Over half of all youth are exposed to violence, which a growing body of literature suggests is associated with a broad range of negative developmental outcomes over the life course. However, best practices for supporting parenting are not widely applied to parents with children exposed to violence-related trauma. This meta-analyses seeks to synthesize the literature base of trauma-informed parenting interventions to better understand their potential impact on parenting and child outcomes. Specifically, 21 trauma-informed parenting interventions were identified that quantitatively assessed intervention effects on parenting and child outcomes. Six meta-analyses were conducted to assess intervention effects on (1) positive parenting practices, (2) negative parenting practices, (3) parenting stress, (4) children's internalizing problems, (5) children's externalizing problems, and (6) trauma symptoms, respectively. Moderate to large effect sizes were found for positive parenting practices (d = 0.62) as well as child internalizing problems, externalizing problems, and trauma symptoms (d = 0.48-0.59). Validity tests indicated robust findings for positive parenting and for all child outcomes. Additional moderator analyses support the importance of informed intervention design, showing differential findings by trauma type as well as by duration of the intervention. These findings indicate the value of evidence-based parenting interventions for violence-related trauma and support models of trauma-informed care that situate treatment in the broader social context, particularly the family. Results are discussed with respect to which parenting practices hold the most promise for supporting children exposed to violence-related trauma.

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Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent change score models allow for dynamic change (not just linear or exponential change) over time and have flexibility in parameter constraints that other longitudinal models do not have. Developmental researchers also frequently utilize mediation analyses to investigate mechanisms of influence in longitudinal research implemented in path analytic or latent growth curve models. In this article, we provide three examples of how mediation can be tested in the latent change score framework by combining aspects of traditional mediation models with latent change score models of repeated measures outcomes (and mediators and predictors) with more than two timepoints. We also provide the Mplus syntax to complete these analyses and practical considerations of latent change score mediation (LCSM) models.

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