Web Survey Bibliography
a) Relevance & Research Question:
Swiss based market and social research institute LINK and the University of Applied Sciences Northwestern Switzerland collaborated on a two year project to develop methods to measure and reduce the bias of surveys, accomplished with the LINK web-panel, the largest Swiss panel with random selection.
b) Methods & Data:
The bias shall be reduced by applying a weighting scheme based on propensity scores. The success depends mainly on the choice of covariates.
To determine which variables serve best to model the response propensity we have conducted an experimental survey. In a CATI survey, people were asked questions concerning psychological characteristics (Big Five Scale), about their set of values (Schwartz Scale), about the perceived costs and benefits from surveys and their internet behavior. Simultaneously, the CATI served as a recruitment interview for the web-panel.
After checking which of the willing CATI respondentsactually did react to their first online survey invitation, we developed a model to predict the response behavior. This model allowed us to boil down the set of possible explaining variables, to a few. These variables are the basis for calculating the propensity scores.
To allow a thorough study of the resulting estimators and their variances we conduct Monte-Carlo-simulations. Observed missing value mechanisms have been implemented and modified to compare estimations with propensity-score weighted data with the universe.
c) Results:
The experimental survey has been conducted so far and could be analyzed. The response behavior has been modeled and some crucial variables have been identified. We can show the explanatory power of the proposed scales. The next step is to start the simulations. First results are expected by the end of the year.
d) Added Value:
Our project is a comprehensive study about applying propensity scores as a method to reduce bias in a well established web panel. We are able to implement easy to use methods in every day web-panel research.
Conference Homepage (abstract)
Web survey bibliography (4086)
- Testing the Applicability of Respondent Driven Sampling as an Online Research Method to Sample Hidden...; 2010; Pajak, D.
- Seriousness Checks are Useful to Improve Data Validity in Online Research; 2010; Diedenhofen, D., Aust, F., Ullrich, S., Musch, J.
- Enrichment of Qualitative Research through Online Approaches: New Insights due to Online CoCreation...; 2010; Krischke-Ramaswamy, M., Knorr, H.
- Developing and Evaluating a Student Online Panel.; 2010; Stiglbauer, B., Gamsjäger, M., Gnambs, T., Batinic, B., Altrichter, H.
- Online Access Panels: A detailed look at different Ways of Entering, their Costs and Participation Behavior...; 2010; Führer, R., Keusch, F.
- Eye Tracking and Cognitive Interviewing: Steps to improve online questionnaires; 2010; Tries, S., Sattelberger, S.
- Trial by Ordeal, a medieval approach to a modern day problem; 2010; Cape, P., Cavallaro, K.
- How new engagement techniques and question approaches are revolutionizing online research data gathering...; 2010; Puleston, J.
- Social Networking Sites: New approaches for Online-Panels?; 2010; Drosdow, M., Geißler, H.
- The Impact of Visual and Functional Design Elements in Online Survey Research; 2010; Hammen, K.
- Theoretical model of context-sensitive mobile methods; 2010; Maxl, E.
- Can a professional questionnaire layout make up for a boring topic? The mediating role of topic interest...; 2010; Keusch, F., Mayerhofer, W., Jungreithmaier, S., Weilbuchner, N., Fuehrer, R., Kling, H.
- Using Propensity Score Weighting to Reduce Bias of a Swiss Market Research Web Panel; 2010; Wiegand, G., Jella, H., Beat, H., Stefan, L.
- Potentials and Constraints of Propensity Score Weighting to Improve Web Survey Quality; 2010; Steinmetz, S., Tijdens, K.
- Are well-selected panelists better respondents? Insights into the effect of a master screener on panel...; 2010; Irmer, C., Tress, F.
- Selection Bias in Web Surveys and the Use of Propensity Scores in Forecasting the Result of the 2009...; 2010; Musch, J., Ullrich, S., Diedenhofen, D.
- KnowledgePanel®: Processes & Procedures Contributing to Sample Representativeness & Tests for Self...; 2010; Dennis, J. M.
- A Comparison of Psychometric Properties Between Internet and Paper Versions of Two Depression Instruments...; 2010; Andersson, G., Engstroem, I., Hollaendare, F.
