The DOI matches its Crossref record.
Group-Based Modeling of Development
Abstract
This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wide range of data, such as that describing the progression of delinquency and criminality over the life course, or changes in income over time.
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In the citing paper
“The mean a posteriori probability of being assigned to high- and low-risk groups was above the recommended .7 threshold (females: high risk M = .86, low risk M = .85; males: high risk M = .80, low risk M = .91), suggesting that hard classification into high and low groups can be confidently used as an exposure variable (Nagin, 2005).”
From Pathways of association between disordered eating in adolescence and mental health outcomes in young adulthood during the COVID-19 pandemic (2023) · cites this paper as Nagin, 2005
In the citing paper
“The odds of correct classification were also examined for each model specification to guide final model selection (Nagin, 2005;Wheeler, 2016).”
From An Officer-Level Examination of the Prevalence and Correlates of Police Body-Worn Camera Activation (2025) · cites this paper as Nagin, 2005
Citations
Cited by
Sorted by citations
Group-Based Trajectory Modeling in Clinical Research
Nagin, D. S., & Odgers, C. L. (2010) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.121208.131413 · Cited by 2,749
Self-citationGlobal perspectives on resilience in children and youth
Masten, A. S. (2014) · Child Development · doi:10.1111/cdev.12205 · Cited by 1,710
Twelve frequently asked questions about growth curve modeling
Curran, P. J., Obeidat, K., & Losardo, D. (2010) · Journal of Cognition and Development · doi:10.1080/15248371003699969 · Cited by 1,246
Marsh, H. W., Lüdtke, O., Trautwein, U., & Morin, A. J. S. (2009) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510902751010 · Cited by 1,245
Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them
Jones, B. L., & Nagin, D. S. (2007) · Sociological Methods & Research · doi:10.1177/0049124106292364 · Cited by 1,206
“This multitrajectory model is a form of the so-called constrained dualtrajectory model described in Chapter 8 of Nagin (2005).”
BackgroundMethodInfluentialSelf-citation
Metadata
- Authors
- NAGIN, D.
- Corresponding author
- NAGIN, Daniel
- ORCID
- NAGIN, Daniel
- Venue
- Harvard University Press eBooks
- Publisher
- Harvard University Press
- Published
- 2005-01-01
- OpenAlex
- W1598612182
- Cited by
- 4,164
- References
- 0
- Citations by year
- 2026: 234 · 2025: 288 · 2024: 271 · 2023: 264 · 2022: 297 · 2021: 323 · 2020: 263 · 2019: 270 · 2018: 225 · 2017: 220 · 2016: 222 · 2015: 241 · 2014: 155 · 2013: 154 · 2012: 176
- FWCI
- 19.40
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Harvard University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Methods and Mixture Models
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- longitudinal analysis, life course, delinquency, criminality, income change, developmental trajectories
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