Longitudinal neighborhood profiles in delinquency: The decomposition of change

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The methods that traditionally have been used to examine changing spatial distributions of crime and delinquency rates are not able to analyze parsimoniously the full range of within-community variation in these rates over time. In this paper, we present a variant of Bryk and Raudenbush's (Psyc...

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Bibliographic Details
Authors: Bursik, Robert J. -2017 (Author) ; Grasmick, Harold G. (Author)
Format: Electronic Article
Language:English
Published: 1992
In: Journal of quantitative criminology
Year: 1992, Volume: 8, Issue: 3, Pages: 247-263
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Keywords:
orthogonal polynomials
hierarchical linear model
Human Ecology
Neighborhood change
Description
Summary:The methods that traditionally have been used to examine changing spatial distributions of crime and delinquency rates are not able to analyze parsimoniously the full range of within-community variation in these rates over time. In this paper, we present a variant of Bryk and Raudenbush's (Psychol. Bull. 101: 147–158, 1987) hierarchical linear model that can simultaneously examine the full range of within- and between-group variation contained in longitudinal data sets. The method is illustrated through an analysis of the delinquency rates characterizing Chicago's neighborhoods between 1930 and 1970.
ISSN:1573-7799
DOI:10.1007/BF01064548