Results 51 to 60 of about 14,737,931 (186)
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
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
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 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
Karakteristik Pengembangan Tes Keterampilan Berpiki Kritis Bumi dan Antariksa Untuk Calon Guru
The purpose of this study was to analyze the characteristics of the f critical thinking skills test and measurement errors according to classical test theory and item response theory.
Taufik Ramlan Ramalis, Dadi Rusdiana
doaj +1 more source
Multidimensional unipolar IRT and applications to the measurement of print exposure
Abstract Item response theory (IRT) has been a prominent modelling framework in educational and psychological measurement. Traditional IRT models are bipolar, commonly assuming symmetric measurement link functions and symmetric trait distributions over a latent continuum unbounded at both ends. However, many measured constructs, such as print exposure,
Qi (Helen) Huang, Daniel M. Bolt
wiley +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
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
Abstract Traditional item response theory (IRT) models involve symmetric response probability functions, but a developing area of research has focused on asymmetric alternatives. To date, these studies have focused primarily on introducing new asymmetric models, detailing their mathematical formulations, explaining how to interpret their item ...
Hyejin Shim, Wes Bonifay
wiley +1 more source
Kestabilan Estimasi Parameter Kemampuan pada Model Logistik Item Response Theory Ditinjau dari Panjang Tes [PDF]
This study aims to test the stability of ability parameter estimation of Logistic Parameter ItemResponse Theory (IRT) model based on the length of test used. Logistic Parameter Model used in thisresearch is 2 Logistic Parameter (2PL) Model. The data used
Falani, Ilham; Universitas Indraprasta PGRI +1 more
core +1 more source

