文章基本信息

标题：Logistic Regression Model for the Academic Performance of First-Year Medical Students in the Biomedical Area
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作者：María Esther Urrutia-Aguilar ; Ruth Fuentes-García ; Vargas Danae Mirel Martínez 等
期刊名称：Creative Education
印刷版ISSN：2151-4755
电子版ISSN：2151-4771
出版年度：2016
卷号：07
期号：15
页码：2202-2211
DOI：10.4236/ce.2016.715217
语种：English
出版社：Scientific Research Publishing
摘要：In the medical education field, the prediction of variables that have an impact on the academic performance of students is highly important as supporting programs can be implemented to avoid dropouts or failing scores. Several studies have confirmed the relationship between student performance during the first months at college and the one afterwards; nevertheless, every medical school has its particularities. The objective is to develop a logistic regression model to predict first-year medical students’ performance using academic, psychological and vocational variables as well as learning and strategies for self-motivation. The study is observational, transversal and descriptive. The study group consisted of 1205 first-year medical students. Participants completed questionnaires dealing with general knowledge, psychosocial factors, factors associated with career choice, as well as research and autoregulation strategies inventory. Participation was fully voluntary and the results were used under confidential agreement (NDA). The multiple regression model considered pleasure in academic background, percentage of checkmarks in general knowledge, perceived efficiency (categoric with 3 levels), aptitude, interest in biological sciences and health, follow stablished regulations, drive and the pursue of social prestige as covariables. We conclude that a logistic regression model to predict academic performance, mostly of those medical students under academic risk in the biomedical area, is an efficient tool as it allows valid conclusions for appropriate decision making.
关键词：Academic Performance;Medical Students;Logistic Regression;Biomedical Area