Web Survey Bibliography
Purpose – The electronic social media such as Twitter, Facebook, MySpace, etc. have become a major form of communication, and the expression of attitudes and opinions, for the general public. Recently, they have also become a source of data for market researchers. This paper aims to provide a critical look at the advantages and limitations of such an approach to understanding brand perceptions and attitudes in the market place. Although the social media provide a wealth of data for automated content analyses, this review questions the validity and reliability of this research approach, and concludes that social media monitoring (SMM) is a poor substitute for in-depth qualitative research which has many advantages and benefits.
Design/methodology/approach – The paper presents a detailed, systematic comparison of various research approaches. These include well-established methods and recent inventions which are in use to explore and understand consumer behaviour and attitudes. Particular attention is given to the analysis of spontaneous consumer attitudes as expressed through the social media and also in qualitative research interviews.
Findings – This analysis concludes that there are three critical features which differentiate qualitative research (as practised in IDIs and group discussions) from SMM. These are: the direct, interactive dialogue or conversation between consumers and researchers; the facility to “listen” and attend to the (sometimes unspoken) underlying narrative which connects consumers' needs and aspirations, personal goals and driving forces to behaviour and brand choice; and the dynamic, interactive characteristics of the interview that achieve a meeting of minds to produce a shared understanding. Philosophically, it is this “conversation” that gives qualitative research its validity and authenticity which makes it superior to SMM.
Originality/value – This review questions the validity and reliability of the SMM, and concludes that it is a poor substitute for in-depth qualitative research which has many advantages and benefits.
Journal Homepage (abstract) / (full text)
Web Survey Bibliography - Online qualitative research (761)
- Does survey experience affect respondents’ reported level of satisfaction?; 2012; Schultz Christensen, A., Ladenburg, J.
- Evaluation of an online (opt-in) panel for public participation geographic information systems surveys...; 2012; Brown, G., Weber, D., Zanon, D., de Bie, K.
- Developing an Online GIS-based Survey Instrument to Elicit Perceived Neighborhood Information for Environmental...; 2012; Carr, J., Johnson, I., Keene, R., Landry, P., Gradeck, R., Lucht, J., Beach, S., Clougherty, J.
- Studying Migrants with the Help of the Internet: Methods from Psychology; 2012; Reips, U. -D., Buffardi, L.
- Panel Conditioning in Online Survey Panels: Problems of Increased Sophistication and Decreased Engagemeent...; 2012; Adams, A. N., Atkeson, L. R., Karp, J. A.
- Efficiency of Different Recruitment Strategies for Web Panels; 2012; Hansen, K. M., Pedersen, R. T.
- Improving Representativeness In Online Surveys Using A Combined Internet/Postal Approach: Evidence From...; 2012; Atorough, P., Donaldson, B., Harris, A.
- Surveying Rare Populations Using a Probabilitybased Online Panel; 2012; Peugh, J., Wright, G.
- Nonresponse and Online Student Evaluations of Teaching: Understanding the Influence of Salience...; 2012; Adams, M. J. D., Umbach, P. D.
- Innovation der Online-Datenerhebung für wissenschaftliche Forschungen. Das niederländische MESS-Projekt...; 2012; Das, M.
- Do Questions about Watching Internet Pornography Make People Watch Internet Pornography? A Comparison...; 2012; Peter, J., Valkenburg, P. M.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- Understanding Society Innovation Panel Wave 4: Results from Methodological Experiments; 2012; Burton, J., Budd, S., Gilbert, E., Jaeckle, A., Kaminska, O., Uhrig, S.C. N., Brown, M., Calderwood,...
- The Propensity of Older Respondents to Participate in a General Purpose Survey; 2012; Lynn, P.
- Mode-Switch Protocols: How a Seemingly Small Design Difference can affect Attrition Rates and Attrition...; 2012; Lynn, P.
