Theoretical and Quantitative Disconnect When Modeling Adverse Childhood Experiences Using a Common Factor Framework: An Argument for Causal Indicator Models in Stressor Research
{"title":"Theoretical and Quantitative Disconnect When Modeling Adverse Childhood Experiences Using a Common Factor Framework: An Argument for Causal Indicator Models in Stressor Research","authors":"Daniel P. Moriarity, George M. Slavich","doi":"10.1111/cdev.14230","DOIUrl":null,"url":null,"abstract":"Adverse childhood experiences (ACEs) are highly impactful stressors that increase individuals' risk for a plethora of negative developmental and health outcomes. Furthermore, minoritized groups and under-resourced individuals are at higher risk for ACEs, positioning these stressors as possible mechanisms driving health disparities. Given this fact, a strong methodological foundation is necessary to ensure maximal clinical value. As emphasized by Jensen et al. (https://doi.org/10.1111/cdev.14050), this foundation must begin with rigorous ACEs measurement—a goal that requires careful matching between ACEs measures and the scoring procedures used. To amplify their message while advocating for an alternative approach that may better reflect the conceptualization of ACEs, we write this commentary to highlight the merits of causal indicator models as a better match between theory and methodology.","PeriodicalId":10109,"journal":{"name":"Child development","volume":"91 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child development","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1111/cdev.14230","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Adverse childhood experiences (ACEs) are highly impactful stressors that increase individuals' risk for a plethora of negative developmental and health outcomes. Furthermore, minoritized groups and under-resourced individuals are at higher risk for ACEs, positioning these stressors as possible mechanisms driving health disparities. Given this fact, a strong methodological foundation is necessary to ensure maximal clinical value. As emphasized by Jensen et al. (https://doi.org/10.1111/cdev.14050), this foundation must begin with rigorous ACEs measurement—a goal that requires careful matching between ACEs measures and the scoring procedures used. To amplify their message while advocating for an alternative approach that may better reflect the conceptualization of ACEs, we write this commentary to highlight the merits of causal indicator models as a better match between theory and methodology.
期刊介绍:
As the flagship journal of the Society for Research in Child Development (SRCD), Child Development has published articles, essays, reviews, and tutorials on various topics in the field of child development since 1930. Spanning many disciplines, the journal provides the latest research, not only for researchers and theoreticians, but also for child psychiatrists, clinical psychologists, psychiatric social workers, specialists in early childhood education, educational psychologists, special education teachers, and other researchers. In addition to six issues per year of Child Development, subscribers to the journal also receive a full subscription to Child Development Perspectives and Monographs of the Society for Research in Child Development.