Skip to main content
U.S. flag

An official website of the United States government

Return to search results
💡 Advanced Search Tip

Search by organization or tag to find related datasets

Longitudinal Studies on Child Abuse and Neglect (LONGSCAN) ages 0-18

Published by National Data Archive on Child Abuse and Neglect | U.S. Department of Health & Human Services | Metadata Last Checked: September 05, 2025 | Last Modified: 2025-09-05
LONGSCAN is a consortium of research studies operating under common by-laws and procedures. It was initiated in 1991 with grants from the National Center on Child Abuse and Neglect to a coordinating center at the University of North Carolina at Chapel Hill and five data collection sites. Each site is conducting a separate and unique research project on the etiology and impact of child maltreatment. While each project can stand on its own merits, through the use of common assessment measures, similar data collection methods and schedules, and pooled analyses, LONGSCAN is a collaborative effort that is truly greater than the sum of its parts. The goal of LONGSCAN is to follow the 1300+ children and their families until the children themselves become young adults. Maltreatment data are collected from multiple sources, including review of Child Protective Service records every two years. Yearly telephone interviews allow the sites to track families and assess yearly service utilization and important life events. In addition to the specific focus of the individual studies, the coordinated LONGSCAN design permits a comprehensive exploration of many critical issues in child abuse and neglect on a combined sample of sufficient size for unprecedented statistical power and flexibility. Built into the LONGSCAN design is also the ability to replicate and extend findings across a variety of ethnic, social and economic subgroups. The findings of LONGSCAN will provide a scientific basis for policy-making, program planning, and targeting service delivery by increasing our understanding of the following: Investigators: Runyan, D., Dubowitz, H., English, D., Kotch, J., Litrownik, A., & Thompson, R.

Find Related Datasets

Click any tag below to search for similar datasets

Complete Metadata

data.gov

An official website of the GSA's Technology Transformation Services

Looking for U.S. government information and services?
Visit USA.gov