Evaluative Meanings and Disciplinary Values - eTheses Repository ...

Based on the column scores in Table 7.7, each sub-discipline was then projected into each two
dimensional plot of each pattern. Since explaining the interrelationship of samples and
variables, correspondence analysis also produces a plot for all of the individual adjectives
occurring in each pattern: each pair of the plots for sub-disciplines and for adjectives
corresponds to one another. In other words, it is possible to know what sort of adjectives in
the pattern are likely to occur in each sub-discipline by comparing the position of
sub-discipline and adjectives between two plots. (N.B. I have had to abbreviate the adjective
score (i.e. row score) Table here, because it consists of 821 rows, which obviously cannot fit
within the margins of the A4 paper format).
7.5.2. Two-dimensional plots
Based on scores given to each sub-discipline (i.e. column score) and each adjective in the
pattern (i.e. row score), I will present the two kinds of two-dimensional plot for each
high-frequency pattern, all low-frequency patterns, and the whole pattern A DJ PR EP N
respectively. In particular, I reduced the overall number of words presented in the plot of
adjectives in order to improve legibility. (It is often the case in correspondence analysis that
the variables examined overlap each other in the plot. I attempted to ameliorate this problem
by doing this operation: readers can follow the discussion easily by looking at
the revised plot presented here).
To begin, let us consider the plots for the pattern that provided the focus of the case
study presented in Chapter 6, A DJ about N.
Figure 7.1. Sub-discipline plot for the pattern A DJ about N (22.10%)
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