Web Survey Bibliography
Relevance & Research Question: Web surveys of the general population are suspected to yield less representative samples than traditional survey modes for two major reasons. First, population coverage with internet access is incomplete in most countries. Second, response rates to Web surveys are generally lower than in traditional modes. Sequential mixed-mode strategies using personal (CAPI) or telephone (CATI) interviews have been suggested to cope with the presumed representativity problem. In this study we assess the underlying assumptions of this reasoning, i.e., first, whether a probability sample using Web for data collection is less representative than other modes and, second, whether CAPI or CATI possess properties that can compensate for bias when added in sequence to Web.
Methods & Data: We conducted an experiment based on a national probability sample of 8,800 persons in the context of the Dutch ‘Security Monitor’ survey. Persons were assigned to one out of four modes (Web, Mail, CATI, CAPI). Mailed invitations contained a link (Web), a questionnaire (Mail), or announced the contact by an interviewer (CAPI/CATI). After 4-8 weeks we approached every person again in a second wave, either by CAPI or CATI. We included questions on internet coverage in this wave. To assess representativity, background data was available from national registries.
Results: Though The Netherlands are a country of high internet coverage, the impact of under-coverage on representativity was strong (assessed by R-indicators). However, many of the coverage deficits were mitigated in the process of contact and cooperation. The final Web response sample was as representative as CAPI and even more representative than CATI and Mail. Mixing modes in sequence (i.e. Web followed by CAPI or CAPI+CATI) was not capable of compensating the deficits of Web beyond well-known net increases in response rates.
Added Value: Our results question two basic assumptions about Web surveys and mixed-mode designs. We suggest that Web surveys possess equally good or better response properties as traditional modes, if they are based on probability samples and population coverage with internet access is high. Also, from a representativity perspective, we did not find evidence in favour of using mixed-mode designs.
Conference Homepage (abstract) / (full text)
Web Survey Bibliography (6374)
- Rewards - Money for Nothing?; 2013; Cape, P. J., Martin, P.
- Effects of incentive reduction after a series of higher incentive waves in a probability-based online...; 2013; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- Timing of Nonparticipation in an Online Panel: The effect of incentive strategies; 2013; Douhou, S., Scherpenzeel, A.
- Mixed-mode including web: Recent developments at Statistics Netherlands; 2013; Luiten, A., Schouten, B.
- Web coverage in the UK and its potential impact on general population web surveys; 2013; Callegaro, M.
- Surveys on Mobile Devices: Opportunities and Challenges; 2013; Couper, M. P.
- Measurement effects in mixed-mode panel surveys; 2013; Lugtig, P. J.
- Life history calendars - a viable method for web-based data collection?; 2013; Glasner, T., van der Vaart, W.
- Measurement issues in web surveys: An overview of opportunities and challenges; 2013; Calderwood, L.
- Experiences from a probability-based Internet panel: Sample, recruitment and participation; 2013; Scherpenzeel, A.
- Participation and engagement in web surveys of the general population: An overview of challenges and...; 2013; Roberts, C.
- Using Web Survey Panels to Estimate Population Characteristics: A Comparison of Alternative Approaches...; 2013; Rivers, D.
- Online Research, Game On!; 2013; Puleston, J.
- The ONS Beyond 2011 Programme & possible implications for social surveys; 2013; Morris, L.
- Issues of Coverage and Sampling in Web Surveys for the General Population: An Overview; 2013; Lynn, P.
- Use of a Social Networking Web Site for Recruiting Canadian Youth for Medical Research; 2013; Chu, J. L., Snider, C. E.
- Comparison of web-based versus paper-and-pencil administration of a humor survey; 2013; Wang, C.-C., Cheng, C.-L.;, Liu, K.-S., Cheng, Y.-Y.
- The Design of Grids in Web Surveys; 2013; Couper, M. P., Tourangeau, R., Conrad, F. G., Zhang, C.
