Web Survey Bibliography
Title Exploring the Feasibility of Using Facebook for Surveying Special Interest Populations
Year 2016
Access date 09.06.2016
Abstract
It is common that a survey aims to collect responses from specific population groups such as people with certain interests, people living in a certain area, people affected by a certain event, etc. In general, this kind of survey uses a registry or commercially available database to reach the targeted population in an effective and efficient manner. However, it is a challenging task as the registry or database information is often limited and expensive. In addition, primary available contact information is a phone number, which also limits the mode of survey to phone calls. During the last decade, web survey has become much more common as telephone surveys have experienced many challenges. In this study, a web-based survey with a multi-method sampling approach was adopted to conduct a motorcyclist survey in Florida. Motorcycles represent less than 3 percent of registered motor vehicles in Florida. The survey link was distributed through the following methods: Address-Based Sampling (ABS):Postcards with an invitation to complete the web-based survey were sent to a random sample of endorsed motorcyclists. In total, 30,000 addresses were sampled from the Florida DHSMV database of endorsed motorcyclists. Each sampled address was sent two invitation postcards over a period of two weeks. Facebook: An advertisement that targeted motorcycle riders ages 18 and older was placed on Facebook for 10 days to advertise the web survey. To increase participation, incentives were offered through drawings. Participants could enter to win a motorcycle safety-related prize, including a motorcycle jacket or a motorcycle helmet. In total,3,817 survey responses (including partially-completed surveys) were collected. The study explored the cost-effectiveness of Facebook advertisement compared to ABS in terms of reaching the targeted population and discussing the potential coverage errors by age.
Access/Direct link Conference Homepage (abstract)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (109)
- The use of online social networks as a promotional tool for self-administered internet surveys; 2016; de Rada, V. D.; Arino, L. V. C; Blasco, M. G
- Exploring the Feasibility of Using Facebook for Surveying Special Interest Populations ; 2016; Lee, C.; Jang, S.
- Longitudinal Online Ego-centric Social Network Data Collection with EgoWeb 2.0 ; 2016; Amin, A.; Kennedy, D.
- Problems and Prospects in Survey Research; 2016; Moy, P.; Murphy, J.
- A Framework of Incorporating Thai Social Networking Data in Online Marketing Survey; 2016; Jiamthapthaksin, R.; Aung, T. H.; Ratanasawadwat, N.
- Improving social media measurement in surveys: Avoiding acquiescence bias in Facebook research; 2016; Kuru, O.; Pasek, J.
- Online and Social Media Data As an Imperfect Continuous Panel Survey; 2016; Diaz, F.; Garmon, F.; Hofman, J. K.; Kiciman, E.; Rothschild, D.
- Social Media Analyses for Social Measurement; 2016; Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
- Doing Surveys Online ; 2016; Toepoel, V.
- Taming Big Data: Using App Technology to Study Organizational Behavior on Social Media; 2015; Bail, C. A.
- Validation of the new scale for measuring behaviors of Facebook users: Psycho-Social Aspects of Facebook...; 2015; Bodroza, B.; Jovanovic, T.
- Facebook as a Tool for Respondent Tracing; 2015; Schneider, S. J., Burke-Garcia, A., Thomas, G.
- Predictors of inconsistent responding in web surveys; 2015; Akbulut, Y.
- Does Opinion Leadership Increase the Followers on Twitter; 2015; Hwang, Y.
- A Mixed Methods Approach to Network Data Collection; 2014; Rice, E., Holloway, I. W., Barman-Adhikari, A., Fuentes, D., Brown, C. H., Palinkas, L. A.
- Facebook, Twitter, & Qr Codes: An Exploratory Trial Examining The Feasibility Of Social Media Mechanisms...; 2014; Gu, L. L.
- Build your own social network laboratory with Social Lab: a tool for research in social media; 2014; Garaizar, P., Reips, U.-D.
- Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative...; 2014; Dasgupta, S., Vaughan, A. S., Kramer, M. R., Sanchez, T. H., Sullivan, P. S.
- Using respondent tweets to fill in survey gaps; 2014; Murphy, J.
- The quality of ego-centered social network data in web surveys: experiments with a visual elicitation...; 2014; Marcin, B., Matzat, U., Snijders, C.
- Social Media and Surveys: Collaboration, Not Competition; 2014; Couper, M. P.
- Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics; 2014; Callegaro, M.
- Social Media and Online Survey: Tools for Knowledge Management in Health Research ; 2014; Merolli, M., Sanchez, F. J. M., Gray, K.
- Using Online Social Media for Recruitment of Human Immunodeficiency Virus-Positive Participants: A Cross...; 2014; Yuan, P., Bare, M. G., Johnson, M. O., Saberi, P.
- Online Surveys as a Management Tool for Monitoring Multicultual Virtual Team Processes; 2014; Scovotti, C.
- Picking up the Bread Crumbs: Holistic Insights from Social Media; 2014; Souda, P.
- The Future of Social Media, Sociality, and Survey Research; 2013; Hill, C., Dever, J. A.
- Collecting Diary Data on Twitter; 2013; Richards, A., Dean, E., Cook, S.
- Second Life as a Survey Lab: Exploring the Randomized Response Technique in a Virtual Setting; 2013; Richards, A., Dean, E.
- Virtual Cognitive Interviewing Using Skype and Second Life; 2013; Dean, E., Head, B., Swicegood, J. E.
- Sentiment Analysis: Providing Categorical Insight into Unstructured Textual Data; 2013; Haney, C.
- Social Media, Sociality, and Survey Research; 2013; Hill, C., Dean, E., Murphy, J.
- Different approaches to measure ego-centered social support networks: a meta-analysis; 2013; Hlebec, V., Kogovsek, T.
- Online questionnaire development: Using film to engage participants and then gather attitudes towards...; 2013; Middleton, A., Bragin, E., Morley, K. I., Parker, M.
- 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.
- 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.
- 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.
- 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, Ti., Woodford, M., Jani, M.
- 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.
- How and when social media storms impact brands; 2012; Morris, A., Perry, H.
- Biting the Hand and Bending the Rules: An IJMR Presentation; 2012; Pettit, A.
- A survey of social media usage integrating daily Facebook participation time with in-person social interaction...; 2012; Mishra, S.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.