Web Survey Bibliography
Survey panels provide a useful mechanism for longitudinal measurement of within-person change and also can be cost effective compared to conducting another cross-sectional survey. However, because of sample losses that predictably occur, the panel sample can deteriorate in terms of representativeness or else the respondents themselves might change in their self-reports to survey questions as a direct consequence of their participation in the panel. This latter set of consequences constitutes panel conditioning. Not all panel conditioning lead to more error. Respondents might become better ―survey takers‖ in being able to report their true attitudes and opinions in answering survey questions (i.e., improved predictive reliability). Other consequences are less helpful, such as actual changes in attitudes, opinions, behavior, and knowledge that can be attributed to panel participation. In this paper, we‘ll accomplish two things. First, we will present a typology of panel conditioning. Second, we will show the results of multivariate regression tests that isolate the impact of prior survey taking on survey responses. We have identified certain political knowledge questions for which there is evidence of limited panel conditioning effects (i.e., more panel experience, more knowledge), while a host of opinion and attitude items did not have such effects. The data source will be the 2008 Associated Press-Yahoo! News Poll conducted by Knowledge Networks with contributions from political scientists at Harvard University and Stanford University. The study involved an eleven-wave web panel election survey of general population U.S. adults. The baseline data collection occurred prior to the onset of the political primaries (November 2007) and the final data collection took place after the November 2008 general election.
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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.

