Gottschalk L A, Stein M K, Shapiro D H
University of California, Irvine, USA.
J Clin Psychol. 1997 Aug;53(5):427-41. doi: 10.1002/(sici)1097-4679(199708)53:5<427::aid-jclp3>3.0.co;2-k.
Twenty-five new psychiatric outpatient were clinically evaluated and were routinely administered a brief psychological screening battery which included measures of symptoms, personality, and cognitive function. Included in this assessment procedure were the Gottschalk-Gleser Content Analysis Scales on which scores were derived from five-minute speech samples by means of an artificial intelligence-based computer program. Intercorrelations of these content analysis measures with scores obtained from the MMPI-2, SCL90, and other measures confirmed previously published construct validation findings. The use of this computerized content analysis procedure for initial, rapid diagnostic neuropsychiatric appraisal is supported by this research.
对25名新的精神科门诊患者进行了临床评估，并常规给予一套简短的心理筛查量表，其中包括症状、人格和认知功能的测量。该评估程序包括戈特沙尔克-格勒泽内容分析量表，其分数是通过一个基于人工智能的计算机程序从五分钟的言语样本中得出的。这些内容分析测量与从明尼苏达多相人格调查表-2（MMPI-2）、症状自评量表90（SCL90）和其他测量中获得的分数之间的相互关系证实了先前发表的结构效度研究结果。这项研究支持将这种计算机化内容分析程序用于初步的、快速的诊断性神经精神评估。
