Web Survey Bibliography
The growth of online survey research over about the last 15 years has been truly remarkable. While estimates vary, most agree that online now accounts for somewhere between one third and one half of the total volume of survey data collection being done by US market research firms (See, for example, ESOMAR, 2009). Key to this growth has been the positioning of online as a faster and less expensive method capable of delivering the same or better survey results as traditional methods (telephone, mail, and in-person). Indeed, online often is the least expensive and fastest survey method for studying
a wide range of business problems, although this speed advantage is clearest when samples sizes are large and/or expected incidence is low. It is less certain that the survey results achieved are comparable to other methods, especially in those cases where one of the objectives is to accurately measure some characteristic, attitude, or behavior in a target population, whether it be a customer base, individuals with certain characteristics, or the general population.
This issue of accuracy is the main focus in this paper. In it we offer a framework for evaluating an online design versus a telephone design when a central goal of the research is to produce an accurate estimate of some personal characteristic,
attitude or behavior in a target population. In this context, accuracy means a survey result that is as close as possible to the “true value” in that population. We recognize that not all research has as its goal the development of accurate estimates of population values.
For example, in some instances directional measures may be sufficient. In others we might only want to test hypotheses about the interrelationships among characteristics, attitudes, and buying behavior. Under these and similar circumstances we might well use different criteria than described below to select a data collection method.
Market Strategies International (abstract) / (full text)
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.