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 (4086)
- Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses; 2017; Mendelson, J.; Lee Gibson, J.; Romano Bergstrom, J. C.
- Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not...; 2017; Toepoel, V.; Emerson, H.
- Mind the Mode: Differences in Paper vs. Web-Based Survey Modes Among Women With Cancer; 2017; Hagan, T. L.; Belcher, S. M.; Donovan, H. S.
- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- Ideal and maximum length for a web survey; 2017; Revilla, M.; Ochoa, C.
- Social desirability bias in self-reported well-being measures: evidence from an online survey; 2017; Caputo, A.
- Web-Based Survey Methodology; 2017; Wright, K. B.
- Handbook of Research Methods in Health Social Sciences; 2017; Liamputtong, P.
- Lessons from recruitment to an internet based survey for Degenerative Cervical Myelopathy: merits of...; 2017; Davies, B.; Kotter, M. R.
- Web Survey Gamification - Increasing Data Quality in Web Surveys by Using Game Design Elements; 2017; Schacht, S.; Keusch, F.; Bergmann, N.; Morana, S.
- Effects of sampling procedure on data quality in a web survey; 2017; Rimac, I.; Ogresta, J.
- Comparability of web and telephone surveys for the measurement of subjective well-being; 2017; Sarracino, F.; Riillo, C. F. A.; Mikucka, M.
- Achieving Strong Privacy in Online Survey; 2017; Zhou, Yo.; Zhou, Yi.; Chen, S.; Wu, S. S.
- A Meta-Analysis of the Effects of Incentives on Response Rate in Online Survey Studies; 2017; Mohammad Asire, A.
- Telephone versus Online Survey Modes for Election Studies: Comparing Canadian Public Opinion and Vote...; 2017; Breton, C.; Cutler, F.; Lachance, S.; Mierke-Zatwarnicki, A.
- Examining Factors Impacting Online Survey Response Ratesin Educational Research: Perceptions of Graduate...; 2017; Saleh, A.; Bista, K.
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- Paradata as an aide to questionnaire design: Improving quality and reducing burden; 2017; Timm, E.; Stewart, J.; Sidney, I.
- Fieldwork monitoring and managing with time-related paradata; 2017; Vandenplas, C.
- Interviewer effects on onliner and offliner participation in the German Internet Panel; 2017; Herzing, J. M. E.; Blom, A. G.; Meuleman, B.
- Interviewer Gender and Survey Responses: The Effects of Humanizing Cues Variations; 2017; Jablonski, W.; Krzewinska, A.; Grzeszkiewicz-Radulska, K.
- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
- Where, When, How and with What Do Panel Interviews Take Place and Is the Quality of Answers Affected...; 2017; Niebruegge, S.
- Comparing the same Questionnaire between five Online Panels: A Study of the Effect of Recruitment Strategy...; 2017; Schnell, R.; Panreck, L.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Do distractions during web survey completion affect data quality? Findings from a laboratory experiment...; 2017; Wenz, A.
- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
- Measuring Subjective Health and Life Satisfaction with U.S. Hispanics; 2017; Lee, S.; Davis, R.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- The Effect of Respondent Commitment on Response Quality in Two Online Surveys; 2017; Cibelli Hibben, K.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- Redirected Inbound Call Sampling (RICS); A New Methodology ; 2017; Krotki, K.; Bobashev, G.; Levine, B.; Richards, S.
- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
- Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities...; 2017; Kulas, J. T.; Robinson, D. H.; Kellar, D. Z.; Smith, J. A.
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Is There a Future for Surveys; 2017; Miller, P. V.
- Reducing speeding in web surveys by providing immediate feedback; 2017; Conrad, F.; Tourangeau, R.; Couper, M. P.; Zhang, C.
- Social Desirability and Undesirability Effects on Survey Response latencies; 2017; Andersen, H.; Mayerl, J.
- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
- A Case Study on Evaluating the Relevance of Some Rules for Writing Requirements through an Online Survey...; 2017; Warnier, M.; Condamines, A.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.