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Evaluative Meanings and Disciplinary Values - eTheses Repository ...

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that correspondence analysis is not affected by text or corpus size is a further reason why I<br />

have chosen to adopt correspondence analysis for the purposes of the current study.<br />

4.4. Conclusion<br />

The aim of this chapter has been to introduce correspondence analysis, <strong>and</strong> to demonstrate its<br />

suitability to the current study. A correspondence analysis visualizes the complex<br />

interrelations between qualitative variables <strong>and</strong> samples obtained by corpus-based language<br />

studies. This means that correspondence analysis is particularly well suited to automatic text<br />

categorization. Accordingly, I propose to utilize a correspondence analysis for 16 kinds of<br />

data matrices for the pattern A DJ PR EP N in the current study. It is hoped that the output in a<br />

two-dimensional plot will present a complex <strong>and</strong> detailed picture of the interrelations within<br />

<strong>and</strong> between sub-disciplines of two academic disciplines (i.e. applied linguistics <strong>and</strong> business<br />

studies) <strong>and</strong> their pattern use (see the details in Chapter 7). Such an analysis will also tell us in<br />

more general terms whether a clear line can be drawn between the two disciplines in terms of<br />

their adjective pattern usage.<br />

sub-disciplinary corpus is somewhat different in its size respectively. Thus, I decided to use a correspondence analysis with<br />

raw frequency data in the current study.<br />

56

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