FULL MAXIMUM-LIKELIHOOD ANALYSIS OF STRUCTURAL EQUATION MODELS WITH POLYTOMOUS VARIABLES

被引：73

作者：

LEE, SY ^{[1
]}

POON, WY ^{[1
]}

BENTLER, PM ^{[1
]}

机构：

[1] UNIV CALIF LOS ANGELES,LOS ANGELES,CA 90024

来源：

STATISTICS & PROBABILITY LETTERS | 1990年 / 9卷 / 01期

关键词：

covariance structures; Identification; maximum likelihood;

D O I：

10.1016/0167-7152(90)90100-L

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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. © 1990.

引用

页码：91 / 97

页数：7

共 18 条

[1]

BENTLER P. M., 1985, MULTIVARIATE ANAL, P9

[2]

Bentler P. M., 1985, THEORY IMPLEMENTATIO

[3] SOME CONTRIBUTIONS TO EFFICIENT STATISTICS IN STRUCTURAL MODELS - SPECIFICATION AND ESTIMATION OF MOMENT STRUCTURES [J].