Results 101 to 110 of about 1,018,188 (173)

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  

An Introduction to the Special Volume on "Psychometrics in R'' [PDF]

This special volume presents a select number of psychometric techniques, many of them original, and their implementation in R packages.
Jan de Leeuw, Patrick Mair
core   +1 more source

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  

plink: An R Package for Linking Mixed-Format Tests Using IRT-Based Methods [PDF]

The R package plink has been developed to facilitate the linking of mixed-format tests for multiple groups under a common item design using unidimensional and multidimensional IRT-based methods.
Jonathan P. Weeks
core   +1 more source

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

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

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

Probabilistic Outcome of Rasch Polytomous Model Upon Measurement of Statistical Learning [PDF]

, 2018
Zamalia Mahmud, Wan Syahira Wan Ramli, Shamsiah Sapri, Balkish Mohd Osman, Haliza Hasan   +4 more
openalex   +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

Marginal Maximum Likelihood Estimation of Item Response Models in R [PDF]

Item response theory (IRT) models are a class of statistical models used by researchers to describe the response behaviors of individuals to a set of categorically scored items.
Matthew S. Johnson
core   +1 more source