MACRO‐MICRO INTEGRATION IN THE STUDY OF VICTIMIZATION: A HIERARCHICAL LOGISTIC MODEL ANALYSIS ACROSS SEATTLE NEIGHBORHOODS

Published

Journal Article

Recent contextual analyses of victimization survey data are extended by application of hierarchical logistic model techniques. Using a multi‐stage sample of 5,090 Seattle residents, we estimate models for individuals' risks of violent crime and burglary victimization as a function of both individual crime opportunity factors (routine activity and personal lifestyle) and contextual indicators of neighborhood social disorganization (neighborhood incivilities on conditions of disorder, ethnic heterogeneity, and neighborhood density in terms of both residents and strangers). Strong contextual direct effects of density, disorder, and heterogeneity are observed for violent and or burglary risks. Further, the hierarchical method used here provides a richer type of contextual analysis, indicating that neighborhood factors also “condition” the impact of crime opportunity factors for risk of both violent and burglary victimization. Implications for theoretical integration, victimization prevention strategies, and crime control policies are discussed. Copyright © 1994, Wiley Blackwell. All rights reserved

Full Text

Duke Authors

Cited Authors

  • ROUNTREE, PW; LAND, KC; MIETHE, TD

Published Date

  • January 1, 1994

Published In

Volume / Issue

  • 32 / 3

Start / End Page

  • 387 - 414

Electronic International Standard Serial Number (EISSN)

  • 1745-9125

International Standard Serial Number (ISSN)

  • 0011-1384

Digital Object Identifier (DOI)

  • 10.1111/j.1745-9125.1994.tb01159.x

Citation Source

  • Scopus