Taxometrics and Criminal Justice: Assessing the Latent Structure of Crime-Related Constructs

Purpose xometric method is introduced as a way of investigating the latent structure of key criminal justice constructs. s s describing the theory, rationale, and procedures behind taxometrics, the taxometric method is applied to Wolfgang, Figlio, and Sellin’s (1972) delinquency cohort data to illustrate how the procedure works. s defining latent structure, its relevance to criminal justice is explored and the four core principles of taxometric analysis are described: coherent cut kinetics, consistency testing, comparison curve analysis, and evidence-based procedures. Sample and indicator preconditions for taxometric analysis are discussed and empirically-verified procedures for taxometric analysis are outlined: mean above minus below a cut (MAMBAC: Meehl & Yonce, 1996), maximum covariance (MAXCOV: Meehl & Yonce, 1994), maximum eigenvalue (MAXEIG: Waller & Meehl, 1998), maximum slope (MAXSLOPE: Grove & Meehl, 1993), and latent mode factor analysis (L-Mode: Waller & Meehl, 1998). sions xometric method provides an avenue by which the latent structure of important criminal justice constructs can be explored and criminal justice research can be advanced.