the purpose of online research: in Germany there are about 7 million people over the age of 50 who have an internet connection and use it regularly.
We make sure that this target audience and all our other panel participants can access us quickly and easily. We also have an extraordinarily up-to-date data inventory. This is the subject we would like to address in the call for papers.
Die Vorteile eines Online Access Panels liegen auf der Hand. Die Datenbeschaffung ist schnell und wirtschaftlich. Die sich ändernden Wünsche, Bedürfnisse und Meinungen der Befragten werden auf einer Zeitschiene abgebildet und zeigen nicht nur die Meinung der Konsumenten im Augenblick der Befragung. Der immer schneller werdende Veränderungsprozess der Marktparameter wird damit für den Kunden rechtzeitig transparent und einschätzbar gemacht.
Um diese Vorteile der Onlineforschung auch marktspezifisch nutzen zu können, haben wir ein Verfahren entwickelt, unsere Onlinedatenbanken hochaktuell zu halten. Gerade die Befragung einer einzelnen Zielgruppe birgt die Chance, Marktsegmente noch genauer beobachten und Nischenmärkte noch schneller erschließen zu können – wenn die Daten aktuell sind. Unvermerkte Änderungen in den demografischen Daten, Interessen, Hobbys, Präferenzen stellen eine Gefahr für das Gesamtergebnis dar. Auch wenn wir es nicht gut finden: Wir haben Verständnis dafür, wenn Panelteilnehmer, deren Daten oder Interessen sich geändert haben, dies im Nachhinein nicht in der Statistik vermerken oder vor der Panel-Zugangs-Hemmschwelle der Registrierung zurück schrecken.
Deshalb arbeiten wir seit 10 Jahren anders: Um unsere Panelisten nicht zu ermüden und sie zu ermutigen, Teilnehmer zu werden, lassen wir sie nach der Anmeldung bereits nach wenigen Fragen starten. Aber dafür gibt es die wenigen Fragen um so öfter. Nach jeder Befragung zwei. Und so bekommen auch wir alle Daten, die wir brauchen. Aktuell, frisch und unverbraucht.
Damit wird auch die Anmeldung für unsere interessante Zielgruppe, den „Silversurfer“, einfach gemacht. Und unsere Kunden profitieren von dem hoch aktuellen Datenbestand und der Meinung dieser attraktiven Zielgruppe im Alter von 50 +. Die Silversurfer sind für uns zum einen so interessant, weil sie eine wachsende Zielgruppe sind. Die Geburtenrate ist rückgängig und so erklärt das statistische Bundesamt, dass Deutschland im Jahr 2050 doppelt so viele 60 Jährige wie Neugeborene haben wird. Die Lebenserwartung steigt – und bis jetzt ist die Kaufkraft dieser Zielgruppe ungebrochen. Hinzu kommt der für Onlineforschung existenzielle Faktor: In Deutschland gibt es knapp sieben Millionen Menschen, die über 50 Jahre alt sind, einen Internetanschluss haben und diesen nutzen. Dieser Zielgruppe, wie auch allen anderen Panelteilnehmern haben wir den Zugang zu uns besonders einfach gemacht. Und wir haben zudem einen außerordentlich aktuellen Datenbestand. Das ist es, worüber wir im „Call for Papers“ sprechen möchten.
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. et al.
- 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.
