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

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). OBJECTI...

Full description

Bibliographic Details
Published in:Journal of Medical Internet Research
Main Authors: Shaver, Lance Garrett, Khawer, Ahmed, Yi, Yanqing, Aubrey-Bassler, Kris, Etchegary, Holly, Roebothan, Barbara, Asghari, Shabnam, Wang, Peizhong Peter
Format: Text
Language:English
Published: JMIR Publications 2019
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718121/
http://www.ncbi.nlm.nih.gov/pubmed/31429409
https://doi.org/10.2196/14021
id ftpubmed:oai:pubmedcentral.nih.gov:6718121
record_format openpolar
spelling ftpubmed:oai:pubmedcentral.nih.gov:6718121 2023-05-15T17:22:50+02:00 Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey Shaver, Lance Garrett Khawer, Ahmed Yi, Yanqing Aubrey-Bassler, Kris Etchegary, Holly Roebothan, Barbara Asghari, Shabnam Wang, Peizhong Peter 2019-08-19 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718121/ http://www.ncbi.nlm.nih.gov/pubmed/31429409 https://doi.org/10.2196/14021 en eng JMIR Publications http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718121/ http://www.ncbi.nlm.nih.gov/pubmed/31429409 http://dx.doi.org/10.2196/14021 ©Lance Garrett Shaver, Ahmed Khawer, Yanqing Yi, Kris Aubrey-Bassler, Holly Etchegary, Barbara Roebothan, Shabnam Asghari, Peizhong Peter Wang. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.08.2019. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/.as well as this copyright and license information must be included. CC-BY Original Paper Text 2019 ftpubmed https://doi.org/10.2196/14021 2019-09-22T00:17:03Z 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 ... Text Newfoundland PubMed Central (PMC) Canada Cramer ENVELOPE(-63.098,-63.098,-64.824,-64.824) Newfoundland Journal of Medical Internet Research 21 8 e14021
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Original Paper
spellingShingle Original Paper
Shaver, Lance Garrett
Khawer, Ahmed
Yi, Yanqing
Aubrey-Bassler, Kris
Etchegary, Holly
Roebothan, Barbara
Asghari, Shabnam
Wang, Peizhong Peter
Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey
topic_facet Original Paper
description 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 ...
format Text
author Shaver, Lance Garrett
Khawer, Ahmed
Yi, Yanqing
Aubrey-Bassler, Kris
Etchegary, Holly
Roebothan, Barbara
Asghari, Shabnam
Wang, Peizhong Peter
author_facet Shaver, Lance Garrett
Khawer, Ahmed
Yi, Yanqing
Aubrey-Bassler, Kris
Etchegary, Holly
Roebothan, Barbara
Asghari, Shabnam
Wang, Peizhong Peter
author_sort Shaver, Lance Garrett
title Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey
title_short Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey
title_full Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey
title_fullStr Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey
title_full_unstemmed Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey
title_sort using facebook advertising to recruit representative samples: feasibility assessment of a cross-sectional survey
publisher JMIR Publications
publishDate 2019
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718121/
http://www.ncbi.nlm.nih.gov/pubmed/31429409
https://doi.org/10.2196/14021
long_lat ENVELOPE(-63.098,-63.098,-64.824,-64.824)
geographic Canada
Cramer
Newfoundland
geographic_facet Canada
Cramer
Newfoundland
genre Newfoundland
genre_facet Newfoundland
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718121/
http://www.ncbi.nlm.nih.gov/pubmed/31429409
http://dx.doi.org/10.2196/14021
op_rights ©Lance Garrett Shaver, Ahmed Khawer, Yanqing Yi, Kris Aubrey-Bassler, Holly Etchegary, Barbara Roebothan, Shabnam Asghari, Peizhong Peter Wang. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.08.2019.
https://creativecommons.org/licenses/by/4.0/
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/.as well as this copyright and license information must be included.
op_rightsnorm CC-BY
op_doi https://doi.org/10.2196/14021
container_title Journal of Medical Internet Research
container_volume 21
container_issue 8
container_start_page e14021
_version_ 1766109730471673856