Suppr超能文献

年龄、性别和教育背景对医学院动机强度的影响。

Effects of age, gender and educational background on strength of motivation for medical school.

机构信息

Rudolf Magnus Institute of Neuroscience, UMC Utrecht, The Netherlands.

出版信息

Adv Health Sci Educ Theory Pract. 2010 Aug;15(3):303-13. doi: 10.1007/s10459-009-9198-7. Epub 2009 Sep 23.

Abstract

The aim of this study was to determine the effects of selection, educational background, age and gender on strength of motivation to attend and pursue medical school. Graduate entry (GE) medical students (having Bachelor's degree in Life Sciences or related field) and Non-Graduate Entry (NGE) medical students (having only completed high school), were asked to fill out the Strength of Motivation for Medical School (SMMS) questionnaire at the start of medical school. The questionnaire measures the willingness of the medical students to pursue medical education even in the face of difficulty and sacrifice. GE students (59.64 ± 7.30) had higher strength of motivation as compared to NGE students (55.26 ± 8.33), so did females (57.05 ± 8.28) as compared to males (54.30 ± 8.08). 7.9% of the variance in the SMMS scores could be explained with the help of a linear regression model with age, gender and educational background/selection as predictor variables. Age was the single largest predictor. Maturity, taking developmental differences between sexes into account, was used as a predictor to correct for differences in the maturation of males and females. Still, the gender differences prevailed, though they were reduced. Pre-entrance educational background and selection also predicted the strength of motivation, but the effect of the two was confounded. Strength of motivation appears to be a dynamic entity, changing primarily with age and maturity and to a small extent with gender and experience.

摘要

本研究旨在确定选择、教育背景、年龄和性别对医学学业动机的影响。本科入学(GE)医学生(具有生命科学或相关领域的学士学位)和非本科入学(NGE)医学生(仅完成高中学业)在入学之初就填写了《医学学业动机量表》(SMMS)问卷。该问卷衡量了医学生在面对困难和牺牲时继续接受医学教育的意愿。与 NGE 学生(55.26 ± 8.33)相比,GE 学生(59.64 ± 7.30)的学习动机更强,女性(57.05 ± 8.28)也比男性(54.30 ± 8.08)更强。线性回归模型可以解释 SMMS 评分中 7.9%的方差,该模型将年龄、性别和教育背景/选择作为预测变量。年龄是唯一最大的预测变量。成熟度,考虑到性别之间的发展差异,被用作预测因子,以纠正男性和女性成熟度的差异。尽管如此,性别差异仍然存在,尽管有所减少。入学前的教育背景和选择也预测了学习动机的强度,但这两个因素的影响是混杂的。学习动机似乎是一个动态的实体,主要随年龄和成熟度而变化,随性别和经验而略有变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8785/2940046/e59e56ea7f7a/10459_2009_9198_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验