Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems / John M. FELT in Journal of Child Psychology and Psychiatry, 65-11 (November 2024)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1419-1428 Titre : Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems Type de document : Texte imprimé et/ou numérique Auteurs : John M. FELT, Auteur ; Ulziimaa CHIMED-OCHIR, Auteur ; Kenneth A. SHORES, Auteur ; Anneke E. OLSON, Auteur ; Yanling LI, Auteur ; Zachary F. FISHER, Auteur ; Nilam RAM, Auteur ; Chad E. SHENK, Auteur Article en page(s) : p.1419-1428 Langues : Anglais (eng) Mots-clés : Child maltreatment  contamination  synthetic control method  causal estimation  internalizing behaviors  externalizing behaviors Index. décimale : PER Périodiques Résumé : 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. En ligne : https://doi.org/10.1111/jcpp.13990 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 [article] Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems [Texte imprimé et/ou numérique] / John M. FELT, Auteur ; Ulziimaa CHIMED-OCHIR, Auteur ; Kenneth A. SHORES, Auteur ; Anneke E. OLSON, Auteur ; Yanling LI, Auteur ; Zachary F. FISHER, Auteur ; Nilam RAM, Auteur ; Chad E. SHENK, Auteur . - p.1419-1428. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1419-1428 Mots-clés : Child maltreatment  contamination  synthetic control method  causal estimation  internalizing behaviors  externalizing behaviors Index. décimale : PER Périodiques Résumé : 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. En ligne : https://doi.org/10.1111/jcpp.13990 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537

Controlling contamination in child maltreatment research: Impact on effect size estimates for child behavior problems measured throughout childhood and adolescence / Chad E. SHENK in Development and Psychopathology, 34-4 (October 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-4 (October 2022) . - p.1287-1299 Titre : Controlling contamination in child maltreatment research: Impact on effect size estimates for child behavior problems measured throughout childhood and adolescence Type de document : Texte imprimé et/ou numérique Auteurs : Chad E. SHENK, Auteur ; Joseph R. RAUSCH, Auteur ; Kenneth A. SHORES, Auteur ; Elizabeth ALLEN, Auteur ; Anneke E. OLSON, Auteur Article en page(s) : p.1287-1299 Langues : Anglais (eng) Mots-clés : Adolescent  Child  Child Abuse  Humans  Longitudinal Studies  Problem Behavior  Self Report  child maltreatment  contamination  externalizing behaviors  internalizing behaviors Index. décimale : PER Périodiques Résumé : Contamination, when members of a comparison or control condition are exposed to the event or intervention under scientific investigation, is a methodological phenomenon that downwardly biases the magnitude of effect size estimates. This study tested a novel approach for controlling contamination in observational child maltreatment research. Data from The Longitudinal Studies of Child Abuse and Neglect (LONGSCAN; N = 1354) were obtained to estimate the risk of confirmed child maltreatment on trajectories of internalizing and externalizing behaviors before and after controlling contamination. Baseline models, where contamination was uncontrolled, demonstrated a risk for greater internalizing (b = .29, p< .001, d = .40) and externalizing (b = .14, p = .040, d = .19) behavior trajectories. Final models, where contamination was controlled by separating the comparison condition into subgroups that did or did not self-report maltreatment, also demonstrated risks for greater internalizing (b = .37, p< .001, d = .51) and externalizing (b = .22, p = .028, d = .29) behavior trajectories. However, effect size estimates in final models were 27.5%-52.6% larger compared to baseline models. Controlling contamination in child maltreatment research can strengthen effect size estimates for child behavior problems, aiding future child maltreatment research design and analysis. En ligne : http://dx.doi.org/10.1017/s0954579420002242 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] Controlling contamination in child maltreatment research: Impact on effect size estimates for child behavior problems measured throughout childhood and adolescence [Texte imprimé et/ou numérique] / Chad E. SHENK, Auteur ; Joseph R. RAUSCH, Auteur ; Kenneth A. SHORES, Auteur ; Elizabeth ALLEN, Auteur ; Anneke E. OLSON, Auteur . - p.1287-1299. Langues : Anglais (eng) in Development and Psychopathology > 34-4 (October 2022) . - p.1287-1299 Mots-clés : Adolescent  Child  Child Abuse  Humans  Longitudinal Studies  Problem Behavior  Self Report  child maltreatment  contamination  externalizing behaviors  internalizing behaviors Index. décimale : PER Périodiques Résumé : Contamination, when members of a comparison or control condition are exposed to the event or intervention under scientific investigation, is a methodological phenomenon that downwardly biases the magnitude of effect size estimates. This study tested a novel approach for controlling contamination in observational child maltreatment research. Data from The Longitudinal Studies of Child Abuse and Neglect (LONGSCAN; N = 1354) were obtained to estimate the risk of confirmed child maltreatment on trajectories of internalizing and externalizing behaviors before and after controlling contamination. Baseline models, where contamination was uncontrolled, demonstrated a risk for greater internalizing (b = .29, p< .001, d = .40) and externalizing (b = .14, p = .040, d = .19) behavior trajectories. Final models, where contamination was controlled by separating the comparison condition into subgroups that did or did not self-report maltreatment, also demonstrated risks for greater internalizing (b = .37, p< .001, d = .51) and externalizing (b = .22, p = .028, d = .29) behavior trajectories. However, effect size estimates in final models were 27.5%-52.6% larger compared to baseline models. Controlling contamination in child maltreatment research can strengthen effect size estimates for child behavior problems, aiding future child maltreatment research design and analysis. En ligne : http://dx.doi.org/10.1017/s0954579420002242 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

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