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Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems

Bibliographic Data

ID21344697
AuthorsJohn M Felt (0000-0002-7334-6489, Center for Healthy Aging The Pennsylvania State University University Park PA USA, corresponding author), Ulziimaa Chimed-Ochir (0000-0002-2773-4763, Pennsylvania State University), Ulziimaa Chimed‐Ochir (Department of Human Development and Family Studies The Pennsylvania State University University Park PA USA), Kenneth Shores (0000-0003-3039-420X, University of Delaware), Kenneth A Shores (School of Education University of Delaware Newark DE USA), Anneke E Olson (0000-0002-0135-6442, Department of Human Development and Family Studies The Pennsylvania State University University Park PA USA), Yanling Li (0000-0002-8978-7967, Department of Human Development and Family Studies The Pennsylvania State University University Park PA USA), Zachary F Fisher (0000-0003-2744-5141, Department of Human Development and Family Studies The Pennsylvania State University University Park PA USA), Nilam Ram (0000-0003-1671-5257, Department of Communications Stanford University Stanford CA USA), Chad E Shenk (0000-0001-6700-5656, Department of Human Development and Family Studies The Pennsylvania State University University Park PA USA)
Year2024
Volume65
Issue11
Pages1419-1428
Publication date2024-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Child Psychology and Psychiatry (JOURNAL)
Journal identifiersISSN: 0021-9630 • E-ISSN: 1469-7610
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jcpp.13990
PMID38634466
OpenAlexW4394920852
LanguageEN
References cited32

BACKGROUND: When unaddressed, contamination in child maltreatment research, in which some proportion of children recruited for a nonmaltreated comparison group are exposed to maltreatment, downwardly biases the significance and magnitude of effect size estimates. This study extends previous contamination research by investigating how a dual-measurement strategy of detecting and controlling contamination impacts causal effect size estimates of child behavior problems. METHODS: This study included 634 children from the LONGSCAN study with 63 cases of confirmed child maltreatment after age 8 and 571 cases without confirmed child maltreatment. Confirmed child maltreatment and internalizing and externalizing behaviors were recorded every 2 years between ages 4 and 16. Contamination in the nonmaltreated comparison group was identified and controlled by either a prospective self-report assessment at ages 12, 14, and 16 or by a one-time retrospective self-report assessment at age 18. Synthetic control methods were used to establish causal effects and quantify the impact of contamination when it was not controlled, when it was controlled for by prospective self-reports, and when it was controlled for by retrospective self-reports. RESULTS: Rates of contamination ranged from 62% to 67%. Without controlling for contamination, causal effect size estimates for internalizing behaviors were not statistically significant. Causal effects only became statistically significant after controlling contamination identified from either prospective or retrospective reports and effect sizes increased by between 17% and 54%. Controlling contamination had a smaller impact on effect size increases for externalizing behaviors but did produce a statistically significant overall effect, relative to the model ignoring contamination, when prospective methods were used. CONCLUSIONS: The presence of contamination in a nonmaltreated comparison group can underestimate the magnitude and statistical significance of causal effect size estimates, especially when investigating internalizing behavior problems. Addressing contamination can facilitate the replication of results across studies

Developmental psychology · Estimation · Child Abuse and Trauma · Child and Adolescent Psychosocial and Emotional Development · Child and Animal Learning Development · Engineering · Psychology

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