Víctor Arias González

An in-depth psychometric analysis of the Connor-Davidson Resilience Scale: calibration with Rasch-Andrich model

BackgroundThe Connor-Davidson Resilience Scale (CD-RISC) is inarguably one of the best-known instruments in the field of resilience assessment. However, the criteria for the psychometric quality of the instrument were based only on classical test theory.MethodThe aim of this paper has focused on the calibration of the CD-RISC with a nonclinical sample of 444 adults using the Rasch-Andrich Rating Scale Model, in order to clarify its structure and analyze its psychometric properties at the level of item.ResultsTwo items showed misfit to the model and were eliminated. The remaining 22 items form basically a unidimensional scale. The CD-RISC has good psychometric properties. The fit of both the items and the persons to the Rasch model was good, and the response categories were functioning properly. Two of the items showed differential item functioning.ConclusionsThe CD-RISC has an obvious ceiling effect, which suggests to include more difficult items in future versions of the scale.

A collaborative clinical simulation model for the development of competencies by medical students

Abstract Herein, we present a new collaborative clinical simulation (CCS) model for the development of medical competencies by medical students. The model is a comprehensive compendium of published considerations and recommendations on clinical simulation (CS) and computer-supported collaborative learning (CSCL). Currently, there are no educational models combining CS and CSCL. The CCS model was designed for the acquisition and assessment of clinical competencies; working collaboratively and supported by technology, small groups of medical students independently design and perform simulated cases. The model includes four phases in which the learning objectives, short case scenarios, materials, indices, and the clinical simulation are designed, monitored, rated and debriefed.