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It's a work of such immensity and scope that it is almost impossible for a single performance to fully encompass its complexities of meaning: interpretative cogency is consequently a question of emphasis, which brings with it the inevitable risk that one or more of its elements can be underplayed.
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When one well-meaning interpretative wizard wrote that the violent and distressing images he had lately unleashed upon the world were Bacon's "condemnation of man's inhumanity to man", he replied tartly, "Well he would say that, wouldn't he?" And, "Nothing was further from my mind".
An individual always operates within specific horizons, but because horizons open out to indeterminacy, a range of interpretative meaning is available from within those horizons (2006, 43).
As a last step, we identified emergent themes, each one being a thread of an underlying meaning on an interpretative level [ 14].
Firstly, in terms of analysis, the aim of QD is neither thick description (ethnography), theory development (grounded theory) nor interpretative meaning of an experience (phenomenology), but a rich, straight description of an experience or an event.
Codes were sorted into eleven sub-themes, and then abstracted to four themes, as the richness of data made it possible to formulate latent meaning at an interpretative level.
In terms of analysis, therefore, we report a straight description (close to the data as recorded) of the participants' views and perspectives rather than a thick description, theory development or interpretative meaning of their experiences.
The purpose of the data analysis was to capture key, higher order themes as opposed to seeking deeper meaning (e.g., Interpretative Phenomenological Analysis [ 20]) or engage in theory development (e.g., Grounded Theory [ 21]).
Quantitative data were analysed using proportions, means and interpretative descriptions.
Since a key objective is to obtain n unique facets that are informative and orthogonal (We use the term orthogonal to describe the idea of distinctive clusters, rather than its precise mathematical meaning)., our algorithm maximizes interpretative value of the atlas by optimizing intra-facet cluster modularity and inter-facet orthogonality.
The third stage sought to add an interpretative layer of meaning to the data [ 42] by identifying overarching themes that would explain and provide insight into mental health specific issues of supporting self-care.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com