Qualitative_data_analysis
Qualitative_data_analysis
Qualitative_data_analysis
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50 QUALITATIVE DATA ANALYSIS<br />
This approach to connecting concepts is powerful enough in its way, but it<br />
examines relationships as though they were external and contingent. We may or<br />
may not find that art-lovers are also fun-lovers. And if they are, we are no nearer to<br />
understanding why this connection apparently exists between them. I say<br />
‘apparently’ because, of course, we have to allow for the possibility of spurious<br />
correlations and intervening variables. The association of one variable with another<br />
is not sufficient ground for inferring a causal or any other connection between<br />
them. In effect, we have to interpret numbers in terms of meanings. Only if we can<br />
identify an intelligible meaning does the numerical correlation between different<br />
variables acquire significance.<br />
In qualitative <strong>analysis</strong>, we can at least return to the <strong>data</strong> to see whether such a<br />
connection can reasonably be inferred. For example, suppose we observe that most<br />
male advertisers receive replies from women, while most women advertisers receive<br />
replies from men. In other words, there is a high correlation between the gender of<br />
the advertiser and the gender of the respondent. Now, following the approach<br />
outlined above, we could check whether there is any evidence in our <strong>data</strong> explaining<br />
why these events (the advert and the reply) should be correlated in this way. And of<br />
course, we are likely to find such evidence in the expressed sexual preferences of<br />
advertisers and respondents. But in any case, we would have no difficulty in<br />
accepting this correlation as evidence of a significant connection between the events<br />
of advertising and receiving a reply. The reason for our lack of difficulty or doubt is<br />
that we can readily supply a very plausible explanation of the nature of this<br />
connection. This explanation refers to the power of the sex drive and the force of<br />
attraction between the opposite sexes. We could throw in some cultural factors too,<br />
such as the repression of homosexuality or the powerful influence of prevailing social<br />
expectations encouraging heterosexual relationships. These factors can account for<br />
the pattern in our <strong>data</strong>, and give us confidence that we are inferring a genuine<br />
connection between events.<br />
What kind of explanations are these? If they also depend on recognizing some<br />
regular conjunction of events, then we face an infinite regress, where correlations<br />
between variables must be perpetually re-analysed in terms of correlations between<br />
other variables. For example, we could cite the regularity with which men and<br />
women live together as evidence of sexual attraction—but then this regularity in<br />
turn would require explanation. However, our explanation is couched in different<br />
terms. In citing the force of sexual attraction, we are identifying a force familiar to<br />
us all by virtue of our nature as human beings. The sexual drive is an integral part of<br />
the human make-up—even when it is repressed. As such, it is a power (or a<br />
susceptibility) which acts as a causal mechanism in producing particular and<br />
identifiable effects (such as pregnancy). From this perspective, cause is related to<br />
capabilities and liabilities; instead of being external and contingent, it is internal and