STATISTICAL ANALYSIS OF EXPERIMENTAL WORK AIMED AT DEVELOPING STUDENTS' DIAGNOSTIC COMPETENCE BASED ON THE DD (DIAGNOSTIC DIVERGENCE) MODEL
Keywords:
Diagnostic competence, Diagnostic Divergence (DD) model, statistical analysis, clinical reasoning, medical education, experimental study, reflective practice, interdisciplinary learning, error analysis, decision-making.Abstract
This study presents a comprehensive statistical analysis of experimental work focused on enhancing medical students’ diagnostic competence through the Diagnostic Divergence (DD) model. Using a quasi-experimental design, students were divided into control and experimental groups. Quantitative methods, including descriptive statistics, t-tests, ANOVA, and correlation analysis, were applied to evaluate the impact of the DD model on clinical reasoning, error detection, and decision-making accuracy.
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