Web Survey Bibliography
Title Mobile Phone Surveys: The Slovenian Case Study
Author Vehovar, V., Belak, E., Batagelj, Z., Cikic, S.
Source Advances in methodology and statistics (Metodološki zvezki), 1, 1, pp.1-19, 2004
Year 2004
Access date 08.11.2004
Full text pdf (107k)
Abstract In 2004, the number of mobile phone subscriptions in Slovenia reached the total number of inhabitants. Consequently, the fixed telephone coverage has started to decline; almost 10% of households are now available only over the mobile phone. With this, Slovenia positions itself as a typical EU country and can serve as a case study for issues related to mobile phone interview surveys. The paper addresses the general context of mobile phone usage and the calculations of mobile phone coverage rates. It also discusses the non-coverage problems related to mobile and mobile-only households. It is shown, that even with a relatively small non-coverage the corresponding estimates can be considerably biased, as in the case of the unemployment rate in the Slovenian Labour Force Survey. There are severe methodological problems with mobile phone interview surveys. In particular, a pilot mobile phone survey confirmed the disadvantages of costs, frames and response rates, at least when compared to fixed telephone surveys. In addition, the response rates are dramatically lower for less intensive mobile phone users. The comparisons of respondents in mobile phone surveys with the corresponding sub-samples in Labour Force Surveys and in fixed telephone surveys revealed some specific discrepancies in the socio-demographic structure. Due to non-coverage, the respondents in the mobile phone survey tend to be younger, higher educated, from larger households and are represented by a larger share of males. The non-response mechanism can additionally reinforce these effects (e.g gender), however it can also cancel them (e.g. age, household size). Special complexity arises from the diverse effects of the non-response components (refusal vs. non-contact). According to their attitudes towards mobile phone use, mobile phone users compose three distinct segments (intensive pragmatic and emotional users, less intensive users) that may behave differentially also during the mobile phone survey process.
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Year of publication2004
Bibliographic typeJournal article
Web Survey Bibliography - 2004 (512)
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- Collecting Data on Ego-Centered Social Networks on the Web: Methodological Issues; 2004; Lozar Manfreda, K., Koren, G., Vehovar, V., Hlebec, V.
- Effects of Immediate versus Delayed Notification of Prize Draw Results and Announced Survey Duration...; 2004; Tuten, T. L., Galesic, M., Bosnjak, M.
- A Comparison of Lab-Based and On-Site Usability Testing; 2004; Dean, E.
- To Do or Not to Do?: A Comparison of Behavioral Intention Measures; 2004; Thomas, R. K., Behnke, C. S., Johnson, A. M.
- Item Non-response: Don't Know about Mandatory Responses?; 2004; Thomas, R. K., Johnson, A. M., Behnke, C. S.
- A Global Study of Knowledge Workers: Using the Internet, Dealing with Cultural Variation, and Commercial...; 2004; Day, R., Ross, J.
- Cognitive Interviewing and the Use of Visual Design Principles: A Case Study; 2004; Stettler, K., Nguyen, T.
- Is the American Public as Informed about Science as They Say They Are?; 2004; Gentry, R. J.
- Effects of Mode of Interview, and moderating variables on Erectile and Ejaculatory Function Measures; 2004; Catania, J.A., Rosen, R. J., Wood Johnson, R., Jacobs, S., Sallis, J., Shpilsky, A.
- CASI Supplemental Survey Nonresponse; 2004; Kim, J., Smith, T. W., Kim, S., Kang, J.-H., Berktold, J.
- The Effects of Correcting for Sample Selection Bias in Internet Panel Surveys Based on Random Digit...; 2004; Cameron, T. A., de Shazo, J. R., Dennis, J. M., Lee, R. J.
- Moving BRFSS from RDD to Multimode: A Web/Mail/Telephone Experiment; 2004; Mokdad, A., Link, M. W.
- Web Survey Design and Implementation - SOLD OUT; 2004; Couper, M. P.
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- Adjusting Responses in a Nonprobability Web Panel Survey by the Propensity Score-weighting; 2004; Yoshimura, O.
- On the Variability of Estimates Based on Propensity-score-weighted Data from Web Panels; 2004; Forsman, G., Danielsson, S. , Isaksson, A.
- Propensity Score Matching as a Bias Correction Method for Internet-based Studies; 2004; Bremer, J., Terhanian, G., Strange, P.
