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

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ange <strong>of</strong> tests administered. <strong>The</strong>y also presented figures for patients cross classified by<br />

diagnosis, but they gave no group numbers or indication <strong>of</strong> the range <strong>of</strong> tests performed).<br />

This left a total <strong>of</strong> 11 studies (69, 56, 75, 35, 46, 44, 21, 57, 38, 36, 33) for meta analysis<br />

<strong>of</strong> variables between group categories <strong>of</strong> measurable drawing elements.<br />

<strong>The</strong>re were 5 further dep<strong>art</strong>ures from the tabulated discursive elements between<br />

these 11 studies:<br />

1. Unreliable variables were removed from the analysis.<br />

2. Non significant results were included in the analysis. <strong>The</strong> procedure for<br />

studies which did not quote figures for non-significant variables (studies<br />

38, 69, 56 216 , 35, and 44) was to assume a significance value <strong>of</strong> 1.000 217<br />

(<strong>Study</strong> 38 did note frequent signs and these are marked and noted in the<br />

table).<br />

3. <strong>Study</strong> 44 reported p levels only for their positive results, and these were<br />

converted to Z scores and then into effect sizes, along with results from<br />

tests other than Chi-square or t-tests, which were converted directly to<br />

effect sizes 218 .<br />

4. <strong>Study</strong> 36 and 46 listed but did not test individual variables (they were<br />

grouped and discussed with the other tests under the tabulated areas <strong>of</strong><br />

216 <strong>Study</strong> 56 also reported significant results from other tests on covered space, yellow, blending and<br />

variety <strong>of</strong> colour, but gave no reliability figures or indication <strong>of</strong> the range <strong>of</strong> tests which proved<br />

nonsignificant, so these results were not included.<br />

217 Recommended by Rosenthal (1984) op.cit. p.33.<br />

218 Rosenthal (1984) op.cit. Recommended procedure to convert t or _ 2 to effect size - using broad theory:<br />

Test <strong>of</strong> = Size <strong>of</strong> x Size <strong>of</strong> p.20-21 gives examples <strong>of</strong> relationships and equations.<br />

significance Effect <strong>Study</strong><br />

169

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