Web Survey Bibliography
In recent years, the dual sampling frame approach has become a standard methodology to compensate for the declining coverage of traditional landline telephone surveys. This dual frame approach allows the combination of fixed-line phone samples and mobile phone samples on basis of the combined selection probabilities of each individual respondent in the landline frame and in the mobile phone frame. In the landline frame the number of people in the household is considered in order to determine the selection probability in addition to the number of telephone lines in that household. By contrast, in the mobile phone sampling frame each telephone number is assumed to reach one particular respondent only - mobile phones are considered personal devices. So far, this assumption was justified based on the available findings suggesting that in fact each mobile phone was used by one individual only. However, when taking into account that other persons - like a spouse or partner - could also answer incoming calls on the respondent‟s mobile phone a correctional factor for selection probability within the mobile phone frame would be needed.
In this paper we will question the basis assumption of the dual traditional frame approach according to which mobile telephones are individual devices only (and not household devices). US researchers already indicated that shared mobile phones could turn out to be common for certain household types when asking for it in an adequate way. Also, in one of the pretests to our Experimental Mobile Phone Panel we found supporting evidence. Based on these preliminary findings we developed a questionnaire module concerning mobile phone sharing. We asked for active sharing (the person surveyed answers calls on another person‟s mobile phone) as well as for passive sharing (other people answer calls on the respondent‟s cell phone). If sharing would become a frequent behavioral pattern in households or among other groups of people, it would have serious implications for the selection probabilities of mobile phone surveys. In our paper we will estimate the extent of this behavior among mobile phone telephone users based on data from our 2009 Experimental Mobile Phone Panel. Further on, we will identify social-demographic characteristics of people who are especially prone to sharing.
Conference homepage (abstract)
Web survey bibliography (4086)
- The Effects of the Initial Mode of Contact on the Response Rate and Data Quality in an Internet-Based...; 2009; Wiseman, F.
- Doing Research in the Real World; 2009; Gray, D. E.
- Conducting Mobile Surveys: A Hands-on Introduction to an Innovative Research Mode; 2009; Pferdekämper, T., Melcher, T.
- Internet-based surveys and urban design education: A community outreach graduate project in Redding,...; 2009; del Rio, V., Levi, D.
- Exploration of secondary students’ creativity by integrating web-based technology into an innovative...; 2009; Jang, S.-J.
- An experimental mixed mode design on a general population survey ; 2009; Eva, G.
- Declining Working Phone Rates Impact Sample Efficiency; 2009; Piekarski, L.
- Using Non-Probability Samples for Confusion Surveys - Mall Intercepts and the Internet; 2009; Ericksen, E. P.
- Using Debit Cards for Incentive Payments: Experiences of a Weekly Survey Study; 2009; Gatny, H. H., Couper, M. P., Axinn, W., Barber, J. S.
- Characteristics of Cell Phone Only, Listed, and Unlisted Telephone Households; 2009; Tarnai, J., Schultz, R., Moore, D.
- Cell Phone-Only Households: A Good Target for Internet Surveys?; 2009; Bates, N.
- Nonsampling Error Research in Practice; 2009; Brick, J. M., Kalton, G.
- Total Survey Error: Past, Present, Future; 2009; Groves, R. M.
- Envisioning the Survey Interview of the Future ; 2009; Conrad, F. G., Schober, M. F.
- Metrics for panel contribution: a non probabilistic platform; 2009; Gittelmam, S. H., Trimarchi, E.
- Are telephone Surveys a dying bread. How declining response rates can be explained and resolved; 2009; Degen, M., Obermüller, A., Schielicke, A.-M.
- Relation between values and topic of a survey in internet panel research; 2009; Vis, C., Marchand, M.
- The potential of mobile research: Implications for the future and the role of industry standards; 2009; Nelson, Li.
- Factors Contributing to Participation in Web‐based Surveys among Italian University Graduates; 2009; Cimini, C., Girottu, C., Gasperoni, G.
- Integration of different data collection techniques using the propensity score; 2009; Camillo, F., Conti, V., Ghiselli, S.
- Mode effects in Switzerland: non‐response and measurement error on the European Social Survey; 2009; Roberts, C.
- The mixing of survey modes: application to Laon web and face‐to‐face household travel survey...; 2009; Bayart, C., Bonnel, P.
- Reason analysis: an ambitious alternative for mixed‐mode survey design; 2009; Jerabek, H.
- An innovative open source strategy for the development of electronic questionnaires for statistical...; 2009; Degortes, M., Landriscina, M., Murgia, M.
- Response rates in multi actor surveys; 2009; Pasteels, I., Ponnet, K., Mortelmans, D.
- Unit non‐response in panel surveys: empirical finding from an experiment; 2009; Haunberger, S.
- Do cash incentives helps with RDD studies? Examination of results from a national and a statewide survey...; 2009; Miller, Y., Barger, K., Hearn, D.
- Are people sharing their mobile phones? Selection probabilities in cellular telephone surveys; 2009; Fuchs, M., Busse, B.
- Accuracy of Estimates in Access Panel based Surveys; 2009; Enderle, T., Münnich, R., Bruch, C.
- New developments in survey methodology for official statistics; 2009; Bethlehem, J.
- Survey cooperation: response to initial and follow-up requests - Recent experiences from the recruitment...; 2009; Bartsch, S., Engel, U., Schnabel, C., Vehre, H.
- Methodological Research for Longitudinal Surveys; 2009; Lynn, P.
- Using Mobile Phones to Administer a Working Memory Updating Task in a Survey - Cognitive Performance...; 2009; Schmiedek, F., Riediger, M., Lindenberger, U., Wagner, G. G.
- Accessibility of individuals for mobile phone surveys; 2009; Gabler, S., Häder, S.
- Mixed Modes and Measurement Error: Comparing face-to-face, telephone and web modes ; 2009; Hope, S., Nicolaas, G., Jaeckle, A., Lynn, P., Nandi, A., Campanelli, P.
- The Difficult but Essential Challenge of Designing Mixed-Mode Surveys; 2009; Dillman, D. A.
- Overcoming the challenges of measuring self-reported digital media use: Using feedback to increase data...; 2009
- The Internet survey ; 2009; Getka-Wilczynska, E.
- Modelling online survey participation among Italian university graduates ; 2009; Cimini, C., Girotti, C., Gasperoni, G.
- Coverage rates of mobile telephones and the Internet in Italy ; 2009; Fabbris, L., Gorelli, S.
- Imperfect frames and new data collection techniques ; 2009; Biffignandi, S.
- Web based survey methods workshop; 2009; Weiss, M.
- Web Surveys; 2009; Bosnjak, M.
- Internet Surveys and the Demise of the Matrix; 2009; O’Neill, G., Freedman, S.
- Assesssment of Potential Bias in Telephone Survey Estimates Due to Noncontact and Noncoverage When Household...; 2009; Khare, M., Wouhib, A.
- Experimenting With Speech Interactive Voice Response, Touchtone Data Entry and the Web for the National...; 2009; Cantor, D., Brick, P. D., Tourangeau, R., Conrad, F. G.
- Avoiding the ‘Hang ups’ - Understanding Mobile Phone Self-completion Surveys ; 2009; Johnson, A. J.
- The Impact of Technology on Research Quality; 2009; Milla, P.
- Respondent Technology Preferences; 2009; Miller, C.
- Getting In Line with Online: Making Sense of Chat-based Focus Groups, Ethnogrophies, Blogs, and More; 2009; Longo, J.