- Combining Link-Tracing Sampling and Cluster Sampling to Estimate Totals and Means of Hidden Human Populations...; 2010; Félix-Medina, M. H., Monjardin, P. E.
- Increasing Respondents' Use of Definitions in Web Surveys; 2010; Peytchev, A., Conrad, F. G., Couper, M. P., Tourangeau, R.
- Quality in Unimode and Mixed-Mode designs: A Multitrait-Multimethod approach; 2010; Revilla, M.
- Elaborate Item Count Questioning: Why Do People Underreport in Item Count Responses?; 2010; Hirai, Y., Tsuchiya, Ta.
- Some Notes on the Probability Space of Statistical Surveys; 2010; Petrakos, G.
- Use of a Web-based Questionnaire in the Black Women's Health Study; 2010; Boggs, D. A., Palmer, J. R., Rosenberg, L., Russell, C. W.
- Reaching Emergency Medical Services Providers: Is One Survey Mode Better than Another?; 2010; Schmuhl, P., Van Duker, H., Gurley, K. L., Webster, A., Olson, L. M.
- Web-based Questionnaires: The Future in Epidemiology?; 2010; van Gelder, M. M. H. J, Bretveld, R. W., Roeleveld, N.
- Statistical foundations of cell-phone surveys; 2010; Wolter, K., Smith, P., Blumberg, S. J.
- Epidemiologic Research and Web 2.0—the User-driven Web; 2010; Lee, B. K.
- Developing a Research Framework for Usability in Online Surveys: Human-Survey Interaction; 2010; Kaczmirek, L.
- Online Survey Research in the Work-Family Field: Basic Concepts and Definitions; 2010; Lambert, A. D.
- Choosing Between Telephone and Online for Survey Data Collection ; 2010; Baker, R. P.
- Results of Targeting Pre-Identified Minority, Unidentified Non-Internet and Vacant Homes in Two National...; 2010; DiSogra, C., Hendarwan, E.
- Using KnowledgePanel® to Improve the Sample Representativeness and Accuracy of Opt-in Panel Data...; 2010; Dennis, J. M., Peugh, J., Graham, P.
- Self-administered mobile surveys: Usability and (non)participation; 2010; Scherrer, S., Bosnjak, M.
- Web panels: Replacement technology for market research; 2010; Goeritz, A.
- Social desirability and self-reported health risk behaviors in web-based research: three longitudinal...; 2010; Crutzen, R., Goeritz, A.
- Security and Data Protection: Collection, Storage, Feedback in Internet Research; 2010; Thiele, O., Kaczmirek, L.
- Designing Web Surveys in Marketing Research: Does Use of Forced Answering Affect Completion Rates?; 2010; Albaum, G., Roster, C. A.,Wiley, J. B., Rossiter, J., Smith, S. M.
- Methoden der Online-Forschung; 2010; Welker, M., Wünsch, C.
- Online-Befragungen im Kontext von Lehrevaluationen – praktisch und unzuverlässig; 2010; Meinefeld, W.
- AAPOR Report on Online Panels; 2010; P., Blumberg, S. J., Brick, J. M., Rivers, D. et. al.Baker, R. P.
- The impact of incentives and interview methods on response quantity and quality in diary- and booklet...; 2010; Bonke, J., Fallesen, P.
- Multi-Mode and Method Experiment in a Study of Nurses; 2010; Friese, C. R., Lee, C. S., O'Brien, S., Crawford, S. D.
- An Experiment With an Employment Sector Question; 2010; Finno, A. A., Kohout, J.
- Lottery Incentives and Online Survey Response Rates; 2010; Preece, M. J., Johanson, G., Hitchcock, J.
- Color red in web-based knowledge testing; 2010; Gnambs, T., Batinic, B., Appel, Ma.
- A comparison of surveys using different modes of data collection; 2010; Revilla, M., Saris, W. E.
- Variations in Response Style Behavior by Response Scale Format in Attitude Research; 2010; Kieruj, N. D., Moors, G.
- Selection Bias in Web Surveys; 2010; Bethlehem, J.
- Using the Internet to Give Children a Voice: An Online Survey of 10-and 11-Year-Old Children in Northern...; 2010; Lloyd, K., Devine, P.