On the relationship between the higher-order factor model and the hierarchical factor model
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Publication:2250666
DOI10.1007/BF02294531zbMath1291.62252OpenAlexW2007404044MaRDI QIDQ2250666
Lori D. McLeod, David Thissen, Yiu-Fai Yung
Publication date: 18 July 2014
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02294531
factor analysismodel equivalencegeneral factorhierarchical factor modelsbi-factor solutionshigher-order factor models
Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)
Related Items (16)
Gibbs sampling using the data augmentation scheme for higher-order item response models ⋮ Second-order disjoint factor analysis ⋮ Identifiability of Bifactor Models ⋮ A two-tier full-information item factor analysis model with applications ⋮ Hierarchical disjoint principal component analysis ⋮ A deflated indicators approach for estimating second-order reflective models through PLS-PM: an empirical illustration ⋮ Bi-factor and second-order copula models for item response data ⋮ A general theorem and proof for the identification of composed CFA models ⋮ Exploratory bi-factor analysis ⋮ Positive loadings and factor correlations from positive covariance matrices ⋮ Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model ⋮ The ultrametric correlation matrix for modelling hierarchical latent concepts ⋮ Commentary on coefficient alpha: a cautionary tale ⋮ Lord-Wingersky algorithm version 2.0 for hierarchical item factor models with applications in test scoring, scale alignment, and model fit testing ⋮ CFA models with a general factor and multiple sets of secondary factors ⋮ Direct Schmid-Leiman transformations and rank-deficient loadings matrices
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