CART analysis with unit-weighted regression to predict suicidal ideation from Big Five traits
CART analysis with unit-weighted regression to predict suicidal ideation from Big Five traits
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DOI：
10.1016/s0191-8869(02)00174-5
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发表时间：
2003-07-01
影响因子：
4.3
通讯作者：
Kerby, DS
中科院分区：
文献类型：
--
作者：
Kerby, DS
本研究考察了五大特征作为自杀意念的多重预测因素。除了使用多元回归之外，本研究还引入了使用分类回归树（CART）分析来确定可用于单位加权回归的截止分数；这种方法的目的是提供一种分析方法，可能对预防自杀的公共卫生方法有用。模型由衍生组（N = 299）开发，并应用于验证组（N = 175）。两种模型在验证组均表现良好，多元回归相关系数为0.47，单位加权回归相关系数为0.48。这些模型一致表明，自杀意念的增加与高神经质、低外向性和低宜人性有关。单位加权回归结果显示，低责任心与自杀意念相关。(C) 2002 Elsevier Science Ltd.版权所有。
This study examines the Big Five traits as multiple predictors of suicidal ideation. In addition to using multiple regression, this study introduces the use of classification and regression tree (CART) analysis to identify cutoff scores that can be used with unit-weighted regression; the purpose of this approach is to offer a method of analysis that may be useful in a public health approach to suicide prevention. The models were developed with a derivation group (N = 299) and applied to a validation group (N = 175). Both models performed well in the validation group, with multiple regression correlating at 0.47, and unit-weighted regression at 0.48. The models agreed in suggesting that increased suicidal ideation is associated with high Neuroticism, low Extraversion, and low Agreeableness. Low Conscientiousness was correlated with suicidal ideation in unit-weighted regression. (C) 2002 Elsevier Science Ltd. All rights reserved.