Evaluating the Data Quality of a National Sample of Young Sexual and Gender Minorities Recruited Using Social Media: The Influence of Different Design Formats. (June 2022)

• Record Type: Journal Article
• Authors: Stern, Michael J.; Fordyce, Erin; Carpenter, Rachel; Viox, Melissa Heim; Michaels, Stuart; Harper, Christopher; Johns, Michelle M.; Dunville, Richard
• Is Part Of: Social science computer review. Volume 40:Number 3(2022)
• Page Start: 663
• Page End: 677
• Publication Date: 2022-06
• Subjects: web survey -- social media -- LGBT -- PrEP -- data quality; Social sciences -- Data processing -- Periodicals; Computers -- Social aspects -- Periodicals; Microcomputers -- Periodicals; Sciences sociales -- Informatique -- Périodiques; Micro-ordinateurs -- Périodiques; 300.285
• DOI: 10.1177/0894439320928240
• Languages: English
• ISSNs: 0894-4393

Abstract

Social media recruitment is no longer an uncharted avenue for survey research. The results thus far provide evidence of an engaging means of recruiting hard-to-reach populations. Questions remain, however, regarding whether the data collected using this method of recruitment produce quality data. This article assesses one aspect that may influence the quality of data gathered through nonprobability sampling using social media advertisements for a hard-to-reach sexual and gender minority youth population: recruitment design formats. The data come from the Survey of Today's Adolescent Relationships and Transitions, which used a variety of forms of advertisements as survey recruitment tools on Facebook, Instagram, and Snapchat. Results demonstrate that design decisions such as the format of the advertisement (e.g., video or static) and the use of eligibility language on the advertisements impact the quality of the data as measured by break-off rates and the use of nonsubstantive responses. Additionally, the type of device used affected the measures of data quality.