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Schema Analysis of Qualitative Data: A Team-Based Approach

Rapport, F, Shih, P, Bierbaum, M and Hogden, A 2018 , 'Schema Analysis of Qualitative Data: A Team-Based Approach', in P Liamputtong (ed.), Handbook of Research Methods in Health Social Sciences , Springer Nature Singapore Pte Ltd, Singapore, pp. 1-19.

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Abstract

Schema analysis is a novel, qualitative data analysis technique that uses asummative approach to make sense of complex, nuanced, textual data. It aimsto ensure that key features of a text, or “essential elements,” are revealed beforeany interpretation of those key elements takes place, based on the assertion thatdata should be handled in a principled, informed, and strategic manner to achievephenomenal clarity. Teamwork is a central element of schema analysis, enablingresearchers to effectively co-create meaning across disciplinary boundariesthrough consensus-driven strategies. The research team’s shared accountability for interpretive decisions is clearly linked to a study’s original questions and theresearch team’s desire to be rigorous in their collaborative stance and equallyvocal. Schema analysis can be used in the context of a wide range of qualitativestudies or can sit alongside outputs from other mixed-methods studies to addsubstance to their findings. The technique has been successfully developed andrefined by the lead author, to suit a wide variety of healthcare scenarios,evidenced by published research projects from UK and Australian contexts. Inthis chapter, the method is presented in detail, step by step. An example of the useof schema analysis in practice is offered up from a recent Australian study thatexamined multidisciplinary team-working practices in oncology. Study data froman interview with an oncology psychologist working as part of an oncologicalmultidisciplinary team is considered, to reveal how healthcare professionalspresent information about risk to women with breast cancer. The chapter considers methodological implications for achieving validity and rigor, upholdingtrustworthiness in data, and creating data that are transferable to different settings.To conclude, the chapter reflects on future opportunities for the method’s use inqualitative research.

Item Type: Book Section
Authors/Creators:Rapport, F and Shih, P and Bierbaum, M and Hogden, A
Keywords: schema analysis, team-working, qualitative data, consensus-driven approach
Publisher: Springer Nature Singapore Pte Ltd
DOI / ID Number: 10.1007/978-981-10-2779-6_104-1
Copyright Information:

Copyright 2018 Springer Nature Singapore Pte Ltd.

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