Web Survey Bibliography
Theoretical background. Since approximately ten years, telephone surveys in Germany belong to the most frequently used survey modes in the social sciences, which is especially due to its low costs compared with e.g. face
‐to‐face surveys and its high flexibility concerning organization and conduct (ADM 2008). However, these advantages are increasingly opposed by declining response rates in academic as well as commercial surveys. Over time, response rates have steadily diminished, whereas different sources partly supply highly diverse figures: some report on response rates below 40 percent, some on rates around 70 percent (cf. Berinsky 2008, 309f; De Leeuw & De Heer 2002; Schnell, Hill & Esser 1999, 286ff.). The key explanations are non‐contact and refusals (Berinsky 2008, 310; Lavrakas 2008, 252). Our own surveys reveal that non‐contact as well as refusal rates rose within the last five years about 5‐10 percentage points, whereby the rates differ from survey to survey. While in September 2003 29 percent of all households could not be reached, in May 2008 that was the case regarding 44 percent of the households. And while in September 2003 31 percent of the interviewees refused, 43 percent did so in February 2008. Literature suggests numerous explanations for both phenomena. Non‐contact occurs e.g. because of increased mobility or the absence of a landline telephone in households (cf. Pew 2008). In Germany, around 5‐7 percent of the population do not have landline telephones but only cell phones (cf. Hunsicker & Schroth 2007). If this trend continues, telephone surveys on the basis of landlines cannot be regarded as being representative anymore. Refusals occur e.g. because of over‐surveying, insufficient trust in survey institutes or lack of time (vgl. Schnauber & Daschmann 2008). Against this background, the question arises whether telephone surveys are still feasible in the long run. First, it is possible that the non‐response is systematic and biases the survey results, which hence (as mentioned above) cannot be interpreted as being representative anymore (Schnauber & Daschmann 2008, 98). Second, the resolution of the problems or the change to another survey mode (e.g. inclusion of cell phones) would trigger high additional costs. Nevertheless, there are some approaches to meet these obstacles. By modifying e.g. the call time or the number of call attempts, the number of contacts could be improved. By altering the introductory phrases and by enhancing the professionalism of the interviewers, e.g. by extensive training, one could try to reduce refusal rates (cf. Meier, Schneid, Stegemann & Stiegler 2005). ‐term telephone surveys conducted at our department yield a huge data basis to answer the questions deduced above. On the one hand, we aim to analyze the difficulty of decreasing response rates and hence the decreasing quality of the surveys. On the other hand, we pursue the question as to whether the theoretically derived explanations for non‐contact and refusals can be confirmed by our empirical data. In summary, we try to answer the question as to whether telephone survey will still be feasible in the future or not.
Method and conduct. Long
Conference homepage (abstract)
Web Survey Bibliography - Other CASIC (544)
- Long-Term Efficacy of Sequential Mixed-Mode Designs on Response Rates and Cost in a Panel Survey; 2010; Levenstein, R. M., Barber, J. S., Gatny, H. H.
- Completing Web Surveys on Smart Phones; 2010; Dayton, J. J., Freedner, N., Hannah, K.
- Statistical foundations of cell-phone surveys; 2010; Wolter, K., Smith, P., Blumberg, S. J.
- Self-administered mobile surveys: Usability and (non)participation; 2010; Scherrer, S., Bosnjak, M.
- The impact of incentives and interview methods on response quantity and quality in diary- and booklet...; 2010; Bonke, J., Fallesen, P.
- Computer Literacy and the Accuracy of Substance Use Reporting in an ACASI Survey; 2010; Johnson, T. P., Fendrich, M., Mackesy-Amiti, M. E.
- A report on the 2009 Globalpark Market Research Software Survey; 2010; Macer, T., Wilson, S.
- Web-based versus paper-based data collection for the evaluation of teaching activity: empirical evidence...; 2010; Lalla, M., Ferrari, D.
- Understanding the Willingness to Participate in Mobile Surveys: Exploring the Role of Utilitarian, Affective...; 2010; Bosnjak, M., Metzger, G., Graef, L.
- Mode and Context Effects in Measuring Household Assets; 2010; van Soest, A., Kapteyn, A.
- Improving the response rate and quality in Web-based surveys through the personalization and frequency...; 2010; Muñoz-Leiva, F., Sánchez-Fernández, J., Montoro-Ríos, F. J., Ibáñez-Zapata, J. A.
- College Experiences Survey: Methodological Summary. Final Report; 2009; DesRoches, D., Hall, J. W., Santos, B.
- Cell Phone Mainly Households: Coverage and Reach for Telephone Surveys Using RDD Landline Samples; 2009; Boyle, J., Lewis, F., Tefft, B.
- Cell-Phone-Only Voters in the 2008 Exit Poll and Implications for Future Noncoverage Bias ; 2009; Mokrzycki, M., Keeter, S., Kennedy, C.
- 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.