The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
Abstract
This chapter gives an overview of recent advances in latent variable analysis. Emphasis is placed on the strength of modeling obtained by using a flexible combination of continuous and categorical latent variables.
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Cites
McLachlan, G., & Peel, D. (2000) · Wiley Series in Probability and Statistics · doi:10.1002/0471721182 · Cited by 10,991
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640
Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
Lambert, D. (1992) · Technometrics · doi:10.2307/1269547 · Cited by 3,988
How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
Muthén, L. K., & Muthén, B. O. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0904_8 · Cited by 2,362
Self-citationAnalyzing developmental trajectories: A semiparametric, group-based approach.
Nagin, D. S. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.2.139 · Cited by 2,346 · cited 1×
“A special type of growth mixture model has been studied by Nagin and colleagues (see, e.g., Nagin, 1999; Nagin & Land, 1993; Roeder, Lynch, & Nagin, 1999) using the SAS procedure PROC TRAJ (Jones, Nagin, & Roeder, 2001).”
MethodBeyond SEM: General latent variable modeling
Muthén, B. O. (2002) · Behaviormetrika · doi:10.2333/bhmk.29.81 · Cited by 1,074
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Cited by
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701575396 · Cited by 11,415
Self-citationSpurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2020.103445 · Cited by 2,119
Bonanno, G. A., Brewin, C. R., Kaniasty, K., & Greca, A. M. L. (2010) · Psychological Science in the Public Interest · doi:10.1177/1529100610387086 · Cited by 1,289
Resilience to loss and potential trauma
Bonanno, G. A., Westphal, M., & Mancini, A. D. (2011) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032210-104526 · Cited by 1,250
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
Metadata
- Authors
- Muthén, B.
- Venue
- The SAGE Handbook of Quantitative Methodology for the Social Sciences
- Publisher
- SAGE Publications, Inc.
- Published
- 2004
- Pages
- 346-369
- OpenAlex
- W45547521
- Cited by
- 1,534
- References
- 6
- FWCI
- 80.85
- Type
- book chapter
- Language
- en
- Open access
- closed
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