Hacking S, Foreman D, Belcher J
Keele University, Department of Psychiatry, School of Post Graduate Medicine, North Staffordshire Hospital, Staffordshire, England.
J Nerv Ment Dis. 1996 Jul;184(7):425-30. doi: 10.1097/00005053-199607000-00005.
This pilot study reports the development of a coding system for quantitative analysis of paintings produced by psychiatric patients. Color, color intensity, quality of line, space covered, and subjectively judged emotional tone as characteristics of paintings were recorded in each section of a grid superimposed over the picture. A sample of 39 psychiatric patients were classified into 4 groups using ICD-10 criteria: depression, psychosis, brain injury, and drug abuse. Six independent raters achieved excellent reliability across all scales on each of eight pictures. Analysis of variance results show that each diagnostic group differed on 4 of 13 variables: yellow, orange, color intensity, and line (p < .02). The prospects for further research are discussed.
这项初步研究报告了一种用于对精神病患者绘画作品进行定量分析的编码系统的开发。作为绘画作品特征的颜色、颜色强度、线条质量、覆盖空间以及主观判断的情感基调，都记录在叠加在画作上的网格的每个部分中。使用国际疾病分类第十版（ICD - 10）标准将39名精神病患者样本分为4组：抑郁症、精神病、脑损伤和药物滥用。六名独立评分者对八幅图片中的每一幅在所有量表上都达到了极高的信度。方差分析结果表明，每个诊断组在13个变量中的4个变量上存在差异：黄色、橙色、颜色强度和线条（p < .02）。文中还讨论了进一步研究的前景。
