قارن الطرق

	Offender-Based Transition Matrix	Group-Based Trajectory Model
المجال	Criminology	Criminology
العائلة	Process / pipeline	Regression model
سنة النشأة	1988	1993
صاحب الطريقة	Alfred Blumstein, Jacqueline Cohen, Somnath Das & Soumyo D. Moitra	Daniel S. Nagin & Kenneth C. Land
النوع	Markov-style transition-matrix description of crime-type switching	Finite-mixture model of longitudinal developmental trajectories
المصدر التأسيسي	Blumstein, A., Cohen, J., Das, S., & Moitra, S. D. (1988). Specialization and seriousness during adult criminal careers. Journal of Quantitative Criminology, 4(4), 303–345.	Nagin, D. S., & Land, K. C. (1993). Age, criminal careers, and population heterogeneity: Specification and estimation of a nonparametric, mixed Poisson model. Criminology, 31(3), 327–362.
الأسماء البديلة	Crime-Switch Matrix, Offense-Type Transition Matrix, Specialization Transition Matrix, Markov Crime-Switching Analysis	GBTM, Group-Based Modeling of Development, Nagin Trajectory Model, Semiparametric Group-Based Modeling
ذات صلة	3	4
الملخص	An offender-based transition matrix describes the probability that an offender's next offense is of a particular crime type given the type of the current offense. Introduced to criminology by Blumstein, Cohen, Das, and Moitra in 1988, it treats each individual's ordered sequence of offenses as a Markov-style process and asks the central question of the specialization-versus-versatility debate: do offenders tend to repeat the same kind of crime, or do they switch freely across crime types?	Group-based trajectory modeling (GBTM) is a finite-mixture method that identifies clusters of individuals who follow similar developmental paths of a behavior — most famously offending — over age or time. Introduced to criminology by Daniel Nagin and Kenneth Land in 1993, it replaces the assumption of a single average trajectory with a small number of distinct latent groups, each described by its own polynomial curve and its share of the population.