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

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which were not significant - and I would totally disagree with the assumption that<br />

negative coefficients implied another characteristic was a strong indicator <strong>of</strong><br />

predictability, especially when the variable itself was tested, but not included: eg. "a<br />

striking feature <strong>of</strong> dysthymia was light pressure" (indicated by a negative coefficient on<br />

medium and heavy pressure). <strong>The</strong> t-values for heavy pressure were greater than one in<br />

both picture A and B, which merited some discussion, but surely this indicated heavy<br />

pressure was not applied, not that light pressure was applied! One <strong>of</strong> the study variables<br />

was light pressure - why was it not included in the results? Similarly monochrome as a<br />

significant characteristic is inferred from the negative correlations on multicoloured<br />

pictures from schizophrenic patients. Monochrome was one <strong>of</strong> the study variables, why<br />

was it not included in the schizophrenia results if it was a significant characteristic? 183<br />

It is obvious the technique <strong>of</strong> multiple regression is not appropriate for this<br />

analysis, as reflected in the low levels <strong>of</strong> the multiple r-squared statistic 184 and does not<br />

do justice to the clinical merit <strong>of</strong> the DDS.<br />

When the DAPA was being developed, the DDS was already rather famous.<br />

Over 10 years, it has developed a 4 page resources list 185 . I contacted the DDS team and<br />

183 <strong>The</strong> DDS team have declined to answer any <strong>of</strong> these serious criticisms. <strong>The</strong>y have also ignored my<br />

requests for clarification <strong>of</strong> their methods, since they are no longer in contact with their statistician. But<br />

the DDS team are still encouraging <strong>art</strong> therapists to use this measure and bring in new work (DDS<br />

Newsletter Dec. 1998).<br />

184 Multiple r 2 measures the fit <strong>of</strong> the model to the information provided - the closer to 1 the better. A<br />

good fit would typically be 0.7-0.99. <strong>The</strong> DDS results were: Dysthymia 0.15; Depression 0.10:<br />

Schizophrenia 0.22; Control 0.44. <strong>The</strong> control shows the best fit and the t-statistics are significant on<br />

more variables, but very weak. However, if the numbers in the group are very different - as is hinted in<br />

the paper, this might have a confounding effect.<br />

185<br />

DDS Resource List (1988) unpublished. 64 items mostly unpublished in cassette form. All published<br />

material is discussed in this thesis.<br />

120

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