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Using Photographs in Mixed Methods Research

An Illustration Integrating Quantitative and Qualitative Analyses from Consumer Research

Bibliographic Data

ID12811629
AuthorsAnne-Katrin Kleih (0000-0002-1046-5413, Hochschule Geisenheim University, corresponding author), Mira Lehberger (0000-0001-7756-9519, Hochschule Geisenheim University), Kai Sparke (0000-0003-4783-3918, Hochschule Geisenheim University)
Year2021
Volume16
Issue4
Pages438-457
Publication date2021-12-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Mixed Methods Research (JOURNAL)
Journal identifiersISSN: 1558-6898 • E-ISSN: 1558-6901
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/15586898211056748
OpenAlexW4200085048
LanguageEN
Citations received6
References cited45

Photograph analysis poses a novel methodological challenge for mixed methods researchers. In this paper, we argue that photographs are a valid data source that are not outside of the quantitative–qualitative binary and, hence, can be analyzed and used for integration, applying mixed methods principles. We summarize photograph analysis methods from different scientific fields and contribute to the field of mixed methods by proposing a mixed methods framework for analyzing visual data that allows the flexible application and integration of different quantitative and qualitative photograph analysis methods by focusing on data transformation. We use an illustrative example from consumer research

Data science · Field (mathematics · Machine learning · Management science · Multimethodology · Qualitative property · Qualitative research · Quantitative analysis (chemistry · Quantitative Research · Social science · Sociology · Transformation (genetics · Visual methods · Computer Science · Mathematics · Participatory Visual Research Methods · Psychology

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Unique citing works6
Citations per year1.5
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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