Web Survey Bibliography
Title Developing a Strategy for Sampling U.S. Mobile Phone Users Based on European Models
Author Buskirk, T. D., Callegaro, M.
Year 2003
Access date 07.05.2004
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Abstract The Cellular phone penetration of many European countries is reaching
in excess of 90 percent. Because the European market has a uniform
technology (GSM) and a billing system that allows free incoming minutes
for the end user and because of the high penetration rate of mobile
phone users, many European countries, lead by Finland, are conducting
telephone surveys via mobile phones. A consequence of the increasing
penetration rates is a decrease in the landline-only household
penetration and an increase in both the number of households that have
just a mobile phone and those that have both a landline telephone as
well as a mobile telephone. With the increasing number of mobile phone
only households, European countries cannot simply use sampling methods
that reach households with some type of landline telephone as the
undercoverage bias approaches non-ignorable limits. Hence, several
strategies have been developed to sample these European mobile phone
only households to compensate for the selection bias associated with
landline-only telephone surveys.
Meanwhile, the penetration of mobile telephones in the U.S. is lower compared to that of many European countries, yet continues to increase. This lower penetration rate coupled with variation in plans and providers and a nonuniform technology present many difficulties with easily adapting the European methodology for surveying mobile phone customers to U.S. mobile phone subscribers. One such marked difference comes in the processing and payment of incoming minutes with most U.S. customers being charged for all incoming minutes. In this paper we will explore some of the advances proposed by some European mobile phone survey models and discuss how these advances can be applied or modified for use in the United States. This information will be synthesized into sampling strategies that should prove useful for surveying mobile phone subscribers in the United States.
Meanwhile, the penetration of mobile telephones in the U.S. is lower compared to that of many European countries, yet continues to increase. This lower penetration rate coupled with variation in plans and providers and a nonuniform technology present many difficulties with easily adapting the European methodology for surveying mobile phone customers to U.S. mobile phone subscribers. One such marked difference comes in the processing and payment of incoming minutes with most U.S. customers being charged for all incoming minutes. In this paper we will explore some of the advances proposed by some European mobile phone survey models and discuss how these advances can be applied or modified for use in the United States. This information will be synthesized into sampling strategies that should prove useful for surveying mobile phone subscribers in the United States.
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Year of publication2003
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Callegaro, M. (41)
- Assessing the Accuracy of 51 Nonprobability Online Panels and River Samples: A Study of the Advertising...; 2016; Yang,Y.;Callegaro,M.;Yang,Y.;Callegaro,M.;Chin,K.;Yang,Y.;Villar,A.;Callegaro, M.; Chin, K.; Krosnick...
- Report of the Inquiry into the 2015 British general election opinion polls; 2016; Sturgis, P., Baker, N., Callegaro, M., Fisher, St., Green, J., Jennings, W., Kuha, J., Lauderdale, B...
- The quality of data collected using online panels: a decade of research ; 2015; Callegaro, M.
- Metrics and Design Tool for Building and Evaluating Probability-Based Online Panels; 2015; DiSogra, C.; Callegaro, M.
- Yes-no answers versus check-all in self-administered modes ; 2015; Callegaro, M.; Henderson, V.; Murakami, M.; Tepman, Z.
- A critical review of studies investigating the quality of data obtained with online panels based on...; 2014; Callegaro, M., Villar, A., Yeager, D. S., Krosnick, J. A.
- Online panel research: History, concepts, applications and a look at the future; 2014; Callegaro, M., Baker, R., Bethlehem, J., Goeritz, A., Krosnick, J. A., Lavrakas, P. J.
- Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics; 2014; Callegaro, M.
- Paradata in web surveys; 2013; Callegaro, M.
- From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps: has the respondent gone...; 2013; Callegaro, M.
- Web coverage in the UK and its potential impact on general population web surveys; 2013; Callegaro, M.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- Effects of Pagination on Short Online Surveys; 2012; Sedley, A., Callegaro, M.
