Using three waves of the China Family Panel Studies data collected in 2010, 2012 and 2014, the current study examines the association between parental migration and a number of early childhood development (ECD) outcomes.

The authors of this study examined attitudes about child maltreatment in China and the Netherlands.

Thirteen youth from a group home in Taiwan for teenage boys in the foster care and juvenile justice systems participated in this yearlong study which utilized a strengths-based approach to examine resiliency, their needs, and sources of support. This article describes nine key lessons learned to keep at-risk youth at the center of future similar research studies through protecting, representing, and empowering them.

A cross-sectional study was conducted in five counties of five provinces in China to investigate the effects of age at separation and duration of maternal separation on the early development of left-behind children.

This study aimed to examine the specific effects of neglect and physical abuse on adolescent aggressive behaviors and to further explore the potential sex-specific effect.

This study examines the effect of an innovative caregiver education program in China on caregivers' perceived increase of parenting knowledge.

During the COVID-19 pandemic, life in residential facilities for people with disabilities in South Korea has become even more precarious, if not deadly, said Lee Jung-ha, who heads the advocacy group Padosan, in an interview for this article from Hankyoreh.

The current study investigated the effects of parental emotional neglect on left-behind children’s externalizing problem behaviors, the mediating role of deviant peer affiliation, and the moderating role of beliefs about adversity in the association between parental emotional neglect and left-behind children’s externalizing problem behaviors.

Using survey data consisting of 5002 eighth graders from 160 middle schools in northwestern China, this paper investigates how parental migration affects children’s non-cognitive abilities, as is measured by Big Five components of conscientiousness, extraversion, neuroticism, agreeableness, and openness, as well as children’s grit.

This article proposes a methodological workflow for data analysis by machine learning techniques that have the possibility to be widely applied in social issues.