ABSTRACT Aim To evaluate the psychometric properties of the 10‐item Clinical Outcomes in Routine Evaluation (CORE‐10) in terms of change sensitivity and to develop clinical resources to support its use in routine practice for the Argentine adult population. Specifically, it explored the differentiation between clinical and non‐clinical groups using traditional and data‐driven approaches to determine clinical cut‐off scores. Method Two independent samples were included: a cross‐sectional sample ( n = 637) composed of individuals from the general population and patients initiating therapy, and a longitudinal clinical sample ( n = 148) assessed session‐by‐session. Psychometric analyses included factor structure, internal consistency, and convergent and divergent validity. Sensitivity to change was assessed through standardized effect sizes and mixed‐effects modeling. Clinical cut‐off scores were estimated using therapy status and data‐driven clustering methods. Results The CORE‐10 showed good internal consistency and a unidimensional factor structure with excellent fit. Strong concurrent and acceptable divergent validity were found. Moderate internal responsiveness was observed, and longitudinal analyses confirmed a significant reduction in CORE‐10 scores over time. Clustering methods outperformed traditional therapy‐status classifications, yielding more consistent and interpretable groupings. The optimal cut‐off score derived from K‐Means clustering was 1.39 (SD = 0.36; 95% CI 1.36, 1.42). The reliable change index values were comparable to previous studies. Discussion The CORE‐10 is a reliable and valid tool for monitoring psychological distress and change in Argentine psychotherapy settings. Beyond supporting its psychometric robustness, this study contributes practical, data‐informed resources to improve clinical decision‐making and routine outcome monitoring.
Meglio et al. (Thu,) studied this question.