z-logo
Premium
AN EXAMINATION OF OFFENSE SPECIALIZATION USING MARGINAL LOGIT MODELS *
Author(s) -
DEANE GLENN,
ARMSTRONG DAVID P.,
FELSON RICHARD B.
Publication year - 2005
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.1745-9125.2005.00030.x
Subject(s) - logit , logistic regression , econometrics , mixed logit , psychology , economics , statistics , mathematics
Research on offense specialization has concluded that there is a great deal of versatility in offending. Although the preponderance of evidence supports versatility, some research points to a small but significant tendency to specialize. Beyond this observation there is little consensus over the degree of offense specialization, the similarities and differences between people who commit violent acts and those who engage in other criminal behavior, or the extent to which general causal processes are sufficient to explain variation in diverse forms of crime and delinquency. At the heart of the confusion is the fact that criminal behaviors across a wide spectrum are positively correlated with one another. In our opinion, the conclusion that general offending trumps offense specialization is the result of research designs that predetermined such a conclusion. We propose an alternative method, marginal logit modeling, that supports many desirable features suited to the investigation of offense specialization. We analyze nine self‐reported delinquent behaviors (with a tenth category representing “No Offense”) from the Add Health study. We show that violent offenders are more likely to engage in additional violent offenses, nonviolent offenders are more likely to engage in additional nonviolent offenses. For some offense types, we find no evidence of a tendency to commit both violent and nonviolent offending. For others, the offense generalization effect is weak compared to the offense specialization effect.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here