Crowdsourcing Qualitative Thematic Analysis

Datos Bibliográficos

ID12470937
AutoresLara Hilton (0000-0003-2375-8810, Deloitte Consulting LLP, Los Angeles, CA, USA, autor de correspondencia), Tarek Azzam (0000-0003-3864-0217, Claremont Graduate University)
Año2019
Volumen40
Número4
Páginas575-589
Fecha de publicación2019-04-09
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaAmerican Journal of Evaluation (JOURNAL)
Identificadores de la revistaISSN: 1098-2140 • E-ISSN: 1557-0878
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/1098214019836674
OpenAlexW2938428767
IdiomaEN
Citas recibidas3
Referencias citadas20

Evaluations that include stakeholders aim to understand their perspectives and to ensure that their views are represented. This article offers a new approach to gaining stakeholder perspectives through crowdsourcing. We recruited a sample of individuals with chronic low back pain through a crowdsourcing site. This sample coded textual data describing pain, provided themes, and provided feedback on constructs and procedures. The results generated by the crowdsourced participants were compared to results generated by experts. We found that crowdsourcing to develop code and textual responses was feasible, rapid, and inexpensive, offering the potential to enhance patient stakeholder engagement in evaluation. Crowdsourcing has broad implications for evaluation science beyond the health sector

Crowdsourcing · Data science · Knowledge management · Political science · Public relations · Qualitative research · Sample (material · Social science · Sociology · Stakeholder · Thematic analysis · World Wide Web · Applied Psychology · Computer Science · Health Policy Implementation Science · Meta-analysis and systematic reviews · Mobile Crowdsensing and Crowdsourcing · Psychology