Web Survey Bibliography
Relevance & Research Question: Profile data in online panels consists mainly of self-disclosure data by the panelists. Unfortunately there are some general problems with self-disclosure data, e.g. data quality (Are you willing to provide information with high quality?), the identification of special target groups (Are you a LOHAS / Early Adopter?) or specific response behaviour (Are you always one of the first panelist who react to our invitations?) This contribution deals with the question, which simple metrics could be used to profile externally the panelists and what's the impact of these additional profile data on sampling.
Methods & Data: In a first exploratory study, we collected a variety of data for response behavior, data quality and special target groups. Based on this data we developed a short profiling questionnaire to predict the panelists response behavior. In a second study we evaluated the accuracy of our profiling method, comparing the response behavior of profiled and not-profiled panelists.
Results: In general, the additional profile data can be used to identify panelists better according to the specific requirements in studies, especially the recruitment for qualitative online studies, where the willingness to provide information voluntarily is crucial.
Added Value: Profiling in online panels usually only aims at the information itself and not at the performance when giving the information. With our contribution we'd like to show, that profile data can also be used for sampling, when studies have special requirements on response behavior. By that, it's possible to improve data quality. None of the less, we don't want to discuss only the possibilities of this method, but also its limits in our experience.
Conference Homepage (abstract)
Web survey bibliography (4086)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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, Ti.
- 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.
- 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.
- "But This is My Cell Phone!": A Qualitative Look at Practical Techniques for Gaining the...; 2011; George, J., Balok, T., Frasier, A. M.
- Developing and Implementing Adaptive Total Design (ATD); 2011; Carley-Baxter, L. R., Mitchell, S., Peytchev, A., Day, O.
- Three Era's of Survey Research; 2011; Groves, R. M.
- Creating Effective Designs for Mixed-Mode Surveys; 2011; Dillman, D. A.
- Research on Internet survey errors and control methods; 2011; Mingyue, F., Xicang, Z.
- Lösungsansätze gegen den Allgemeinarztmangel auf dem Land - Ergebnisse einer Online-Befragung unter Ä...; 2011; Steinhäuser, J., Annan, N. F., Roos, M., Szecsenyi, J., Joos, S.
- Partnership-Driven Resources to Improve and Enhance Research (PRIMER): A Survey of Community-Engaged...; 2011; Dolor, R. J., Greene, S. M., Thompson, E., Baldwin, L.-M., Neale, A. V.
- Question Comprehensibility and Satisficing Behavior in Web Surveys; 2011; Lenzner, T.
- Examination of a ’Web Mode Effect’. An Experimental Comparison of Web and Paper Based Surveys...; 2011; Shamshiri-Petersen, D., Clement, S. L.
- Conceptualizing Trust in Digital Environments: Health-e Skepticism: Trust in the Age of the Internet; 2011; Harris, A., Wyatt, S., Kelly, S.
- Some Researchers Do, Some Researchers Don’t: Reflections on Interdisciplinarity and Digital Social...; 2011; Pangbourne, K., Philip, L., Pignotti, E., Edwards, P.
- Internet & Learning: A Decade of Transformation in Learning Practices; 2011; Haythornthwaite, C., Andrews, R., Jones, C., de Castell, S., Goodfellow, R., Jewitt, C., Barton, D.
- Social Science Research Methods in Internet Time; 2011; Karpf, D. A.
- Quantifying Open-Ended Responses: Results from an Online Advertising Tracking Survey; 2011; Jacobe, A., Brewer, L., Vakalia, F., Turner, S., Marsh, S. M.
- Quality of responses to an open-ended question on a mixed-mode survey; 2011; Gibson, J., Vakalia, F., Turner, S.
- Open-ended questions in the context of temporary work research; 2011; Siponen, K.
- How do Respondents Perceive a Questionnaire? The Contribution of Open-ended Questions; 2011; Markou, E., Garnier, B.
- The Uses of Open-Ended Questions in Quantitative Surveys; 2011; Singer, E., Couper, M. P.
- Implementation, implementation, implementation: old and new options for putting surveys and experiments...; 2011; MacKerron, G.
- Weaving the Web into Personal Communication Networks: A Mobile Phone Based Study of Smartphone Users; 2011; Kobayashi, T., Boase, J.
- Agree-Disagree Response Format versus Importance Judgment; 2011; Krebs, D.