Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey

Journal of Medical Internet Research - Tập 21 Số 8 - Trang e14021
Lance Garrett Shaver1, Ahmed Khawer1, Yanqing Yi1, Kris Aubrey‐Bassler2, Holly Etchegary3, Barbara Roebothan1, Shabnam Asghari1, Peter Wang4,1,5
1Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
2Primary Healthcare Research Unit, Discipline of Family Medicine, Memorial University of Newfoundland, St John's, NL, Canada
3Clinical Epidemiology, Faculty of Medicine, Memorial University of Newfoundland, St John's, BC, Canada
4Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
5School of Public Health and Management, Weifang Medical University, Weifang, China

Tóm tắt

Background Facebook has shown promise as an economical means of recruiting participants for health research. However, few studies have evaluated this recruitment method in Canada, fewer still targeting older adults, and, to our knowledge, none specifically in Newfoundland and Labrador (NL). Objective This study aimed to assess Facebook advertising as an economical means of recruiting a representative sample of adults aged 35 to 74 years in NL for a cross-sectional health survey. Methods Facebook advertising was used to recruit for a Web-based survey on cancer awareness and prevention during April and May 2018; during recruitment, additional advertisements were targeted to increase representation of demographics that we identified as being underrepresented in our sample. Sociodemographic and health characteristics of the study sample were compared with distributions of the underlying population to determine representativeness. Cramer V indicates the magnitude of the difference between the sample and population distributions, interpreted as small (Cramer V=0.10), medium (0.30), and large (0.50). Sample characteristics were considered representative if there was no statistically significant difference in distributions (chi-square P>.01) or if the difference was small (V≤0.10), and practically representative if 0.10<V≤0.20. The cost per recruit of Facebook advertising was compared with a quote for a random digit dialing (RDD)–recruited postal survey to determine if this method was economical. Results Facebook advertising is feasible and economical to conduct survey research, reaching 34,012 people, of which 2067 clicked on the ad, for a final sample size of 1048 people at Can $2.18 per recruit versus the quoted Can $23,316.05 for 400 recruits (Can $35.52 per recruit) via RDD. The sample was representative of rural and urban geography (P=.02; V=0.073), practically representative of age (P=.003; V=0.145) and income (P<.001; V=0.188), and over-representative of women (P<.001; V=0.507) and higher levels of education (P<.001; V=0.488). The sample was representative of the proportion of people with a regular health care provider (P=.94; V=0.025), diabetes prevalence (P=.002; V=0.096), and having had a colonoscopy or sigmoidoscopy (P=.27; V=0.034), and it was practically representative of smoking status (P<.001; V=0.14), and body mass index (P<.001; V=0.135). The sample was not representative of arthritis prevalence (P<.001; V=0.573), perceived health (P<.001; V=0.384), or time since last seasonal flu shot (P<.001; V=0.449). Conclusions Facebook advertising offers an easy, rapid, and economical means to recruit a partially representative (representative or practically representative of 8 of the 13 characteristics studied) sample of middle-aged and older adults for health survey research. As Facebook uses a nonrandom targeting algorithm, caution is warranted in its applications for certain types of research.

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Tài liệu tham khảo

10.1002/mpr.1421

Blumberg, SJ, 2013, Natl Health Stat Report, 1

Canadian Radio-Television and Telecommunications Commission20172019-03-01Communications Monitoring Report https://crtc.gc.ca/eng/publications/reports/PolicyMonitoring/2017/cmr2017.pdf

Technical Specifications - Statistics Canada20142019-03-01Residential Telephone Service Survey, 2013 https://www150.statcan.gc.ca/n1/daily-quotidien/140623/dq140623a-eng.pdf

10.1016/j.invent.2016.02.001

Statista20182018-12-12Most Famous Social Network Sites Worldwide as of April 2019, Ranked by Number of Active Users (in Millions) https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/

Statista20182018-06-09Frequency of Use of Facebook Products and Services in Canada as of March 2018, by Region https://www.statista.com/statistics/822150/canada-facebook-products-services-use-by-region/

Statista20182018-06-09Frequency of Use of Facebook Products and Services in Canada as of March 2018, by Age Group https://www.statista.com/statistics/822184/canada-facebook-products-services-use-by-age/

Facebook Business2018-12-12How Does Facebook Detailed Targeting Work? https://web.archive.org/web/20190301041538/https://www.facebook.com/business/help/182371508761821

10.2196/jmir.7071

10.2196/jmir.6.3.e34

Facebook Business2018-06-09About Location Targeting https://web.archive.org/web/20190301041700/https://www.facebook.com/business/help/202297959811696?helpref=related

Innovation, Science and Economic Development: Canada20152019-03-01Forward Sortation Area - Definition https://www.ic.gc.ca/eic/site/bsf-osb.nsf/eng/br03396.html

Statistics Canada2016Data Tables, 2016 Census https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/dt-td/Index-eng.cfm

10.1080/00220973.1995.9943797

Gravetter, FJ, 2013, Statistics For The Behavioral Sciences. Ninth Edition

10.1023/A:1020016922473

10.1016/S0895-4356(97)00166-2

10.1037/a0039210

10.5993/AJHB.33.5.4

10.1016/S0895-4356(02)00455-9

10.1186/1471-2458-13-388

10.4300/JGME-D-12-00156.1

Patton, MQ, 2005, Encyclopedia of Statistics in Behavioral Science. Volume 3, 1633

10.1001/jama.2018.19763

BakerRBrickJMBatesNABattagliaMCouperMPDeverJAGileKJTourangeauRAmerican Association for Public Opinion Research20132019-03-01Non-Probability Sampling https://www.aapor.org/Education-Resources/Reports/Non-Probability-Sampling.aspx

10.1037/a0038087

10.2196/jmir.6793

10.1080/15265161.2016.1276644

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Journal of Medical Internet Research

Tập 21 Số 8

e14021

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