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The psychopathology of everyday art: a quantitative Study - World ...

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the features <strong>of</strong> <strong>psychopathology</strong>. This finding, and the fact that some traditional<br />

gradations <strong>of</strong> drawing features were ineffective as discriminators opens up a whole new<br />

area <strong>of</strong> primary exploration in both formal and content evaluation.<br />

Is the DAPA better than other <strong>art</strong> assessments?<br />

<strong>The</strong> question whether the DAPA is better than other <strong>art</strong> assessments is meaningless.<br />

Previous assessment methods have tried to do two jobs: to provide a standardised format<br />

for <strong>art</strong> therapy approaches, and also to provide immediate accessible lists <strong>of</strong><br />

characteristics from an individual picture for the <strong>art</strong> therapist. <strong>The</strong> DAPA assessment<br />

requires much processing and is not suitable for these purposes. No immediate<br />

impression can be gained from its indices. However, no other published <strong>art</strong> assessment,<br />

to my knowledge, provides a replicable, reliable and effective discrimination between<br />

patient groups. Effect size comparison between patients and controls places the DAPA<br />

far above the rest <strong>of</strong> the field. <strong>The</strong> majority <strong>of</strong> other tests assess content as a whole and<br />

then relative to p<strong>art</strong>s; the other apparent structural indexes are hardly mentioned,<br />

although they are commented on qualitatively. <strong>The</strong> DAPA results show that the raw<br />

data for a simplified objective measure <strong>of</strong> content (emotional tone) only just satisfied the<br />

assumptions for ANOVA and the energy-focus <strong>of</strong> the picture (form) did not satisfy the<br />

criteria. Simplified statistics therefore are not appropriate for these measures and as far<br />

as I know, none have taken account <strong>of</strong> distribution bias or <strong>of</strong> correlations between the<br />

variables. This problem <strong>of</strong> multicollinearity, in addition to the problem <strong>of</strong> misused<br />

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