Comparing cumulative index and factor analytic approaches to measuring maltreatment in the National Longitudinal Study of Adolescent to Adult Health
Comparing cumulative index and factor analytic approaches to measuring maltreatment in the National Longitudinal Study of Adolescent to Adult Health
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DOI：
10.1016/j.chiabu.2018.08.014
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发表时间：
2019-01-01
影响因子：
4.8
通讯作者：
Jaffee, Sara R.
中科院分区：
文献类型：
--
作者：
Brumley, Lauren D.;Brumley, Benjamin P.;Jaffee, Sara R.
虐待儿童是一个复杂和多方面的概念，需要先进的统计技术来改善其计量。目前的研究比较了累积指数的预测效用的因素分析方法构建一个衡量虐待。数据来自国家青少年至成人健康纵向研究的第III和第IV波（第III波：n = 14，800;第IV波：n = 12，288）。作为成年人，参与者回顾性地报告了他们童年时期的身体虐待，性虐待，情感虐待，身体忽视，监督忽视和社会服务调查的经历。累积指数和两个因素的解决方案都显示出收敛有效性的证据，预测无家可归的终身发病率，被支付的性，和各种措施的逃离或生活分开的亲生父母，并前瞻性地预测抑郁症，物质使用和犯罪行为。潜变量，来自因素分析方法，有更大的解释力，许多结果相比，累积指数，即使在控制社会人口变量。结果表明，因素分析是一个更好的方法，而不是累积指数来衡量虐待在大型数据集时，外部结果的解释力是最关心的。
Child maltreatment is a complex and multifaceted construct in need of advanced statistical techniques to improve its measurement. The current study compared the predictive utility of a cumulative index to a factor analytic approach for constructing a measure of maltreatment. Data were from Waves III and IV of the National Longitudinal Study of Adolescent to Adult Health (Wave III: n = 14,800; Wave IV: n = 12,288). As adults, participants retrospectively reported on their childhood experiences of physical abuse, sexual abuse, emotional abuse, physical neglect, supervisory neglect, and social services investigations. Both the cumulative index and a two factor solution showed evidence of convergent validity, predicting lifetime incidence of homelessness, being paid for sex, and various measures of running away or living apart from biological parents, and prospectively predicting depression, substance use, and criminal behavior. The latent variables, derived from a factor analytic approach, had greater explanatory power for many outcomes compared to the cumulative index, even when controlling for sociodemographic variables. Results suggest that factor analysis is a better methodology than a cumulative index for measuring maltreatment in large datasets when explanatory power for external outcomes is of greatest concern.