Web Survey Bibliography
Almost no literature exists on the effects of the topic of the questionnaires on panel participation. In this paper I will explore how the addition of “tailor-made questions” at the end of existing questionnaires will affect the evaluation of the questionnaire. The experiment will be embedded in the Dutch CentERdata LISS panel; a panel of 5.000 households that complete surveys every month.
The panel members were asked if they could name three topics they are most interested in. These topics are classified into about 40 categories. The experiment we will implement includes five versions. In the first version respondents will receive a set of questions at the end of the questionnaire about a topic they prefer. The second version will be equal to version one, except that the questions are about a topic they did not mention as one of their preferred topics. In the third version, the panel members will be presented 3 to 5 topics, selected from the list of 40 topics. These 3 topics include a topic the panel members mentioned as one they are interested in. Version four will be the same but there will not be any topics included that the panel members referred to as a topic they are interested in. The fifth version will be the control version; these panel members will evaluate the questionnaire without the tailored question part. In this experiment we will explore the effect of extra questions (about a topic the respondent is interested in) and the influence of the option to choose a topic from a list.
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.

