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JungWun Lee

Biographic Data

ID8867914
NAMEJungWun Lee
GIVEN NAMESJungWun
FAMILY NAMELee
SIGNATURELEE J
AFFILIATIONSUniversity of Connecticut
ORCID0000-0002-6683-1822
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Bayesian Multilevel Latent Class Profile Analysis

    JungWun Lee, D Betsy Mccoach et al.•ARTICLE•Multivariate Behavioral Research•2025

    Multilevel latent class profile analysis (MLCPA) is a recently developed technique for understanding latent class dynamics in longitudinal studies; however, conventional maximum likelihood (ML) estimation may face challenges, particularly with small sample sizes or boundary solutions. As an alternative method, we propose a Bayesian estimation for MLCPA by employing non-informative prior distributions. In addition, we shed light on the underflow p…

  • Latent classes among substance-involved families in child welfare

    Open Access•Margaret H Lloyd, Margaret Lloyd Sieger et al.•ARTICLE•Children and Youth Services Review•2023•References: 32

No prominent works on this page.

  • Latent classes among substance-involved families in child welfare

    Open Access•Margaret H Lloyd, Margaret Lloyd Sieger et al.•ARTICLE•Children and Youth Services Review•2023•References: 32

  • Bayesian Multilevel Latent Class Profile Analysis

    JungWun Lee, D Betsy Mccoach et al.•ARTICLE•Multivariate Behavioral Research•2025

    Multilevel latent class profile analysis (MLCPA) is a recently developed technique for understanding latent class dynamics in longitudinal studies; however, conventional maximum likelihood (ML) estimation may face challenges, particularly with small sample sizes or boundary solutions. As an alternative method, we propose a Bayesian estimation for MLCPA by employing non-informative prior distributions. In addition, we shed light on the underflow p…

Latent class model (2 works) · Psychology (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian hierarchical modeling (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Bayesian statistics (1 work) · Child Abuse and Trauma (1 work) · Class (philosophy) (1 work)

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