Refining effect size measures and classification for differential item functioning: Toward unified guidelines across methods [0.03%]
精炼差异项目功能效应量衡量标准和分类：跨方法统一指南的实证基础
Michaela Cichrová,Adéla Hladká,Patrícia Martinková
Michaela Cichrová
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...
Connections between the basic local independence model and true and error models in the study of preference [0.03%]
基本局部独立模型与偏好研究中的真实模型和错误模型之间的联系
Luca Stefanutti,Andrea Brancaccio,Debora de Chiusole
Luca Stefanutti
Two classes of probabilistic models are compared: the true and error (TE) type models and models in the family of the basic local independence model (BLIM). The former finds applications in the study of human preference, whereas the latter ...
Proficiency order invariance of MLE, MAP, EAP, and WLE in item response theory [0.03%]
项目反应理论中MLE、MAP、EAP和WLE的熟练度顺序不变性
Peter Baldwin
Peter Baldwin
When high-stakes decisions depend on test scores, it is natural to ask whether examinees' relative standing is determined by the response evidence or by the scoring rule. This paper characterizes when four IRT proficiency estimators-maximum...
L Andries van der Ark,Wilco H M Emons,Jules L Ellis et al.
L Andries van der Ark et al.
We discuss two approaches to estimating the true score from classical test theory, each with a corresponding measure of uncertainty due to measurement error: the classical method with the standard error of measurement (SEM) and Kelley's met...
Oscar L Olvera Astivia,Yijun Cheng,Bruno D Zumbo
Oscar L Olvera Astivia
Categorical structural equation models (cat-SEM) typically rely on tetrachoric/polychoric correlations under a latent multivariate normality assumption. This can be generalized to an elliptical latent trait, whose radial symmetry justifies ...
Regularized reduced rank regression for mixed predictor and response variables [0.03%]
混合响应和预测变量的正则化降秩回归
Lorenza Cotugno,Mark de Rooij,Roberta Siciliano
Lorenza Cotugno
In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high-dimensional settings. GMR3 is a regression method for a mix of numeri...
Lawrence T DeCarlo
Lawrence T DeCarlo
A model for multiple-choice (MC) items based on signal detection theory (SDT), the MC-SDT model (DeCarlo, 2021a), follows from assumptions about perceptual and decision processes involved when examinees choose alternatives for MC items. The...
Modular item response and structural equation modelling via measurement and uncertainty preserving parametric modelling [0.03%]
基于度量与不确定性保守参数模型的项目反应及结构方程模块化建模方法
Roy Levy
Roy Levy
Latent variable item response and structural equation models are widely used to model constructs and acknowledge measurement error in research settings and operational assessments. Such work often proceeds in stages, where the results of an...
Approximating multidimensionality with asymmetric unidimensional IRT models [0.03%]
用不对称的一维项目反应模型近似多维性
Xiangyi Liao,Yinqiu He,Daniel Bolt et al.
Xiangyi Liao et al.
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 dimensional...
Composite marginal likelihood estimation of higher-order diagnostic classification models under high dimensionality [0.03%]
高维性下高阶诊断分类模型的合成边际似然估计方法研究
Minho Lee,Yon Soo Suh
Minho Lee
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 increas...