Psychometrika
Introduction
Psychometrika, 89(1)
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
Theory & methods
Remarks from the New Editor-in-Chief
—Sandip Sinharay []
Examining Differential Item Functioning from a Multidimensional IRT Perspective
—Terry A. Ackerman, Ye Ma []
Reducing Attenuation Bias in Regression Analyses Involving Rating Scale Data via Psychometric Modeling
—Cees A. W. Glas, Terrence D. Jorgensen, Debby ten Hove []
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment
—Robert J. Mislevy []
Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment
—Klaas Sijtsma, Jules L. Ellis, Denny Borsboom []
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)
—Yuqi Gu []
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models
—RÅ«ta JuozaitienÄ—, Ernst C. Wit []
A Note on Improving Variational Estimation for Multidimensional Item Response Theory
—Chenchen Ma, Jing Ouyang, Chun Wang, Gongjun Xu []
A Latent Hidden Markov Model for Process Data
—Xueying Tang []
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes
—Gyeongcheol Cho, Heungsun Hwang []
DIF Analysis with Unknown Groups and Anchor Items
—Gabriel Wallin, Yunxiao Chen, Irini Moustaki []
A Multidimensional Model to Facilitate Within Person Comparison of Attributes
—Mark L. Davison, Seungwon Chung, Nidhi Kohli, Ernest C. Davenport []
Adjusted Residuals for Evaluating Conditional Independence in IRT Models for Multistage Adaptive Testing
—Peter W. van Rijn, Usama S. Ali, Hyo Jeong Shin, Sean-Hwane Joo []
Regularized Variational Estimation for Exploratory Item Factor Analysis
—April E. Cho, Jiaying Xiao, Chun Wang, Gongjun Xu []
Book Review
Computational Aspects of Psychometric Methods by Martinková & Hladká
—Lin, Huilin Chen