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首页> 外文期刊>Advances in health sciences education: theory and practice >Effects of age, gender and educational background on strength of motivation for medical school.
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Effects of age, gender and educational background on strength of motivation for medical school.

机译:年龄,性别和教育背景对医学院动机的影响。

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摘要

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.
机译:这项研究的目的是确定选择,教育背景,年龄和性别对就读医学院的动机的影响。要求研究生入学(GE)医学生(具有生命科学或相关领域的学士学位)和非研究生入学(NGE)医学生(仅具有完成的高中生),请填写医学院的动机激励(SMMS) )在医学院开始时的问卷调查。该问卷可以衡量医学生即使面对困难和牺牲也愿意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)具有更高的动力强度,女性(57.05 +/- 8.28)比男性(54.30 +/- 8.08)更高。可以使用线性回归模型解释SMMS得分中7.9%的方差,其中年龄,性别和受教育程度/选择作为预测变量。年龄是最大的预测指标。考虑到性别之间的发育差异,成熟度被用作校正男性和女性成熟差异的预测因子。尽管性别差异有所减少,但仍然占主导地位。入学前的教育背景和选拔也可以预测动机的强度,但两者的效果却令人困惑。动机的力量似乎是一个动态的实体,主要随着年龄和成熟度的变化而变化,并在很小程度上随着性别和经验的变化而变化。

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