دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey
المؤلفون: Shaver, Lance Garrett, Khawer, Ahmed, Yi, Yanqing, Aubrey-Bassler, Kris, Etchegary, Holly, Roebothan, Barbara, Asghari, Shabnam, Wang, Peizhong Peter
بيانات النشر: JMIR Publications
سنة النشر: 2019
مصطلحات موضوعية: Original Paper, psy, stat
الوصف: 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
نوع الوثيقة: text
اللغة: English
العلاقة: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718121Test/
الإتاحة: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718121Test/
حقوق: undefined
رقم الانضمام: edsbas.7DBFFCB8
قاعدة البيانات: BASE