Factor Models for Ordinal Variables With Covariate Effects on the Manifest and Latent Variables: A Comparison of LISREL and IRT Approaches

Irini Moustaki; Karl G. Jreskog; Dimitris Mavridis

首页> 外文期刊>Structural Equation Modeling: A Multidisciplinary Journal >Factor Models for Ordinal Variables With Covariate Effects on the Manifest and Latent Variables: A Comparison of LISREL and IRT Approaches

【24h】

Factor Models for Ordinal Variables With Covariate Effects on the Manifest and Latent Variables: A Comparison of LISREL and IRT Approaches

机译：对清单变量和潜在变量具有协变量影响的序数变量的因子模型：LISREL和IRT方法的比较

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

We consider a general type of model for analyzing ordinal variables with covariate effects and 2 approaches for analyzing data for such models, the item response theory (IRT) approach and the PRELIS-LISREL (PLA) approach. We compare these 2 approaches on the basis of 2 examples, 1 involving only covariate effects directly on the ordinal variables and 1 involving covariate effects on the latent variables in addition.

机译：我们考虑一种用于分析具有协变量效应的序数变量的通用模型，以及用于分析此类模型数据的2种方法，即项目响应理论（IRT）方法和PRELIS-LISREL（PLA）方法。我们在2个示例的基础上比较了这2种方法，其中1个仅直接对序数变量产生协变量效应，另外1个对潜在变量产生协变量效应。

著录项

来源
《Structural Equation Modeling: A Multidisciplinary Journal》 |2004年第4期|487-513|共27页
作者
Irini Moustaki; Karl G. Jreskog; Dimitris Mavridis;
展开▼
作者单位

Statistics Department, Athens University of Economics and Business.;

Department of Information Science, Uppsala University.;

Statistics Department, Athens University of Economics and Business.;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. A general class of latent variable models for ordinal manifest variables with covariate effects on the manifest and latent variables [J] . Irini Moustaki The British journal of mathematical and statistical psychology . 2003,第2期

机译：序数清单变量的潜在变量模型的一般类别，对清单和潜在变量具有协变量影响
2. Latent variable models with ordinal categorical covariates [J] . Wai-Yin Poon, Hai-Bin Wang Statistics and computing . 2012,第5期

机译：具有序数分类协变量的潜在变量模型
3. The Comparison of Latent Variable Propensity Score Models to Traditional Propensity Score Models under Conditions of Covariate Unreliability [J] . Whittaker Tiffany A. Multivariate behavioral research . 2020,第4期

机译：在协变度不可靠性条件下，潜在可变倾销模型与传统倾销分数模型的比较
4. Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models [C] . Minyoung Kim, Vladimir Pavlovic IEEE International Conference on Data Mining . 2020

机译：序序VAE：深潜变量模型中的单值内容因子
5. An ordinal logistic regression model with misclassification of the outcome variable and categorical covariate. [D] . Shirkey, Beverly Ann. 2009

机译：具有结果变量和分类协变量分类错误的序数逻辑回归模型。
6. Exploring the Correlation Between Multiple Latent Variables and Covariates in Hierarchical Data Based on the Multilevel Multidimensional IRT Model [O] . Jiwei Zhang, Jing Lu, Feng Chen, 2019

机译：基于多维级多维IRT模型的分层数据中多个潜变量与协变的相关性
7. Latent variable models with ordinal categorical covariates [O] . Poon Wai-Yin, Wang Hai-Bin, 王海滨 2012

机译：具有序数分类协变量的潜在变量模型

Factor Models for Ordinal Variables With Covariate Effects on the Manifest and Latent Variables: A Comparison of LISREL and IRT Approaches

摘要

著录项

相似文献

相关主题

期刊订阅