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

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than a fill colour, but no colour is p<strong>art</strong>icularly associated with form so there was no<br />

consistent fill or outline colour.<br />

Conclusion for the discussion <strong>of</strong> results<br />

<strong>The</strong> results from the DAPA scales follow the general direction <strong>of</strong> the empirical literature<br />

in that psychiatric pictures were shown to use less colour, were <strong>of</strong> lower intensity, fewer<br />

lines were drawn and painted, they left more space, were less positive in content and<br />

contained less dominant form than pictures by controls. However, the results do not<br />

agree with most <strong>of</strong> the diagnostic differentiations between patient groups suggested by<br />

the early impressionistic literature. DAPA results also disagree in the magnitude <strong>of</strong> the<br />

patient/control differences.<br />

Summary: <strong>The</strong>re are two related likely explanations which have probably polarised the<br />

patient/control differences and suggested other differences between patients because they<br />

are antithetical strategies:<br />

1. Reports from the literature could have emphasised the importance <strong>of</strong> p<strong>art</strong> <strong>of</strong> a<br />

picture because <strong>of</strong> the overwhelming influence <strong>of</strong> content on subjective<br />

judgement;<br />

2. <strong>The</strong> way the DAPA scores pictures reduces the importance <strong>of</strong> p<strong>art</strong> <strong>of</strong> a picture<br />

because it measures the distribution <strong>of</strong> an element over the picture plane, rather<br />

than concentrating on how a message is conveyed over p<strong>art</strong> <strong>of</strong> it. If small, the<br />

focus point <strong>of</strong> a picture could have quite intense scores but the picture would<br />

score mainly from the material surrounding it, in the production <strong>of</strong> averages.<br />

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