Results 41 to 50 of about 1,270 (156)

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

Principal goals at school: evaluating construct validity and response scaling format

Frontiers in Psychology
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

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

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

Approximating multidimensionality with asymmetric unidimensional IRT models

British Journal of Mathematical and Statistical Psychology, EarlyView.
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, Yinqiu He, Daniel Bolt, James Soland, Carlin Conner, Emily J. Solari   +5 more
wiley   +1 more source

Enhancing test quality in Lesotho Basic Education through Classical Test and Item Response Theory Analyses

Journal of Computer Adaptive Testing in Africa
  This study developed and psychometrically evaluated a Grade 6 mathematics test for Lesotho’s Cambridge curriculum using Classical Test Theory (CTT) and Item Response Theory (IRT). A quantitative psychometric design involving 200 learners from Cambridge
Lefa Clement Thamae
doaj   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

British Journal of Mathematical and Statistical Psychology, EarlyView.
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

Estimation of Standard Error, Linking Error, and Total Error for Robust and Nonrobust Linking Methods in the Two-Parameter Logistic Model

Stats
The two-parameter logistic (2PL) item response theory model is a statistical model for analyzing multivariate binary data. In this article, two groups are brought onto a common metric using the 2PL model using linking methods. The linking methods of mean–
Alexander Robitzsch
doaj   +1 more source