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Qualitative_data_analysis

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Figure 13.13 Adjusting scope of most refined categories<br />

Figure 13.14 Distinguishing exclusive and inclusive relationships<br />

OF MAPS AND MATRICES 219<br />

infer (in the absence of any other information to the contrary) that the relationships<br />

being described were causal. Another assumption was that the reader would ‘read’<br />

the map from left to right, as though it were text, and therefore take the categories<br />

on the left as ‘precedent’, not only in our map but also in the <strong>data</strong>. To ensure a<br />

correct interpretation, our map needs to include information allowing readers<br />

(including ourselves) to understand the relationships being described<br />

(Figure 13.15).<br />

Figure 13.15 now spells out the different relationships between categories and<br />

also the direction of the causal relationships. We have distinguished between the types<br />

and direction of relationships between categories, but what of the strength of<br />

different relationships?<br />

First of all, let us ‘unpack’ Figure 13.15 a little by distinguishing between the<br />

relationships between ‘occupation’ and ‘temperament’ as causes and ‘suffering’ as a<br />

consequence. Although we have presented ‘occupation’ and ‘temperament’ as<br />

interactive causes, we can distinguish between them. Is ‘suffering’ caused by

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