Journal of Educational and Behavioral Statistics

1976 - 2025

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Volume 234, issue 2, 2009

Effects of Diesel Exhaust Particles on Antigen-Presenting Cells and Antigen-Specific Th Immunity in Mice pp. 200-209

Ken-Ichiro Inoue, Eiko Koike, Hirohisa Takano, Rie Yanagisawa, Takamichi Ichinose and Toshikazu Yoshikawa

Volume 50, issue 2, 2025

Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models pp. 187-213

Na Shan and Ping-Feng Xu

Predictive Performance of Bayesian Stacking in Multilevel Education Data pp. 214-238

Mingya Huang and David Kaplan

Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables pp. 239-271

Roy Levy and Daniel McNeish

Redefining Item Response Models for Small Samples pp. 272-295

Jean-Paul Fox

Detecting Compromised Items With Response Times Using a Bayesian Change-Point Approach pp. 296-330

Yang Du and Susu Zhang

Bayesian Diagnostic Classification Models for a Partially Known Q-Matrix pp. 331-382

Kazuhiro Yamaguchi

Volume 50, issue 1, 2025

Editorial pp. 3-4

Gongjun Xu and Minjeong Jeon

Modeling Partial Knowledge in Multiple-Choice Cognitive Diagnostic Assessment pp. 5-43

Kentaro Fukushima, Nao Uchida and Kensuke Okada

Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance pp. 44-71

Peter Z. Schochet

Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity pp. 72-101

Joshua B. Gilbert, Luke W. Miratrix, Mridul Joshi and Benjamin W. Domingue

A Novel Numerical Method for Solving Unknown Statistical Quantities in Multivariate Regression Models pp. 102-127

William R. Dardick and Jeffrey R. Harring

Using Extant Data to Improve Estimation of the Standardized Mean Difference pp. 128-148

Kaitlyn G. Fitzgerald and Elizabeth Tipton

Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment pp. 149-179

Daoxuan Fu, Chunying Qin, Zhaosheng Luo, Yujun Li, Xiaofeng Yu and Ziyu Ye

Reviewer Acknowledgments pp. 180-182

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Volume 49, issue 6, 2024

Mixed-Effects Location Scale Models for Joint Modeling School Value-Added Effects on the Mean and Variance of Student Achievement pp. 879-911

George Leckie, Richard Parker, Harvey Goldstein and Kate Tilling

A Simple Technique Assessing Ordinal and Disordinal Interaction Effects pp. 912-929

Sang-June Park and Youjae Yi

Improving Balance in Educational Measurement: A Legacy of E. F. Lindquist pp. 930-945

Daniel Koretz

The Use of Reparametrization and Constraints on Linear Models to Parse Qualitative and Quantitative Information for a Set of Predictors pp. 955-975

Ernest C. Davenport, Mark L. Davison and Kyungin Park

Using Regularization to Identify Measurement Bias Across Multiple Background Characteristics: A Penalized Expectation–Maximization Algorithm pp. 976-1012

William C. M. Belzak and Daniel J. Bauer

Equivalencies Between Ad Hoc Strategies and Multivariate Models for Meta-Analysis of Dependent Effect Sizes pp. 1013-1043

James Pustejovsky and Man Chen

Volume 49, issue 5, 2024

Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics pp. 691-693

Steven Andrew Culpepper

Strive for Measurement, Set New Standards, and Try Not to Be Evil pp. 694-701

Derek C. Briggs

Harnessing AI for Educational Measurement: Standards and Emerging Frontiers pp. 702-708

Hua-Hua Chang

AI and Psychometrics: Epistemology, Process, and Politics pp. 709-714

Ezekiel Dixon-Román

Artificial Intelligence and Educational Measurement: Opportunities and Threats pp. 715-722

Andrew D. Ho

How Do We Demonstrate AI Responsibility: The Devil Is in the Details pp. 723-729

Matthew S. Johnson

A Two-Level Adaptive Test Battery pp. 730-752

Wim J. van der Linden, Luping Niu and Seung W. Choi

Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model pp. 753-779

Joakim Wallmark, James O. Ramsay, Juan Li and Marie Wiberg

Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial pp. 780-816

Reagan Mozer, Luke Miratrix, Jackie Eunjung Relyea and James S. Kim

Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming pp. 817-847

Francesco Innocenti, Math J. J. M. Candel, Frans E. S. Tan and Gerard J. P. van Breukelen

