Final Summary Overview: Research & Evaluation on Victims of Crime (STRiV Secondary Data Analyses)

• NCJ Number: 254459
• Author(s): Elizabeth A. Mumford; Nnenna Okeke; Emily F. Rothman; Bruce G. Taylor; Eva Bahrami
• Date Published: December 2019
• Length: 15 pages
• Grant Number(s): 2016-VF-GX-0007
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical); Report (Summary); Report (Study/Research); Report (Grant Sponsored); Program/Project Description
• Award: Research and Evaluation on Victims of Crime

Annotation

This is the Final Summary Overview of the STRiV secondary data analyses (STRiV-SD), whose objective was to gain new information on understudied at-risk populations for the prevalence of adolescent relationship abuse (ARA), also known as teen dating violence, by identifying neighborhood-level factors experienced by adolescents that increase their risk for ARA.

Abstract

The analyses focused on how neighborhood disadvantage and interpersonal crime affect sexual harassment indirect abusive behavior by dating partners, and direct ARA perpetration and victimization. Secondary data analyses were conducted with the National Survey on Teen relationships and Intimate Violence (STRiV), with additional neighborhood-level measures from other sources linked at the respondent level. STRiV is an ongoing cohort study designed to determine the prevalence of ARA perpetration and victimization among youth in the United States. The four waves of STRiV surveys were completed with a high-security web-based survey. This current secondary analysis merged community-level data from the 2013 American Community Survey (ACS), a national ongoing survey by the U.S. Census Bureau. This secondary analysis used the 2013 data to examine the neighborhood context of STRiV respondents contemporaneous with their baseline survey responses. ACS data provided measures of neighborhood income inequality, neighborhood-level gender equality, and concentrated neighborhood disadvantage. The second auxiliary source provided a measure of neighborhood crime. Analyses were conducted in SAS 9.4, which allows for the use of sampling weights, adjusts for complex sampling, and handles missing data. This summary report highlights key findings from this secondary analysis, which identifies neighborhood-level disadvantage for adolescents and their risk for involvement in ARA and/or harassing behaviors in a nationally representative sample. 2 tables and 37 references