- A Systematic Review of Studies Investigating the Quality of Data Obtained with Online Panels; 2012; Callegaro, M., Villar, A., Krosnick, J. A., Yeager, D. S.
- A taxonomy of paradata for web surveys and computer assisted self interviewing (Casi); 2012; Callegaro, M.
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- Should we use the progress bar in online surveys? A meta-analysis of experiments manipulating progress...; 2011; Callegaro, M., Yang, Y., Villar, A.
- IVR and web administration in structured interviews utilizing rating scales: exploring the role of motivation...; 2011; Yang, Y., Callegaro, M., Bhola, D. S., Dillman, D. A.
- The Effect of Email Invitation Subject Title and Text on Online Survey Completion Rates in Internet...; 2009; Kruse, Y., Thomas, M., Nukulkij, P., Callegaro, M.
- Differences Between Internet and Non-Internet Households on Survey Items: Do These Differences Disappear...; 2009; Zhang, C., Callegaro, M., Thomas, M.
- Producing Straightlining and Item Non-Differentiation in a Web Survey: How Visual Design Plays a Role...; 2009; Callegaro, M., Shand-Lubbers, J., Dennis, J. M.
- Do we hear different voices?: Investigating the differences between internet and non-internet users...; 2009; Zhang, C., Callegaro, M., Thomas, M., DiSogra, C.
- The Effect of Email Invitation Customization on Survey Completion Rates in an Internet Panel: A Meta...; 2009; Callegaro, M., Kruse, Y., Thomas, M., Nukulkij, P.
- Panel Conditioning and Attrition in the AP-Yahoo! News Election Panel Study; 2009; Kruse, Y., Callegaro, M., Dennis, J. M., DiSogra, C., Subias, S., Lawrence, M., Tompson, T.
- Recruiting Probability-Based Web Panel Members Using an Address-Based Sample Frame: Results from a Pilot...; 2009; DiSogra, C., Callegaro, M., Hendarwan, E.
- Presentation of a Single Item versus a Grid: Effects on the Vitality and Mental Health Scales of the...; 2009; Callegaro, M., Shand-Lubbers, J., Dennis, J. M.
- Computing Response Rates for Probability-Based Web Panels; 2009; DiSogra, C., Callegaro, M.
- Is the digital divide still closing? New evidence points to skewed online results absent non-Internet...; 2008; Callegaro, M., Wells, T.
- Effects of Pre-coding Response Options for Five Point Satisfaction Scale in Web Surveys; 2008; Callegaro, M., Wells, T., Kruse, Y.
- An implementation of a within-household selection procedure for web surveys; 2008; Callegaro, M., Osborn, L., Debell, M., Leuvano, P.
- Response options order effect and category number association: An experiment using items on a five point...; 2008; Tang, G., Callegaro, M.
- More than the digital divide?: Investigating the differences between Internet and non-Internet users; 2008; Zhang, C., Callegaro, M., Thomas, M.
- “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.
- Computing Metrics for Online Panels; 2008; Callegaro, M., DiSogra, C.
- Impact of new technologies in data collection methods; 2008; Callegaro, M.
- Key Issues in Research Accuracy: Sources of bias and error in online research; 2008; Dennis, J. M., Callegaro, M.
- The influence of mobile telephones on telephone surveys; 2008; Kuusela, V., Callegaro, M., Vehovar, V.
- The influence of advance letters on response in telephone surveys; 2007; de Leeuw, E. D., Callegaro, M., Hox, J., Korendijk, E., Lensvelt-Mulders, G. J.
- Using Text Messages in U.S. Mobile Phone Surveys ; 2007; Steeh, C. G., Buskirk, T. D., Callegaro, M.
- Response latency as an indicator of optimizing. A study comparing job applicants and job incumbents...; 2004; Callegaro, M., Yang, Y., Bhola, D. S., Dillman, D. A.
- Electronic Voting Machines – A comparison applying the principles of computer-human interaction...; 2003; Callegaro, M., Peytcheva, E.