A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories
This article introduces a new SAS procedure written by the authors that analyzes longitudinal data (developmental trajectories) by fitting a mixture model. The TRAJ procedure fits semiparametric (discrete) mixtures of censored normal, Poisson, zero-inflated Poisson, and Bernoulli distributions to lo...
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| Veröffentlicht in: | Sociological methods & research 2001-02, Vol.29 (3), p.374-393 |
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| container_title | Sociological methods & research |
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| creator | JONES, BOBBY L. NAGIN, DANIEL S. ROEDER, KATHRYN |
| description | This article introduces a new SAS procedure written by the authors that analyzes longitudinal data (developmental trajectories) by fitting a mixture model. The TRAJ procedure fits semiparametric (discrete) mixtures of censored normal, Poisson, zero-inflated Poisson, and Bernoulli distributions to longitudinal data. Applications to psychometric scale data, offense counts, and a dichotomous prevalence measure in violence research are illustrated. In addition, the use of the Bayesian information criterion to address the problem of model selection, including the estimation of the number of components in the mixture, is demonstrated. |
| doi_str_mv | 10.1177/0049124101029003005 |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete; Sociological Abstracts; Periodicals Index Online |
| subjects | Computer Software Criminology Data analysis Developmental psychology Distribution Estimation Longitudinal Studies Methodological Problems Methodology (Data Analysis) Modelling Regression Analysis Research methods Sociological research Sociology |
| title | A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories |
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