A proposed method to analyse visual data used to enhance qualitative interviews: a case for convergent and holistic data triangulation

Lynette Harper, Rob Burton, Ann Ooms, Ian Walshe

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Abstract

Background
People with learning disabilities often use visual data to support comprehension and expression in their everyday lives and more recently there has been a rise in research methods that include visual data collection. Visual data can be collected when using communication tools such as Talking Mats and Q-sorts.
Aim.
To provide an example of one approach to include visual data that is collected parallel to verbal data in the analysis and interpretation of the data.
Method
A new method is presented where visual and verbal data is analysed, interpreted and disseminated using convergent and holistic triangulation. An example is provided from four Talking Mats that were completed with six participants relating to problems with their sleep.
Results.
The triangulation of visual and verbal data is shown to be feasible and increased shared understanding of the participants responses on the Talking Mats, in comparison to adding up responses in a Likert-type fashion.
Conclusion
This new method provides a systematic process for the inclusion of visual data in the analysis and convergent and holistic triangulation with verbal data, to increase credibility and confirmability of findings and heightened insight into the phenomena under investigation.
Original languageEnglish
JournalLearning Disability Practice
Publication statusAccepted/In press - 29 Oct 2024

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