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 - Mobile phone surveys (305)
- Best practices in mobile research; 2009; Zahariev, M., Ferneyhough, C., Ryan, C.
- Mobile interviewing; 2009; Lavine, S.
- The Coverage Bias of Mobile Web Surveys Across European Countries ; 2009; Fuchs, M., Busse, B.
- Using mobile phones for survey research A comparison with fixed phones ; 2009; Vicente, P., Reis, E., Santos, R.
- Conducting Mobile Surveys: A Hands-on Introduction to an Innovative Research Mode; 2009; Pferdekämper, T., Melcher, T.
- Declining Working Phone Rates Impact Sample Efficiency; 2009; Piekarski, L.
- 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.
- The potential of mobile research: Implications for the future and the role of industry standards; 2009; Nelson, Li.
- Are people sharing their mobile phones? Selection probabilities in cellular telephone surveys; 2009; Fuchs, M., Busse, B.
- 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.
- Mobile Phone Surveys in Germany – Response rates and response behaviour; 2009; Hader, S., Schneiderat, G.
- Are Respondents Sharing their Mobile Phones? Preliminary results based on a mobile phone panel in Germany...; 2009; Fuchs, M.
- Representativeness of Mobile Internet Surveys - A comparative study of CAMI vs. CATI ; 2009; Maier, U., Neubarth, W., Grosser, A., Hombach, A.
- Diffusion of Mobile Services Adoption in Taiwan; 2009; Doong, H.-S., Wang, H.-C.
- Potential Of The Mobile Internet - What You Ask Is What You Get; 2009; Neubarth, W., Maier, U., Geißlitz, A.
- Measuring Network Quality: Strengths and Weaknesses of different Evaluation Methods (SMS, w@p and web...; 2009; Wallisch, A., Schwab, H.
- Understanding the willingness to participate in mobile surveys: Exploring the role of hedonic, affective...; 2009; Bosnjak, M., Metzger, G.
- Integrating Mobile Surveys into digital market research: Recommendations for Mobile Panel operation...; 2009; Friedrich-Freksa, M., de Groote, Z., Metzger, G.
- Measurement options, measurement error, and usability in mobile surveys; 2009; Pferdekämper, T., Bosnjak, M., Metzger, G.
- Short Message Service (SMS) Technology in Alcohol Research-A Feasibility Study; 2009; Kuntsche, E., Robert, B.
- The Mobile-only Population in Portugal and Its Impact in a Dual Frame Telephone Survey; 2009; Vicente, P., Reis, E.
- 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.
- 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.
- Smartphones: An Emerging Tool for Social Scientists; 2009; Raento, M., Oulasvirta, A., Eagle, N.
- Mobile phone surveys in mixed mode environment; 2009; Vehovar, V.
- Designing a Web-Based Survey Tool for small businesses and non-profit organizations; 2008; Zhang, D.
- Social desirability bias in CATI, IVR and Web surveys: The effects of mode and question sensitivity; 2008; Kreuter, F., Presser, S., Tourangeau, R.
- Testing survey questions; 2008; Campanelli, P.
- Telephone survey methodology: Adapting to change; 2008; Tucker, C., Lepkowski, J. M.
- Sample factors that influence data quality; 2008; Gailey, R., Teal, D., Haechrel, E.
- Privacy, confidentiality, and response burden as factors in telephone survey nonresponse; 2008; Singer, E., Presser, S.
- Modeling campaign dynamics on the web in the 2008 National Annenberg Election Study; 2008; Johnston, R.
- Mobile web surveys: A preliminary discussion of methodological implications; 2008; Fuchs, M.
- Evaluation of Sample Designs for Telephone Surveys That Include Cell Phones; 2008; Steeh, C. G.
- Costs and Benefits from Conducting a Supplemental Sample of Cell Phone Numbers in National RDD Surveys...; 2008; Kennedy, C.
- Cell Phone Interviewing; 2008; Lee, R. H.
- Interviewing with Cell Phones: Trends and Effects on Data Quality and Operation Costs; 2008; Leissou, E., Gouskova, E., McGonagle, K., Beaule, A., Stafford, F.
- The Good, the Bad, and the Ugly of Cell Phone Surveying; 2008; Barron, M.
- Experiments in Mobile Web Survey Design; 2008; Peytchev, A., Hill, C.
- Mobile Research: Five Ways To Collect Data Using Mobile Devices; 2008; Conry, S.
- “R U in the Network?!” Using Text Messaging Interfaces as Screeners for Working Cell Phone...; 2008; Buskirk, T. D., Rao, K., Callegaro, M., Arens, Z., Steiger, D. M.
- Sampling & Weighting Cell Phone Samples to Supplement RDD Surveys; 2008; Brick, J. M., Edwards, W. S., Lee, Sunghee