- The smartphone in survey research: experiments for time use data; 2013; Fernee, H., Scherpenzeel, A.
- Survey Research; 2013; Abbott, M. L., McKinney, J.
- Understanding and Applying Research Design; 2013; Abbott, M. L., McKinney, J.
- Large-Scale Analysis and Testing; 2013; Cao, M., Zhang, Q.
- The Science of Web Surveys; 2013; Tourangeau, R., Conrad, F. G., Couper, M. P.
- How to create online questionnaires: A beginner's guide to survey design for businesses and students...; 2013; Lipscomb, L.
- True experimental data collection on the Internet; 2013; Reips, U. -D., Krantz, J. H.
- Virtual Research Methods; 2013; Hine, C.
- Askito: An open source Web questionnaire tool; 2013; Reips, U. -D., Heilmann, T.
- Informed Consent for Web Paradata Use; 2013; Couper, M. P., Singer, E.
- Measurement invariance and quality of composite scores in a face-to-face and a web survey; 2013; Revilla, M.
- Exploring Response Differences between Face-to-Face and Web Surveys: A Qualitative Comparative Analysis...; 2013; Bennink, M., Moors, G., Gelissen, J.
- 'Ready to complete the survey on Facebook': Web 2.0 as a research tool in business studies; 2013; Gregori, A., Baltar, F.
- Surveying “difficult-to-sample” backpackers through Facebook? Employing a mixed-mode dual...; 2013; Morris Paris, C.
- The Use of Mixed Methods in Organizational Communication Research; 2013; Salem, P. J.
- The Use of E-Questionnaires in Organizational Surveys; 2013; Brender-Ilan, Y., Vinitzky, G.
- Online Instruments, Data Collection, and Electronic Measurements: Organizational Advancements; 2013; Bocarnea, M. C., Reynolds, R. A., Baker, J. D.
- Convenient yet not a convenience sample: Jury pools as experimental subject pools; 2013; Murray, G. R., Rugeley, C. R., Mitchell, D.-G., Mondak, J. J.
- The equivalence of Internet versus paper-based surveys in IT/IS adoption research in collectivistic...; 2013; Fang, J., Wen, C., Prybutok, V.
- Examining the Gender Effects of Different Incentive Amounts in a Web Survey; 2013; Boulianne, S. J.
- Online Survey Software; 2013; Baker, J. D.
- How Do Lotteries and Study Results Influence Response Behavior in Online Panels?; 2013; Goeritz, A., Luthe, S. C.
- Mode Effects in Free-list Elicitation: Comparing Oral, Written, and Web-based Data Collection; 2013; Gravlee, C. C., Bernard, H. R., R., Jacobsohn, A., R.Maxwell, C. R.
- Incentives for college student participation in web-based substance use surveys; 2013; Patrick, M. E., Singer, E., Boyd, C. J., Cranford, J. A., McCabe, S. E.
- The effect of short formative diagnostic web quizzes with minimal feedback; 2013; Baelter, O., Enstroem, E., Klingenberg, B.
- Increasing Web Survey Response Rates in Innovation Research: An Experimental Study of Static and Dynamic...; 2013; Sauermann, H.; Roach, M.
- Sample composition discrepancies in different stages of a probability-based online panel; 2013; Bosnjak, M., Haas, I., Galesic, M., Kaczmirek, L., Bandilla, W., Couper, M. P.
- Survey of Cloud Computing; 2013; Furht, B.
- A comparison of data quality and practicality of online versus postal questionnaires in a sample of...; 2013; King, M. T., Butow, P., Olver, I., Smith, A. B.
- Up Means Good: The Impact of Screen Position on Evaluative Ratings in Web Surveys.; 2013; Tourangeau, R., Conrad, F. G., Couper, M. P.
- Worldwide online research spending; 2012
- What we can learn from unintentional mobile respondents; 2012; Peterson, G.

