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262 QUALITATIVE DATA ANALYSIS<br />

The observations we have made have been informed throughout by our<br />

conceptualizations. No more than in any other form of research can qualitative<br />

<strong>analysis</strong> provide some kind of ‘privileged’ access to ‘how things really are’<br />

independently of our ways of thinking about them.<br />

Before we despair, however, or abandon ourselves to an unalloyed subjectivity<br />

(which for a social scientist is much the same thing), let us take heart from our example<br />

of time. We can accept without qualms the idea that my watch is ‘valid’ if it tells the<br />

right time. And how do we tell the ‘right’ time? To check the validity of my watch, I<br />

rely on other measurements of time. In my case, I watch the six o’clock news, or I<br />

phone the speaking clock. If the time on my watch is consistent with the time as<br />

measured by other ‘instruments’ like the speaking clock, I am happy to accept it as a<br />

valid measure. This is so, incidentally, even though I have no idea of what time<br />

‘really’ is. The common sense view of time is that an interval between two events<br />

would be the same for all observers. This does not fit with my psychological<br />

experience of time (I find the hour in which I give a lecture tends to pass very<br />

quickly, but the hour in which I listen to a lecture passes very slowly!). Nor does it<br />

fit with the modern physicist’s view, where time is not separate from space, each<br />

observer has his own measure of time, and identical clocks carried by different<br />

observers won’t necessarily agree (Hawking 1988:18–22).<br />

This process of checking the validity of my watch is more complex than it might<br />

at first appear. Let us consider it more closely. Suppose I have a digital watch with a<br />

range of functions. To check the time, I look at my watch and read off a set of<br />

numbers. What have these numbers got to do with what time it is? The answer may<br />

be—nothing. I could be looking at the date, or the time that I have set the alarm to<br />

wake me up tomorrow morning. The first thing I have to be sure of is that the<br />

numbers I’m looking at are about what time it is, and not about something<br />

completely different. If my watch only has one function, then of course I can be<br />

pretty sure. But even so, this assumes that I have at some point set the watch so that<br />

it will tell the time. If my niece has in the meantime got hold of my watch, and<br />

treated it as an interesting toy rather than a measuring instrument, I may be misled.<br />

If the reading I make doesn’t ‘fit’ with the reading I’d expect if my watch was telling<br />

the time, I may begin to doubt its validity as a measure of time. This fit (or lack of<br />

it) between our observations (the numbers) and our concept (‘telling the time’) is aptly<br />

called the ‘face’ validity of a measure. We have to decide whether ‘on the face of it’<br />

the observation is consistent with the concept. In the case of the watch, this may be<br />

so straightforward that we take it for granted. But in qualitative <strong>analysis</strong>, the fit<br />

between observations and concepts may be far less obvious.<br />

Once I’m satisfied that my watch is telling the time, I want to know if it’s the<br />

‘right’ time, and I check it against the time given by the speaking clock. In making<br />

this comparison, I am implicitly assuming that telling the time with my watch is

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