Web Survey Bibliography
It has been acknowledged, that only probability-based online surveys can claim their results to be generalizable to the target population. In Germany a probability-based online access panel is organized by GESIS. Respondents are recruited by telephone (landline and mobile).
Such a recruitment strategy poses a problem in terms of non-response as there are several decisions to be made by potential panelists. They have to take part in the telephone interview, agree to become a member of the panel and fill in the online questionnaires. This multistep selection is a potential threat to the quality and generalizability of data collected online.
In this proposal we take a first step to assess the quality of the panel by comparing the data about online panelists with reference data about Internet users from the German General Social Survey (ALLBUS 2010).
We concentrate primarily on demographic characteristics, however some attitudinal measures are also considered. Respondents joining the panel may differ from ALLBUS Internet users since participation in the panel presupposes greater commitment opposed to one-time participation. Therefore, to assess the quality of the sample composition, the probability to participate in the online panel is studied for those who have agreed to a telephone interview. As a result, non-response error is estimated and the quality of the online panel can be assessed.
Conference Homepage (abstract)
Web Survey Bibliography - 2011 (567)
- Testing for measurement equivalence of human values across online and paper-and-pencil surveys; 2011; Davidov, E., Depner, F.
- Development of a Web-Based Survey for Monitoring Daily Health and its Application in an Epidemiological...; 2011; Sugiura, H., Ohkusa, Y., Akahane, M., Sano, T., Okabe, N., Imamura, T.
- Sampling v. Scale: An investigation the tension between convenience sampling, response rates, probability...; 2011; Garland, P.
- Effectiveness and consequences of various recruitment methods in psychological research: case study; 2011; Póltorak, M.
- Using Amazon's Mechanical Turk for the recruitment of participants in Internet-based research; 2011; Reips, U. -D., Buffardi, L., Kuhlmann, T.
- A new approach to the analysis of survey drop-out. Results from Follow-up Surveys in the German Longitudinal...; 2011; Rossmann, J., Blumenstiel, J. E., Steinbrecher, M.
- Tracking the decision-making process – Findings from an Online Rolling Cross-Section Panel Study...; 2011; Faas, T.
- Social desirability and self-reported health risk behaviors in web-based research: three longitudinal...; 2011; Crutzen, R., Goeritz, A.
- Slider Scales Causing Serious Problems With Less Educated Respondents; 2011; Funke, F., Reips, U. -D., Thomas, R. K.
- Should we use the progress bar in online surveys? A meta-analysis of experiments manipulating progress...; 2011; Callegaro, M., Yang, Y., Villar, A.
- From "Web Questions" to "Propensity Score Weighting": An Evaluation of Topics and...; 2011; Welker, M., Taddicken, M.
- Survey Says? A Primer on Web-Based Survey Design and Distribution; 2011; Oppenheimer, A. J., Pannucci, C. J., Kasten, S. J., Haase, S. C.
- Quota Controls: Science or merely Sciencey?; 2011; Cape, P. J.
- Rich Profiles – Or: What's the problem with self-disclosure data?; 2011; Tress, F.
- Who are leaving our panel: panel attrition and personality traits; 2011; Marchand, M.
- Mobile Research Apps – Adding New Capabilities to Market Research; 2011; Rieber, D.
- The influence of personality traits and motives for joining on participation behavior in online panels...; 2011; Keusch, F.
- Asking sensitive questions in a recruitment interview for an online panel: the income question; 2011; Schaurer, I., Struminskaya, B., Kaczmirek, L., Bandilla, W.
- Determinants of access-panel participation: Recent experiences from the recruitment of members for a...; 2011; Engel, U., Bartsch, S., Vehre, H.
- Speeders in Online Value Research: Cross-checking results of fast and slow respondents in two separate...; 2011; Beckers, T., Siegers, P., Kuntz, A.
- Effects of survey question clarity on data quality; 2011; Lenzner, T.
- Respondent Characteristics as Explanations for Uninformative Survey Response: Sources of Nondifferentiation...; 2011; Van Meurs, L., Klausch, L. T., Schoenbach, K.
- Recreation Participation and Conservation Attitudes: Differences Between Mail and Online Respondents...; 2011; Graefe, A., Mowen, A. J., Covelli, E.
- Improving online surveys; 2011; Puleston, J.
- Snap judgement polling; 2011; Anderson, K., Wright, M., Wheeler, M.
- Individual differences in motivation to participate in online panels; 2011; Bruggen, E., Wetzels, M., de Ruyter, K., Schillewaert, N.
- Data Use: A systematic method for checking online questionnaires; 2011; Arbittier, J.
- In the market for an online panel? What clients need to know; 2011; Hartmann, S.
- How Procter & Gamble worked to develop online data quality guidelines; 2011; Gloeckler, D.
- Understanding the pros and cons of mixed-mode research; 2011; Mora, M.
- Visiting item non-responses in internet survey data collection; 2011; Albaum, G., Roster, C. A., Smith, S. M., Wiley, J. B.
- Estimating nonresponse bias and mode effects in a mixed-mode survey; 2011; Lugtig, P. J., Lensvelt-Mulders, G. J., Frerichs, R., Greven, A.
- Can search engine advertising help access rare samples?; 2011; Nunan, D., Knox, S.
- Why Web-assisted TDIs are a cost-effective qualitative methodology ; 2011; Donnelly, T.
- Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method.; 2011; Andrews, L., Russell-Bennett, R., Drennan, J.
- Successful Prompting Methods on a Web-Based Survey; 2011; Venkataraman, L.
- Multi-Mode Survey Administration; 2011; Holder, T.
- Do’s and Don’ts of Developing Mixed Mode Surveys; 2011; Sanders, T.
- Mobile Survey Development Toolkit/Survey Framework; 2011; Rauch, M.
- Web based CATI on Amazon Elastic Compute Cloud and VirtualBox using queXS; 2011; Zammit, A.
- Survey Suite: Our "LOGIN & GO" Solution to Survey Research Needs; 2011; Lowden, M.
- Factors Influencing Response Rates in Mail Surveys and Reducing Costs; 2011; Schultz, M., Allen, T.
- A Dinosaur That Just Won't Die: A Return to Paper Surveys; 2011; Crandall, S., Crisafulli, T.
- Responses to Mail-Internet Mixed Mode Surveys: When Can we do Away with Paper Questionnaires?; 2011; Krebill-Prather, R.
- Web/Cloud Based CATI Using queXS; 2011; Zammit, A.
- When Referring to Mode, Is Expressed Preference the Same as Reality?; 2011; Denk, K.
- Developing Paradata Tools to Maximize Call Center Conversion Rates; 2011; Heinrich, T., Pittman, J., Abu, K.
- Incentives, Research-based Best Practices; 2011; Dykema, J.
- e-Collection at Statistics Canada; 2011; Faid, M.
- "But This is My Cell Phone!": A Qualitative Look at Practical Techniques for Gaining the...; 2011; George, J., Balok, T., Frasier, A. M.

