Web Survey Bibliography
(a) Relevance & Research Question: The proposed paper builds on findings presented by the authors at the GOR 10. High drop-out rates are considered a major shortcoming of web surveys and considerably threaten data quality. However, despite growing scholarly attention the knowledge on survey drop-out is still fractional. Previous research mainly addresses the impact of survey design, question wording, and characteristics of the respondents on survey drop-out via ex-post statistical methods. The research presented here is innovative in that the respondents are asked directly about the reasons for dropping out, the interview situation, and psychological predispositions in a follow-up survey.
(b) Methods & Data: Based on our previous research regarding survey drop-out, the principal investigators of the GLES granted funding for a series of short follow-up surveys of drops-outs. These surveys will be conducted subsequently to three consecutive online trackings of the GLES, beginning in December 2010. According to experience, a gross sample size of about 400 drop-outs per survey can be expected. Given an estimated response rate of 60 percent a net sample size of 210 to 240 per tracking is anticipated, thus providing a unique database of more than 600 interviews with drop-outs. Since the most essential items are also included in the tracking surveys, the design allows for comparisons between drop-outs and complete responders. Due to the explorative character of the research, the presentation will mainly focus on descriptive statistics as well as multivariate models illustrating our major findings.
(c) Results: First results will be available by mid-January 2011.
(d) Added Value: Follow-up surveys of respondents who dropped-out allow for an enhanced understanding of the complex processes underlying the phenomenon, especially with respect to the subjective reasons of the respondents as well as the situational influences and psychological predispositions, which cannot be studied applying ex-post statistical procedures. In this regard, our research will add to the knowledge on the reasons for drop-out in web surveys and amend both the theoretical explanations of and the prospects for reducing drop-outs.
Conference Homepage (abstract) / (presentation)
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.