The DOI matches its Crossref record.
Applied Latent Class Analysis
Abstract
Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.
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Citations
Cited by
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.617 · Cited by 12,052
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701575396 · Cited by 11,415
Latent class analysis: a guide to best practice
Weller, B. E., Bowen, N. K., & Faubert, S. J. (2020) · Journal of Black Psychology · doi:10.1177/0095798420930932 · Cited by 2,223
Spurk, 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
Estimating latent structure models with categorical variables: one-step versus three-step estimators
Bolck, A., Croon, M., & Hagenaars, J. (2004) · Political Analysis · doi:10.1093/pan/mph001 · Cited by 1,406
Self-citation
Metadata
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2002-06-24
- OpenAlex
- W1604544535
- Cited by
- 1,958
- References
- 0
- FWCI
- 20.63
- Type
- book
- Language
- en
- Open access
- closed
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Data sources
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.
