Web Survey Bibliography
Mobile research is often referred to as a new survey mode, but it is much more than that. Modern mobile phones combine telephony with wireless data communications and powerful computing hardware to provide unprecedented ways for humans to communicate. Mobile research is about leveraging the mobile phone to capture consumers` attention, regardless of what mode of communication is employed. People are increasingly on the move, making them more difficult to reach. The face of consumer feedback is changing: many people will provide feedback that is in context while they are at a particular location, while others will opt-in to research panels where they can provide feedback on their own time. Mobile communities will form their own feedback loops through various social networks, and completely new research methods will emerge. In all cases, consumers will choose when and how they provide feedback. The role of mobile research is to make it easy for people to provide this feedback in a way that is personal, contextual and available - anytime, anywhere.
This paper will focus on predicting the future of mobile research, through the eyes of a mobile research pioneer who has spent the past 17 years living and breathing mobile survey technology. Following a brief overview of current and emerging trends in mobile technology adoption, Mark will challenge delegates to take a holistic view of mobile research, and to gain an appreciation for the full impact of an increasingly connected global population. Benefits and challenges of various survey modes will be discussed, including telephone, web, SMS and other ways to reach people in a mobile setting.
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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.