A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement pp. 848-874

Jordan M. Wheeler, Allan S. Cohen and Shiyu Wang

Volume 49, issue 4, 2024

Latent Trait Item Response Models for Continuous Responses pp. 499-532

Gerhard Tutz and Pascal Jordan

Pairwise Regression Weight Contrasts: Models for Allocating Psychological Resources pp. 533-564

Mark L. Davison, Hao Jia and Ernest C. Davenport

Evaluating Psychometric Differences Between Fast Versus Slow Responses on Rating Scale Items pp. 565-594

Nana Kim and Daniel M. Bolt

Identifying Informative Predictor Variables With Random Forests pp. 595-629

Yannick Rothacher and Carolin Strobl

Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design pp. 630-657

Jyun-Hong Chen and Hsiu-Yi Chao

A Multistrategy Cognitive Diagnosis Model Incorporating Item Response Times Based on Strategy Selection Theories pp. 658-686

Junhuan Wei, Liufen Luo, Yan Cai and Dongbo Tu

Volume 49, issue 3, 2024

Cross-Classified Item Response Theory Modeling With an Application to Student Evaluation of Teaching pp. 311-341

Sijia Huang and Li Cai

DINA-BAG: A Bagging Algorithm for DINA Model Parameter Estimation in Small Samples pp. 342-367

David Arthur and Hua-Hua Chang

Extending an Identified Four-Parameter IRT Model: The Confirmatory Set-4PNO Model pp. 368-402

Justin L. Kern

An Improved Inferential Procedure to Evaluate Item Discriminations in a Conditional Maximum Likelihood Framework pp. 403-430

Clemens Draxler, Andreas Kurz, Can Gürer and Jan Philipp Nolte

A Multidimensional Partially Compensatory Response Time Model on Basis of the Log-Normal Distribution pp. 431-464

Jochen Ranger, Christoph König, Benjamin W. Domingue, Jörg-Tobias Kuhn and Andreas Frey

Alternatives to Weighted Item Fit Statistics for Establishing Measurement Invariance in Many Groups pp. 465-493

Sean Joo, Montserrat Valdivia, Dubravka Svetina Valdivia and Leslie Rutkowski

Volume 49, issue 2, 2024

A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning pp. 151-172

Youmi Suk and Kyung T. Han

Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles pp. 173-206

Esther Ulitzsch, Steffi Pohl, Lale Khorramdel, Ulf Kroehne and Matthias von Davier

Generalizing Beyond the Test: Permutation-Based Profile Analysis for Explaining DIF Using Item Features pp. 207-240

Maria Bolsinova, Jesper Tijmstra, Leslie Rutkowski and David Rutkowski

Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items pp. 241-267

Zachary K. Collier, Minji Kong, Olushola Soyoye, Kamal Chawla, Ann M. Aviles and Yasser Payne

A General Mixture Model for Cognitive Diagnosis pp. 268-307

Joemari Olea and Kevin Carl Santos

Volume 49, issue 1, 2024

Finding the Right Grain-Size for Measurement in the Classroom pp. 3-31

Mark Wilson

Cognitive Diagnosis Testlet Model for Multiple-Choice Items pp. 32-60

Lei Guo, Wenjie Zhou and Xiao Li

A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies pp. 61-91

Youmi Suk

Chance-Constrained Automated Test Assembly pp. 92-120

Giada Spaccapanico Proietti, Mariagiulia Matteucci, Stefania Mignani and Bernard P. Veldkamp

Bayesian Exploratory Factor Analysis via Gibbs Sampling pp. 121-142

Adrian Quintero, Emmanuel Lesaffre and Geert Verbeke

Corrigendum to Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes pp. 143-146

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Erratum to Identifying Informative Predictor Variables With Random Forests pp. 147-147

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