Linking self- and social control with deviance: Illuminating the structure underlying a general theory of crime and its relation to deviant activity

The present paper operationalizes and empirically tests the most recent theoretical speculations of Hirschi and Gottfredson regarding an individual level characteristic of self-control and its relation to earlier specifications of control theory as well as the literature on personality. Linkages are drawn between their broad delineation of self-control and personal disorders of hyperactivity, impulsivity, attention deficits, and minor conduct problems. Psychologists disagree about whether such disorders represent single or multiple traits and whether both behavioral and cognitive measures can appropriately depict personality characteristics. Employing structural equation techniques, support for several propositions derived from Gottfredson and Hirschi's thesis is found: Self-control subsumes several personality disorders and is significantly comprised by early behavioral indicators of aggression and fighting, is inversely related to other elements of the social bond, is moderately stable over a short period of time, and significantly predicts criminal convictions. However, questions remain regarding the ubiquity of self-control, the magnitude and meaning of stability, and the power of this perspective to explain all forms of self-reported delinquency.     

Latent-variable models in criminological research: Applications and a generalization of Joreskog's LISREL model

This paper examines issues in LISREL models involving latent, or unobserved, variables. We discuss estimating parameters in multiple-indicator models, various approaches to assessing goodness of fit, different types of linear measurement models, using LISREL to correct for attenuation in models involving single indicators with known reliabilities, and estimating parameters in structural equation models involving latent exogenous and endogenous variables. Finally, we present a generalization of the standard LISREL model which explicitly identifies implicit constraints on parameters in the standard LISREL model. We argue that the generalization can accommodate a wider range of models and provide additional diagnostic information on some assumptions in the standard LISREL model. By example, we show how the more general model can be estimated using Joreskog's LISREL program.     

Constructing an index of officially recorded crime: The use of confirmatory factor analysis

Researchers using officially reported crime statistics must frequently combine rates of individual crimes into a single composite. The most popular composite is the FBI Crime Index, which is the sum of the seven Part I crimes; alternatives include forming separate indices for personal and property crimes and weighting the crime categories by their seriousness before summing them. In this paper we construct crime composites through the use of confirmatory factor analysis methods. The results suggest that the measurement assumptions of conventional crime indices are problematic and demonstrate how more satisfactory alternatives can be developed with confirmatory factor analysis techniques.