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

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Variable<br />

name<br />

Red<br />

Yellow<br />

Orange<br />

Purple<br />

Green<br />

Blue<br />

Brown<br />

White<br />

Black<br />

Intensity<br />

Paint-Line<br />

Draw-Line<br />

Space<br />

Em-Tone<br />

Form<br />

Authorities differ on recommended methods <strong>of</strong> inter-rater reliability statistics,<br />

and there are few previous good examples in this field 277 . A supporting equivalence test,<br />

such as Cronbach's alpha, used to demonstrate internal consistency between items<br />

measuring the same attribute is recommended 278 .<br />

Table 17. to show means and standard deviations* <strong>of</strong> rater scores for each variable over<br />

the sample <strong>of</strong> 7 pictures. <strong>The</strong>re is a maximum <strong>of</strong> 20 point scores for each variable.<br />

Simple counts are used.<br />

Rater 1<br />

5.29(4.31)<br />

7.43(5.47)<br />

3.57(7.16)<br />

5.29(7.57)<br />

6.86(4.88)<br />

9.29(6.63)<br />

5.28(5.50)<br />

0.86(2.27)<br />

12.14(6.31<br />

)<br />

15.38(4.46<br />

)<br />

5.62(4.41)<br />

0.81(1.86)<br />

8.46(5.36)<br />

13.05(4.01<br />

)<br />

5.57(5.56)<br />

*S.D. in parenthesis<br />

Rater 2<br />

6.86(5.52)<br />

7.57(5.00)<br />

3.57(6.88)<br />

4.86(5.90)<br />

6.86(4.95)<br />

9.71(6.50)<br />

3.43(4.58)<br />

1.00(2.65)<br />

11.86(6.31<br />

)<br />

14.48(2.57<br />

)<br />

7.19(4.64)<br />

0.62(1.50)<br />

8.11(4.79)<br />

13.86(2.62<br />

)<br />

4.86(5.96)<br />

Rater 3<br />

6.14(4.88)<br />

7.14(4.49)<br />

3.71(6.97)<br />

4.00(5.45)<br />

6.29(4.96)<br />

8.86(6.23)<br />

3.00(5.20)<br />

1.00(2.65)<br />

11.43(6.21<br />

)<br />

16.19(4.03<br />

)<br />

6.19(3.80)<br />

0.62(1.64)<br />

8.49(4.97)<br />

15.62(3.75<br />

)<br />

4.57(5.88)<br />

Rater 4<br />

6.86(4.26)<br />

7.86(5.61)<br />

2.71(7.18)<br />

4.71(6.78)<br />

5.57(4.04)<br />

8.71(5.94)<br />

4.86(5.43)<br />

1.00(2.65)<br />

12.14(6.54<br />

)<br />

16.33(3.41<br />

)<br />

7.19(4.84)<br />

1.38(3.65)<br />

7.00(3.96)<br />

13.52(3.90<br />

)<br />

4.71(5.88)<br />

225<br />

Rater 5<br />

5.00(4.00)<br />

7.57(5.38)<br />

3.14(7.08)<br />

5.00(6.88)<br />

6.29(4.54)<br />

10.43(6.35<br />

)<br />

3.29(4.72)<br />

0.57(1.51)<br />

11.29(6.52<br />

)<br />

16.86(3.57<br />

)<br />

6.81(4.98)<br />

0.81(2.14)<br />

7.97(4.61)<br />

12.52(4.94<br />

)<br />

4.71(5.88)<br />

Rater 6<br />

5.57(4.20)<br />

7.57(5.88)<br />

2.57(6.80)<br />

3.57(4.79)<br />

6.43(4.47)<br />

10.00(6.35<br />

)<br />

5.43(6.40)<br />

1.00(2.65)<br />

11.71(6.45<br />

)<br />

14.67(4.23<br />

)<br />

6.29(3.82)<br />

0.71(1.89)<br />

7.94(4.66)<br />

13.00(3.21<br />

)<br />

4.86(5.52)<br />

Rater 7<br />

6.43(5.16)<br />

8.14(5.64)<br />

3.14(7.08)<br />

4.14(5.70)<br />

5.86(4.45)<br />

8.14(5.34)<br />

3.14(5.40)<br />

0.00(0.00)<br />

11.86(6.59)<br />

16.67(3.35)<br />

7.76(4.74)<br />

0.76(2.02)<br />

7.34(4.11)<br />

13.76(4.95)<br />

4.57(5.88)<br />

Table 19. Inter-rater reliability showing Cronbach alpha score for internal consistency<br />

<strong>of</strong> scores between raters; and correlation coefficient for linear association between scores<br />

<strong>of</strong> raters.<br />

Variables Cronbach<br />

Alpha<br />

Red<br />

Yellow<br />

Orange<br />

Purple<br />

.987<br />

.994<br />

.995<br />

.993<br />

Intra-Class<br />

.975<br />

.988<br />

.991<br />

.986<br />

277<br />

Graham Dunn (1989), Design and Analysis <strong>of</strong> Reliability Studies: the statistical evaluation <strong>of</strong><br />

measurement errors , London: Arnold, recommends the correlation coefficient; Carol Taylor-Fitzgibbon &<br />

Lynn Lyons-Morris (1987), How to analyse Data , Beverley Hills, CA: SAge, echo the concerns <strong>of</strong> Altman<br />

that linear association does not imply agreement and suggest additional notes <strong>of</strong> discrepancies and<br />

difference statistics.<br />

278 Fitzgibbon & Morris (1987) op.cit.

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