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MACRO‐MICRO INTEGRATION IN THE STUDY OF VICTIMIZATION: A HIERARCHICAL LOGISTIC MODEL ANALYSIS ACROSS SEATTLE NEIGHBORHOODS *
Author(s) -
ROUNTREE PAMELA WILCOX,
LAND KENNETH C.,
MIETHE TERANCE D.
Publication year - 1994
Publication title -
criminology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.467
H-Index - 139
eISSN - 1745-9125
pISSN - 0011-1384
DOI - 10.1111/j.1745-9125.1994.tb01159.x
Subject(s) - macro , multilevel model , logistic regression , ethnic group , psychology , criminology , geography , sociology , computer science , statistics , mathematics , anthropology , programming language
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.