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How motivation affects academic performance: A structural equation modelling analysis

机译：动机如何影响学业成绩：结构方程模型分析

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Few studies in medical education have studied effect of quality of motivation on performance. Self-Determination Theory based on quality of motivation differentiates between Autonomous Motivation (AM) that originates within an individual and Controlled Motivation (CM) that originates from external sources. To determine whether Relative Autonomous Motivation (RAM, a measure of the balance between AM and CM) affects academic performance through good study strategy and higher study effort and compare this model between subgroups: males and females; students selected via two different systems namely qualitative and weighted lottery selection. Data on motivation, study strategy and effort was collected from 383 medical students of VU University Medical Center Amsterdam and their academic performance results were obtained from the student administration. Structural Equation Modelling analysis technique was used to test a hypothesized model in which high RAM would positively affect Good Study Strategy (GSS) and study effort, which in turn would positively affect academic performance in the form of grade point averages. This model fit well with the data, Chi square = 1. 095, df = 3, p = 0. 778, RMSEA model fit = 0. 000. This model also fitted well for all tested subgroups of students. Differences were found in the strength of relationships between the variables for the different subgroups as expected. In conclusion, RAM positively correlated with academic performance through deep strategy towards study and higher study effort. This model seems valid in medical education in subgroups such as males, females, students selected by qualitative and weighted lottery selection. ? 2012 The Author(s).
机译：在医学教育中，很少有研究研究动机质量对绩效的影响。基于动机质量的自我决定理论将源自个人的自主动机（AM）与源自外部来源的受控动机（CM）区别开来。为了确定相对自主动机（RAM，衡量AM和CM之间的平衡）是否通过良好的学习策略和更高的学习努力来影响学业成绩，并在以下子组之间进行比较：男性和女性;学生通过两种不同的系统进行选择，即定性和加权彩票选择。阿姆斯特丹VU大学医学中心的383名医学生收集了有关动机，学习策略和努力的数据，并从学生管理部门获得了他们的学习成绩。结构方程模型分析技术用于测试假设的模型，在该模型中，高RAM将对良好学习策略（GSS）和学习努力产生积极影响，进而以平均成绩的形式对学术表现产生积极影响。该模型与数据非常吻合，卡方=1。095，df = 3，p =0。778，RMSEA模型拟合=0。000。该模型也非常适合所有测试的学生分组。发现不同亚组的变量之间的关系强度存在差异，正如预期的那样。总之，通过针对学习的深入策略和更高的学习努力，RAM与学业成绩呈正相关。这种模式在医学教育中似乎对诸如男性，女性，通过定性和加权彩票选择所选择的学生等子组有效。 ？ 2012作者。

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