20.02.2013 Views

Qualitative_data_analysis

Qualitative_data_analysis

Qualitative_data_analysis

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Figure 11.2 Multiple hyperlinks between bits of <strong>data</strong> stored separately<br />

LINKING DATA 163<br />

pathways within the <strong>data</strong>, with each pathway incorporating a chain of links between<br />

different bits of <strong>data</strong> (Figure 11.2).<br />

In conceptual terms, the resulting complex of pathways may be more perplexing<br />

than illuminating, if we fail to distinguish between the different strings attaching<br />

different bits of <strong>data</strong>. Retaining the visual image, we have to colour code the strings<br />

if we are going to disentangle the different paths and not become confused by twists<br />

and turns and overlaps amongst the different strings. It is not enough just to make<br />

an electronic link: we also have to describe it.<br />

Like categorizing, linking therefore has a conceptual as well as a mechanical<br />

aspect. We make hyperlinks between two bits of <strong>data</strong> only if we think they are<br />

linked conceptually in some way. For example, suppose we want to note the<br />

substantive relations between dentists and patients discussed earlier. We could do so<br />

using the links ‘treat’ and ‘pay’ as in Figure 11.3.<br />

In this respect, linking is akin to categorizing. For the sake of clarity and<br />

consistency we need to create a list of links which we can assign to the links we<br />

observe between bits of <strong>data</strong>. Like our category set, our link list ought to be<br />

conceptually and empirically ‘grounded’—conceptually in the ideas and objectives<br />

which inform our research, empirically in the observations we make of<br />

interrelationships within the <strong>data</strong>. We can devise links in much the same way as we<br />

devise categories—by deriving them from our initial questions and interests, and/or<br />

by inferring them from the <strong>data</strong>. Again we may be influenced by theoretical concerns,<br />

substantive interests, practical policy problems, or rely mainly on generating ideas

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!