A New Measurement of Adverse Childhood Experiences Drawn from the Panel Study of Income Dynamics Child Development Supplement

被引:16
|
作者
Olofson, Mark W. [1 ]
机构
[1] Univ Vermont, Dept Educ Leadership & Policy Studies, Coll Educ & Social Serv, 208 Colchater Dr,202 Mann Hall, Burlington, VT 05405 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
Adverse childhood experiences(ACEs); Confirmatory factor analysis; Panel Study of Income Dynamics; Cumulative risk; Child abuse; Household dysfunction; HOUSEHOLD DYSFUNCTION; MEASUREMENT INVARIANCE; MISSING-DATA; ABUSE; RISK; HEALTH; RECOMMENDATIONS; MALTREATMENT; VARIABLES; EXPOSURE;
D O I
10.1007/s12187-017-9455-x
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
A majority of children in the USA experience adversity in childhood that can negatively impact behavioral and health outcomes in adulthood and adolescence. The Adverse Childhood Experiences (ACEs) framework is a conceptualization of adversity commonly used in health and social sciences research to measure adversity. ACEs researchers frequently employ cumulative risk measurement models, wherein risk factors are dichotomized and summed, yielding a value suitable for further regression analysis. This study describes the construction of an ACEs measurement utilizing a latent variable approach that allows for differential relationships between the indicators and the ACEs measurement, retention of variance within the indicators, and categorization of ACEs indicators along theoretical lines. The resulting two-factor model demonstrates an excellent fit for the data. Comparative tests indicate a significant increase in misfit when data is modeled as a single construct and when all indicators are constrained to being equally related to the measurement. Results from this study indicate the suitability of a latent factor approach to ACEs measurement to bypass difficulties presented by commonly used cumulative risk approaches to ACEs measurement. Additionally, tests of group invariance indicate the suitability of this two-factor model across gendered groups. This study adds to the emerging body of research using latent factor approaches to ACEs measurement. The ACEs measurement model in this study can be used in further research investigating the effects of ACEs utilizing the nationally representative Panel Study of Income Dynamics data set.
引用
收藏
页码:629 / 647
页数:19
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