Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in educational and psychological measurement. A key component of CDMs is the Q-matrix characterizing the dependence structure between the items and the latent attributes. Additionally, researchers also assume in many applications certain…

Purpose: Dyslexia is characterized by its diverse causes and heterogeneous manifestations. Chinese children with dyslexia exhibit orthographic, phonological, and semantic deficits across character and radical levels when writing. However, whether character dictation can be used to distinguish children with dyslexia from their typically developing…

Diagnostic uncertainty is prevalent throughout medicine and significantly impacts patient care, especially when it goes unrecognized. However, we lack a reliable clinical means of identifying uncertainty. This study evaluates the narrative discourse within clinical notes in the Electronic Health Record as a means of identifying diagnostic…

At the examination of a patient, a doctor evaluates clinical picture of the disease that manifests itself by a great number of various general and local symptoms caused by an etiological factor and pathogenesis changes of the different organs and systems of the organism. A purpose of the surgical patient examination is making of early, correct and…

Two randomized trials were conducted to determine (1) whether the use of the algorithm system has a measurable effect on the clinical problem-solving behavior of physician's assistants, and (2) if so, which components of the algorithm system account for the effect. Inconclusive findings are reported. (LBH)

This paper provides a description of an online Rorschach interpretation algorithm for the Exner comprehensive system, as well as a study conducted to evaluate the validity of the online interpretive algorithm. The user, systems, and equipment specifications for the algorithm are explained, and the potential advantages of its use to enhance…

Seven data sets (namely, clinical data on children) were subjected to clustering by seven algorithms--the B-coefficient, Linear Typal Analysis; elementary linkage analysis, Numerical Taxonomy System, Statistical Analysis System hierarchical clustering method, Taxonomy, and Bolz's Type Analysis. The little-known B-coefficient method compared…

The extent to which adolescents diagnosed with one or more personality disorders through the Personality Diagnostic Questionnaire-Revised were at an elevated risk of substance abuse was studied with 441 undergraduates. Those with one or more personality disorders showed higher levels of psychiatric symptomatology and substance use. (SLD)

A scoring algorithm for performance assessments is described that is based on expert judgments but requires the rating of only a sample of performances. A regression-based policy capturing procedure was implemented for clinicians evaluating skills of 280 medical students. Results demonstrate the usefulness of the algorithm. (SLD)