David M LaHuis,Caitlin E Blackmore,Gage M Ammons
David M LaHuis
This study compared maximum a posteriori (MAP), expected a posteriori (EAP), and Markov Chain Monte Carlo (MCMC) approaches to computing person scores from the Multi-Unidimensional Pairwise Preference Model. The MCMC approach used the No-U-...
Compound Optimal Design for Online Item Calibration Under the Two-Parameter Logistic Model [0.03%]
基于两参数逻辑斯蒂模型的在线项目标定的复合最优设计方法研究
Lihong Song,Wenyi Wang
Lihong Song
Under the theory of sequential design, compound optimal design with two optimality criteria can be used to solve the problem of efficient calibration of item parameters of item response theory model. In order to efficiently calibrate item p...
Sandip Sinharay,Matthew S Johnson
Sandip Sinharay
This article suggests a new approach based on Bayesian decision theory (e.g., Cronbach & Gleser, 1965; Ferguson, 1967) for detection of test fraud. The approach leads to a simple decision rule that involves the computation of the posterior ...
R Package for Calculating Estimators of the Proportion of Explained Variance and Standardized Regression Coefficients in Multiply Imputed Datasets [0.03%]
用于计算多重插补数据集中的解释方差比例估计量和标准化回归系数的R包
Joost R van Ginkel,Julian D Karch
Joost R van Ginkel
Peter Baldwin,Irina Grabovsky,Kimberly A Swygert et al.
Peter Baldwin et al.
Methods for detecting item parameter drift may be inadequate when every exposed item is at risk for drift. To address this scenario, a strategy for detecting item parameter drift is proposed that uses only unexposed items deployed in a stra...
Allison W Cooperman,Ming Him Tai,Joseph N DeWeese et al.
Allison W Cooperman et al.
Adaptive measurement of change (AMC) uses computerized adaptive testing (CAT) to measure and test the significance of intraindividual change on one or more latent traits. The extant AMC research has so far assumed that item parameter values...
Inference of Correlations Among Testlet Effects: A Latent Variable Selection Method [0.03%]
测试题块效应间相关性的推断：一种潜在变量选择方法
Xin Xu,Jinxin Guo,Tao Xin
Xin Xu
In psychological and educational measurement, a testlet-based test is a common and popular format, especially in some large-scale assessments. In modeling testlet effects, a standard bifactor model, as a common strategy, assumes different t...
James O Ramsay,Juan Li,Joakim Wallmark et al.
James O Ramsay et al.
Modifications of current psychometric models for analyzing test data are proposed that produce an additive scale measure of information. This information measure is a one-dimensional space curve or curved surface manifold that is invariant ...
A Generalized Multi-Detector Combination Approach for Differential Item Functioning Detection [0.03%]
一种广义的多项检测器组合方法用于差分项目功能检测
Shan Huang,Hidetoki Ishii
Shan Huang
Many studies on differential item functioning (DIF) detection rely on single detection methods (SDMs), each of which necessitates specific assumptions that may not always be validated. Using an inappropriate SDM can lead to diminished accur...
Test Security and the Pandemic: Comparison of Test Center and Online Proctor Delivery Modalities [0.03%]
测试安全性与疫情：对考试中心和在线监考交付模式的比较
Kirk A Becker,Jinghua Liu,Paul E Jones
Kirk A Becker
Published information is limited regarding the security of testing programs, and even less on the relative security of different testing modalities: in-person at test centers (TC) versus remote online proctored (OP) testing. This article be...