Group-Based Trajectory Model
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.
Læs hele metoden
Log ind med en gratis konto for at læse dette afsnit.
Metodekort
Nabolaget af beslægtede metoder — vælg en knude for at udforske.
Kilder
- 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. DOI: 10.1111/j.1745-9125.1993.tb01133.x ↗
- Nagin, D. S. (2005). Group-Based Modeling of Development. Harvard University Press. ISBN: 9780674016866
Sådan citerer du denne side
ScholarGate. (2026, June 22). Group-Based Trajectory Modeling of Developmental Pathways. ScholarGate. https://scholargate.app/da/criminology/group-based-trajectory-model
Hvilken metode?
Stil denne metode ved siden af dens nærmeste slægtninge, og læs dem side om side — biblioteket lægger bøgerne på bordet; valget er dit.
- Age-Crime Curve ModelingCriminology↔ sammenlign
- Criminal Career ParadigmCriminology↔ sammenlign
- Vækstblandingsmodellen (Growth Mixture Model, GMM)Statistik↔ sammenlign
- Latent Class Analysis (LCA)Statistik↔ sammenlign
Refereret af
Lignende metoder
Har du fundet en fejl på denne side? Indberet den eller foreslå en rettelse →