Thematic Analysis and Its Reconceptualization as ‘Saliency Analysis’
Stephen Buetow
Abstract
Stephen Buetow
Abstract
Thematic analysis is characteristic of most qualitative research. Themes are groups of codes that recur through being similar or connected to each other in a patterned way. Thematic analysis ignores codes that do not recur yet may nonetheless be important. This paper proposes the concept of 'saliency analysis' as an enhancement of thematic analysis. Saliency analysis assesses the degree to which each code recurs, is highly important or both. Codes of high importance are ones that advance understanding or are useful in addressing real world problems, or both. Thus saliency analysis can expose what is non-recurrent but potentially important to the aims of a study.
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Thematic analysis is characteristic of most qualitative research. Themes are groups of codes that recur through being similar or connected to each other in a patterned way. Thematic analysis ignores codes that do not recur yet may nonetheless be important. This paper proposes the concept of 'saliency analysis' as an enhancement of thematic analysis. Saliency analysis assesses the degree to which each code recurs, is highly important or both. Codes of high importance are ones that advance understanding or are useful in addressing real world problems, or both. Thus saliency analysis can expose what is non-recurrent but potentially important to the aims of a study.
Key concepts: Thematic analysis, Thematic map, Qualitative analysis, Computer science, Code (set theory), Qualitative research, Psychology, Data science