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A two‐stage estimation of structural equation models with continuous and polytomous variables

Lee, Sik‐Yum, Poon, Wai‐Yin, Bentler, P. M.·1995·British Journal of Mathematical and Statistical Psychology

Abstract

This paper develops a computationally efficient procedure for analysis of structural equation models with continuous and polytomous variables. A partition maximum likelihood approach is used to obtain the first stage estimates of the thresholds and the polyserial and polychoric correlations in the underlying correlation matrix. Then, based on the joint asymptotic distribution of the first stage estimator and an appropriate weight matrix, a generalized least squares approach is employed to estimate the structural parameters in the correlation structure. Asymptotic properties of the estimators are derived. Some simulation studies are conducted to study the empirical behaviours and robustness of the procedure, and compare it with some existing methods.

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Metadata

Authors
Lee, S., Poon, W., & Bentler, P. M.
Venue
British Journal of Mathematical and Statistical Psychology
Publisher
Wiley
Published
1995-11
Volume
48
Issue
2
Pages
339-358
ISSN
  • 0007-1102 (ISSN-L)
  • 2044-8317
OpenAlex
W1974874432
Cited by
247
References
0
FWCI
6.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A two‐stage estimation of structural equation models with continuous and polytomous variables. https://app.cochat.ai/papers/10.1111/j.2044-8317.1995.tb01067.x
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Lee, S., Poon, W., & Bentler, P. M. (1995). A two‐stage estimation of structural equation models with continuous and polytomous variables. British Journal of Mathematical and Statistical Psychology. https://doi.org/10.1111/j.2044-8317.1995.tb01067.x

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.