Results 121 to 130 of about 1,018,188 (173)

A Restricted Latent Class Hidden Markov Model for Polytomous Responses, Polytomous Attributes, and Covariates: Identifiability and Application [PDF]

arXiv
We introduce a restricted latent class exploratory model for longitudinal data with ordinal attributes and respondent-specific covariates. Responses follow a hidden Markov model where the probability of a particular latent state at a time point is conditional on values at the previous time point of the respondent's covariates and latent state. We prove
arxiv  

Development of a Cancer Related Patient Empowerment Scale Using the Polytomous Rasch Measurement Model

, 2013
Caroline Bulsara, Irene Styles
openalex   +2 more sources

Maximum likelihood estimation in the sparse Rasch model [PDF]

arXiv
The Rasch model has been widely used to analyse item response data in psychometrics and educational assessments. When the number of individuals and items are large, it may be impractical to provide all possible responses. It is desirable to study sparse item response experiments.
arxiv  

MULTI-CRITERIA DECISION MAKING FOR REVERSE LOGISTIC CONTRACTOR SELECTION IN E-WASTE RECYCLING INDUSTRY USING POLYTOMOUS RASCH MODEL

, 2015
Muhammad Idham Sabtu, Nizaroyani Saibani, Rizauddin Ramli, Mohd Nizam Ab Rahman   +3 more
openalex   +2 more sources

lordif: An R Package for Detecting Differential Item Functioning Using Iterative Hybrid Ordinal Logistic Regression/Item Response Theory and Monte Carlo Simulations [PDF]

Logistic regression provides a flexible framework for detecting various types of differential item functioning (DIF). Previous efforts extended the framework by using item response theory (IRT) based trait scores, and by employing an iterative process ...
Laura E. Gibbons, Paul K. Crane, Seung W. Choi   +2 more
core   +1 more source

Random pairing MLE for estimation of item parameters in Rasch model [PDF]

arXiv
The Rasch model, a classical model in the item response theory, is widely used in psychometrics to model the relationship between individuals' latent traits and their binary responses on assessments or questionnaires. In this paper, we introduce a new likelihood-based estimator -- random pairing maximum likelihood estimator ($\mathsf{RP\text{-}MLE ...
arxiv  

A scoping review of Rasch analysis and item response theory in otolaryngology: Implications and future possibilities

Laryngoscope Investigative Otolaryngology
Objective Item response theory (IRT) is a methodological approach to studying the psychometric performance of outcome measures. This study aims to determine and summarize the use of IRT in otolaryngological scientific literature.
David T. Liu, Christian A. Mueller, Ahmad R. Sedaghat   +2 more
doaj   +1 more source

Using the polytomous Rasch model to equate the raw scores of two instruments given conditional estimates of the person parameters

, 2013
David Andrich, Dragana Surla
openalex   +1 more source

Scaling cognitive domains of the Montreal Cognitive Assessment (MoCA): An analysis using the Partial Credit Model [PDF]

, 2015
Freitas, Sandra, Prieto, Gerardo, Santana, Isabel, Simões, Mário Rodrigues   +3 more
core   +1 more source

Measurement properties of the Minimal Insomnia Symptom Scale (MISS) among cardiac arrest survivors – A Rasch evaluation study

Resuscitation Plus
Introduction: Cardiac arrest (CA) survivors often face significant health challenges, including insomnia, which can adversely affect their health-related quality of life.
Patrik Hellström, Johan Israelsson, Erik Blennow Nordström, Carina Hjelm, Anders Broström, Peter Hagell, Kristofer Årestedt   +6 more
doaj