Factor Analysis of Adverse Childhood Experiences in the Future of Families and Child Wellbeing Study Sample

心理学 验证性因素分析 忽视 虐待儿童 毒物控制 身体虐待 心理健康 童年不良经历 发展心理学 临床心理学 测量不变性 儿童忽视 潜在类模型 操作化 心理干预 自杀预防 精神科 医学 结构方程建模 环境卫生 认识论 哲学 统计 数学
作者
Chelsea R. Moore,Todd I. Herrenkohl,Sarah A. Stoddard
出处
期刊:Journal of Interpersonal Violence [SAGE Publishing]
标识
DOI:10.1177/08862605251355626
摘要

Adverse Childhood Experiences (ACEs), including exposure to abuse, neglect, or other significant household challenges within the first 18 years of life, have been associated with myriad negative health and wellbeing outcomes, particularly when assessed as a composite index of ACE types. Increasingly, ACEs have been operationalized as indicators of latent constructs of adversity; however, the dimensionality of latent ACE constructs remains unclear. Further, measurement invariance of latent ACE constructs has not yet been confirmed across youth of different economic backgrounds, which limits our ability to compare ACE effects across these distinct subgroups. Using a dataset optimal for ongoing ACE-related research, the Future of Families and Child Wellbeing Study, we examined the factorial structure of seven ACEs (i.e., harsh physical discipline, emotional/verbal abuse, neglect, parent mental illness, parent problematic substance use, parent incarceration, and parent intimate partner violence) and examined measurement invariance of the identified factors for youth born into poverty compared to their peers not born into poverty. Exploratory and confirmatory factor analyses revealed a two-factor solution, distinguishing experiences of child maltreatment from parent challenges. Measurement invariance (including configural, metric, and scalar) across our subgroups was confirmed. Our findings establish a foundation upon which ongoing ACE research and intervention development can be built. Congruent with increasing calls from the field, our findings support that ACEs should be studied as two distinct sub-dimensions of adversity, which may confer differential risk for negative outcomes, thereby potentially informing more tailored interventions.
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