Self-Assessment of Problem Solving Disposition in Medical Students
Author(s) -
Silvia Lizett Olivares Olivares,
Mildred Vanessa López Cabrera
Publication year - 2014
Publication title -
journal of biomedical education
Language(s) - English
Resource type - Journals
eISSN - 2314-5021
pISSN - 2314-503X
DOI - 10.1155/2014/161204
Subject(s) - cronbach's alpha , disposition , pace , medical education , psychology , subcategory , perception , health care , consistency (knowledge bases) , mathematics education , applied psychology , medicine , psychometrics , computer science , social psychology , clinical psychology , mathematics , artificial intelligence , geodesy , neuroscience , economic growth , pure mathematics , economics , geography
Medical schools are committed to both students and society to develop capabilities required to succeed in health care environments. Present diagnosis and treatment methods become obsolete faster, demanding that medical schools incorporate competency-based education to keep pace with future demands. This study was conducted to assess the problem solving disposition of medical students. A three-subcategory model of the skill is proposed. The instrument was validated on content by a group of 17 experts in medical education and applied to 135 registered students on the sixth year of the M.D. Physician Surgeon program at a private medical school. Cronbach’s alpha indicated an internal consistency of 0.751. The findings suggest that selected items have both homogeneity and validity. The factor analysis resulted in components that were associated with three problem-solving subcategories. The students’ perceptions are higher in the pattern recognition and application of general strategies for problem solving subcategories of the Problem solving disposition model
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