Web Survey Bibliography
This paper presents experience and evidence, from international sources, of the effects on survey quality of the use of mixed modes in data collection, where the web is used as one of the modes. It is recognised that this is an area which is changing fast as the spread of new technologies assist in widening the population who have access and familiarity with using the web. Surveys found to have used mixed modes (including web) were classified around the conventional schema in the literature; according to whether they used concurrent or sequential approaches in their mixed modes and according to whether they were longitudinal or cross-sectional data collections. In addition, surveys are divided according to whether they attempted to survey general populations or sub populations. Existing longitudinal data collection is of particular interest, and especially where data collection modes have changed at some point into the tracking of individuals. Relatively few longitudinal surveys were identified that had attempted to use the web in data collection and no analyses of the consequence of the mode of response on subsequent wave attrition were found. Many of the examples found focused on sub populations of students and young people, who might call the web-savvy populations. This review showed that experience and familiarity with carrying out mixed mode surveys that include the web have grown considerably over the first decade of the 21st century. For experience of surveying general populations, one needs to look to Scandinavian countries, especially the Netherlands. These countries have also been ahead of most others in their prevalence of households with access to the internet. The review of the literature on survey quality effects of mixed modes shows that use of sequential mixed modes, using the web first, followed by more expensive modes, can achieve response rates on a par with good response rates from high quality single mode studies. The different modes recruit samples with different characteristics. However, such approaches, in combining responses from different modes can also gain coverage of the general population that improves on single mode studies. The evidence from experiments also points out how to get the highest web responses at the first stage of a sequential mixed mode data collection series. This is by failing to mention that there are other mode options for the response. However, measurement errors, namely nonresponse errors and mode effects, are likely to be evident in the data collected. These mode effects are still being charted, and are seen to vary according to the type of question, the type of response codes and even the particular topic content; in some cases the mode effects are relatively minor and in other cases substantial. There is also a problem of confounding which is often present with non-response measurement errors or time effects for longitudinal data. There are well documented generalisations about the social desirability consequences and satisficing under different modes. Other research work is continuing to try and identify how to devise questions, by type, that will minimise mode effects. This involves painstaking attention often to the detail of individual questions. Most researchers think the unimode approach to mixed mode question construction is likely to dominate for some time yet, and UK survey fieldwork organisations also tend to adopt this approach.
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Web survey bibliography (4086)
- Inference in surveys with sequential mixed-mode data collection; 2011; Buelens, B., van der Brakel, J.
- Using a Probability-based Online Panel to Survey American Jews; 2011; Wright, G., Phillips, B. T., Tobias, J., Peugh, J., Semans, K.
- Choice of Content Presentation Mode in Web-Based Survey Administration; 2011; Osborn, L., Mansfield, W., Ramirez, C. M., Lacey, J. N., etc.
- Seasonal Yield Variation and Related Response Patterns in Address-based Mail Samples; 2011; DiSogra, C., Hendarwan, E.
- Gender-specific on-line shopping preferences; 2011; Ulbrich, F., Christensen, T., Stankus, L.
- Mixing modes in the LFS - Computer-assisted, cost effective and respondent friendly; 2011; Koerner, T., van der Valk, J.
- Peanuts and Monkeys: Incentivisation and engagement in online access panels; 2011; Marks, B.
- Establishing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys...; 2011; Braun, M., Behr, D., Kaczmirek, L.
- Methodological challenges in the use of the Internet for scientific research: Ten solutions and recommendations...; 2011; Reips, U.-D., Buchanan, T., Krantz, J. H., McGrawn, K.Reips, U.-D.
- Search and email still top the list of most popular online activities; 2011; Purcell, K.
- Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes; 2011; Lindhjem, H., Navrud, S.
- On the experience and evidence about mixing modes of data collection in large-scale surveys where the...; 2011; Dex, S., Gumy, J.
- Survey Gamification: Old Wine in New Bottles?; 2011; Baker, R. P.
- The Game Experiments: Researching how gaming techniques can be used to improve the quality of feedback...; 2011; Sleep, D., Puleston, J.
- Statistical Estimation of Word Acquisition With Application to Readability Prediction; 2011; Kidwell, P., Lebanon, G., Collins-Thompson, K.
- What is Probit; 2011
- Voice-of-the-customer marketing: A revolutionary 5-step process to create customers who care, spend,...; 2011; Roman, E.
- User agent; 2011
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- Toward wiser public judgment; 2011; Yankelovich, D., Friedman, W.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- The changing role of address-based sampling in survey research; 2011; Iannacchione, V. G.
- State of mobile measurement; 2011; Gluck, M.
- Some issues in the application of latent class models for questionnaire design; 2011; Biemer, P. P., Berzofsky, M.
- Self-administered mobile surveys; 2011; Bosnjak, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Ratings and audience measurement; 2011; Napoli, P. M.
- Randomized response models in survey sampling. Randomized response models; 2011; Hussain, Z.
- Online survey research: Findings, best practices, and future research. Report prepared for the Advertising...; 2011; Vannette, D.
- Online survey research: Findings, Best practices, and future research; 2011
- New Esomar survey on use of cookies and tracking technologies; 2011
- Mobile, webmail, desktops: Where are we viewing email now?; 2011
- Measuring americans' issue priorities. A new version of the most important problem question reveals...; 2011; Yeager, D. S., Larson, S. B., Krosnick, J. A., Tompson, T.
- Mass informed consent: Evidence on upgrading democracy with polls and new media; 2011; Simon, A. F.
- Latent class analysis of survey error; 2011; Biemer, P. P.
- Just published: Forrester Wave™ of enterprise feedback management satisfaction and loyalty solutions...; 2011; McInnes, A.
- ISER working paper 2011-31. Is it a good idea to optimise question format for mode of data collection...; 2011; Nicolaas, G., Campanelli, P., Hope, S., Jaeckle, A., Lynn, P.
- Involve while you evolve. How to make mobile research work for everyone; 2011; Luck, K.
- Internet access quarterly update 2011 Q1; 2011
- Households with Computers, Telephone Subscriptions, and Internet Access, Selected Years, 1997 - 2010; 2011
- Harvard research data security policy; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Google and Kantar develop measurement panel; 2011
- Going online with assessment; 2011; Burke, E., Mahoney-Phillips, J., Bowler, W., Downey, K.
- Global market research 2011; 2011
- Focus Group Methodology: Principle and Practice; 2011; Liamputtong, P.
- External preference mapping of commercial antiaging creams based on consumers' responses to a check...; 2011; Parente, M. E., Manzoni, A. V., Ares, G.
- Experiments for evaluating survey questions; 2011; Krosnick, J. A.
- Evaluating the usability of personal digital assistants to collect behavioral data on adolescents with...; 2011; McClamroch, K. J.
- Eurobarometer Special surveys: EB75.1 E-Communications Household Survey. Special Eurobarometer 362; 2011