Web Survey Bibliography
The mobile internet is becoming increasingly important. Four reasons which might explain this development are: (1) the bandwidth required for usage of mobile internet applications is now available. (2) Increased computing power and enhanced displays are facilitating the surfing experience. (3) Mobile network service providers have reduced the fees for mobile data transfers. (4) The number of websites especially designed for mobile use is continuously increasing.
In contrast to the increasing relevance of the mobile internet, many questions relating to users and usage have remained largely unanswered: How many mobile online users are there at present? How great is the short-term potential?
The study presented in this paper shows the proportion of mobile users within the general population, how many of them surf the internet and how many use e-mail services. We will also take a look at the near future to determine the potential of mobile internet usage. Furthermore, we will consider obstacles to the use of mobile internet following our survey.
The results are based on a telephone survey of 2,000 respondents representatively chosen from the German speaking population aged 14 years and older. The findings can be considered representative of the general population. This paper shows that the number of mobile internet users varies greatly in accordance with the used definitions. For example the inclusion or exclusion of e-mail services shows significant effects. This is crucial in order to determine the number of users that can be reached through advertising campaigns.
The paper also shows major differences between demographic groups. The usage rates specific to age, income and educational backgrounds may differ by up to factor 3! Gender also plays a key role in mobile internet usage. Also the profile of “e-mail only” users varies from that of e-mail and mobile website users.
The presented study offers insights for future empirical research as it provides guidelines on how to clearly differentiate between website and e-mail usage on mobile phones. On the other hand this presentation is directly relevant for designing ad campaigns given that the size of general and specific target groups may be identified.
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Web Survey Bibliography (6797)
- Conceptualising and evaluating experiences with brands on Facebook; 2013; Smith, S.
- Lotteries and study results in market research online panels; 2013; Goeritz, A.; Luthe, S. C.
- Estimates on the effectiveness of web application firewalls against targeted attacks; 2013; Holm, H., Ekstedt, M.
- Respondent Rewards: Money for Nothing?; 2013; Martin, P.
- How to make your questionnaire mobile-ready; 2013; Cape, P. J.
- Did I Do That? How Trap Questions Can Hurt Data Quality; 2013; Phillips, K.
- Leveraging mobile and online qualitative to get inside shoppers’ heads; 2013; Bryson, J., Ritzo, J.
- A report on the Confirmit Market Research Software Survey 2013; 2013; Macer, T., Wilson, S.
- Thoughts on using the new online qualitative tools; 2013; Freund, N. M.
- Web Panel Representativeness; 2013; Bianchi, A., Biffignandi, S.
- Interactive applets on the Web for methods and statistics; 2013; Reips, U. -D., McClelland, G.
- Economic valuation in Web surveys; A review of the state of the art and best practices; 2013; Menegaki, A. N., Tsagarakis, K. P.
- Can creative web survey questionnaire design improve the response quality?; 2013; Angelovska, J., Mavrikiou, P. M.
- Utilization of High-Technology to Collect Health Risk Assessment Information from Medicare Members:...; 2013; Freedman, D., VanderHorst, N.
- An evaluation of mixed methods (diaries and focus groups) when working with older people; 2013; Koopman-Boyden, P., Richardson, M.
- Respondent Behavior Logging: An Opportunity for Online Survey Design; 2013; Sjoestroem, J., Rahman, M. H., Rafiq, A., Lochan, R., Agerfalk, P. J.
- Beyond Satisfaction Questionnaires: “Hacking” the Online Survey; 2013; Evans, A. L.
- Methodological Issues in the Design of Online Surveys for Measuring Unethical Work Behavior: Recommendations...; 2013; Wouters, K., Maesschalck, J., Peeters, C. F. W., Roosen, M.
- Use of mobile devices to answer online surveys: implications for research; 2013; Cunningham, J. A., Neighbors, C., Bertholet, N., Hendershot, C. S.
- Enhancing student engagement in student experience surveys: a mixed methods study; 2013; Webber, M., Lynch, S., Oluku, J.
