Generalized Linear Latent Variable Models
Generalized Linear Latent Variable Models is a statistical modeling framework that extends generalized linear models by incorporating latent variables to account for unobserved heterogeneity, thereby enabling the analysis of complex multivariate data with non-normal responses through a structured combination of observed covariates and underlying latent constructs.
107
Publications
7.7K
Citations
264
Authors
158
Institutions
Publications per year
2017–2026
22
Variants
GllvmGllvms
Parents
107
Latent variable models of multitrait-multimethod data.
Herbert W. Marsh, David Grayson · 1995 · 354 citations
Generalized Latent Trait Models
Irini Moustaki, M. Knott · Psychometrika · 2000 · 256 citations
Walter P. Maksymowych, Nathalie Morency, Barbara Conner‐Spady et al. · Annals of the Rheumatic Diseases · 2012 · 236 citations
1–5 of 107
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London School of Economics and Political Science, United Kingdom
4 publications · 338 citations
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158

UNSW Sydney
Sydney, Australia
6 h-index
7 publications
598 citations

Australian National University
Canberra, Australia
5 h-index
5 publications
487 citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
573 citations
KU Leuven
Leuven, Belgium
4 h-index
4 publications
305 citations

University of Jyväskylä
Jyväskylä, Finland
4 h-index
8 publications
932 citations

Western Sydney University
Richmond, Australia
4 h-index
11 publications
687 citations
University of Geneva
Geneva, Switzerland
4 h-index
7 publications
471 citations
London School of Economics and Political Science
London, United Kingdom
3 h-index
4 publications
693 citations
1–8 of 158
8 publications · 721 citations
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CSDA · 4 publications · 76 citations
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3 publications · 251 citations
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3 publications · 209 citations
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3 publications · 143 citations
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