The potential of growth mixture modelling

Infant and Child Development

Volumn 15, Issue 6, 2006, Pages 623-625

  Muthén, Bengt ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Graduate School of Education and Information Studies   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33846180037     PISSN: 15227227     EISSN: 15227219     Source Type: Journal    
DOI: 10.1002/icd.482     Document Type: Review

References (7)

1. Brown, E. C., Catalano, C. B., Fleming, C. B., Haggerty, K. P., & Abbot, R. D. (2004). Adolescent substance use outcomes in the Raising Healthy Children Project: A two-part latent growth curve analysis. Journal of Consulting and Clinical Psychology, in press.
2. Kreuter, F., & Muthen, B. (2006). Methodological challenges to an analysis of population-based criminal trajectory profiles. Draft.
3. Muthén, B. (2004). Latent variable analysis: Growth mixture modelling and related techniques for longitudinal data. In D. Kaplan (Ed.), Handbook of quantitative methodology for the social sciences (pp. 345-368). Newbury Park, CA: Sage Publications.
4. Nagin, D. S. (2005). Group-based modelling of development. Cambridge: Harvard University Press.
5. Nagin, D. S., & Tremblay, R. (2005). Developmental trajectory groups: Fact or a useful statistical fiction? Criminology, 43(4), 873-903.
6. Nylund, K. L., Asparouhov. A., & Muthen, B. (2006). Deciding on the number of classes in latent class analysis and growth mixture modelling. A Monte Carlo study, submitted for publication.
7. Olsen, M. K, & Schafer, J. L. (2001). A two-part random effects model for semicontinuous longitudinal data. Journal of the American Statistical Association, 96, 730-745.