Web Survey Bibliography
In recent years, online questionnaires have established themselves as an indispensable part of the data collection toolkit. Respondents for the surveys are chiefly recruited from online access panels. However, surveys carried out using online access panels are limited on account of internet access times and the identity of panel members. Members in online access panels can only take part in questionnaires if they are online on their PCs and if they check their emails regularly and can identify the invitation email amongst the host of spam emails. As field times become ever shorter, certain groups of people are being excluded more and more often from taking part in these kinds of surveys. The use of mobile invitation and survey methods opens up new opportunities and leads to an improved sample quality. On the basis of several field experiments, these opportunities were examined and verified in terms of the following two hypotheses:
H1: Sending reminder invitations in the form of mobile text messages gets a higher and more rapid response rate than reminders sent per email.
H2: Carrying out mixed-mode online interviews via mobile and PC-based access routes leads to a more accurate reflection of the gross sample.
The unique nature of the identity of members in online access panels is a crucial condition for the accuracy of the survey results. In registration processes to date, the uniqueness of identity has been established first and foremost by checking the participant's email address. Clearly such addresses are not unique and can be assigned any number of times. The use of mobile channels in this case opens up new opportunities. Using a specially developed mobile verification system, access to online questionnaires is only possible following a mobile double opt-in process. The unique identity of future participants is established by requesting the participant's mobile telephone number. Multiple participation and multiple registrations in the online panel are thus made considerably more difficult. This process means that standardized double memberships can be avoided. The outcome of the comparative study will give an insight into the extent to which it is possible to achieve a better quality of data by using Internet-enabled mobile devices and whether this really does have a positive effect on the quality of the results.
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Web survey bibliography (4086)
- The Influence of Topic Interest and Interactive Probing on Responses to Open-Ended Questions in Web...; 2009; Holland, J. L., Christian, L. M.
- Automating Market Research in the Field on all actual sold mobile devices; 2009; Düll, K.
- How mobile phones changed the non-response in cross-national telephone surveys; 2009; De Keulenaer, F.
- Using Web 2.0 application Twitter for formative course evaluation: a case study; 2009; Burger, C., Stieger, S.
- "Mobile phone surveys in mixed mode environment: Balancing costs and errors"; 2009; Vehovar, V.
- "The potential of mobile research: Implications for the future, and the role of industry standards"; 2009; Nelson, Li.
- "Mobile technology in research: Trends and perspectives"; 2009; Macer, T.
- Mobile Research success factors: Mode-specific measurement options, usability issues, communications...; 2009; Pferdekämper, T., de Groote, Z., Wilke, A., Metzger, G.
- The Multi-Modal Future of Mobile Research: A Holistic Viewpoint; 2009; Cameron, M. R.
- Doing surveys where it matters - the GPS-age and privacy. How the MR industry can do surveys where the...; 2009; Tjostheim, I., Fritsch, L.
- Mobility, Flexibility and Identity - How the use of mobile questionnaires improves the data quality...; 2009; Hellwig, O., Wirth, T.
- Evaluating two different mobile survey approaches: personal mobile panel research and ad-hoc mobile...; 2009; Friedrich-Freksa, M., Metzger, G.
- Anytime, Anywhere Mobile Interviewing: Comparing Mobile Voice and Web Response Patterns; 2009; Petit, F. C.
- Using mobile phones to measure TV-broadcast quality; 2009; Wieland, J. L., Puggaard, B.
- Using mobile research to get to the heart of branding and marketing effectiveness right now; 2009; Day, D.
- Panel Discussion: Digital Fingerprinting: An Online Quality Solution and Its Implications; 2009; Smith, R., Chadwick, S., Davis, H., Berlin, D. L., Zalis, S.
- A Place for Mobile Communication and Mobile Surveying in Online Research; 2009; Luth, L.
- The Survey “Burden Factor”—How Important is Respondent’s Perception of Survey...; 2009; Drolet, J., Butler, A., Stevens, C.
- The Opportunity for Flash Scales in Online Surveys; 2009; Cape, P. J.
- Beyond ‘Trapping’ the Undesirable Panelist-The Use of Red Herrings to Reduce Satisficing...; 2009; Baker-Prewitt, J., Miller, J.
