A latent variable model for ordinal variables

被引：42
|
作者：
Moustaki, I [1 ]
机构：
[1] Univ London London Sch Econ & Polit Sci, Dept Stat, London WC2A 2AE, England
来源：
APPLIED PSYCHOLOGICAL MEASUREMENT | 2000年 / 24卷 / 03期
关键词：
full-information maximum likelihood estimation; generalized latent variable model; ordinal items; proportional odds model;
D O I：
10.1177/01466210022031679
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
A full-information maximum likelihood method for fitting a multidimensional latent variable model to a set of ordinal observed variables is discussed. This method is an implementation of a general class of models for ordinal variables, and for regression models with one ordinal dependent variable and all explanatory variables observed. Estimation of the model, scoring of persons on the latent dimensions, and the goodness-of-fit of the model are also discussed. The method is applied to an example dataset concerning attitudes toward technology.
引用
收藏
页码：211 / 223
页数：13
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