Web Survey Bibliography
Background: Studies of tobacco use and other health behaviors have reported great challenges in recruiting young adults. Social media is widely used by young adults in the United States and represents a potentially fast, affordable method of recruiting study participants for survey research.
Objective: The present study examined Facebook as a mechanism to reach and survey young adults about tobacco and other substance use.
Methods: Participants were cigarette users, age 18-25 years old, living throughout the United States and recruited through Facebook to complete a survey about tobacco and other substance use. Paid advertising using Facebook’s Ad program over 13 months from 2010 Feb 28 to 2011 Apr 4 targeted by age (18-25), location (United States or California), language (English), and tobacco- and/or marijuana-related keywords. Facebook approved all ads.
Results: The campaign used 20 ads, which generated 28,683,151 impressions, yielding 14,808 clicks (0.7% of targeted Facebook members), at an overall cost of $6,628.24. The average cost per click on an ad was $0.45. The success of individual ads varied widely. There was a rise in both clicks and impressions as the campaign grew. However, the peak for clicks was 3 months before the peak for ad impressions. Of the 69,937,080 accounts for those age 18-25 in the United States, Facebook estimated that 2.8% (n = 1,980,240) were reached through tobacco and marijuana keywords. Our campaign yielded 5237 signed consents (35.4% of clicks), of which 3093 (59%) met criteria, and 1548 (50% of those who met criteria) completed the survey. The final cost per valid completed survey was $4.28. The majority of completed surveys came from whites (69%) and males (72%). The sample averaged 8.9 cigarettes per day (SD 7.5), 3.8 years of smoking (SD 2.9), with a median of 1 lifetime quit attempts; 48% did not intend to quit smoking in the next 6 months.
Conclusions: Despite wide variety in the success of individual ads and potential concerns about sample representativeness, Facebook was a useful, cost-effective recruitment source for young-adult smokers to complete a survey about the use of tobacco and other substances. The current findings support Facebook as a viable recruitment option for assessment of health behavior in young adults.
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Web Survey Bibliography - USA (2403)
- Educational use of smart phone technology: A survey of mobile phone application use by undergraduate...; 2013; Bomhold, C. R.
- Does website‐based information add any value in counseling mothers expecting a baby with severe...; 2013; Engels, A. C. et al.
- Middle School Sexual Harassment, Violence and Social Networks; 2013; Mumford, E. A. et al.
- Customer satisfaction in Web 2.0 and information technology development; 2013; Sharma, G., Baoku, L.
- To preserve or not to preserve; 2013; Mersereau, J. E. et al.
- Media Commons: the process and value of centralizing services; 2013; Mestre, L. S.
- Developing and completing a library mobile technology survey to create a user-centered mobile presence...; 2013; A., Bonadie-Joseph, I., Cain, J.Becker, D. A.
- Dialogistic Presence on Community College Websites in Nine Megastates; 2013; Shadinger, D.
- Foreign workers in Saudi Arabia: a field study of role ambiguity, identification, information-seeking...; 2013; Showail, S. J., McLean Parks, J., Smith, F. L.
- Should the third reminder be sent? The role of survey response timing on web survey results; 2013; Rao, K., Pennington, J.
- Assessing Nonresponse Bias in the Green Technologies and Practices Survey; 2013; Meekins, B., Sverchkov, M., Stang, S.
- Using an Item Response Theory Approach to Measure Survey Mode of Administration Effects: Analysis of...; 2013; Mariano, L. T., Elliott, M. N.
- How Does Online Survey Mode Affect Answers to Customer Feedback Loyalty Surveys?; 2013; Gupta, A., Lee, J.
- Using Internet Panel Surveys for Behavioral Health Surveillance; 2013; Gotway Crawford, C., Okoro, C. A., Dhingra, S., Akcin, H., Zhao, G., Ford, D., Pierannunzi, C.
