Results 31 to 40 of about 1,237 (160)

Bias and Linking Error in Fixed Item Parameter Calibration

AppliedMath
The two-parameter logistic (2PL) item response theory (IRT) model is frequently applied to analyze group differences for multivariate binary random variables.
Alexander Robitzsch
doaj   +1 more source

Applying Item Response Theory model for evaluating item and test properties of academic potential test for students with disability

Jurnal Penelitian dan Evaluasi Pendidikan, 2021
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, Dian Putri Permatasari, Unita Werdi Rahajeng   +2 more
doaj   +1 more source

IRT‐based response style models and related methodology: Review and commentary

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley   +1 more source

Stability of estimation item parameter in IRT dichotomy considering the number of participants

REID (Research and Evaluation in Education)
This research is related to item response theory (IRT) which is needed to measure the goodness of a test set, while item parameter estimation is needed to determine the technical properties of a test item.
Zulfa Safina Ibrahim, Heri Retnawati, Alfred Irambona, Beatriz Eugenia Orantes Pérez   +3 more
doaj   +1 more source

Gibbs-Slice Sampling Algorithm for Estimating the Four-Parameter Logistic Model

Frontiers in Psychology, 2020
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, Jing Lu, Hang Du, Hang Du, Zhaoyuan Zhang, Zhaoyuan Zhang   +5 more
doaj   +1 more source

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

Comparison of item response theory ability and item parameters according to classical and Bayesian estimation methods

International Journal of Assessment Tools in Education
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

The Uniform Prior for Bayesian Estimation of Ability in Item Response Theory Models

International Journal of Assessment Tools in Education, 2020
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

Item-Weighted Likelihood Method for Measuring Growth in Longitudinal Study With Tests Composed of Both Dichotomous and Polytomous Items

Frontiers in Psychology, 2021
In this paper, a new item-weighted scheme is proposed to assess examinees’ growth in longitudinal analysis. A multidimensional Rasch model for measuring learning and change (MRMLC) and its polytomous extension is used to fit the longitudinal item ...
Xuemei Xue, Jing Lu, Jiwei Zhang
doaj   +1 more source

Asymptotic standard errors for reliability coefficients in item response theory

British Journal of Mathematical and Statistical Psychology, EarlyView.
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