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Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them

Jones, Bobby L., Nagin, Daniel S.·2007·Sociological Methods & Research

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.

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Metadata

Authors
Jones, B. L., & Nagin, D. S.
Venue
Sociological Methods & Research
Published
2007-05
Volume
35
Issue
4
Pages
542-571
ISSN
  • 0049-1241 (ISSN-L)
  • 1552-8294
OpenAlex
W1997944093
Cited by
1,201
References
16
FWCI
29.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them. https://app.cochat.ai/papers/10.1177/0049124106292364
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Jones, B. L., & Nagin, D. S. (2007). Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them. Sociological Methods & Research. https://doi.org/10.1177/0049124106292364

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.