Centering Community and Mediating Online Survey Threats: Case Studies from Social Work Research.
Social work scholars are increasingly conducting research using virtual spaces such as survey platforms, video interfaces, email, and online communities. Internet-based approaches can increase access to historically and socially excluded groups. However, online methods are also prone to data quality...
| Publicado en: | Social Work Research Vol. 49; no. 3; pp. 185 - 193 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=187954993&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 187954993 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10705309 SWK jtl: Social Work Research issn: 10705309 maglogo: N pubinfo: dt: Sep2025 vid: 49 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 187954993 10.1093/swr/svaf011 ppf: 185 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P size: 654KB tig: atl: Centering Community and Mediating Online Survey Threats: Case Studies from Social Work Research. aug: au: Guzman, Kate Golden Ast, Roxanna S affil: Kate Golden Guzman, PhD, is an independent consultant, 155 Ashland Avenue, Bala Cynwyd, PA 19004-1802, USA Roxanna S. Ast, PhD, is assistant professor, Department of Social Work and Child Advocacy, Montclair State University, Montclair, NJ, USA su: LGBTQ+ people Internet Foster home care Social work research Fraud Surveys Research bias Content mining Data quality sug: subj: LGBTQ+ people Internet Foster home care Social work research Fraud Other Residential Care Facilities All other residential care facilities Child and Youth Services Internet Publishing and Broadcasting and Web Search Portals Wired Telecommunications Carriers Other Individual and Family Services Surveys Research bias Content mining Data quality keyword: bots data validity fraudulence online surveys social work bots data validity fraudulence online surveys social work ab: Social work scholars are increasingly conducting research using virtual spaces such as survey platforms, video interfaces, email, and online communities. Internet-based approaches can increase access to historically and socially excluded groups. However, online methods are also prone to data quality issues. Findings based on fraudulent data can result in policies, programming, and services that are not reflective of the lived experiences and needs of disenfranchised groups. To ensure social workers do not perpetuate harm by reporting findings from nonrepresentative survey responses, it is imperative that our data are valid. Authors of this article used case studies to share their experiences with online survey fraud, discussing how they mitigated challenges with bots, fake respondents, and multiple responses in studies with foster care and LGBTQ+ communities. Authors share how they centered community perspectives to inform recruitment and data collection practices to increase their capacity to identify valid data. They describe a rigorous, multiphase process for assessing data validity in real time based on lessons learned. Finally, they provide reflection questions that highlight important concepts for researchers to consider when using online recruitment and survey techniques with disenfranchised groups. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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