Related Experiment Video
Updated: Sep 6, 2025
08:13
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
Published on: May 10, 2019
6.5K
A Meta-Regression of Racial Disparities in Wellbeing Outcomes During and After Foster Care
Reeve S Kennedy1,2,3, Marina H Potter1, Sarah A Font1,2
1Department of Sociology and Criminology, The Pennsylvania State University, University Park, PA, USA.
Trauma, Violence & Abuse
|June 30, 2022
Summary
Black and Hispanic children in foster care face significant disparities in employment, housing, and mental health outcomes compared to their White peers. These racial inequities in foster care impact persons (FCIPs) require urgent attention and policy reform.
Area of Science:
- Social Sciences
- Psychology
- Public Health
Background:
- Children in foster care are at higher risk for adverse psychosocial and economic outcomes.
- Racial and ethnic disparities are pronounced, with Black and Indigenous youth overrepresented in the foster care system.
- Existing research indicates variations in foster care experiences and outcomes based on race and ethnicity.
Purpose of the Study:
- To explore racial and ethnic disparities in educational, employment, mental health, and behavioral outcomes for children during and after foster care.
- To investigate how race and ethnicity influence the outcomes of foster care impacted persons (FCIPs).
Main Methods:
- A meta-regression analysis was conducted on 70 articles and 392 effect sizes.
- Systematic literature search of PsycINFO, ERIC, and Academic Search Complete (January 2000 - June 2021).
- Included US-based studies examining foster care outcomes by race/ethnicity.
Main Results:
- Black FCIPs had 20% lower odds of employment/earnings and 18% lower odds of mental health concerns compared to White FCIPs.
- Hispanic FCIPs had 10% lower odds of stable housing compared to non-Hispanic FCIPs.
- Study features like publication type and participant placement status moderated these racial gaps.
Conclusions:
- Significant racial disparities exist in key outcomes for children in foster care.
- Understanding these disparities is crucial for developing targeted interventions and improving equity in the child welfare system.
- Further research is needed to address gaps in existing literature on racial inequities in foster care outcomes.
Related Concept Videos
01:27Ethnic Identity within a Larger Culture
85
Adolescents from ethnic minority backgrounds face a multifaceted journey in forming their identities, shaped by the intersections of cultural expectations and personal exploration. For these adolescents, identity formation involves not only typical developmental challenges but also navigating the perceptions and attitudes of the majority culture. As they grow, adolescents in ethnic minority groups often become increasingly aware of stereotypes, social biases, and discrimination, all of which...
85
01:52Regression Toward the Mean
6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
01:25Multiple Regression
3.2K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.2K
01:25Strategies for Assessing and Addressing Confounding
153
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
153
01:26Longitudinal Studies
228
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
228
01:20Comparing the Survival Analysis of Two or More Groups
277
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
277