Web Survey Bibliography
Data collection is at the basis of quality in statistics. Technological developments make new data collection methods available, whereas others lose importance. While the Internet is already an established mode to collect data from businesses, only recently national statistical institutes have started considering web data collection for surveys among persons and households. At the moment several countries are developing Internet data collection for social surveys. There are two main reasons behind this innovation. The first is that Internet data collection is cheaper than traditional methods. The second reason is that many countries face decreasing response rates. Internet data collection could be helpful to stop this trend. A further reason, related to the last one, is that the public ask for it. An increasing number of persons have no problems participating in a survey as such, but do not like an interviewer at their door or on the telephone. They prefer to fill out the questionnaire when it is convenient for them. These drivers behind the development will probably gain strength in the near future, resulting in an acceleration of the process.
This discussion paper reflects on the possibilities to use web data collection for official statistics in household surveys and how this innovation process could be organised efficiently on EU level. The Labour Force Survey (LFS) is used as a case to illustrate challenges and potential pitfalls. It is a large scale survey with a high level of harmonisation among the Member States and therefore the potential cost savings are substantial. Furthermore, the LFS is already designed as a mixed mode survey in many countries; this allows the smooth introduction of a new data collection mode. And finally, the LFS plays a central role in the system of social statistics.
The paper focuses on the challenges ahead in official statistics regarding web data collection. At this stage, only major issues to address and organisational steps to be taken can be presented. It is still too early to give solid solutions or identify best practices.
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Web Survey Bibliography - Online qualitative research (771)
- Survey Interviewing: Deviations from the Script; 2012; Schaeffer, N. C.
- Specific mixed-mode methodology to reach sensory disabled people in quantitative surveys; 2012; Fontaine, S.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Facing The Future Webcams as a survey tool in China; 2012; Gordon, A., Llewellyn, T., Gu, E.
- Dimensions of Online Survey Data Quality What really matters?; 2012; Puleston, J., Eggers, M.
- Measuring Work Activities and Skill Requirements of Occupations: Experiences from a European Pilot Study...; 2012; Tijdens, K., De Ruijter, E., De Ruijter, J.
- An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic...; 2012; Fang, J., Wen, C., Prybutok, V.
- Using screen video capture software to aide and inform cognitive interviewing; 2012; Chaney, B. H., Barry, A. E., Chaney, J. D., Stellefson, M. L., Webb, M. C.
- E-Mail Surveys; 2012; Mesch, G.
- 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.