Maintaining data quality when using social media for recruitment: Risks, rewards, and steps forward DOI Creative Commons
Marissa Bartmess, T. de Abreu

Methodology, Год журнала: 2024, Номер 20(4), С. 304 - 317

Опубликована: Дек. 20, 2024

Social media is increasingly used to recruit participants for research studies and has been shown be an effective means of recruitment, in terms cost, time, accessibility. However, researchers often struggle with the challenges using social as minimal guidance available. Without careful consideration risks data quality when a recruitment tool, overall results can compromised. This paper provides three hypothetical scenarios based part on real-world experiences media-based (SMR) methods. The serve discussion learning opportunity identify issues SMR postulate how mitigated. Inexperience lead severe flaws collection, which mitigated early study process appropriate measures place. Researchers need proactively educate themselves take avoid common pitfalls associated achieve robust integrity.

Язык: Английский

Maintaining data quality when using social media for recruitment: Risks, rewards, and steps forward DOI Creative Commons
Marissa Bartmess, T. de Abreu

Methodology, Год журнала: 2024, Номер 20(4), С. 304 - 317

Опубликована: Дек. 20, 2024

Social media is increasingly used to recruit participants for research studies and has been shown be an effective means of recruitment, in terms cost, time, accessibility. However, researchers often struggle with the challenges using social as minimal guidance available. Without careful consideration risks data quality when a recruitment tool, overall results can compromised. This paper provides three hypothetical scenarios based part on real-world experiences media-based (SMR) methods. The serve discussion learning opportunity identify issues SMR postulate how mitigated. Inexperience lead severe flaws collection, which mitigated early study process appropriate measures place. Researchers need proactively educate themselves take avoid common pitfalls associated achieve robust integrity.

Язык: Английский

Процитировано

0