Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Marieke Visser

Dados Biográficos

ID6629990
NOMEMarieke Visser
PRENOMESMarieke
SOBRENOMEVisser
ASSINATURAVISSER M
AFILIAÇÕESUniversity of California
ORCID0000-0003-3240-7801
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H1
  • Using Small-Variance Priors to Detect Covariate Misspecifications in Latent Class Analysis Models

    Open Access•Sarah Depaoli, Fan Jia et al.•ARTICLE•Structural Equation Modeling: A…•2025•Referências: 4

  • Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach

    Open Access•Sarah Depaoli, Fan Jia et al.•ARTICLE•Structural Equation Modeling: A…•2024•Citada por: 1•Referências: 6

  • A Guide to Detecting and Modeling Local Dependence in Latent Class Analysis Models

    Marieke Visser, Sarah Depaoli•ARTICLE•Structural Equation Modeling: A…•2022

    Latent class analysis (LCA) assigns individuals to mutually exclusive classes based on response patterns to a set of indicators. A primary assumption made is local independence, which suggests class indicators are uncorrelated within each class. When the indicators are correlated and unmodeled, parameter estimates can be severely biased. We provide a comprehensive resource for applied researchers to statistically detect local independence violati…

  • Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach

    Open Access•Sarah Depaoli, Fan Jia et al.•ARTICLE•Structural Equation Modeling: A…•2024•Citada por: 1•Referências: 6

  • A Guide to Detecting and Modeling Local Dependence in Latent Class Analysis Models

    Marieke Visser, Sarah Depaoli•ARTICLE•Structural Equation Modeling: A…•2022

    Latent class analysis (LCA) assigns individuals to mutually exclusive classes based on response patterns to a set of indicators. A primary assumption made is local independence, which suggests class indicators are uncorrelated within each class. When the indicators are correlated and unmodeled, parameter estimates can be severely biased. We provide a comprehensive resource for applied researchers to statistically detect local independence violati…

  • Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach

    Open Access•Sarah Depaoli, Fan Jia et al.•ARTICLE•Structural Equation Modeling: A…•2024•Citada por: 1•Referências: 6

  • Using Small-Variance Priors to Detect Covariate Misspecifications in Latent Class Analysis Models

    Open Access•Sarah Depaoli, Fan Jia et al.•ARTICLE•Structural Equation Modeling: A…•2025•Referências: 4

Advanced Statistical Methods and Models (3 obras) · Artificial Intelligence (3 obras) · Computer Science (3 obras) · Econometrics (3 obras) · Latent class model (3 obras) · Mathematics (3 obras) · Statistics (3 obras) · Bayesian probability (2 obras) · Class (philosophy (2 obras) · Economics (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae