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Qualitative_data_analysis

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Figure 10.2 Initial relationships between categories<br />

SPLITTING AND SPLICING 149<br />

the various categories we created. When we create and define categories, we have to<br />

consider the boundaries between them. We also have to consider whether the<br />

relationships between categories are inclusive or exclusive, and the different levels of<br />

classification in our category set. Even before we begin our <strong>analysis</strong>, therefore, we<br />

may have a rough idea of some of the logical relationships between the categories we<br />

are going to use in our <strong>analysis</strong> (Figure 10.2).<br />

We need to think in terms of a category set rather than an unrelated and<br />

haphazard collection of individual categories. When we assign categories, we may<br />

have to reconsider the boundaries of categories and relationships between them.<br />

Applying our ideas more systematically or to new <strong>data</strong> may oblige us to adapt old<br />

categories or adopt new ones. All this contributes to the emergence of new conceptual<br />

comparisons and connections between our categories. We can map out these<br />

changes in our category set as they develop. We can also indicate which are the<br />

more important aspects to emerge from our <strong>analysis</strong> of the <strong>data</strong> (Figure 10.3).<br />

Once we have categorized the <strong>data</strong>, we are in a better position to review the<br />

boundaries and relationships between the categories used in our classification. We<br />

can do this by comparing systematically the <strong>data</strong>bits which have been assigned to<br />

the categories used in our <strong>analysis</strong>. To do this we need to examine the <strong>data</strong>bits<br />

which we have assigned to each category. The computer should allow us to retrieve<br />

the <strong>data</strong>bits for any combination of categories in which we are interested.<br />

As an example, let us take the category ‘task’. We have used this category to<br />

categorize <strong>data</strong> expressing stereotypical images of work. Suppose we have also used<br />

another category, ‘occupation’, to refer to general differences between the two<br />

occupations. Drilling a tooth or painting a canvas is a task, while the amount of<br />

income this generates is an occupational characteristic. Now we want to clarify the<br />

connection between our categories ‘task’ and ‘occupation’ and how these relate to<br />

our interest in the style and substance of Woody Allen’s humour.

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