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Qualitative_data_analysis

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20 QUALITATIVE DATA ANALYSIS<br />

Figure 2.2 Category relating two similar observations<br />

for a class of objects or events. Where we fail to reach a measure of agreement on<br />

how to define these boundaries, conflicts may arise. This happens, of course, when<br />

teachers ‘define’ school as a place to work but children treat school as a place to<br />

play.<br />

It follows that our observations are concept-laden abstractions from the flow of<br />

experience—and we should be wary of taking these products of our thinking as<br />

enjoying an existence independent of it. We have no independent access to reality<br />

apart from our conceptualizations of it. That does not mean that reality or<br />

experience is reducible to how we observe it—as though, if we were all to shut our<br />

eyes, the world would disappear. Experience is mediated but not determined by the<br />

concepts we use.<br />

We can think of this conceptual process as ‘categorizing’ <strong>data</strong>. In Figure 2.2 two<br />

similar observations in the stream of experience are related in terms of a unifying<br />

category. Clearly categories can refer to a potentially unlimited series of similar<br />

observations.<br />

Even at this level of measurement, where we are only defining the limits or<br />

boundaries of objects or events, we are implicitly using both qualitative and<br />

quantitative measures. To answer the question ‘what counts as a school’ we refer to<br />

our idea of what a school is, i.e. to the meaning of the concept. But these meanings<br />

are typically articulated in relation to a number of observations (or experiences)<br />

through which we define the boundaries of our concept. Concepts are ideas about<br />

classes of objects or events: we decide whether to ‘count’ an observation as belonging<br />

to a category, in terms of whether it fits with a number of similar observations. We<br />

compare this observation with similar examples. So we are already ‘counting’ in<br />

both senses of the word, if the meanings we ascribe to an object or event are stable over<br />

a range of experience.<br />

When we categorize <strong>data</strong> in this way, we make a distinction between this<br />

observation and others. We want to know what makes this observation ‘stand out’<br />

from others. Often this is through an implied contrast—e.g. this is school, not

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