Results 51 to 60 of about 12,078 (210)
The effect of polytomous item ratio on ability estimation in multistage tests
The aim of the study is to examine the effect of polytomous item ratio on ability estimation in different conditions in multistage tests (MST) using mixed tests. The study is simulation-based research. In the PISA 2018 application, the ability parameters
Hasibe Yahsi Sari, Hülya Kelecioğlu
doaj +1 more source
ITEM RESPONSE THEORY ANALYSIS ON STUDENT STATISTICAL LITERACY TESTS
This study aims to evaluate the quality of statistical literacy instruments. With the ex post facto approach, the results of the statistical literacy tests of 150 students were used.
Mila Yulia Herosian +2 more
doaj +1 more source
Multi-Group Confirmatory Factor Analysis for Testing Measurement Invariance in Mixed Item Format Data [PDF]
This simulation study investigated the empirical Type I error rates of using the maximum likelihood estimation method and Pearson covariance matrix for multi-group confirmatory factor analysis (MGCFA) of full and strong measurement invariance hypotheses ...
Koh, Kim H., Zumbo, Bruno D.
core +2 more sources
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Item selection by Latent Class-based methods [PDF]
The evaluation of nursing homes is usually based on the administration of questionnaires made of a large number of polytomous items. In such a context, the Latent Class (LC) model represents a useful tool for clustering subjects in homogenous groups ...
Bartolucci, Francesco +2 more
core
Asymptotic standard errors for reliability coefficients in item response theory
Abstract In a recent review, Liu et al. (Psychological Methods, 2025b) classified reliability coefficients into two types: classical test theory (CTT) reliability and proportional reduction in mean squared error (PRMSE). This article focuses on quantifying the sampling variability of these coefficients under item response theory (IRT) models.
Youjin Sung, Yang Liu
wiley +1 more source
Multilevel IRT Modeling in Practice with the Package mlirt [PDF]
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error.
Fox, Jean-Paul
core +4 more sources
‘Family Health Partner’: A New Advisory Service for Parents With Children in Need of Care
ABSTRACT Background Families with a child in need of care are exposed to great stress. This leads to risks that often result in a poor living and care situation for families. To support them, an innovative, regionally anchored advisory service is being developed by so‐called Family Health Partners (German acronym: FGP) as part of the NEST project. This
Stefan Nickel +3 more
wiley +1 more source
Method of successive dichotomizations: An improved method for estimating measures of latent variables from rating scale data. [PDF]
The most commonly used models for estimating measures of latent variables from polytomous rating scale data are the Andrich rating scale model and the Samejima graded response model. The Andrich model has the undesirable property of estimating disordered
Chris Bradley, Robert W Massof
doaj +1 more source
Estimating the reliability of composite scores [PDF]
In situations where multiple tests are administered (such as the GCSE subjects), scores from individual tests are frequently combined to produce a composite score.
He, Qingping
core

