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Article

Non-linear structural equation models with correlated continuous and discrete data.

The British journal of mathematical and statistical psychology - 1 May 2009

Lee Sik-Yum, Song Xin-Yuan, Cai Jing-Heng, So Wing-Yee, Ma Ching-Wang, Chan Chung-Ngor Juliana

Abstract excerpt

Structural equation models (SEMs) have been widely applied to examine interrelationships among latent and observed variables in social and psychological research. Motivated by the fact that correlated discrete variables are frequently encountered in practical applications, a non-linear SEM that accommodates covariates, and mixed continuous, ordered, and unordered categorical variables is proposed. Maximum...

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PMID: 18590605
DOI: 10.1348/000711008X292343

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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