SPECIALIZATION AND THE CRIMINAL CAREER*

Hirschi recently (1985) attempted to show the compatibility of social control with rational choice theory. This effort by Hirschi is noteworthy because, if successful, he could provide a connection between positive and classical sentiments which have traditionally appeared in contention. Hirschi fails, however, to achieve his objective and is hindered by what he views as the incompatible objectives of the two theories. Hirschi uses the recently accepted findings which indicate lack of specialization among persons involved in illegal behavior to illustrate the difference he sees between criminality and crime and, thus, the divergence between social control and rational choice. This paper attempts to remove the barrier found by Hirschi by providing improved measurement of specialization, such as has been proposed by Farrington (1986) and Klein (1984), and by placing the results in a more realistic criminal careers perspective than has been done in previous studies. This study utilizes data from the 1958 Philadelphia Birth Cohort. With information to age 26 for 27,160 persons, these data are perhaps better suited to investigate this topic than any available.     

A PROSPECTIVE TEST OF A CRIMINAL CAREER MODEL*

In an earlier article in this journal, Barnett, Blumstein, and Farrington (1987) formulated a model that described the criminal careers of the multiple offenders in a cohort of London males that had been studied from their 10th to 25th birthdays. That model involved two subpopulations of offenders (denoted as “frequents” and “occasionals”), each characterized by a constant annual conviction rate (μ) and a constant probability (p) of terminating the career following a conviction. This article describes the results of a prospective and predictive test of the model using new data collected on the same offenders from their 25th to 30th birthdays. The original model accurately predicted the number of recidivists, the degree of recidivism risk, the total number of recidivist convictions, and the time intervals between recidivist convictions. However, the predictions for the frequents suffered some distortions introduced by a few “intermittent” offenders who seemed to have terminated their careers, but who re-initiated offending during the test period after a long gap.     

CRIMINAL CAREER RESEARCH: ITS VALUE FOR CRIMINOLOGY*

In a recent paper published in this journal, Gottfredson and Hirschi (1986)¹ argue that the concepts of criminal careers, career criminals, selective incapacitation, prevalence, and incidence, and longitudinal studies all have little value for criminology. In our view their paper misrepresents these concepts and our research on these topics. We are pleased to have the opportunity in this paper to develop these concepts more clearly and to show their relevance for criminology.     

PROBABILISTIC MODELS OF YOUTHFUL CRIMINAL CAREERS

This paper focuses on the characterization of the criminal careers of youthful offenders. It was found that these criminal careers could be modeled with parameters rejecting constant individual rates of offending and constant probability of career termination; population heterogeneity could be adequately represented by two distinct groups—designated here as "frequents" and occasionals." These parameters were estimated for the multiple offenders in a London cohort studied from their first convictions until age 25. In that cohort, the frequents were estimated to have an annual conviction rate of 1.14 convictions per year (constant with age) and a probability of career termination of .10 following each conviction; the occasionals had an annual conviction rate of .41 and termination probability of .33 following each conviction; the frequents were estimated to comprise 43% of the population, and the occasionals the others 57%. While this parsimonious model structure was adequate for the London cohort, it must still be tested with other offender populations.     

DIFFERENTIAL CRIMINAL PATTERNS OF NARCOTIC ADDICTS OVER AN ADDICTION CAREER*

In a further study of the addiction-crime relationship, 214 narcotic addicts were classified according to their criminal involvement during a 2-year preaddiction period. The sample was divided into two groups—those who reported involvement in any of 20 categories of criminal activity (N = 108) and those who reported no such activity (N = 106). The criminal behavior and drug-use patterns of the two groups were then compared during subsequent addiction and nonaddiction periods. As expected, the impact of addiction was much more prominent in the low-crime group. The implications of results for rehabilitation strategies are discussed.     

CRIMINAL PROPENSITY,DEVIANT SEXUAL INTERESTS AND CRIMINAL ACTIVITY OF SEXUAL AGGRESSORS AGAINST WOMEN: A COMPARISON OF EXPLANATORY MODELS*

Three hypotheses have been used to describe the male propensity for sexual aggression towards women: a general propensity to offend, a specific propensity to sexually offend and a combination of both. In this paper, using structural equation modeling, we compared the relative utility of these three hypotheses in explaining criminal activity in adulthood of sexual aggressors of women. In total, 209 adult males who were convicted of at least one sexual offence were included in the study. Results indicate that a propensity model emphasizing the role of an early and persistent general propensity to act in an antisocial manner during childhood and adolescence is most adequate to explain sexual aggressors' criminal activity. After controlling for the role of this propensity, a specific propensity characterized by high sexualization and deviant sexual interests explained only a modest proportion of variance of the sexual criminal activity.     

