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Criminal Trajectory Clustering×Criminal Career Paradigm×
ОбластCriminologyCriminology
СемействоRegression modelProcess / pipeline
Година на възникване20101986
СъздателDaniel S. Nagin; Christophe Genolini & Bruno Falissard (KmL)Alfred Blumstein, Jacqueline Cohen, Jeffrey Roth & Christy Visher
ТипAlgorithmic clustering of longitudinal offending trajectoriesConceptual framework for decomposing offending over the life course
Основополагащ източникNagin, D. S. (2005). Group-Based Modeling of Development. Harvard University Press. ISBN: 9780674016866Blumstein, A., Cohen, J., Roth, J. A., & Visher, C. A. (Eds.). (1986). Criminal Careers and 'Career Criminals' (Vols. 1–2). National Academy Press. ISBN: 9780309036887
Други названияOffending Trajectory Clustering, Longitudinal Offending Cluster Analysis, Trajectory Shape Clustering, Crime-Curve ClusteringCriminal Careers Framework, Career Criminal Paradigm, Offending Career Approach, Blumstein Criminal Career Model
Свързани44
РезюмеCriminal trajectory clustering is the broad family of methods that group individuals by the shape of their longitudinal offending curves. Rather than committing to a single statistical model, it spans algorithmic approaches — k-means for longitudinal data, distance-based clustering of trajectory shapes, and likelihood-based latent class growth — and treats the choice of clustering method itself as a modeling decision validated by fit and stability criteria.The 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.
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ScholarGateСравнение на методи: Criminal Trajectory Clustering · Criminal Career Paradigm. Извлечено на 2026-06-25 от https://scholargate.app/bg/compare