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.

214 QUALITATIVE DATA ANALYSIS<br />

Figure 13.5 A small selection of symbols based on computer graphics<br />

our <strong>analysis</strong>. There is no limit to the range and variety of representational devices we<br />

can employ, other than our own imagination and the need to present a clear and<br />

intelligible picture—uncluttered by excessive variation. Figure 13.6, for example, is<br />

a map of Vincent’s first letter, showing some of the key concepts and relationships.<br />

Circles have been used for people, differentiated by patterns between dentists and<br />

patients; boxes have been used for ‘events’ (psychological as well as social),<br />

differentiated between our main categories by vertical and horizontal lines; and<br />

ovals have been used to express consequences.<br />

Figure 13.6 Differentiating concepts through different shapes and patterns<br />

This diagram shows the main features of Vincent’s first letter in terms of the<br />

categories central to our <strong>analysis</strong>. The dentists involved are Vincent and Cézanne.<br />

Through the transpositions of ‘occupation’ and ‘temperament’ these dentists display,<br />

‘suffering’ is inflicted on the patients. We also have something of a vicious circle<br />

here, because Mrs Sol Schwimmer reacts by suing Vincent and exacerbating his<br />

depression.<br />

We can easily incorporate more detail in our map, for example by differentiating<br />

between subcategories as in Figure 13.7.<br />

Maps involve location of one point in relation to another, but they may also<br />

convey information about size as well as position. We can use the size of the shapes<br />

we use to take convey information about the scope of different categories. By scope<br />

I mean the organizing power of the category, or its applicability to the <strong>data</strong>, in terms<br />

of the number of times we have assigned the relevant category to the <strong>data</strong>. In short,<br />

how many <strong>data</strong>bits have been assigned to the relevant category? This may tell us<br />

nothing of the conceptual significance of the category, but it does tell us just how

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

Saved successfully!

Ooh no, something went wrong!