Results 81 to 90 of about 992,897 (133)

A class of Multidimensional Latent Class IRT models for ordinal polytomous item responses [PDF]

arXiv, 2012
We propose a class of Item Response Theory models for items with ordinal polytomous responses, which extends an existing class of multidimensional models for dichotomously-scored items measuring more than one latent trait. In the proposed approach, the random vector used to represent the latent traits is assumed to have a discrete distribution with ...
arxiv  

A Bayesian Nonparametric IRT Model [PDF]

arXiv, 2015
This paper introduces a flexible Bayesian nonparametric Item Response Theory (IRT) model, which applies to dichotomous or polytomous item responses, and which can apply to either unidimensional or multidimensional scaling. This is an infinite-mixture IRT model, with person ability and item difficulty parameters, and with a random intercept parameter ...
arxiv  

Knowledge and handling practices for raw hen's eggs during purchase, preparation, storage, and consumption: a cross sectional study

Scientific Reports
The study aimed to assess the hen’s eggs knowledge, handling practices, and consumption among Palestinian consumers using the cross-sectional survey design.
Mohammed Sabbah, Kamal Badrasawi, Lubna Kharraz, Manal Badrasawi   +3 more
doaj   +1 more source

Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda

International Journal of Food Science, 2014
The inexplicable nature of food insecurity in parts of Uganda and worldwide necessitated an investigation into the nature, extent, and differentials of household food security.
Abraham Owino, Ronald Wesonga, Fabian Nabugoomu   +2 more
doaj   +1 more source

Polytomous Explanatory Item Response Models for Item Discrimination: Assessing Negative-Framing Effects in Social-Emotional Learning Surveys [PDF]

Modeling item parameters as a function of item characteristics has a long history but has generally focused on models for item location. Explanatory item response models for item discrimination are available but rarely used. In this study, we extend existing approaches for modeling item discrimination from dichotomous to polytomous item responses.
arxiv   +1 more source

Development and validation of a new measure of school-age bullying experiences for adults: the Bullying and Exclusion Experiences Scale (BEES)

Discover Psychology
Few options are available for measuring the adult impact of childhood bullying. The Bullying Experiences and Exclusion Scale (BEES) is an 18-item retrospective self-report measure of school-age bullying experiences in three different roles (victim ...
Russell M. Deighton, Anna Murphy
doaj   +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

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  

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  

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