Impact of Not Fully Addressing Cross-Classified Multilevel Structure in Testing Measurement Invariance: A Monte Carlo Study

In educational settings, researchers are likely to encounter multilevel data with cross-classified structure. However, due to the lack of familiarity and limitations of statistical software for cross-classified modeling, most researchers adopt less optimal approaches to analyze cross-classified mult...

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Detalhes bibliográficos
Main Authors: Myung Hee eIm, Eun Sook eKim, Oi-Man eKwok, Myeongsun eYoon, Victor eWillson
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2016-03-01
Colecção:Frontiers in Psychology
Assuntos:
Measurement invariance
Multilevel confirmatory factor analysis
Monte Carlo study
cross-classified multilevel data
non-hierarchical structure data
Acesso em linha:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.00328/full
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