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 (364)
- Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses; 2017; Mendelson, J.; Lee Gibson, J.; Romano Bergstrom, J. C.
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- Where, When, How and with What Do Panel Interviews Take Place and Is the Quality of Answers Affected...; 2017; Niebruegge, S.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Do distractions during web survey completion affect data quality? Findings from a laboratory experiment...; 2017; Wenz, A.
- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
- Comparing acquiescent and extreme response styles in face-to-face and web surveys; 2017; Liu, M.; Conrad, F. G.; Lee, S.
- Respondent mode choice in a smartphone survey ; 2017; Conrad, F. G., Schober, M. F., Antoun, C., Yan, H. Y., Hupp, A., Johnston, M., Ehlen, P., Vickers, L...
- Effects of Mobile versus PC Web on Survey Response Quality: a Crossover Experiment in a Probability...; 2017; Antoun, C.; Couper, M. P.; G. G.Conrad, F. G.
- Methods for Evaluating Respondent Attrition in Web-Based Surveys; 2016; Hochheimer, C. J.; Sabo, R. T.; Krist, A. H.; Day, T.; Cyrus, J.; Woolf, S. H.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Using official surveys to reduce bias of estimates from nonrandom samples collected by web surveys; 2016; Beresovsky, V.; Dorfman, A.; Rumcheva, P.
- Making use of Internet interactivity to propose a dynamic presentation of web questionnaires; 2016; Revilla, M.; Ochoa, C.; Turbina, A.
- Helping respondents provide good answers in Web surveys; 2016; Couper, M. P.; Zhang, C.
- Gamifying. Not all fun and games; 2016; Stubington, P.; Crichton, C.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Are sliders too slick for surveys?; 2016; Buskirk, T. D.
- Research gamification for quality pharmaceutical stakeholder insights; 2016; Mondry, B.; Fink, L.
- SurveyTester from Knowledge Navigators ; 2016; Macer, T.
- Simplifying your mobile solution; 2016; Berry, K.
- Effects of motivating question types with graphical support in multi channel design studies; 2016; Luetters, H.; Friedrich-Freksa, M.; Vitt, SGoldstein, D. G.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- Usability Testing within Agile Process; 2016; Holland, T.
- Association of Eye Tracking with Other Usability Metrics ; 2016; Olmsted, E. L.
- Cognitive Probing Methods in Usability Testing – Pros and Cons; 2016; Nichols, E. M.
- Thinking Inside the Box Visual Design of the Response Box Affects Creative Divergent Thinking in an...; 2016; Mohr, A. H.; Sell, A.; Lindsay, T.
- Distractions: The Incidence and Consequences of Interruptions for Survey Respondents ; 2016; Ansolabehere, S.; Schaffner, B. F.
- The Effect of CATI Questions, Respondents, and Interviewers on Response Time; 2016; Olson, K.; Smyth, J. D.
- New Generation of Online Questionnaires?; 2016; Revilla, M.; Ochoa, C.; Turbina, A.
- The Analysis of Respondent’s Behavior toward Edit Messages in a Web Survey; 2016; Park, Y.
- Effects of Data Collection Mode and Response Entry Device on Survey Response Quality; 2016; Ha, L.; Zhang, Che.; Jiang, W.
- Navigation Buttons in Web-Based Surveys: Respondents’ Preferences Revisited in the Laboratory; 2016; Romano Bergstrom, J. C.; Erdman, C.; Lakhe, S.
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices...; 2016; Toepoel, V.; Lugtig, P. J.
- A Technical Guide to Effective and Accessible web Surveys; 2016; Baatard, G.
- The Validity of Surveys: Online and Offline; 2016; Wiersma, W.
- Computer-assisted and online data collection in general population surveys; 2016; Skarupova, K.
- A Framework of Incorporating Thai Social Networking Data in Online Marketing Survey; 2016; Jiamthapthaksin, R.; Aung, T. H.; Ratanasawadwat, N.
- Creation and Usability Testing of a Web-Based Pre-Scanning Radiology Patient Safety and History Questionnaire...; 2016; Robinson, T. J.; DuVall, S.; Wiggins III, R
- Comprehension and engagement in survey interviews with virtual agents; 2016; Conrad, F. G.; Schober, M. F.; Jans, M.; Orlowski, R. A.; Nielsen, D.; Levenstein, R. M.
- Taming Big Data: Using App Technology to Study Organizational Behavior on Social Media; 2015; Bail, C. A.
- A Meta-Analysis of Breakoff Rates in Mobile Web Surveys; 2015; Mavletova, A. M.; Couper, M. P.
- Optimizing the Decennial Census for Mobile – A Case Study; 2015; Nichols, E. M.; Hawala, E. O.; Horwitz, R.; Bentley, M.
- Using Video to Reinvigorate the Open Question; 2015; Cape, P.
- Are Sliders Too Slick for Surveys? An Experiment Comparing Slider and Radio Button Scales for Smartphone...; 2015; Aadland, D.; Aalberg, T.
- Web Surveys Optimized for Smartphones: Are there Differences Between Computer and Smartphone Users?; 2015; Andreadis, I.
- Designing web surveys for the multi-device internet; 2015; de Bruijne, M.
- Data Quality Standards in Mixed Mode Surveys; 2015; Bremer, J.; Barbulescu, M.; Bennett, J.
- Changing from CAPI to CAWI in an ongoing household panel - experiences from the German Socio-Economic...; 2015; Schupp, J.; Sassenroth, D.
- Rating Scales in Web Surveys: A Test of New Drag-and-Drop Rating Procedures; 2015; Kunz, T.
- A Review of Issues in Gamified Surveys; 2015; Keusch, F.; Zhang, Che.