- Deep Data: Qualitative Approaches to E-Research in the Digital Age; 2012; Salmons, J.
- Going online with a face-to-face household panel: Initial results from an experiment on the UK Household...; 2012; Jaeckle, A., Lynn, P., Burton, J.
- The use of new technologies on the British Birth Cohort Studies; 2012; Calderwood, L.
- Online Data Collection in the Agro-Food Sector; 2012; Biffignandi, S., Artaz, R.
- Reaching Under/Never Screened Populations Using an Online Survey; 2012; Filsinger, B., Gesink, D., Mihic, A., Kreiger, N.
- Comparing Ranking Techniques in Web Surveys; 2012; Blasius, J.
- Surveying general population: What types of experiments are further needed?; 2012; Vehovar, V., Berzelak, N.
- Psychometric properties of an internet administered version of the Marlowe-Crowne Social Desirability...; 2012; Vesteinsdottir, V., Reips, U. -D., Joinson, A. N., Porsdottir, F.
- Research design for studying online communities with web surveys; 2012; Petrovcic, A., Petric, G., Lozar Manfreda, K.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- Effect of different stimulus on data quality in online panels; 2012; Zagar, S., Lozar Manfreda, K.
- GESIS Online Access Panel Pilot Study: Recruitment and Panel Maintenance; 2012; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.
- The German Internet Panel: First Results from the Recruitment Phases; 2012; Blom, A. G.
- Panel retention rate and data quality: experimental results drawing on Reciprocity design; 2012; Biffignandi, S., Artaz, R.
- Analysis of coverage bias for the implementation of web surveys in Spain; 2012; de Pedraza, P., Serrano, F.
- Web panels in Slovenia; 2012; Lenar, J., Vehovar, V.
- Adaptation of Cognitive Interviews for Web; 2012; Mohorko, A., Hlebec, V.
- Database Lookup in Web Surveys; 2012; Couper, M. P., Zhang, C., Conrad, F. G., Tourangeau, R.
- Solving the Mode Mystery The Cost, Coverage and Quality Tradeoffs of Picking (and Mixing) Online and...; 2012; Cape, P. J., Phillips, K.
- A report on the Confirmit Market Research Software Survey ; 2012; Macer, T., Wilson, S.Wilson, Sheila
- A beginner's guide to DIY research ; 2012; Cates, T.
- Why "mobile" (as we know it) is the wrong focus ; 2012; Smithee, B.
- Qualitatively Speaking: Mobile qualitative finally hits its stride; 2012; Bryson, J.
- Comfortable in the new medium: How online qual can benefit from our share-happy culture ; 2012; Rubenstein, P.
- Don't rush through the qualitative screening process ; 2012; Dodson, D.
- Appreciating the value of traditional research in a digital world; 2012; Turner, S.
- Mixing old and new qualitative methods ; 2012; Kaisner, C., Lindley , K.
- For winning qualitative, make it high-touch + high-tech; 2012; Barber, E., McIlrath, M.
- Sample Survey on Sensitive Topics: Investigating Respondents’ Understanding and Trust in Alternative...; 2012; De Schrijver, A.
- Preventative care to extend panelist’s lifetime: A driver analysis on panelist engagement; 2012; Johnson, E. P., Schiers, J.
- Consistency in Global Non-Probabilistic Online Samples; 2012; Gittelman, S. H., Trimarchi, E.
- How Online Technology May Open The Door to More Integrated Qual/Quant Research; 2012; Brandt, D., Markowitz, L.
- Innovation in online data collection for scientific research: the Dutch MESS project; 2012; Das, M.
- Clinicians’ Perspectives on a Web-Based System for Routine Outcome Monitoring in Old-Age Psychiatry...; 2012; Veerbeek, M. A., Voshaar, R. C. O., Pot, A. M.
- The Effectiveness of Survey Recruitment Methods in Second Life; 2012; Dean, E., Cook, S., Murphy, J., Keating, M.