- Attempting to Adjust for Selection Bias in Web Surveys with Propensity Scores: The Case of the Health...; 2004; Schonlau, M., Couper, M. P., Winter, J.
- Propensity Score Adjustment for Web Surveys; 2004; Lee, Sunghee
- Web, Mail, and Mixed-mode Data Collection in a Survey of Advanced Technology Program Applicants; 2004; Kerwin, J., Brick, P. D., Levin, K., Cantor, D., O'Brien, J., Campbell, S., Shipp, S., Wang, A.
- The Online Survey: Its Contributions and Potential Problems; 2004; McIntyre, K., Tomazic, T., Katz, B., Matsuo, H.
- The Net Effect: A Comparison of Internet vs. Mail Survey Respondents; 2004; Friedman, E. M., Clusen, N. A., Hartzell, M.
- Data Collection Mode Effects Controlling for Sample Origins in an Internet Panel Survey; 2004; Dennis, J. M., Chatt, C.
- Protocol for Converting Respondents form Touchtone to the Internet in the Current Employment Statistics...; 2004; Rosen, R. J., Harrell, L. J., Ballard, D., Wise, R., Gomes, T.
- Examinig Variety in Organizational Behavior Research: Psychological Differences Between Respondents...; 2004; Mestdagh, S., Buelens, M.
- Mobile Phone Surveys: The Slovenian Case Study; 2004; Vehovar, V., Belak, E., Batagelj, Z., Cikic, S.
- Raising response rates: What works?; 2004; Porter, S. R.
- The Internet: Marketing Researcher's Panacea or Pandora's Box?; 2004; Gurney, P.M., Chambers, E., Grant, L., Shah, S., Sullivan, M.
- Reading in Virutal Research Ethics; 2004; Anonymous
- Picture This! Exploring Visual Effects in Web Surveys; 2004; Couper, M. P., Tourangeau, R., Kenyon, K.
- Development of a Pain and Discomfort Module for Use with the WHOQOL-100; 2004; Mason, V. L., Skevington, S. M., Osborn, M.
- Virtual ethnography: A computer-based approach; 2004; Ardet, N., Thome, M.
- Developing automated e-survey and control tools: an application in industrial management; 2004; Scornavacca Jr., E., Becker, J.L., Barnes, S.
- Gathering faculty teaching evaluations by in-class and online surveys: their effects on response rates...; 2004; Dommeyer, C. J., Baum, P., Hanna, R.W., Chapman, K.S.
- Inquisite 6 Hits Market; 2004; Anonymous
- WebSurveyor Software Grants; 2004; Anonymous
- The web as an object of study; 2004; Schneider, S. M., Kirsten, F.
- Pushing at the boundaries of new media studies; 2004; Wakeford, N.
- The three ages of Internet studies: ten, five and zero years ago; 2004; Wellman, B.
- Internet/cybercuIture/ digital culture/new media/ fill-in-the-blank studies; 2004; Silver, D.
- Augmenting the BRFSS RDD Design with Mail and Web Modes: Results from a Multi-State Experiment; 2004; Roe, D., Jiles, R., Weiner, J., Mokdad, A., Link, M. W.
- Comparing Face to Face, Telephone, Paper Self-Administered, and Web Survey Measurement; 2004; Tortora, R. D., Groves, R. M., Peytcheva, E., Manchin, R.
- Comparison of Web, Mail, and Mixed-Mode Data Collection Methods in a Survey of R&D Funding; 2004; Brick, P. D., Kerwin, J., Levin, K., Cantor, D., O'Brien, J., Wang, A., Campbell, S., Shipp, S.
- Survey Mode Preferences of Business Respondents; 2004; Tarnai, J., Paxon, M. C.
- Respect Thy Respondent Part II: Good Manners for Web surveys; 2004; Featherston, F., Moy, L.
- Fast Timse and Simple Questions: The Effects of Age, Experience and Question Complexity on Web Survey...; 2004; Yan, T., Tourangeau, R.
- Race-of-Interviewer Effects: What Happens on the Web?; 2004; Krysan, M., Couper, M. P.
- How Visual Grouping Influences Answers To Internet Surveys; 2004; Smyth, J. D., Dillman, D. A., Christian, L. M., Stern, M. J.

