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 useful and pertinent neuropsychiatric and neuropsychological dimensions from the content and form analysis of verbal behavior and natural language. 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 validated measures include the Anxiety Scale (and six subscales), the Hostility Outward Scale (and two subscales), the Hostility In Scale, the Ambivalent Hostility Scale, the Social Alienation-Personal Disorganization Scale, the Cognitive Impairment Scale, the Depression Scale (and seven subscales), and the Hope Scale. Here, the authors report the development of artificial intelligence (LISP based) software that can reliably score these Content Analysis Scales, whose achievement facilitates the application of these measures to biomedical and neuropsychiatric research.
Gottschalk
L A
LA
Department of Psychiatry and Human Behavior, College of Medicine, University of California, Irvine 92717, USA.
Bechtel
R
R
D003936:Diagnosis, Computer-Assisted; D006801:Humans; D009323:Natural Language Processing; D009484:Neuropsychology / Q000379:methods*; D011569:Psychiatric Status Rating Scales; D012106:Research; D012984:Software; D015443:Word Processing