Full maximum likelihood analysis of structural equation models with polytomous variables
This paper is concerned with the analysis of structural equation models with polytomous variables. Identification conditions for the basic model are discussed. Theory for the full simultaneous maximum likelihood estimation of the thresholds and the covariance structure parameters is developed. An example is presented to illustrate the method.
Year of publication: |
1990
|
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Authors: | Lee, Sik-Yum ; Poon, Wai-Yin ; Bentler, P. M. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 9.1990, 1, p. 91-97
|
Publisher: |
Elsevier |
Subject: | Identification covariance structures maximum likelihood |
Saved in:
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