Using an Arts-Informed Eclectic Approach to Photovoice Data Analysis
Author(s) -
Capous-Desyllas Moshoula,
Bromfield Nicole F.
Publication year - 2018
Publication title -
international journal of qualitative methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.414
H-Index - 29
ISSN - 1609-4069
DOI - 10.1177/1609406917752189
Subject(s) - photovoice , the arts , data collection , creativity , metaphor , qualitative property , rigour , qualitative research , data science , sociology , computer science , engineering ethics , psychology , social science , epistemology , visual arts , social psychology , engineering , art , linguistics , philosophy , machine learning
Arts-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.
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