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大学生人格特质对抑郁水平的影响：基于随机森林模型分析
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Abstract:
目的：运用随机森林算法研究大学生人格特质对抑郁水平的影响。方法：采用中国大五人格问卷极简版、抑郁自评量表对1436名大学生进行测量。使用回归模型分析大学生人格特质是否影响其抑郁水平，通过R语言构建随机森林模型分析大学生人格特质对抑郁水平的重要性。结果：回收到有效问卷1368份，问卷有效率为95.3%。回归模型显示，大学生人格特质对其心理健康的影响有统计学意义。随机森林模型显示，大学生人格特质对抑郁水平的影响按重要性排名分别是神经质、责任心、宜人性、开放性、外倾性。结论：人格特质是影响大学生心理健康中的抑郁水平的重要因素。测量大学生的人格特质，是识别和干预大学生抑郁水平的有效途径。
Objective: The random forest algorithm was used to explore the influence of personality traits on depression level of college students. Methods: 1436 college students were measured by the Chinese Big Five Personality Questionnaire Inventory Brief 15-item Version and Self-rating Depression Scale. Regression model was used to analyze whether college students’ personality traits affected their depression level, and R language was used to construct a random forest model to analyze the importance of college students’ personality traits to depression level. Results: 1368 valid questionnaires were collected, the effective rate was 95.3%. The regression model shows that the influence of college students’ personality traits on their mental health has statistical significance. Random Forest model shows that the influence of personality traits on depression level of college students is neuroticism, conscientiousness, agreeableness, openness and extraversion. Conclusion: Personality trait is an important factor affecting the level of depression in college students’ mental health. Measuring the personality traits of college students is an effective way to identify and intervene in their levels of depression.
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