Latent Class Analysis: A Guide to Best Practice
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Summary
In the present article, LCA is described, key elements to consider when conducting LCA are reviewed, and an example of its application is provided.
- Type
- article
- Published
- 2020-05-01
- Cited by
- 1,928
- References
- 66
- Access
- Open access
- OpenAlex
- https://openalex.org/W3032942076
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:219912808
Keywords
Latent class model, Class (philosophy), Key (lock), Psychology, Statistical analysis
References
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- AGE, CRIMINAL CAREERS, AND POPULATION HETEROGENEITY: SPECIFICATION AND ESTIMATION OF A NONPARAMETRIC, MIXED POISSON MODEL*
- Is adding more indicators to a latent class analysis beneficial or detrimental? Results of a Monte-Carlo study
- Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators
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- Relationships of Shared Decision Making with Parental Perceptions of Child Mental Health Functioning and Care
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- Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study
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- Comportamento dos consumidores durante a pandemia de COVID-19: análise de classes latentes sobre atitudes de enfrentamento e hábitos de compra
- Using Latent Class Analysis to Identify Health Lifestyle Profiles and Their Association with Suicidality among Adolescents in Benin
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- Trajectories of somatic drug utilization patterns in Major Depressive Disorder: A Study protocol for a Danish nationwide register study using Latent Class Analysis
- Classifying migraine subtypes and their characteristics by latent class analysis using data of a nation-wide population-based study
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- Sleep Apnea–Specific Hypoxic Burden and Not the Sleepy Phenotype as a Novel Measure of Cardiovascular and Mortality Risk in a Clinical Cohort
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- Differences in Clinical Outcomes of Adults Referred to a Homeless Transitional Care Program Based on Multimorbid Health Profiles: A Latent Class Analysis
- Hybrid Hard-Soft Screening for High-dimensional Latent Class Analysis
- Patterns of Changes in Oncological Care due to COVID-19: Results of a Survey of Oncological Nurses and Physicians from the Region of Hanover, Germany
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