Berry Jack W, Schwebel David C
University of Alabama at Birmingham, AL 35294-2041, USA.
J Pers. 2009 Oct;77(5):1381-409. doi: 10.1111/j.1467-6494.2009.00586.x. Epub 2009 Jul 22.
This study used two configural approaches to understand how temperament factors (surgency/extraversion, negative affect, and effortful control) might predict child injury risk. In the first approach, clustering procedures were applied to trait dimensions to identify discrete personality prototypes. In the second approach, two- and three-way trait interactions were considered dimensionally in regression models predicting injury outcomes. Injury risk was assessed through four measures: lifetime prevalence of injuries requiring professional medical attention, scores on the Injury Behavior Checklist, and frequency and severity of injuries reported in a 2-week injury diary. In the prototype analysis, three temperament clusters were obtained, which resembled resilient, overcontrolled, and undercontrolled types found in previous research. Undercontrolled children had greater risk of injury than children in the other groups. In the dimensional interaction analyses, an interaction between surgency/extraversion and negative affect tended to predict injury, especially when children lacked capacity for effortful control.
本研究采用两种构型方法来理解气质因素(外向性/外倾性、消极情绪和努力控制)如何预测儿童受伤风险。在第一种方法中,聚类程序应用于特质维度以识别离散的人格原型。在第二种方法中,在预测受伤结果的回归模型中从维度上考虑二维和三维特质交互作用。通过四种测量方法评估受伤风险:需要专业医疗护理的受伤终生患病率、伤害行为清单得分,以及在为期两周的受伤日记中报告的受伤频率和严重程度。在原型分析中,获得了三个气质聚类,类似于先前研究中发现的适应良好型、过度控制型和控制不足型。控制不足的儿童比其他组的儿童有更大的受伤风险。在维度交互分析中,外向性/外倾性和消极情绪之间的交互作用倾向于预测受伤,尤其是当儿童缺乏努力控制能力时。