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

下载

页码：211 / 223

页数：13

共 50 条

[31] Latent-Variable Modelling of Ordinal Outcomes in Language Data Analysis
Soenning, Lukas
Krug, Manfred
Vetter, Fabian
Schmid, Timo
Leucht, Anne
Messer, Paul
JOURNAL OF QUANTITATIVE LINGUISTICS, 2024, 31 (02) : 77 - 106
[32] Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory
Viana, Alana Tavares
Goncalves, Kelly Cristina Mota
Paez, Marina Silva
JOURNAL OF APPLIED STATISTICS, 2024,
[33] Factor models for ordinal variables with covariate effects on the manifest and latent variables:: A comparison of LISREL and IRT approaches
Moustaki, I
Jöreskog, KG
Mavridis, D
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2004, 11 (04) : 487 - 513
[34] Latent variables, measurement error and methods for analysing longitudinal binary and ordinal data
Palta, M
Lin, CY
STATISTICS IN MEDICINE, 1999, 18 (04) : 385 - 396
[35] LOMo: Latent Ordinal Model for Facial Analysis in Videos
Sikka, Karan
Sharma, Gaurav
Bartlett, Marian
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 5580 - 5589
[36] Latent variable model for mixed correlated power series and ordinal longitudinal responses with non ignorable missing values
Razie, F.
Samani, E. Bahrami
Ganjali, M.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 46 (12) : 5738 - 5753
[37] Discriminatively Trained Latent Ordinal Model for Video Classification
Sikka, Karan
Sharma, Gaurav
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 40 (08) : 1829 - 1844
[38] Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models
Kim, Minyoung
Pavlovic, Vladimir
20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020), 2020, : 252 - 261
[39] Latent variable models for misclassified polytomous outcome variables
Eickhoff, JC
Amemiya, Y
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 2005, 58 : 359 - 375
[40] A Constrained Latent Variable Model
Varol, Aydin
Salzmann, Mathieu
Fua, Pascal
Urtasun, Raquel
2012 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2012, : 2248 - 2255

← 1 2 3 4 5 →