Results 51 to 60 of about 13,793,876 (195)
This research aims to compare the ability and item parameter estimations of Item Response Theory according to Maximum likelihood and Bayesian approaches in different Monte Carlo simulation conditions.
Ergül Demir, Eray Selçuk
doaj +1 more source
Approximating multidimensionality with asymmetric unidimensional IRT models
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao +5 more
wiley +1 more source
Gibbs-Slice Sampling Algorithm for Estimating the Four-Parameter Logistic Model
The four-parameter logistic (4PL) model has recently attracted much interest in educational testing and psychological measurement. This paper develops a new Gibbs-slice sampling algorithm for estimating the 4PL model parameters in a fully Bayesian ...
Jiwei Zhang +5 more
doaj +1 more source
Universitas Brawijaya (UB) is one of the pioneers of inclusive education in higher education in Indonesia. One of the innovations in the policies related to inclusive education is affirmative action admissions special for students with disabilities ...
Sukaesi Marianti +2 more
doaj +1 more source
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley +1 more source
A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models [PDF]
The fully Bayesian estimation via the use of Markov chain Monte Carlo (MCMC) techniques has become popular for estimating item response theory (IRT) models.
Chang, Meng-I
core +1 more source
MULTILEVEL ITEM RESPONSE THEORY MODEL USING MML-GHQ METHOD FOR HIERARCHICAL DATA
Hierarchical item response data require a multilevel approach to capture the diversity of respondent abilities and item characteristics by separating variations between examinees and schools to make item parameter and ability estimates more precise ...
Alona Dwinata +3 more
doaj +1 more source
Abstract Differential Item Functioning (DIF) analysis is used to identify potentially biased items in multi‐item measurements. In addition to testing the statistical significance, it is essential to evaluate the practical significance of DIF through effect size measures.
Michaela Cichrová +2 more
wiley +1 more source
Principal goals at school: evaluating construct validity and response scaling format
The purpose of the present study was to test the efficacy and appropriateness of the 4-point response option of the Principal’s Goals Scale of the SASS (1999–2000) survey.
Faye Antoniou, Mohammed H. Alghamdi
doaj +1 more source
The Uniform Prior for Bayesian Estimation of Ability in Item Response Theory Models
ItemResponse Theory (IRT) models traditionally assume a normal distribution forability. Although normality is often a reasonable assumption for ability, it israrely met for observed scores in educational and psychological measurement.Assumptions ...
Tuğba Karadavut
doaj +1 more source

