BACKGROUND The aim of the study was to analyze the influence of potentially important individual variables (motivation, satisfaction with the course, self-regulation, expectations of self-efficacy and perception of academic performance) on the intention to remain on university courses. METHOD An ex-post-facto design was used, applying the University Life Questionnaire to a sample of 2,741 first-year students from six Chilean universities. Data were analyzed by path analysis. RESULTS The intention to remain is higher when intrinsic motivation is higher, self-efficacy expectations are higher, the perception of performance is higher and satisfaction with the course is higher. All the variables included in the model explained 26% of the intention to remain. CONCLUSIONS The study confirms the suitability of studying this phenomenon through complex models (e.g., structural equation models, multilevel models), since it makes little sense to try to explain dropout only through direct effects (as in most previous research). Secondly, the percentage of variance explained by dropout intention means it is important to continue this kind of research (with better controls, other types of measures, etc.).

中文翻译：

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涉及大学辍学结构预测的情感和认知变量。

背景研究的目的是分析潜在重要个人变量（动机，对课程的满意度，自我调节，对自我效能的期望以及对学习成绩的感知）对留在大学课程的意愿的影响。方法采用事后设计，将大学生活问卷应用于来自智利六所大学的2741名一年级学生的样本中。通过路径分析来分析数据。结果当内在动机更高，自我效能期望更高，对绩效的感知更高，对过程的满意度更高时，保持意愿更高。模型中包含的所有变量都说明了26％的保留意愿。结论该研究证实了通过复杂模型（例如，结构方程模型，多级模型）研究此现象的适用性，因为试图仅通过直接影响来解释辍学是没有意义的（就像大多数以前的研究一样）。其次，由辍学意愿解释的方差百分比意味着继续进行此类研究（具有更好的控制，其他类型的措施等）非常重要。