Journal of Educational and Behavioral Statistics

1976 - 2026

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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

N/a

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

N/a

Volume 48, issue 6, 2023

Introduction to JEBS Special Issue on Diagnostic Statistical Models pp. 687-689

Steven Andrew Culpepper and Gongjun Xu

Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach pp. 690-718

Qianru Liang, Jimmy de la Torre and Nancy Law

The Restricted DINA Model: A Comprehensive Cognitive Diagnostic Model for Classroom-Level Assessments pp. 719-749

Pablo Nájera, Francisco J. Abad, Chia-Yi Chiu and Miguel A. Sorrel

Optimizing Diagnostic Classification Models Application Considering Real-Life Constraints pp. 750-772

Kun Su and Robert A. Henson

Bayesian Analysis Methods for Two-Level Diagnosis Classification Models pp. 773-809

Kazuhiro Yamaguchi

Bayesian Estimation of Attribute Hierarchy for Cognitive Diagnosis Models pp. 810-841

Yinghan Chen and Shiyu Wang

Diagnosing Primary Students’ Reading Progression: Is Cognitive Diagnostic Computerized Adaptive Testing the Way Forward? pp. 842-865

Yan Li, Chao Huang and Jia Liu

IRT Models for Learning With Item-Specific Learning Parameters pp. 866-888

Albert Yu and Jeffrey A. Douglas

Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions pp. 889-913

Joshua B. Gilbert, James S. Kim and Luke W. Miratrix

A Diagnostic Tree Model for Adaptive Assessment of Complex Cognitive Processes Using Multidimensional Response Options pp. 914-941

Mark L. Davison, David J. Weiss, Joseph N. DeWeese, Ozge Ersan, Gina Biancarosa and Patrick C. Kennedy

Acknowledgments pp. 942-944

N/a

Volume 48, issue 5, 2023

Expertise on Offer: Why Isn’t Anyone Buying? pp. 547-572

Henry Braun

An Explicit Form With Continuous Attribute Profile of the Partial Mastery DINA Model pp. 573-602

Tian Shu, Guanzhong Luo, Zhaosheng Luo, Xiaofeng Yu, Xiaojun Guo and Yujun Li

Model Misspecification and Robustness of Observed-Score Test Equating Using Propensity Scores pp. 603-635

Gabriel Wallin and Marie Wiberg

Using Item Scores and Distractors to Detect Item Compromise and Preknowledge pp. 636-660

Kylie Gorney, James A. Wollack, Sandip Sinharay and Carol Eckerly

Clinical (In)Efficiency in the Prediction of Dangerous Behavior pp. 661-682

Ehsan Bokhari

Volume 48, issue 4, 2023

A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development pp. 387-419

Francesco Bartolucci, Fulvia Pennoni and Giorgio Vittadini

Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation pp. 420-453

Benjamin Lu, Eli Ben-Michael, Avi Feller and Luke Miratrix

Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches pp. 454-489

Simon Grund, Oliver Lüdtke and Alexander Robitzsch

Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times pp. 490-520

Hongyue Zhu, Hong Jiao, Wei Gao and Xiangbin Meng

Detecting Item Preknowledge Using Revisits With Speed and Accuracy pp. 521-542

Onur Demirkaya, Ummugul Bezirhan and Jinming Zhang

Volume 48, issue 3, 2023

A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys pp. 271-295

Yajuan Si, Roderick J. A. Little, Ya Mo and Nell Sedransk

A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams pp. 296-319

Joseph B. Lang

Handling Missing Data in Growth Mixture Models pp. 320-348

Daniel Y. Lee and Jeffrey R. Harring

Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables pp. 349-383

Patrícia Martinková, František Bartoš and Marek Brabec

Volume 48, issue 2, 2023

Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models pp. 147-188

Sally Paganin, Christopher J. Paciorek, Claudia Wehrhahn, Abel Rodríguez, Sophia Rabe-Hesketh and Perry de Valpine

Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis pp. 189-219

Yu Wang, Chia-Yi Chiu and Hans Friedrich Köhn

Deep Reinforcement Learning for Adaptive Learning Systems pp. 220-243

Xiao Li, Hanchen Xu, Jinming Zhang and Hua-hua Chang

Breaking Our Silence on Factor Score Indeterminacy pp. 244-261

Niels G. Waller

Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces†pp. 262-268

Ziwei Zhang, Corissa T. Rohloff and Nidhi Kohli

Volume 48, issue 1, 2023

Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach pp. 3-36

Weicong Lyu, Jee-Seon Kim and Youmi Suk

A Collection of Numerical Recipes Useful for Building Scalable Psychometric Applications pp. 37-69

Harold Doran

Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes pp. 70-102

Mikkel Helding Vembye, James Eric Pustejovsky and Therese Deocampo Pigott

Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index pp. 103-141

Qingrong Tan, Yan Cai, Fen Luo and Dongbo Tu