Results 111 to 120 of about 1,018,188 (173)

A new robust approach for the polytomous logistic regression model based on Rényi's pseudodistances [PDF]

arXiv
This paper presents a robust alternative to the Maximum Likelihood Estimator (MLE) for the Polytomous Logistic Regression Model (PLRM), known as the family of minimum R\`enyi Pseudodistance (RP) estimators. The proposed minimum RP estimators are parametrized by a tuning parameter $\alpha\geq0$, and include the MLE as a special case when $\alpha=0 ...
arxiv  

Mokken Scale Analysis in R [PDF]

Mokken scale analysis (MSA) is a scaling procedure for both dichotomous and polytomous items. It consists of an item selection algorithm to partition a set of items into Mokken scales and several methods to check the assumptions of two nonparametric item
L. Andries van der Ark
core   +1 more source

L’impact de la formulation des items dans les questionnaires d’enquête : une étude avec le modèle de Rasch pour les données polytomiques

Mesure et Évaluation en Éducation, 2010
Les enquêtes par questionnaire auto-administré sont un des principaux instruments de cueillette de données utilisés par les chercheurs en éducation et en sciences sociales en général.
Jean-Guy Blais, Julie Grondin
doaj   +1 more source

Tree-Based Global Model Tests for Polytomous Rasch Models [PDF]

, 2016
Basil Komboz, Carolin Strobl, Achim Zeileis   +2 more
openalex   +1 more source

Penalized polytomous ordinal logistic regression using cumulative logits. Application to network inference of zero-inflated variables [PDF]

arXiv, 2018
We consider the problem of variable selection when the response is ordinal, that is an ordered categorical variable. In particular, we are interested in selecting quantitative explanatory variables linked with the ordinal response variable and we want to determine which predictors are relevant. In this framework, we choose to use the polytomous ordinal
arxiv  

Georg Rasch and Benjamin Wright’s Struggle With the Unidimensional Polytomous Model With Sufficient Statistics [PDF]

, 2016
David Andrich
openalex   +1 more source

Psychometric properties of a COVID-19 health literacy scale in a sample of German school principals applying Rasch analysis

BMC Public Health
Background During the COVID-19 pandemic, health literacy was found to be an asset to manage health-related information. The HLS-COVID-Q22 has been developed to measure COVID-19 health literacy.
Marlene Meyer, Kevin Dadaczynski, Melanie Messer, Orkan Okan   +3 more
doaj   +1 more source

The Estimation of Item Response Models with the lmer Function from the lme4 Package in R [PDF]

In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an IRT framework is described based on generalized linear mixed modeling. The aspects of the framework
Abe Hofman, Francis Tuerlinckx, Ivailo Partchev, Marjan Bakker, Michel Nivard, Paul De Boeck, Robert Zwitser   +6 more
core   +1 more source

A Restricted Latent Class Model with Polytomous Attributes and Respondent-Level Covariates [PDF]

arXiv
We present an exploratory restricted latent class model where response data is for a single time point, polytomous, and differing across items, and where latent classes reflect a multi-attribute state where each attribute is ordinal. Our model extends previous work to allow for correlation of the attributes through a multivariate probit and to allow ...
arxiv  

Item response theory and the measurement of deprivation: Evidence from PSELL-3 [PDF]

Item Response Theory (IRT) has recently been proposed as a framework to measure deprivation. It allows deriving a latent measure of deprivation from a set of dichotomous observed items of deprivation and analyzing determinants of deprivation.
Fusco, Alessio, Raileanu Szeles, Monica
core