Web Survey Bibliography
Title Web-Based Behavioral Surveillance Among Men Who Have Sex With Men: A Comparison of Online and Offline Samples in London, UK
Source Journal of Acquired Immune Deficiency Syndromes, 35, 4, pp. 421-426
Access date 19.10.2004
Abstract Objective: To compare the characteristics of men who have sex with men (MSM) surveyed online (through gay Internet chat rooms and profiles) and offline (in community venues) in London, UK. Methods: In February and March 2002, 879 MSM completed a self-administered pen-and-paper questionnaire distributed in central London gyms (offline sample). In May and June 2002, 1218 London MSM completed a self-administered questionnaire online, accessed through Internet chat rooms and profiles on gaydar and gay.com. Results: Compared with men surveyed offline, those surveyed online were significantly less likely to only have sex with men (89 vs. 94%), to be in a relationship with a man (44 vs. 52%), or to have been tested for HIV (68 vs. 80%) (P < 0.001). Men recruited online were also younger (mean age, 34 vs. 36 years) and less likely to have had a higher education (67 vs. 79%) (P < 0.001). However, differences between online and offline samples were less pronounced for HIV-positive men and more pronounced for HIV-negative men and those who had never been tested for HIV. Regardless of HIV status, men recruited online were more likely to report high-risk sexual behavior (i.e., unprotected anal intercourse with a partner of unknown or discordant HIV status) than men surveyed offline (32 vs. 22%, P < 0.001). Men recruited online were also significantly more likely to have used the Internet to look for sex (85 vs. 45%, P < 0.001); for HIV-positive and negative men, seeking sex on the Internet was associated with high-risk sexual behavior (P < 0.01). In multivariate analysis, after controlling for confounding factors, being surveyed online was independently associated with high-risk sexual behavior for HIV-negative and never-tested men (HIV-negative men, adjusted odds ratio for online vs. offline samples, 1.73; 95% CI, 1.23, 2.42; P < 0.01; never-tested men adjusted odds ratio 2.45; 95% CI, 1.40, 4.29; P < 0.01). This was not the case for HIV-positive men (adjusted odds ratio for online vs. offline samples, 1.32; 95% CI, 0.69, 2.50; P = 0.4). Conclusion: The Internet offers valuable opportunities for conducting behavioral surveillance among MSM because it reaches some men who may not be easily accessed in the community yet who are at high risk for HIV and sexually transmitted diseases. Comparisons of the social, demographic, and behavioral characteristics of online and offline samples must, however, take into account the confounding effects of HIV status and seeking sex on the Internet.
Access/Direct link Homepage - journal (full text)
Bibliographic typeJournal article
Year of publication2004
Web Survey Bibliography - United Kingdom (395)
- Multiple modes in cross-national surveys – a good mix?; 2011; Fitzgerald, R., Martin, P.
- Assessing mode effects: implications of embedding a children's quality of life questionnaire within...; 2011; Lloyd, K.
- Survey Response via Mobile Phone: A Total Survey Error Perspective; 2011; Kaminska, O., Lynn, P.
- Usability testing of market research questionnaires; 2011; Coombe, R., Jarrett, C., Johnson, A.
- Applying maximum entropy weighting to on line panel data collection; 2011; Bianchi, A., Biffignandi, S., Hartmann, E., Sekhon, J.
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- Indicators for Monitoring and Improving Representativeness of Response; 2011; Schouten, B., Shlomo, N., Skinner, C.
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- The effect of the internet on researcher motivations, behaviour and attitudes; 2011; Mulligan, A., Mabe, M.
- Online qualitative approaches: an appraisal; 2011; Parker, K.
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- Mobile Experience Sampling: Reaching the Parts of Facebook Other Methods Cannot Reach; 2010; Abdesslem, F. B., Parris, I., Henderson, T.
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- Qualitative and Qualitative Longitudinal Resources in Europe; 2010; Bishop, L., Neale, B.
- Mobile Research: New Platform, New Thinking ; 2010; Johnson, A. J., Conry, S.
- Managing Quality in Large Multi-Country / Multi-Category / Multi-Modal Studies; 2010; Thompson, J.
- Mobile Research – The future’s in their hands: Exploring the Application of Digital Research...; 2010; Dodgson, S.
- Conditioning Effects in Online Communities; 2010; Cape, P. J.
- Kids' Life and Times: Using the Internet to Give Children a Voice; 2010; Lloyd, K.
- Thoughts on the rise and future of online research ; 2010; Day, D.
- Trial by Ordeal, a medieval approach to a modern day problem; 2010; Cape, P., Cavallaro, K.
- Developing a Research Framework for Usability in Online Surveys: Human-Survey Interaction; 2010; Kaczmirek, L.
- A Study Of Technology Adoption By Researchers: Web and e-science infrastructures to enhance research...; 2010; Pearce, N.
- Using the Internet to Give Children a Voice: An Online Survey of 10-and 11-Year-Old Children in Northern...; 2010; Lloyd, K., Devine, P.
- The ESRC Survey Resources Network - Opportunities for the advancement of survey methods; 2010; Lynn, P., Erens, B.
- The use of web questionnaires in second language acquisition and bilingualism research; 2010; Wilson, R., Dewaele, J. M.
- A mixed-mode approach to data collection: combining web and paper questionnaires to examine nurses...; 2010; Guise, V., Chambers, M., Välimäki, M., Makkonen, P.
- Use of an online questionnaire for follow-up of young female students recruited to a randomised controlled...; 2010; Atherton, H., Oakeshott, P., Aghaizu, A., Hay, P., Kerry, S.
- Effects of a Financial Incentive on Health Researchers’ Response to an Online Survey: a Randomized...; 2010; Wilson, P. M., Petticrew, M., Calnan, M., Nazareth, I.
- Innovations in Social Science Research Methods; 2009; Xenitidou, M., Gilbert, N.
- MarketTools TrueSample; 2009
- Sample Design for Understanding Society ; 2009; Lynn, P.
- The Use of Online Methodologies in Data Collection for Gambling and Gaming Addictions; 2009; Griffiths, M. D.
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- A Structured Approach For Reducing Bias In Surveys Using Online Access Panels ; 2009; Farrer, N., Dayan, Y.
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