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Journal of Mixed Methods Research
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A Review of Participant-Generated Image Methods in the Social Sciences

Authors: Nika Balomenou; Brian Garrod;

A Review of Participant-Generated Image Methods in the Social Sciences

Abstract

This article makes a systematic review of the use of participant-generated image methods in social science research. Such methods have a long history of application across the social sciences. Their development has, however, been uneven and fragmented, resulting in a lack of gestalt (wholeness or unity). This has led to the methods being underappreciated and sometimes mistrusted. The article compares and contrasts the design, implementation, and analytical methods of nearly 300 studies. Six main groups or traditions are identified. However, the study finds no strong evidence that any is distinctive enough to warrant being awarded its own name. Meanwhile, no convincing evidence is found to suggest that best practice has either been identified or adopted.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 10%
Top 10%
Top 10%
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hybrid