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.

202 QUALITATIVE DATA ANALYSIS<br />

Figure 13.1 Textual and diagrammatic displays of information<br />

Diagrams are not immune to the problems which can afflict text. Overburdened<br />

with detail, they can become cluttered. Overburdened with complexity, they can<br />

become inaccessible. In using diagrams, the watch-words ‘simplicity’ and ‘clarity’<br />

have much to commend them. Diagrams can also be very seductive. They can<br />

tempt us to impose an order on the <strong>data</strong>, perhaps for the sake of simplicity and<br />

clarity, which is neither adequate nor accurate. We can therefore add ‘relevance’ and<br />

‘appropriateness’ to our list of watchwords. Precisely because they are such powerful<br />

tools for condensing <strong>data</strong> and comparing categories, diagrams must be handled with<br />

care.<br />

In this chapter I shall consider two sorts of diagrams we might use: matrices and<br />

maps. A matrix means a rectangular array of <strong>data</strong> in rows and columns, though it<br />

can also mean a womb or a place where a thing is developed (Concise Oxford<br />

Dictionary 1976:674). Both meanings are apt; the latter tells us what we can<br />

accomplish through a matrix, namely the development of our <strong>analysis</strong>; and the former<br />

tells us how it can be accomplished, namely by systematic organization through<br />

cross-tabulation of our <strong>data</strong>. Maps are less structured representations of selected<br />

features of our <strong>analysis</strong>, which can be used both to denote significance (giving<br />

prominence by putting something ‘on the map’) and to relate the different elements<br />

of our <strong>analysis</strong>.<br />

MATRICES<br />

We can use matrices to compare information across cases. For example, Table 13.1<br />

shows how we can analyse information about the letters Vincent has written to

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

Saved successfully!

Ooh no, something went wrong!