BRIDGING CRIMINAL CAREERS,THEORY, AND POLICY THROUGH LATENT VARIABLE MODELS OF INDIVIDUAL OFFENDING*

Our goal is to build bridges between theoretical criminology, the study of criminal careers, and policy-relevant research. Insights from the criminal career and propensity positions lead us to seek (1) a comprehensive means of incorporating theoretical variables in research on criminal careers, (2) statistical models that yield meaningful projections relevant to public policy issues, and (3) methods for comparing findings for different measures of offending. We present a conceptual framework accomplishing this by applying the general linear model to the study of crime and criminal careers. This framework differentiates the elements of (1) a curvilinear function linking the scale of the linear model and the scale of the measure of offending, (2) a probabilistic relationship between a latent tendency to offend and the measure of offending, (3) a probability distribution of individual differences on the latent dimension, and (4) relationships among repeated observations for the same individual. We describe numerous versions of the general linear model that do not require special statistical expertise and are appropriate for the full range of measures of offending. We conclude by addressing strategies for comparing results across measures.     

CRIMINAL CHILDREN

Law and Philosophy -     

MAKING WAR CRIMINAL

Turk's conflict theory of political criminality is used to account for the virtual cessation of international criminal law enforcement following the Nuremberg Tribunal and its revival through the establishment of The Hague Tribunal for the former Yugoslavia and Rwanda. Turk's theory further helps to contextualize the little known contribution of Sheldon Glueck to the development of the Nuremberg Trials. Glueck helped overcome Soviet wishes to turn Nuremberg into a show trial and developed the organizational plan for the visual and witness evidence of the Holocaust that led to the most important convictions for crimes against humanity in the Nuremberg Trials. The contributions of Glueck and Turk provide an underappreciated foundation for the criminological study of war crimes and crimes against humanity.     

THE IMPACT OF BRITISH COUNTERTERRORIST STRATEGIES ON POLITICAL VIOLENCE IN NORTHERN IRELAND: COMPARING DETERRENCE AND BACKLASH MODELS*

Since philosophers Beccaria and Bentham, criminologists have been concerned with predicting how governmental attempts to maintain lawful behavior affect subsequent rates of criminal violence. In this article, we build on prior research to argue that governmental responses to a specific form of criminal violence—terrorism—may produce both a positive deterrence effect (i.e., reducing future incidence of prohibited behavior) and a negative backlash effect (i.e., increasing future incidence of prohibited behavior). Deterrence‐based models have long dominated both criminal justice and counterterrorist policies on responding to violence. The models maintain that an individual's prohibited behavior can be altered by the threat and imposition of punishment. Backlash models are more theoretically scattered but receive mixed support from several sources, which include research on counterterrorism; the criminology literature on labeling, legitimacy, and defiance; and the psychological literature on social power and decision making. In this article, we identify six major British strategies aimed at reducing political violence in Northern Ireland from 1969 to 1992 and then use a Cox proportional hazard model to estimate the impact of these interventions on the risk of new attacks. In general, we find the strongest support for backlash models. The only support for deterrence models was a military surge called Operation Motorman, which was followed by significant declines in the risk of new attacks. The results underscore the importance of considering the possibility that antiterrorist interventions might both increase and decrease subsequent violence.     

ON THE USE OF PANEL RESEARCH DESIGNS AND RANDOM EFFECTS MODELS TO INVESTIGATE STATIC AND DYNAMIC THEORIES OF CRIMINAL OFFENDING

There is a long-standing debate in criminology about the relative impact of static versus dynamic factors on criminal behavior. Researchers interested in estimating the impact of dynamic factors like prior offending or association with delinquent peers on criminal offending must control for static factors like intelligence, family background, or self-control, which could plausibly be correlated with criminal offending and the dynamic factor itself. Unfortunately, as a practical matter, it is not possible to observe all of these static factors. Statisticians and econometricians have shown that it is possible to identify the collective effect of static factors even though they cannot be observed. To achieve this objective, however, it is necessary to account for stable, unobserved individual characteristics through the use of "fixed-effect" or "random-effect" estimation. Criminologists often use random-effect estimators in these situations. We describe some of the assumptions that are necessary to develop valid inferences when time-varying covariates are used. Then, we use simulation evidence and an empirical application to show that bias can result when they are violated.