- Where Am I? A Meta-Analysis of Experiments on the Effects of Progress Indicators for Web Surveys; 2013; Villar, A., Callegaro, M., Yang, Y.
- Field Lessons From the Delivery of Questionnaires to Young Adults Using Mobile Phones; 2013; van Heerden, A. C., Norris, S. A., Tollman, S. M., Stein, A. D., Richter, L. M.
- Comparison of Smartphone and Online Computer Survey Administration; 2013; Wells, T., Bailey, J., Link, M. W.
- Panel Conditioning in Difficult Attitudinal Questions; 2013; Binswanger, J., Schunk, D., Toepoel, V.
- Web Coverage in the UK and its Potential Impact on General Population Web Surveys; 2013; Callegaro, M.
- Issues of Coverage and Sampling in Web Surveys for the General Population; 2013; Lynn, P.
- Optimizing quality of response through adaptive survey designs; 2013; Schouten, B., Calinescu, M., Luiten, A.
- Attitudes of Nebraska Residents on Nebraska Water Management; 2013; Dillman, D. A., Edwards, M. L.
- Attitudes of Washington Residents on Washington Water Management; 2013; Dillman, D. A., Edwards, M. L.
- On the Impact of Response Patterns on Survey Estimates from Access Panels; 2013; Enderle, T., Muennich, R., Bruch, C.
- A Comparison of Data Quality Across Modes in a Mixed-Mode Collection of Administrative Records; 2013; Worthy, M., Mayclin, D.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- To Click, Type, or Drag? Evaluating Speed of Survey Data Input Methods; 2013; Husser, J. A., Husser, J. A.
- Unit Nonresponse and Weighting Adjustments: A Critical Review; 2013; Brick, J. M.
- Web psychosocial surveys in cancer survivorship - a methodological note; 2013; Santin, O., Mills, M., Treanor, C., Mc Donald, G., Donnelly, M.
- Internet visual media processing: a survey with graphics and vision applications; 2013; Hu, S.-M., Chen, T., Xu, K., Cheng, M.-M., Martin, R. R.
- Measuring the impact of the Web: Rasch modelling for survey evaluation; 2013; Annoni, P., Weziak-Bialowolska, D., Farhan, H.
- Online Case Studies: HESI Exit Exam Scores and NCLEX-RN Outcomes; 2013; Young, A., Rose, G., Willson, P.
- The Challenges and Benefits of Distance Mentoring; 2013; Lach, H. W. et al
- Hail to Thee, Our Alma Mater: Alumni Role Identity and the Relationship to Institutional Support Behaviors...; 2013; McDearmon, J. T.
- Using Tablet Computers For “Intentional” Mobile Research; 2013; Seal, J.
- Encouraging Record Use For Financial Asset Questions In A Web Survey; 2013; Couper, M. P., Ofstedal, M. B., Lee, S.
- Experiments with methods to reduce attrition in longitudinal surveys; 2013; Fumagalli, L., Laurie, H., Lynn, P.
- Can Online Surveys Substitute Traditional Modes? An Error-Based Comparison of Online and On-Site Tourism...; 2013; Kim, N., Yu, X., Schwartz, Z.
- How incentives affect web-based survey response rates of athletic program donors; 2013; Alvarado, G., Callison, C.
- Investigating the Relationship among Prepaid Token Incentives, Response Rates, and Nonresponse Bias...; 2013; Parsons, N. L., Manierre, M. J.
- The Effect of Survey Mode on High School Risk Behavior Data: a Comparison between Web and Paper-based...; 2013; Raghupathy, S., Hahn-Smith, S.
- Web-Based Versus Traditional Paper Questionnaires: A Mixed-Mode Survey With a Nordic Perspective; 2013; Hohwue, L., Lyshol, H., Gissler, M., Hrafn Jonsson, S., Petzold, M., Obel, C.
- Going online with a face-to-face household panel: initial results from an experiment on the Understanding...; 2013; Jaeckle, A., Lynn, P., Burton, J.
- Targeted response inducement strategies on longitudinal surveys; 2013; Lynn, P.