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首页> 外文期刊>Journal of psychoeducational assessment >Trait Emotional Intelligence and University Graduation Outcomes: Using Latent Profile Analysis to Identify Students at Risk for Degree Noncompletion
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Trait Emotional Intelligence and University Graduation Outcomes: Using Latent Profile Analysis to Identify Students at Risk for Degree Noncompletion

机译：特质情绪智力和大学毕业成果：使用潜在特征分析来识别有学位不完成风险的学生

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摘要

This study explored the utility of trait emotional intelligence (EI) for predicting students' university graduation outcomes six years after enrolment in university. At the start of the program, 1,015 newly registered students completed a brief multidimensional self-report EI assessment and provided consent to track their subsequent degree progress via official university records. Using latent profile analysis (LPA), participants were sorted into five classes that differed in the overall EI level and in the relative strengths and weaknesses on individual EI dimensions. Greater likelihood of degree noncompletion at the 6-year follow-up was uniquely associated with having a low-EI profile with particularly pronounced weaknesses in the interpersonal and stress management domains, after controlling for high school grades and gender. Comparative levels of predictive utility could not be achieved by examining scores on each EI dimension independently. Authors discuss practical advantages of LPA over traditional variable-centered approaches for identifying and assisting students at risk for degree noncompletion.
机译：这项研究探索了特质情绪智力（EI）预测大学入学六年后学生的大学毕业结果的效用。在计划开始时，1,015名新注册的学生完成了简短的多维自我报告EI评估，并表示同意通过大学的正式记录跟踪其随后的学位进度。使用潜在特征分析（LPA），将参与者分为五个类别，这些类别在总体EI水平以及各个EI维度的相对优势和劣势方面有所不同。在控制了高中等级和性别之后，在6年的随访中出现学位不完成的可能性更大，这与低EI值，人际关系和压力管理领域的弱点特别相关。通过独立检查每个EI维度的得分无法达到比较效用的预测效用。作者讨论了LPA相对于传统的以变量为中心的方法在识别和协助有学位不完成风险的学生方面的实际优势。

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