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 - General Online Research Conference (GOR) 2009 (54)
- Conducting Mobile Surveys: A Hands-on Introduction to an Innovative Research Mode; 2009; Pferdekämper, T., Melcher, T.
- Empirical Evaluation of Web Survey Software Tools: Powerful or Friendly?; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K., Horvat, T., Debevc, M.
- Qualitative Research via Internet: Asynchronous Online Discussions and the Use of WebCT; 2009; Giatsi Clausen, M., Nicol, M., Gill, J.
- Representativeness of Mobile Internet Surveys - A comparative study of CAMI vs. CATI ; 2009; Maier, U., Neubarth, W., Grosser, A., Hombach, A.
- The use of online data-collection in financial services market measurement research : the FRS experience...; 2009; Cooke, M., Watkins, N.
- Using flash type questions – stroke of luck or curse for data quality?; 2009; Laufer, S., Klapproth, U., Noll, S.
- Pause Mechanism in Complex Online Surveys; 2009; Milewski, J.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Generic or Project-Specific Mail? – The Influence of Invitations on Response Behaviour in the...; 2009; Schroll, S.
- Relevance Of Health-Related Online-Information In Offline- And Online-Samples; 2009; Stetina, B. U., McElheney, J., Lehenbauer, M., Hinterberger, E., Pintzinger, N., Kryspin-Exner, I.
- Data Collection online: Can do, must (not) do, Should do; 2009; Diesner, J., Gadeib, A., Lüttschwager, F., Sassinot-Uny, L.
- Three Different Designs of Type Ranking‐Questions; 2009; Sackl, A.
- Usability of Mobile Surveys; 2009; Tarkus, A.
- Gay and Lesbian People: The Use of Online Communication Services; 2009; Lehenbauer, M., Stetina, B. U., Kryspin-Exner, I.
- An Online Study on Coping with Anxiety and Disease-Specific Internet Use in Panic Attack Sufferers; 2009; König, D., Hiebler, C., Kryspin-Exner, I.
- Distortion of demographics through technically induced dropout in restricted online surveys; 2009; Voracek, M., Stieger, S., Goeritz, A.
- An Internet-based Study on Coping with Illness and Attitudes towards Online Health Care in Cancer Patients...; 2009; Setz, J., König, D., Kryspin-Exner, I.
- WebEXEC: A Short Self-Report Measure of Executive Function Suitable for Administration via the Internet...; 2009; Buchanan, T., Heffernan, T. M., Parrott, A. C., Ling, J., Rodgers, J., Scholey, A. B.
- Let's go formative: Continuous student ratings with Web 2.0 application Twitter; 2009; Burger, C., Stieger, S.
- Don't know and no opinion responses in Web surveys; 2009; Mechling, J., Baker, R. P., Couper, M. P.
- Mixed Methods in Online Research; Conceptualisation and Future Research Agenda; 2009; Koller, M., Sinitsa, E.
- Market Research Online and Offline - Differences in output and processing of Qualitative Online and...; 2009; Knorr, H., Krischke-Ramaswamy, M.
- Informal Learning in Virtual Communities. Individual Practice between Information Retrieval, Observation...; 2009; Kahnwald, N.
- Self-Efficacy Of Online Health Seekers; 2009; Stetina, B. U., Schramel, C., Lehenbauer, M., Schawill, W., Kryspin-Exner, I.
- Volumetric Forecast based on Online Access Panels; 2009; Rodenhausen, T., Drewes, F.
- How representative are sentiments expressed in social media for the marketing target audience? A comparison...; 2009; Jarchow, C., Thomas, J.
- SNB - Social Network Barometer; 2009; Drosdow, M., Geißler, H.
- Payments via Paypal as an Incentive in Online Panels; 2009; Goeritz, A., Wolff, H.-G., Goldstein, D. G.
- Advertising Effects of Online Video Ads; 2009; Wolf, M., Schönfeldt, J.
- Online election forecasts; 2009; Faas, T., Geißler, H.
- Propensity Score Adjustment for Web Survey of Voting Behavior: A Case in Japan; 2009; Kobayashi, T.
- Why Do I Use the Social Web?” Exploring the Motives of Active and Passive Users via Focus Groups...; 2009; Jers, C., Taddicken, M., Schenk, M.
- Diffusion of Mobile Services Adoption in Taiwan; 2009; Doong, H.-S., Wang, H.-C.
- Verbal Vs Visual Response Options: Reconciling Meanings Conveyed by a Computer Aided Visual Rating Scale...; 2009; Garland, P., Cape, P.
- Increasing response rates in list based samples; 2009; Keusch, F., Kurz, H., Penzkofer, P.
- Resolving the Privacy Paradox? - How Privacy Concerns, Strategic Self-presentation, and Norms Influence...; 2009; Utz, S.
- AGOF internet facts – increasing the response rate for onsite-surveys; 2009; Foerstel, H.
- Implementation of a reaction time tool for brand measurement at Swisscom; 2009; Paar, I., Urbahn, J.
- It’s all about customer satisfaction - Advantages and limitations of online surveys in applied...; 2009; Einhorn, M., Klein-Reesink, T., Löffler, M.
- Potential Of The Mobile Internet - What You Ask Is What You Get; 2009; Neubarth, W., Maier, U., Geißlitz, A.
- Measuring Network Quality: Strengths and Weaknesses of different Evaluation Methods (SMS, w@p and web...; 2009; Wallisch, A., Schwab, H.
- Challenges in Recruiting Special Groups in Internet Panel Research; 2009; Marchand, M., Vis, C.
- Panel Conditioning in Web Surveys: A Comparison between Trained and Fresh Respondents; 2009; Toepoel, V., Das, M., van Soest, A.
- Using Tag Clouds to Analyse and Visualise Results of Open Ended Questions; 2009; Melles, T., Jaron, R.
- Measuring Perceived Virtual Social Support in Online Self-Help Groups; 2009; Preiß, H.
- Personalization as Strategy to Increase Response Rates; 2009; Althoff, S.
- Understanding the willingness to participate in mobile surveys: Exploring the role of hedonic, affective...; 2009; Bosnjak, M., Metzger, G.
- Integrating Mobile Surveys into digital market research: Recommendations for Mobile Panel operation...; 2009; Friedrich-Freksa, M., de Groote, Z., Metzger, G.
- Measurement options, measurement error, and usability in mobile surveys; 2009; Pferdekämper, T., Bosnjak, M., Metzger, G.
- Visual Heuristics and Answer Formats in Rating Scales; 2009; Toepoel, V. Dillman, D. A.