Amy D'Unger

Applications of latent class analyses to the study of criminal careers have yielded results with implications for criminological theory. Distinct latent classes of individuals within various samples have been identified based upon the similarity of individuals with respect to their rate of offending across the teen and adult years, not of the effects of other regressors. In previous research on samples of males taken from the cities of London and Philadelphia, four and five such categories have been identified respectively, ranging from a group of nonoffenders to a group of chronic offenders. However, the question of whether similar findings hold for females has not been adequately addressed, in part due to the scarcity of longitudinal samples with sizable female populations. Data from the Second Philadelphia Cohort are used to address this and related questions. First, are there latent classes of female offenders? Second, if such categories do exist, how do they compare? Third, how do classes of male and female offenders compare on key measures of criminal careers? Analyses of the samples yield differing numbers of classes for males and females. Gender invariances as well as differences in patterns of offending are also found and are discussed.

This article reviews questions about different categories of criminal careers, summarizes Poisson latent class regression models, describes procedures for evaluating the optimal number of latent classes, and applies this methodology to data from male cohorts taken from the cities of London, Philadelphia, and Racine. Four latent classes of offending careers is an appropriate number for the London cohort, but five classes can be justified for the Philadelphia data. In the case of the Racine cohorts, five classes may be detected for the 1942 and 1955 cohorts but only four for the 1949 cohort. Despite the varying numbers of latent offending classes, there clearly is a small number of typical age patterns.