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 - Standards, codes (445)
- Cleaving the Past Behind: A Comparison of Response Formats in the Measurement of Ethnic and Racial Origins...; 2011; Barlas, F. M., Thomas, R. K., Higgins, W. B.
- Visual Design and Usability of Filter and Follow-up Questions in a Web Survey.; 2011; Ramirez, C. M.
- Features of the Z-scoring method in graphical two-dimensional web surveys: the case of ZEF; 2011; Selkälä, A., Ronkainen, S., Alasaarela, E.
- Guidelines for easing parental fears regarding online research; 2011; Goldfarb Liss, P.
- Ethical Considerations in Internet Surveys; 2010; Singer, E., Couper, M. P.
- Weighting Strategy for Understanding Society; 2010; Lynn, P., Kaminska, O.
- Update on the ARF’s Quality Enhancement Process (QeP); 2010; Pettit, R.
- Codebook and explanatory note on the WageIndicator dataset ; 2010; Tijdens, K., van Zijl, S., Hughie-Williams, M., van Klaveren, M., Steinmetz, S.
- Modeling non-sampling errors and participation in Web surveys; 2010; Biffignandi, S.
- Perspectives on Web Survey Development: Views from Programmers, Content Specialists, and Survey Methodologists...; 2010; Downey, K.
- Archiving and Re-using Qualitative and Qualitative Longitudinal Data in Slovenia; 2010; Stebe, J., Hudales, J., Kragelj, B.
- Establishing a Qualitative Data Archive in Austria; 2010; Smioski, A.
- Methodological and Ethical Dilemmas of Archiving Qualitative Data; 2010; Kuula, A.
- Qualitative and Qualitative Longitudinal Resources in Europe; 2010; Bishop, L., Neale, B.
- The Ethics of Outsourcing Online Survey Research; 2010; Allen, P. J., Roberts, L. D.
- System and method of providing an online survey and summarizing survey response data; 2010; Ryan, C. J.
- Developing a Research Framework for Usability in Online Surveys: Human-Survey Interaction; 2010; Kaczmirek, L.
- Comparative effectiveness report: online survey tools; 2010; Gottliebson, D., Layton, N., Wilson, E.
- Choosing Between Telephone and Online for Survey Data Collection ; 2010; Baker, R. P.
- Using KnowledgePanel® to Improve the Sample Representativeness and Accuracy of Opt-in Panel Data...; 2010; Dennis, J. M., Peugh, J., Graham, P.
- Web-based macroseismic survey in Italy: method validation and results; 2010; Sbarra P., Tosi, P., De Rubeis, V.
- The ESRC Survey Resources Network - Opportunities for the advancement of survey methods; 2010; Lynn, P., Erens, B.
- Web-based versus paper-based data collection for the evaluation of teaching activity: empirical evidence...; 2010; Lalla, M., Ferrari, D.
- The Growth of Internet Research Methods and the Reluctant Sociologist; 2010; Farrell, D., Petersen, J. C.
- Advanced Methods for Conducting Online Behavioral Research; 2010; Gosling, S. D., J. J.Johnson, A. J.
- Online Travel Surveys and Response Patterns ; 2010; Pan, B.
- On possibilities and limitations of using self-anchoring scales in web surveys; 2010; Van Acker, F., Theuns, P.
- 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.
- Metadata-Driven Survey Design; 2009; Iverson, J.
- Methodological Tests On Online Research: Incidence Of Formal Aspects/Questionnaire Layout On The Results...; 2009; Schmutz, B., Lê Van Truoc, O.
- The Coverage Bias of Mobile Web Surveys Across European Countries ; 2009; Fuchs, M., Busse, B.
- Surveys in Sociology Research; 2009; Wienclaw, R. A.
- Building and managing an online panel with phpPanelAdmin; 2009; Goeritz, A.
- New techniques in online research: challenges for research ethics ; 2009; Eynon, R., Schroeder, M., Fry, J.
- Designing Effective Web Survey Forms; 2009; Mitchell, J.
- Web based macroseismic survey: fast information exchange and elaboration of seismic intensity effects...; 2009; De Rubeis, V., Sbarra P., Sorrentino, D., Tosi, P.
- Envisioning the Survey Interview of the Future ; 2009; Conrad, F. G., Schober, M. F.
- Metrics for panel contribution: a non probabilistic platform; 2009; Gittelmam, S. H., Trimarchi, E.
- Are telephone Surveys a dying bread. How declining response rates can be explained and resolved; 2009; Degen, M., Obermüller, A., Schielicke, A.-M.
- The potential of mobile research: Implications for the future and the role of industry standards; 2009; Nelson, L.
- 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.
- Reason analysis: an ambitious alternative for mixed‐mode survey design; 2009; Jeøábek, H.
- 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.
- New developments in survey methodology for official statistics; 2009; Bethlehem, J.
- Improving Response Rates in Online Business Surveys by Using CATI; 2009; Höglinger, M., Abraham, M., Arpagaus, J.
- Survey cooperation: response to initial and follow-up requests - Recent experiences from the recruitment...; 2009; Bartsch, S., Engel, U., Schnabel, C., Vehre, H.