The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
An Introduction to Latent Variable Mixture Modeling (Part 1): Overview and Cross-Sectional Latent Class and Latent Profile Analyses
Abstract
OBJECTIVE: Pediatric psychologists are often interested in finding patterns in heterogeneous cross-sectional data. Latent variable mixture modeling is an emerging person-centered statistical approach that models heterogeneity by classifying individuals into unobserved groupings (latent classes) with similar (more homogenous) patterns. The purpose of this article is to offer a nontechnical introduction to cross-sectional mixture modeling. METHOD: An overview of latent variable mixture modeling is provided and 2 cross-sectional examples are reviewed and distinguished. RESULTS: Step-by-step pediatric psychology examples of latent class and latent profile analyses are provided using the Early Childhood Longitudinal Study-Kindergarten Class of 1998-1999 data file. CONCLUSIONS: Latent variable mixture modeling is a technique that is useful to pediatric psychologists who wish to find groupings of individuals who share similar data patterns to determine the extent to which these patterns may relate to variables of interest.
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Cites
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BackgroundTesting the number of components in a normal mixture
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Cited by
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
Practitioner’s guide to latent class analysis: Methodological considerations and common pitfalls
Sinha, P., Calfee, C. S., & Delucchi, K. L. (2021) · Critical Care Medicine · doi:10.1097/ccm.0000000000004710 · Cited by 1,204
Latent burnout profiles: A new approach to understanding the burnout experience
Leiter, M. P., & Maslach, C. (2016) · Burnout Research · doi:10.1016/j.burn.2016.09.001 · Cited by 655
Nguena Nguefack, H. L., Pagé, M. G., Katz, J., Choinière, M., Vanasse, A., Dorais, M., Samb, O. M., & Lacasse, A. (2020) · Clinical Epidemiology · doi:10.2147/clep.s265287 · Cited by 527
Petersen, K. J., Qualter, P., & Humphrey, N. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01214 · Cited by 195
Metadata
- Authors
- Berlin, K. S., Williams, N. A., & Parra, G. R.
- Venue
- Journal of Pediatric Psychology
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-11-25
- Volume
- 39
- Issue
- 2
- Pages
- 174-187
- ISSN
- 0146-8693 (ISSN-L)
- 1465-735X
- OpenAlex
- W2102784002
- Cited by
- 986
- References
- 38
- FWCI
- 22.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- Berlin, K. S., Williams, N. A., & Parra, G. R. (2014). An Introduction to Latent Variable Mixture Modeling (Part 1): Overview and Cross-Sectional Latent Class and Latent Profile Analyses. Journal of Pediatric Psychology. https://doi.org/10.1093/jpepsy/jst084
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