| Literature DB >> 29795931 |
Ivan Donadello1,2, Andrea Spoto3, Francesco Sambo3, Silvana Badaloni3, Umberto Granziol3, Giulio Vidotto3.
Abstract
The clinical assessment of mental disorders can be a time-consuming and error-prone procedure, consisting of a sequence of diagnostic hypothesis formulation and testing aimed at restricting the set of plausible diagnoses for the patient. In this article, we propose a novel computerized system for the adaptive testing of psychological disorders. The proposed system combines a mathematical representation of psychological disorders, known as the "formal psychological assessment," with an algorithm designed for the adaptive assessment of an individual's knowledge. The assessment algorithm is extended and adapted to the new application domain. Testing the system on a real sample of 4,324 healthy individuals, screened for obsessive-compulsive disorder, we demonstrate the system's ability to support clinical testing, both by identifying the correct critical areas for each individual and by reducing the number of posed questions with respect to a standard written questionnaire.Entities:
Keywords: adaptive testing; computerized clinical testing; formal psychological assessment; knowledge space theory
Year: 2016 PMID: 29795931 PMCID: PMC5965628 DOI: 10.1177/0013164416652188
Source DB: PubMed Journal: Educ Psychol Meas ISSN: 0013-1644 Impact factor: 2.821