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19 Pol'y Stud. J. 2 (1990-1991)

handle is hein.journals/plyssjnl19 and id is 1 raw text is: Policy Studies Journal, Vol 19, No 1, Fall 1990, 2-21


Certainty, Severity, and the Probability

of  Crime: A Logistic Analysis

Scott H Decker  and Carol W  Kohfeld

        Social control is a complex process. A vanety of institutions, roles, and
groups interact to promote conforming behavior among citizens of a society. One
of the most critical institutions seen as producing conformity is the legal system
Through  the processes of detection, adjudication, and sanctioning a variety of
goals are said to be accomplished   Among   the most important of these is
deterrence Indeed, the study of deterrence is one of the oldest traditions associ-
ated with examinations of the legal system
        Such examinations have traditionally focused on the effects of measures
of either certainty or seventy of punishment Measures of certainty have typically
been identified with three stages of the criminal justice system, arrest, trial, and
imprisonment  Thus, ratios to determine the likelihood or probability of arrest,
sentencing, or incarceration have been constructed as measures of certainty The
counterpart to certainty--severity--has been derived from decisions made at a
single point in the system, the courts Indicators of seventy are usually represented
as the length of sentence or actual amount of time served
        This study is done in the tradition of past deterrence research, but there
are aspects which render it unique. It may be most accurate to characterize this
research as using traditional ecological data to address traditional deterrence
issues with a methodology specifically focused on addressing policy issues We
have used the Pogue dataset (1983), which includes an extensive collection of
crime, clearance,criminaljustice system, governmental, demographic, and socio-
economic  measures to address the issue of deterrence Using data from 48 states
(Alaska and  Hawaii are missing), we present results of analyses and crime
probability plots based upon the use of the logistic model and a related measure
of causal effect magnitude we believe to be novel Two models are investigated
which  use the probability of burglary, larceny, and robbery as the dependent
variables The first model compares the impacts of clearance (certainty) and
socioeconomic variables,and the second compares the relative impactof different
sanctioning strategies (certainty and seventy) in the presence of controls
        An  analytic strategy based on the logistic model has several advantages,
not the least of which is its utility for addressing the issue of how much social
control is necessary to provide a deterrent. If we observe an inverse relationship
between clearances and a crime rate, i e., a deterrent effect, it is valuable to know
at what point an increase in clearance results in only a marginal decline in the
crimerate Such information can be presented vividly in graphs of changing crime
probabilities Thus the results appear in a readily understood form that may be
communicated  with consequences  of different models of deterrence