COMPUTERIZED MEASUREMENT OF THE CONTENT-ANALYSIS OF NATURAL-LANGUAGE FOR USE IN BIOMEDICAL AND NEUROPSYCHIATRIC RESEARCH

Over several decades, the senior author, with various colleagues, has developed an objective method of measuring the magnitude of commonly u seful and pertinent neuropsychiatric and neuropsychological dimensions from the content and form analysis of verbal behavior and natural lan guage. Extensive reliability and validation studies using this method have been published involving English, German, Spanish and many other languages, and which confirm that these Content Analysis Scales can be reliably scored cross-culturally and have construct validity. The val idated measures include the Anxiety Scale (and six subscales), the Hos tility Outward Scale (and two subscales), the Hostility In Scale, the Ambivalent Hostility Scale, the Social Alienation-Personal Disorganiza tion Scale, the Cognitive Impairment Scale, the Depression Scale (and seven subscales), and the Hope Scale. Here, the authors report the dev elopment of artificial intelligence (LISP based) software that can rel iably score these Content Analysis Scales, whose achievement facilitat es the application of these measures to biomedical and, neuropsychiatr ic research.