Web Survey Bibliography
In recent years cell phone coverage rates have increased rapidly. At the same time, more and more people have abandoned their landline telephone service. As a consequence, the proportion of the so called mobile-only population that has a cell phone only has increased. Thus, traditional RDD sampling procedures that rely on the landline telephone numbering frame only are questioned because of the potential coverage bias of samples drawn from this frame. In order to compensate for this coverage bias more and more telephone surveys make use of a dual frame sampling scheme consisting of randomly generated landline telephone numbers and mobile phone numbers.
Since a landline telephone number might reach a household with multiple members of the target population (e.g. adults) this number is subsequently weighted with the inverse of the number of persons in that particular household who belong to the target population multiplied with the number of landline telephone numbers that can be used to reach this household. By contrast, mobile phones are treated a personal devices, thus, the weight for these numbers is build on the number of mobile phone numbers of that particular person, only.
In this paper we will assess whether the underlying assumption is justi ed according to which a mobile phone is a personal device that is not shared among a group of potential respondents. Based on the rst wave of a small scale mobile phone panel we will report estimates for the proportion of mobile phone numbers that can be used to contact more than one respondent. In addition, we will provide socio-demographic background information n the sharing population in Germany.
Web Survey Bibliography - Other CASIC (529)
- Zero Banks: Coverage Error and Bias in Rdd Samples Based on Hundred Banks with Listed Numbers ; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- National Surveys Via RDD Telephone Interviewing vs. the Internet: Comparing Sample Representativeness...; 2009; Chang, L. C., Krosnick, J. A.
- Best practices in mobile research; 2009; Zahariev, M., Ferneyhough, C., Ryan, C.
- Mobile interviewing; 2009; Lavine, S.
- A comparison of web-based and telephone surveys for assessing traffic safety concerns, beliefs, and...; 2009; Beck, K. H., Yan, A. F., Qi Wang, M.
- The Coverage Bias of Mobile Web Surveys Across European Countries ; 2009; Fuchs, M., Busse, B.
- Item non-response rates: a comparison of online and paper questionnaires ; 2009; Denscombe, M.
- Using mobile phones for survey research A comparison with fixed phones ; 2009; Vicente, P., Reis, E., Santos, R.
- A Comparison of Different Survey Periods in Online Surveys of Persons with Eating Disorders and Their...; 2009; Wesemann, D., Grunwald, A., Grunwald, M.
- A Comparison of Web-Based and Paper-Based Survey Methods Testing Assumptions of Survey Mode and Response...; 2009; Greenlaw, C., Brown-Welty, S.
- 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.
- An experimental mixed mode design on a general population survey ; 2009; Eva, G.
- Does Response Rate Matter? Journal Editors Use of Survey Quality Measures in Manuscript Publication...; 2009; Carley-Baxter, L. R., Hill, C., Roe, D. J., Twiddy, S. E., Baxter, R. K., Ruppenkamp, J.
- 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.
- Envisioning the Survey Interview of the Future ; 2009; Conrad, F. G., Schober, M. F.
- Are telephone Surveys a dying bread. How declining response rates can be explained and resolved; 2009; Degen, M., Obermüller, A., Schielicke, A.-M.
- 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.
- 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.
- The Potential of a Multi-mode Data Collection Design to Reduce non-response bias. The Case of a Survey...; 2009; Sala, E., Lynn, P.
- Are people sharing their mobile phones? Selection probabilities in cellular telephone surveys; 2009; Fuchs, M., Busse, B.
- 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.
- 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., Jäckle, A., Lynn, P., Nandi, A., Campanelli, P.
- The Difficult but Essential Challenge of Designing Mixed-Mode Surveys; 2009; Dillman, D. A.
- 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.
- Indicators for the representativeness of survey response; 2009; Schouten, B., Cobben, F., Bethlehem, J.
- Recruiting Probability-Based Web Panel Members Using an Address-Based Sample Frame: Results from a Pilot...; 2009; DiSogra, C., Callegaro, M., Hendarwan, E.
- The Challenge and Importance of Including Spanish-Dominant Latinos in an Online Panel; 2009; Dennis, J. M., Wells, T., Torres, J.
- Computer-Assisted Audio Recording (CARI): Repurposing a Tool for Evaluating Comparative Instrument Design...; 2009; Edwards, B., Hicks, W., Tourangeau, K., Harris-Kojetin, L., Moss, A.
- A comparison of two mixed mode designs: cati-capi and web-cati-capi; 2009; Beukenhorst, D., Wetzels, W.
- Comparison between Liss panel (web) and ESS data (face to face); 2009; Revilla, M., Saris, W. E.
- Is a cell phone really a personal device? Results from the first wave of a mobile phone panel on sharing...; 2009; Fuchs, M., Busse, B.
- Mobile Phone Surveys in Germany – Response rates and response behaviour; 2009; Hader, S., Schneiderat, G.
- Interviewer voice characteristics and productivity in telephone surveys; 2009; Best, H., Bauer, G., Steinkopf, L.
- Effectiveness of incentives in mixed-mode systems: An evaluation of errors & costs; 2009; Lozar Manfreda, K., Berzelak, N., Vehovar, V.