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Criminal Career Paradigm×Group-Based Trajectory Model×
NozareCriminologyCriminology
SaimeProcess / pipelineRegression model
Izcelsmes gads19861993
AutorsAlfred Blumstein, Jacqueline Cohen, Jeffrey Roth & Christy VisherDaniel S. Nagin & Kenneth C. Land
TipsConceptual framework for decomposing offending over the life courseFinite-mixture model of longitudinal developmental trajectories
PirmavotsBlumstein, A., Cohen, J., Roth, J. A., & Visher, C. A. (Eds.). (1986). Criminal Careers and 'Career Criminals' (Vols. 1–2). National Academy Press. ISBN: 9780309036887Nagin, 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 ↗
Citi nosaukumiCriminal Careers Framework, Career Criminal Paradigm, Offending Career Approach, Blumstein Criminal Career ModelGBTM, Group-Based Modeling of Development, Nagin Trajectory Model, Semiparametric Group-Based Modeling
Saistītās44
KopsavilkumsThe criminal career paradigm is a framework for studying offending as a longitudinal sequence in an individual's life rather than as undifferentiated aggregate crime. Codified by Blumstein, Cohen, Roth, and Visher in the 1986 National Academy of Sciences report, it decomposes crime into distinct dimensions — whether someone offends (participation), how often active offenders offend (frequency, λ), and the onset, seriousness, and duration of the career — each potentially with different causes.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.
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ScholarGateSalīdzināt metodes: Criminal Career Paradigm · Group-Based Trajectory Model. Izgūts 2026-06-25 no https://scholargate.app/lv/compare