Web Survey Bibliography
In order to examine the extent of how users of online self-help groups gain personal profit by getting involved, the construct of perceived virtual social support is well established. Diverse strategies of measuring have been developed in the past (e. g. Turner et al. 2001; Winzelberg et al. 2000; Wright 1999), but a reliable scale, which considers different dimensions of virtual social support has not been published yet. This was the scope of the present study carried out in a broad range of different German online health self-help groups.
Method: Based on past research, especially qualitative studies categorizing dimensions of helping mechanisms carried out in online self-help groups (particularly Finn, 1999; furthermore Braithwaite et al., 1999; Cutrona/Suhr, 1992) 130 items were constructed to be answered on a six-point Likert scale ranging from “Totally agree” to “Totally disagree”.
Information about the web survey was posted in a sample of online self-help group consisting of 10 electronic mailing lists, 34 bulletin boards and one website offering a chat only. The online survey was reached 3051 times being online 81 days. After data cleansing excluding multiple submissions, drop-outs and data with bad quality (identified by a self-developed quality variable based on the mean time of answering of every site) data of 757 publicly posting participants remained for further analyses.
Results: Multiple principal component analyses were processed and led to a three-factor solution including 22 items. The emerging scale has a very good reliability with a Cronbach’s Alpha of .90 for the perceived virtual social support scale. Subscales are:
- Face-to-Face support (8 items, α=.87)
- Vicarious virtual support (7 items, α=.85)
- Emotional virtual support (7 items, α=.83)
Further details of the scale and findings within the study are presented.
Conclusion: Based on this scale future research in the field of online self-help groups is able to measure perceived virtual social support in a reliable and differentiated way and may thus help getting to know more about effects and influences on the benefit of using virtual support groups.
Conference homepage (abstract)
Web Survey Bibliography - Social networks (131)
- Customer satisfaction in Web 2.0 and information technology development; 2013; Sharma, G., Baoku, L.
- Online Survey on Twitter: A Urological Experience; 2013; Dal Moro, F.
- Social media data demands a marriage of high-tech and high-touch; 2013; Waldheim, C., Stevens, N.
- Conceptualising and evaluating experiences with brands on Facebook; 2013; Smith, S.
- The moderating role of socio-semantic networks on online buzz diffusion; 2013; Lee, H., Lee, D. I., Kim, T., Kim, T., Lee, J.
- Discovering interest groups for marketing in virtual communities: An integrated approach; 2013; Wang, K. -Y., Wu, H. -J., Ting, I -H.
- New social media, new social science?; 2013; Woodfield, K., Morrell, G.
- Cultural Challenges in Online Survey Data Collection; 2013; Baron, N. S.
- Cognitive Interviewing in Online Modes: a Comparison of Data Collected in Second Life and Skype; 2013; Swicegood, J. E., Head, B., Dean, E., Keating, M.
- Comparisons of Online Recruitment Strategies: Craigslist, Facebook, Google Ads and Amazon’s Mechanical...; 2013; Antoun, C., Zhang, C., Conrad, F. G., Schober, M. F.
- Social Network Analysis and Survey Response: How Facebook Data Can Supplement Survey Data; 2013; Sage, A.
- The Use of Email, Text Messages, and Facebook to Increase Response Rates Among Adolescents in a Longitudinal...; 2013; Fleeman, A., Francis, K., Henderson, T., Woodford, M., Jani, M.
- Sampling, Channels, and Contact Strategies in Internet Survey; 2013; Macrì, E., Tessitore, C.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Sampling online communities: using triplets as basis for a (semi-) automated hyperlink web crawler.; 2013; Veny, Y.
- Use of a Social Networking Web Site for Recruiting Canadian Youth for Medical Research; 2013; Chu, J. L., Snider, C. E.
- '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 integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Social media as a data collection tool: the impact of Facebook in behavioural research; 2012; Zoppos, E.
- Snowball Sampling in Online Social Networks; 2012; Raissi, M., Ackland, R.
- The Use of Facebook as a Locating and Contacting Tool; 2012; McCarthy, T.
- Efficacy of a health-related Facebook social network site on health-seeking behaviors; 2012; Woolley, P., Peterson, M.
- Use of Web 2.0 to Recruit Australian Gay Men to an Online HIV/AIDS Survey; 2012; Theriault, N., Bi, P., Hiller, J. E., Nor, M.
- The use of new technologies on the British Birth Cohort Studies; 2012; Calderwood, L.
- Reliable Online Social Network Data Collection; 2012; Abdesslem, F. B., Parris, I., Henderson, T.
- Statisticians don’t like non-probability; 2012; Murphy, J.
- Comments on Using Facebook as a Sampling Frame for Surveys; 2012; Peytchev, A.
- Diasporas on the web: new networks, new methodologies; 2012; Crush, J., Eberhardt, C., Caesar, M., Chikanda, A., Pendleton, W., Hill, A.
- Not by the Book: Facebook as a Sampling Frame; 2012; Brickman Bhutta, C.
- Research design for studying online communities with web surveys; 2012; Petrovcic, A., Petric, G., Lozar Manfreda, K.
- Comfortable in the new medium: How online qual can benefit from our share-happy culture ; 2012; Rubenstein, P.
- The Effectiveness of Survey Recruitment Methods in Second Life; 2012; Dean, E., Cook, S., Murphy, J., Keating, M.
- Update Your Status Lately? – Then Why Not Respond to Our Survey!; 2012; Borie-Holtz, D.
- The Effect of Mode on Participant Responses to Qualitative Research in Virtual Worlds; 2012; Dipko, S., Billington, C., Brick, P. D.
- Opening Up Online: Social Networking and Online Survey Response Behaviors; 2012; Turner, S., Lackey, M., Irwin, N.
- Viability of Using Facebook to Increase Response Rates in an ABS Survey; 2012; Ruggiere, P., Sams, A., Niermann, A., Romero, E.
- Can Social Media Research replace traditional research methods?; 2012; Faber, T., Einhorn, M., Hofmann, O., Loeffler, M.
- Building online communities; 2011; Mlačić, B., Milas, G., Mikloušić, I.
- 2nd WEBDATANET Meeting Amsterdam. Global Data Collecting; 2011; van Beveren, I.
- Panel Recruitment via Facebook; 2011; Toepoel, V.
- New data sources for statistics: Experiences at Statistics Netherlands; 2011; Daas, P., ten Bosch, O., de Blois, C., Hoekstra, R., Roos, M.
- The Battle For Business Data: New Technologies Critical To Researchers' Arsenal; 2011; Anderson, J.
- Optimum Blending of Panels and Social Network Respondents; 2011; Gittelman, S. H., Portner, A.
- Seeking the right blend: Part II: What happens when you mix panel respondents and social network respondents...; 2011; Gittelman, S. H., Portner, A.
- Seeking the right blend: Part I: What happens when you mix panel respondents and social network respondents...; 2011; Gittelman, S. H., Portner, A.
- Web Survey Process within the Concept of eSocial Sciences; 2011; Vehovar, V.
- LinkedIn and Facebook in Belgium: The Influences and Biases of Social Network Sites in Recruitment and...; 2011; Caers, R., Castelyns, V.
- Researching Personal Information on the Public Web - Methods and Ethics; 2011; Wilkinson, D., Thelwall, M.