Qualitative_data_analysis
Qualitative_data_analysis
Qualitative_data_analysis
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128 QUALITATIVE DATA ANALYSIS<br />
Once we have opted for a more or less detailed breakdown of the <strong>data</strong>, we can<br />
turn to the problem of selecting and categorizing individual bits of <strong>data</strong>. Let us treat<br />
the first three sentences as our first ‘bit’ of <strong>data</strong>.<br />
[Will life never treat me decently? I am wracked by despair! My head is<br />
pounding.]<br />
There are three sentences here, each expressing a different point. Why treat this as<br />
one bit and not three? The latter would be equally plausible if we required a still<br />
more detailed <strong>analysis</strong>. But the three points are closely related and can be taken to<br />
express a common theme; they describe Vincent’s state of mind. They express his<br />
mental anguish and physical suffering at the unfairness of life. In this sense, they can<br />
be seen as one ‘unit of meaning’. By contrast, there is a sharp break in meaning<br />
between these sentences and the following sentence, which moves on from a<br />
description of Vincent’s state to an explanation of what has happened. At this stage,<br />
it seems reasonable to treat this as a single bit of <strong>data</strong>. Later on, if need be, we can<br />
subdivide the <strong>data</strong> again if this seems required by further <strong>analysis</strong>.<br />
Now that we have selected our first ‘bit of <strong>data</strong>’, let us for convenience call it a<br />
‘<strong>data</strong>bit’. At some point, we must categorize this <strong>data</strong>bit. This need not be done<br />
immediately. We could collect other <strong>data</strong>bits, and then assign them to categories. If<br />
we proceed in this way, it may be convenient to index the <strong>data</strong>bits we collect, so<br />
that we can identify and locate them more easily. We could label this first <strong>data</strong>bit<br />
‘wracked by despair’, for example, and use this label in an index of <strong>data</strong>bits. An<br />
alternative which may be quicker though less intelligible is to allow the computer to<br />
index <strong>data</strong>bits automatically, for example by using the first few words or characters<br />
of the <strong>data</strong>bit. Either way, we should be clear that indexing or labelling the <strong>data</strong>bit<br />
is not an equivalent of categorizing it. As I suggested earlier, we can think of a label<br />
as a proper name which denotes the individual <strong>data</strong>bit. It does not identify it as a<br />
member of a class of objects.<br />
The advantage of this approach is that we can make clearer comparisons between<br />
<strong>data</strong>bits before we assign categories to them. The disadvantage is that in making<br />
such comparisons, we lose sight of the contexts from which the <strong>data</strong>bits are taken.<br />
The computer allows us to retrieve contexts readily, but on balance it may be<br />
preferable to categorize the <strong>data</strong> in context, and then consider comparisons between<br />
the <strong>data</strong>bits.<br />
Let us consider whether and how to categorize this <strong>data</strong>bit. On the face of it, it<br />
has nothing to do with the humour in Vincent’s letter, which resides more<br />
obviously in his aesthetically inspired disfiguration of Mrs Schwimmer and his<br />
complaints of Cézanne’s incompetence. First of all, we need to check whether we