Work

Utilizing predictive modeling to enhance policy and practice through improved identification of at-risk clients: Predicting permanency for foster children

Year: 2018

Type: article

Source: Children and Youth Services Review

DOI: 10.1016/j.childyouth.2018.05.030

Author: Dallas J. Elgin

Language: English

Topic: Child Welfare and Adoption

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2807221482

FWCI: 2.44

Cites: 90

Cited by: 15

Related to: 10