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Research article

First published 2006-05

An Explained Variation Measure for Ordinal Response Models With Comparisons to Other Ordinal R ² Measures

Michael G. Lacy

Sociological Methods & Research

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Research article

First published 2022-10

Multivariate ordinal random effects models including subject and group specific response style effects

Gunther Schauberger, Gerhard Tutz

Statistical Modelling

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Research article

First published 2007-7

A Transition Model for Analysis of Repeated Measure Ordinal Response Data to Identify the Effects of Different Treatments

M. Ganjali, Z. Rezaee

Therapeutic Innovation & Regulatory Science

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Research article

First published 2016-10

Item response theory and structural equation modelling for ordinal data: Describing the relationship between KIDSCREEN and Life-H

Andrew C Titman, Gillian A Lancaster, Allan F Colver

Statistical Methods in Medical Research

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Research article

First published 2024-6

Bayesian compositional models for ordinal response

Li Zhang, Xinyan Zhang, Justin M Leach [...]

Statistical Methods in Medical Research

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Research article

First published 2020-2

Ordinal Data Models for No-Opinion Responses in Attitude Survey

Maria Iannario, Marica Manisera, Domenico Piccolo [...]

Sociological Methods & Research

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Research article

First published 2004-07

A spatial model with ordinal responses for grazing impact data

Mark J Brewer, David A Elston, Matthew EA Hodgson [...]

Statistical Modelling

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Research article

First published 2002-10

Specification issues in stratified variance component ordinal response models

Leonardo Grilli, Carla Rampichini

Statistical Modelling

Free access

Research article

First published 2007-9

Estimating Parameters of Dichotomous and Ordinal Item Response Models with Gllamm

Xiaohui Zheng, Sophia Rabe-Hesketh

The Stata Journal: Promoting communications on statistics and Stata

Open access

Research article

First published 2025

An Ordinal Item Response Model for Understanding Attitudes

Ingrid Mauerer, Gerhard Tutz

Sociological Methods & Research

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