Web Survey Bibliography
Relevance & Research Question:
According to ESOMAR, online survey is already the most popular quantitative market research technique in the world (regarding research spending and number of interviews). The results of studies conducted via the Internet are frequently extrapolated to general populations and/or compared to results obtained by other modes. And thus the questions appear: Whether and in what circumstances could such generalisations be accurate, given limited coverage and systematic nonresponse error in online samples? Is the sole correction of socio-demographic quota enough to ensure results validity? If not, what other sample characteristics shall be controlled? Do the comparisons of online and offline results always make sense? How big is the impact of sampling effect and technique effect?
Methods & Data:
To answer the above questions we conducted a set of online and offline studies in 2009 and 2010. We paid a special attention to keeping different modes of measurements equivalent, according to timing, wording and look of the questions etc. We considered various research phenomena and various features for correction. The final study, which we will focus on here, took place in May 2010, in Poland. We gathered 3006 questionnaires from personal interviews, 5485 from online on-site recruitment and 6399 from online AccessPanel were gathered. The comparisons comprised of raw data results as well as of data weighed in various ways.
Demographic data correction makes online results better estimate some offline results, for some populations. However, just including additionally non-demographic characteristics put the modes differences within the bounds of a random error. Not all straight comparisons of online and offline results make sense. A technique and interviewer effects are for a range of phenomena not removable. We are going to show all the above in details during our speech.
The presentation will provide the audience with valuable insights of what needs to be known and controlled in online research to ensure high quality and validity of the results and when offline results can be a real reference to online. The topic shall be of interest not only for market researchers but also for academics.
GOR Homepage (abstract) / (full text)
Web Survey Bibliography (6797)
- Permission email messages significantly increase gambler retention; 2013; Jolley, W., Lee, A., Mizerski, R., Sadeque, S.
- How virtual corporate social responsibility dialogs generate value: A framework and propositions; 2013; Korschun, D., Du, S.
- Customer loyalty to a commercial website: Descriptive meta-analysis of the empirical literature and...; 2013; Toufaily, E., Ricard, L., Perrien, J.
- The moderating role of socio-semantic networks on online buzz diffusion; 2013; Lee, H., Lee, D. I., Kim, T., Kim, T., Lee, J.
- Discovering interest groups for marketing in virtual communities: An integrated approach; 2013; Wang, K. -Y., Wu, H. -J., Ting, I -H.
- “Translating” between survey answer formats; 2013; Dolnicar, S., Grün, B.
- Understanding service quality in a virtual travel community environment; 2013; Elliot, S., Li, G., Choi, C.
- Research note: E-store image, perceived value and perceived risk; 2013; Chang, E. -C., Tseng, Y. -F.
- Retail relationships in a digital age; 2013; Keeling, K., Keeling, D., McGoldrick, P.
- The Gamification of Marketing Researc; 2013; Donato, P., Link, M. W.
- Gamification Master Class; 2013; Puleston, J.
- Research Communities in Asia Pacific: A review of similarities and contrasts; 2013; Poynter, R.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Best of Both Worlds? Can we make convenience samples representative?; 2013; Doe, P.
- Multimode, Global Scale Usage: Understanding respondent scale usage across borders and devices; 2013; Pettit, F. A., Courtright, M.
- Why Big Data is a Small Idea…and Why You Shouldn’t Worry So Much; 2013; Needel, S.
- Advanced Research Methods Training in the UK: Current Provision and Future Strategies; 2013; Moley, S., Wiles, R., Sturgis, P.
- Doing real time research: Opportunities and challenges; 2013; Back, L., Lury, C., Zimmer, R.
- ‘Digital Methods as Mainstream Methodology’: Building capacity in the research community...; 2013; Roberts, S., Hine, C., Morey, Y., Snee, H., Watson, H.
- New social media, new social science?; 2013; Woodfield, K., Morrell, G.
- Digital technology and data collection; 2013; Henriksen, B., Jewitt, C., Price, S., Sakr, M.
- The impact of website content dimension and e-trust on e-marketing effectiveness: The case of Iranian...; 2013; Rahimnia, F., Farzaneh Hassanzadeh, J.
- Service with an e-smile: Employee authenticity and customer use of web-based support services; 2013; Turel, O., Connelly, C. E., Fisk, G. M.
- Survey Breakoffs in a Computer-Assisted Telephone Interview; 2013; McGonagle, K.
- Developing a New Mixed-Mode Methodology For a Provincial Park Camper Survey in British Columbia; 2013; Dyck, B. W.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.
- Exploring factors associated with respondent mode choice for surveys using mobile devices.; 2013; Walton, L.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- Comparative analysis of data from web and face-to-face surveys. A case study on e-commerce in young...; 2013; Cappello, C., Pellegrino, D.
- Insights into Action Profiling shopping occasions for retailers through mobile and online research; 2013; Churkina, O., Morris, T.
- Mobilizing your Branded Panel: Panel data quality during the smartphone transition; 2013; Kugel, C., Brien, D., Blechman, J.
- Evaluating the left‐right dimension: Category Selection Probing conducted in an online access...; 2013; Huefken , V.
- From Face‐to‐face to Web: Consequences for Measurement of Complex and Open‐ended Questions...; 2013; Villar, A., Fitzgerald, R., Martin, P., Harrison, E., Gatrrell, L.
- Computers, Tablet & Smart Phones: The Truth about Web‐based Surveys; 2013; Merle, P., Gearhart, S., Craig, C., Rahimi, M., Brooks, M. E., Vandyke, M.
- Explaining Interview Duration in Web Surveys on Political Attitudes and Behavior: A Multilevel Approach...; 2013; Gummer, T., Rossmann, J.
- An Examination of the Relationship Between Pretest Method Results and Data Quality; 2013; Maitland, A.
- Associations Between Interactional Indicators of Problematic Questions and Systems for Coding Question...; 2013; Dykema, J., Schaeffer, N. C., Garbarski, D.
- The Technology Behind Mobile Research: Browsers vs. Apps ; 2013; Macer, T.
- Methodological, legal and technical perspectives on the feasibility of web survey paradata in German...; 2013; Sattelberger, S.
- Specific mixed-mode methodologies to include sensory disabled people in quantitative surveys; 2013; Sebastien, F., Marc, J., Patrick, I.
- An imputation approach for analyzing mixed-mode surveys; 2013; Kim, J. K., Park, S., Kim, S. Y.
- Investigating the Bias of Alternative Statistical Inference Methods in Sequential Mixed-Mode Surveys; 2013; Suzer-Gurtekin, Z., Heeringa, S. G., Valliant, R. L.
- Random versus Systematic Error in a Mixed Mode Online-Telephone Survey; 2013; Hox, J., Scherpenzeel, A., Boeve, A., Boeve, A., de Leeuw, E. D.
- Impact of mode design on reliability in longitudinal data; 2013; Cernat, A.
- Online Survey Participation via Mobile Devices: implications for nonresponse; 2013; Poggio, T., Bosnjak, M.
- Mobility and Smartphones: a pilot study of travel data collection among experienced and inexperienced...; 2013; Douhou, S., Scherpenzeel, A.
- Mobile devices a way to recruit hard-to-reach groups? Results from a pilot study comparing desk top...; 2013; Toepoel, V., Lugtig, P. J.
- The Relation of Survey Topic and Participation Behavior. Analyzing Unit Nonresponse using web-generated...; 2013; Zillmann, D., Schmitz, A., Blossfeld, H. P.
- The Attention Span of a Goldfish: Impacts of Survey Mobilization on Respondents ; 2013; Luck, K.