- Panel Discussion: Industry Sustainability In Light Of Recent Quality Initiatives; 2009; Pearson, C., Shapero, D., Umeh, K., Boen, D.
- Late Responders—Does Their Absence Affect the Findings of Fast Turnaround Surveys, or Not; 2009; Ambrose, D., Ripley, G.
- A Respondent Classification Scheme for Online Sample Methodologies; 2009; Courtright, M.
- Compensation Structure of Panels; 2009; Carlin, C., Billingsley, S.
- The representativeness of the LISS panel ; 2009; Knoef, M., de Vos, K.
- Opportunities, Options and Security Consideration in Data Collection from Internet; 2009; Jaffri, A. H.
- Addressing the Cell Phone-Only Problem: Cell Phone Sampling Versus Address Based Sampling; 2009; W., Daily, G., Shuttles, D. C., Bourquin, C., Yancey, L. T.Link, M. W.
- Differential response rates in postal and Web-based surveys in older respondents; 2009; Bech, M., Kristensen, M. B.
- Mode Differences Between Face-to-Face and Web Surveys: An Experimental Investigation of Data Quality...; 2009; Heerwegh, D.
- Comparing Adolescent Response Bias Between Internet and Telephone Surveys ; 2009; Klein, J. D., Graff Havens, C., Thomas, R. K.
- Optimum survey methods when interviewing employed women; 2009; Dunning, K., LeMasters, G. K.
- Money talks: non-monetary incentive and Internet administration fail to increase response rates to a...; 2009; Recklitis, C. J., Campbell, E. G., Kutner, J. S., Bober, S. L.
- Use of Web and In-Person Survey Modes to Gather Data From Young Adults on Sex and Drug Use; 2009; McMorris, B. J., Petrie, R. S., Catalano, R. F., Fleming, C. B., Haggerty, K. P., Abbott, R. D.
- Introduction to the Special Issue on Web Surveys ; 2009; Witte, J. C.
- Web Survey Methods: Introduction; 2009; Couper, M. P., Miller, P. V.
- Effects of different types of progress indicators on drop-out rates in web surveys; 2009; Matzat, U., Snijders, C., van der Horst, W.
- Coverage- und Nonresponse-Effekte bei Online-Bevölkerungsumfragen ; 2009; Bandilla, W., Kaczmirek, L., Blohm, M., Neubarth, W.
- Using the World-Wide Web to obtain large-scale word norms: 190,212 ratings on a set of 2,654 German...; 2009; Lahl, O., Goeritz, A., Pietrowsky, R., Rosenberg, J.
- Ethical suicide research: A survey of researchers ; 2009; Lakeman, R., Fitzgerald, M.
- Potential for technical errors and subverted allocation can be reduced if certain guidelines are followed...; 2009; Hewitt, C. E., Torgerson, D. J., Berger, V. W.
- Web-based measurement: Effect of completing single or multiple items per webpage; 2009; Thorndike, F. P., Carlbring, P., Smyth, F. L., Magee, J. C., Gonder-Frederick, L., Ost, L. G., Ritterband...
- Developing an Internet-based survey to collect program cost data; 2009; Caffray, C. M., Chatterji, P.
- Online Versus Paper: Format Effects in Tourism Surveys; 2009; Dolnicar, S., Laesser, C., Matus, K.
- Web‐Based Surveys: Not Your Basic Survey Anymore; 2009; Bertot, J. C.
- Smartphones: An Emerging Tool for Social Scientists; 2009; Raento, M., Oulasvirta, A., Eagle, N.
- Designing Scalar Questions for Web Surveys; 2009; Christian, L. M., Parsons, N. L., Dillman, D. A.
- Mobile phone surveys in mixed mode environment; 2009; Vehovar, V.
- Measurement Equivalence of Paper-and-Pencil and Internet Organisational Surveys: A Large Scale Examination...; 2009; de Beuckelaer, A., Lievens, F.
- Response rate and measurement differences in mixed-mode surveys using mail, telephone, interactive voice...; 2009; Dillman, D. A., Phelps, G., Tortora, R. D., Swift, K., Kohrell, J., Berck, J., Messer, B. L.
- Parameter estimation validity and relationship robustness: A comparison of telephone and internet survey...; 2009; Campanella Bracken, C., Jeffres, L. W., Neuendorf, K., Atkin, D.