- Model-Based Mode of Data Collection Switching from Internet to Mail in the American Community Survey; 2013; Chesnut, J.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- How Mobile Stacks Up to Traditional Online: A Comparison of Studies; 2013; Knowles, R.
- Why respondents suffer if you're not mobile-ready; 2013; Knapton, K.
- Thoughts on retrieving information from open-ended questions; 2013; Luyens, S.
- Social media data demands a marriage of high-tech and high-touch; 2013; Waldheim, C., Stevens, N.
- Book Review: Brand Together: How Co-creation Generates Innovation and Re-energizes Brands, by Nicholas...; 2013; Wilson, A.
- Digging deeper: using implicit tests to define consumers' semantic network; 2013; Riviere, P., Cuny, C., Allain, G., Vereijken, C.
- Conceptualising and evaluating experiences with brands on Facebook; 2013; Smith, S.
- Lotteries and study results in market research online panels; 2013; Goeritz, A.; Luthe, S. C.
- Estimates on the effectiveness of web application firewalls against targeted attacks; 2013; Holm, H., Ekstedt, M.
- Respondent Rewards: Money for Nothing?; 2013; Martin, P.
- How to make your questionnaire mobile-ready; 2013; Cape, P. J.
- Did I Do That? How Trap Questions Can Hurt Data Quality; 2013; Phillips, K.
- Leveraging mobile and online qualitative to get inside shoppers’ heads; 2013; Bryson, J., Ritzo, J.
- Utilization of High-Technology to Collect Health Risk Assessment Information from Medicare Members:...; 2013; Freedman, D., VanderHorst, N.
- Comparison of Smartphone and Online Computer Survey Administration; 2013; Wells, T., Bailey, J., Link, M. W.
- Attitudes of Nebraska Residents on Nebraska Water Management; 2013; Dillman, D. A., Edwards, M. L.
- Attitudes of Washington Residents on Washington Water Management; 2013; Dillman, D. A., Edwards, M. L.
- A Comparison of Data Quality Across Modes in a Mixed-Mode Collection of Administrative Records; 2013; Worthy, M., Mayclin, D.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- To Click, Type, or Drag? Evaluating Speed of Survey Data Input Methods; 2013; Husser, J. A., Husser, J. A.
- Unit Nonresponse and Weighting Adjustments: A Critical Review; 2013; Brick, J. M.
- Measuring the impact of the Web: Rasch modelling for survey evaluation; 2013; Annoni, P., Weziak-Bialowolska, D., Farhan, H.
- Online Case Studies: HESI Exit Exam Scores and NCLEX-RN Outcomes; 2013; Young, A., Rose, G., Willson, P.
- The Challenges and Benefits of Distance Mentoring; 2013; Lach, H. W. et al
- Hail to Thee, Our Alma Mater: Alumni Role Identity and the Relationship to Institutional Support Behaviors...; 2013; McDearmon, J. T.
- Using Tablet Computers For “Intentional” Mobile Research; 2013; Seal, J.
- Encouraging Record Use For Financial Asset Questions In A Web Survey; 2013; Couper, M. P., Ofstedal, M. B., Lee, S.
- Experiments with methods to reduce attrition in longitudinal surveys; 2013; Fumagalli, L., Laurie, H., Lynn, P.
- How incentives affect web-based survey response rates of athletic program donors; 2013; Alvarado, G., Callison, C.
- Investigating the Relationship among Prepaid Token Incentives, Response Rates, and Nonresponse Bias...; 2013; Parsons, N. L., Manierre, M. J.
- The Effect of Survey Mode on High School Risk Behavior Data: a Comparison between Web and Paper-based...; 2013; Raghupathy, S., Hahn-Smith, S.
- Permission email messages significantly increase gambler retention; 2013; Jolley, W., Lee, A., Mizerski, R., Sadeque, S.
- How virtual corporate social responsibility dialogs generate value: A framework and propositions; 2013; Korschun, D., Du, S.
- Understanding service quality in a virtual travel community environment; 2013; Elliot, S., Li, G., Choi, C.