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Crowdsourcing Qualitative Thematic Analysis

Bibliographic Data

ID12470937
AuthorsLara Hilton (0000-0003-2375-8810, Deloitte Consulting LLP, Los Angeles, CA, USA, corresponding author), Tarek Azzam (0000-0003-3864-0217, Claremont Graduate University)
Year2019
Volume40
Issue4
Pages575-589
Publication date2019-04-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Evaluation (JOURNAL)
Journal identifiersISSN: 1098-2140 • E-ISSN: 1557-0878
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1098214019836674
OpenAlexW2938428767
LanguageEN
Citations received3
References cited20

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

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Unique citing works3
Citations per year0,75
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2
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