The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
General Growth Mixture Analysis with Antecedents and Consequences of Change
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Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701575396 · Cited by 11,415
McLachlan, G., & Peel, D. (2000) · Wiley Series in Probability and Statistics · doi:10.1002/0471721182 · Cited by 10,991
Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy
Moffitt, T. E. (1993) · Psychological Review · doi:10.1037/0033-295x.100.4.674 · Cited by 9,987
Analysis of Incomplete Multivariate Data
Schafer, J. L. (1997) · doi:10.1201/9781439821862 · Cited by 6,012
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640
Group-Based Modeling of Development
NAGIN, D. (2005) · doi:10.4159/9780674041318 · Cited by 4,164
Hox, J., Moerbeek, M., & van de Schoot, R. (2002) · doi:10.4324/9781410604118 · Cited by 2,419
Analyzing 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 5×
“Another special case is the latent class growth model developed by Nagin and colleagues (Nagin, 1999; Nagin & Land, 1993; Nagin, 2005; Roeder, Lynch, & Nagin, 1999; Jones, Nagin & Roeder, 2001) which is characterized by zero within-class growth factor variance and covariances, thus assuming homogeneity of individuals’…”
InfluentialA developmental perspective on antisocial behavior
Patterson, G. R., DeBaryshe, B. D., & Ramsey, E. (1989) · American Psychologist · doi:10.1037/0003-066x.44.2.329 · Cited by 2,048
Cited by
Multiple-Group Analysis of Similarity in Latent Profile Solutions
Morin, A. J. S., Meyer, J. P., Creusier, J., & Biétry, F. (2016) · Organizational Research Methods · doi:10.1177/1094428115621148 · Cited by 664
Bakk, Z., Tekle, F. B., & Vermunt, J. K. (2013) · Sociological Methodology · doi:10.1177/0081175012470644 · Cited by 629
A person‐centered approach to commitment research: Theory, research, and methodology
Meyer, J. P., & Morin, A. J. S. (2016) · Journal of Organizational Behavior · doi:10.1002/job.2085 · Cited by 487
Morin, A. J. S., Boudrias, J.-S., Marsh, H. W., McInerney, D. M., Dagenais-Desmarais, V., Madore, I., & Litalien, D. (2017) · Journal of Business and Psychology · doi:10.1007/s10869-016-9448-7 · Cited by 226
Middle school engagement profiles: Implications for motivation and achievement in science
Bae, C. L., & DeBusk-Lane, M. (2019) · Learning and Individual Differences · doi:10.1016/j.lindif.2019.101753 · Cited by 59
Metadata
- Authors
- Petras, H., & Masyn, K.
- Venue
- Handbook of Quantitative Criminology
- Publisher
- Springer New York
- Published
- 2009-12-03
- Pages
- 69-100
- OpenAlex
- W75685785
- Cited by
- 267
- References
- 12
- FWCI
- 35.77
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Petras, H., & Masyn, K. (2010). General Growth Mixture Analysis with Antecedents and Consequences of Change. Handbook of Quantitative Criminology. https://doi.org/10.1007/978-0-387-77650-7_5
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
