Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them
Top Cited Papers
- 1 May 2007
- journal article
- Published by SAGE Publications in Sociological Methods & Research
- Vol. 35 (4), 542-571
- https://doi.org/10.1177/0049124106292364
Abstract
This article is a follow-up to Jones, Nagin, and Roeder (2001), which described an SAS procedure for estimating group-based trajectory models. Group-based trajectory is a specialized application of finite mixture modeling and is designed to identify clusters of individuals following similar progressions of some behavior or outcome over age or time. This article has two purposes. One is to summarize extensions of the methodology and of the SAS procedure that have been developed since Jones et al. The other is to illustrate how group-based trajectory modeling lends itself to presentation of findings in the form of easily understood graphical and tabular data summaries.Keywords
This publication has 14 references indexed in Scilit:
- Life course turning points: The effect of grade retention on physical aggressionDevelopment and Psychopathology, 2003
- On the Development of Different Kinds of Criminal ActivitySociological Methods & Research, 2001
- A SAS Procedure Based on Mixture Models for Estimating Developmental TrajectoriesSociological Methods & Research, 2001
- Analyzing developmental trajectories of distinct but related behaviors: A group-based method.Psychological Methods, 2001
- Assessing the Impact of Exposure Time and Incapacitation on Longitudinal Trajectories of Criminal OffendingJournal of Adolescent Research, 2001
- Analyzing developmental trajectories: A semiparametric, group-based approach.Psychological Methods, 1999
- Zero-Inflated Poisson Regression, with an Application to Defects in ManufacturingTechnometrics, 1992
- An Adaptive Nonlinear Least-Squares AlgorithmACM Transactions on Mathematical Software, 1981
- Two new unconstrained optimization algorithms which use function and gradient valuesJournal of Optimization Theory and Applications, 1979
- Bootstrap Methods: Another Look at the JackknifeThe Annals of Statistics, 1979