Using an Arts-Informed Eclectic Approach to Photovoice Data Analysis

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dc.contributor.authorCapous-Desyllas, Moshoula
dc.contributor.authorBromfield, Nicole F.
dc.date.accessioned2018-04-30T17:24:26Z
dc.date.available2018-04-30T17:24:26Z
dc.date.issued02/02/18
dc.description.abstractArts-informed approaches in qualitative research are gaining more recognition as being a critical research approach in the social sciences. Using arts in research is most commonly seen in the data collection process and in data representation, however, very little is written about how to use arts-informed approaches in data analysis. There are no “how-to” guides and researchers who engage in photovoice research often implement traditional qualitative methods for analyzing their data. The purpose of this article is to merge creativity with rigor to illustrate alternative means to analyze photovoice research data. This article serves as a practical and systematic guide for interpreting photographic and interview transcript data from photovoice projects. Various tables illustrate organizational strategies, and collages serve as a metaphor for the analysis process and themes. The benefits of using arts-informed analysis methods include cross-disciplinary study, innovative ways to interpret data, enhancement of trustworthiness and rigor, and building creative mediums as a form of knowledge.
dc.identifier.citationCopyright 2018 The Authors. Recommended citation: Capous-Desyllas, Moshoula, and Nicole F. Bromfield. "Using an Arts-Informed Eclectic Approach to Photovoice Data Analysis." International Journal of Qualitative Methods 17, no. 1 (2018): 1609406917752189. DOI: 10.1177/1609406917752189. Reproduced in accordance with licensing terms and with the author’s permission.
dc.identifier.urihttp://hdl.handle.net/10657/3018
dc.language.isoen_US
dc.publisherInternational Journal of Qualitative Methods
dc.subjectPhotovoice analysis
dc.subjectArts-informed research
dc.subjectVisual methods
dc.subjectCollages
dc.subjectInterpretive phemonology
dc.titleUsing an Arts-Informed Eclectic Approach to Photovoice Data Analysis
dc.typeArticle

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