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

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with a thin painted line; or where a thick painted line appeared together with a<br />

thin drawn line;<br />

2. <strong>The</strong>re was no form measurement; and<br />

3. Space was rated as an estimate <strong>of</strong> how full the picture was in tenths, whereas<br />

further development changed to the more successful 'bubble method' presently<br />

used in Version 3 (main study) and interrater study. Version 2 <strong>of</strong> the DAPA<br />

rating guide can be found in Appendix 4. Scoring procedures were the same.<br />

Treatment <strong>of</strong> missing data<br />

Painting Combination: Not all the subjects completed all the paintings. This could<br />

produce bias, as content in the early paintings is therefore emphasised. A Kruskal-Wallis<br />

ANOVA performed on the groups and the number <strong>of</strong> paintings each patient completed<br />

suggested a trend (_ 2 9.22, df=4, p=0.056). <strong>The</strong> number <strong>of</strong> paintings from each patient<br />

was collapsed into three ordered categories (1; 2, or 3; 4 or 5), and two-way ANOVAs<br />

(No. <strong>of</strong> paintings by diagnostic type) were performed on four significant variables. <strong>The</strong><br />

variable scores did not vary with the number <strong>of</strong> paintings (F=0.02-0.52, df=2, N.S.), and<br />

there were no significant interaction effects (F=0.43-0.59, df=6, N.S.).<br />

Outliers: no extreme values were excluded in study 1 as this was an exploratory study<br />

and numbers were too small to determine whether these were important.<br />

Distribution <strong>of</strong> data: <strong>The</strong>re was no need for transformation <strong>of</strong> data for the initial study<br />

as the Kolmogorov-Smirnov goodness <strong>of</strong> fit test revealed a normal distribution over the<br />

variable spread. Most <strong>of</strong> the raw data was rank-ordered or classificatory, but the final<br />

233

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