Journal of Educational and Behavioral Statistics

1976 - 2026

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Volume 47, issue 6, 2022

Pooling Interactions Into Error Terms in Multisite Experiments pp. 639-665

Wendy Chan and Larry Vernon Hedges

Testing Differential Item Functioning Without Predefined Anchor Items Using Robust Regression pp. 666-692

Weimeng Wang, Yang Liu and Hongyun Liu

Zero and One Inflated Item Response Theory Models for Bounded Continuous Data pp. 693-735

Dylan Molenaar, Mariana Cúri and Jorge L. Bazán

Cognitive Diagnosis Modeling Incorporating Response Times and Fixation Counts: Providing Comprehensive Feedback and Accurate Diagnosis pp. 736-776

Peida Zhan*, Kaiwen Man*, Stefanie A. Wind and Jonathan Malone

Acknowledgments pp. 777-780

N/a

Volume 47, issue 5, 2022

Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions pp. 507-543

Jin Liu

Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction pp. 544-575

J. R. Lockwood, Katherine E. Castellano and Daniel F. McCaffrey

Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings pp. 576-602

Benjamin W. Domingue, Klint Kanopka, Ben Stenhaug, Michael J. Sulik, Tanesia Beverly, Matthieu Brinkhuis, Ruhan Circi, Jessica Faul, Dandan Liao, Bruce McCandliss, Jelena Obradović, Chris Piech, Tenelle Porter, Project iLEAD Consortium, James Soland, Jon Weeks, Steven L. Wise and Jason Yeatman

Forced-Choice Ranking Models for Raters’ Ranking Data pp. 603-634

Su-Pin Hung and Hung-Yu Huang

Volume 47, issue 4, 2022

Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing pp. 367-405

Peter Z. Schochet

A Critical View on the NEAT Equating Design: Statistical Modeling and Identifiability Problems pp. 406-437

Ernesto San Martín and Jorge González

Statistical Inference for G-indices of Agreement pp. 438-458

Douglas G. Bonett

Regression Discontinuity Designs With an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English-Language Learners pp. 459-484

Youmi Suk, Peter M. Steiner, Jee-Seon Kim and Hyunseung Kang

Two Statistical Tests for the Detection of Item Compromise pp. 485-504

Wim J. van der Linden

Volume 47, issue 3, 2022

Reporting Proficiency Levels for Examinees With Incomplete Data pp. 263-296

Sandip Sinharay

A New Multiprocess IRT Model With Ideal Points for Likert-Type Items pp. 297-321

Kuan-Yu Jin, Yi-Jhen Wu and Hui-Fang Chen

Item Pool Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection pp. 322-352

Yunxiao Chen, Yi-Hsuan Lee and Xiaoou Li

What Is Actually Equated in “Test Equating†? A Didactic Note pp. 353-362

Wim J. van der Linden

Volume 47, issue 2, 2022

Comparison of Within- and Between-Series Effect Estimates in the Meta-Analysis of Multiple Baseline Studies pp. 131-166

Seang-Hwane Joo, Yan Wang, John Ferron, S. Natasha Beretvas, Mariola Moeyaert and Wim Van Den Noortgate

Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces pp. 167-201

Jin Liu, Robert A. Perera, Le Kang, Roy T. Sabo and Robert M. Kirkpatrick

On the Generalized S − X 2 –Test of Item Fit: Some Variants, Residuals, and a Graphical Visualization pp. 202-230

Jochen Ranger and Kay Brauer

Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model pp. 231-260

Steffen Nestler, Oliver Lüdtke and Alexander Robitzsch

Volume 47, issue 1, 2022

Using Sequence Mining Techniques for Understanding Incorrect Behavioral Patterns on Interactive Tasks pp. 3-35

Esther Ulitzsch, Qiwei He and Steffi Pohl

Mean Comparisons of Many Groups in the Presence of DIF: An Evaluation of Linking and Concurrent Scaling Approaches pp. 36-68

Alexander Robitzsch and Oliver Lüdtke

Block What You Can, Except When You Shouldn’t pp. 69-100

Nicole E. Pashley and Luke W. Miratrix

Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations pp. 101-125

Francis L. Huang

Volume 46, issue 6, 2021

Cross-Classified Random Effects Modeling for Moderated Item Calibration pp. 651-681

Seungwon Chung and Li Cai

A Rating Scale Mixture Model to Account for the Tendency to Middle and Extreme Categories pp. 682-716

Roberto Colombi, Sabrina Giordano and Gerhard Tutz

Detecting Noneffortful Responses Based on a Residual Method Using an Iterative Purification Process pp. 717-752

Yue Liu and Hongyun Liu

Item Characteristic Curve Asymmetry: A Better Way to Accommodate Slips and Guesses Than a Four-Parameter Model? pp. 753-775

Xiangyi Liao and Daniel M. Bolt

Acknowledgments pp. 776-778

N/a

Volume 46, issue 5, 2021

Design Considerations in Multisite Randomized Trials Probing Moderated Treatment Effects pp. 527-559

Nianbo Dong, Benjamin Kelcey and Jessaca Spybrook

Adaptive Weight Estimation of Latent Ability: Application to Computerized Adaptive Testing With Response Revision pp. 560-591

Shiyu Wang, Houping Xiao and Allan Cohen

Estimating Difference-Score Reliability in Pretest–Posttest Settings pp. 592-610

Zhengguo Gu, Wilco H. M. Emons and Klaas Sijtsma

Monitoring Item Performance With CUSUM Statistics in Continuous Testing pp. 611-648

Yi-Hsuan Lee and Charles Lewis

Volume 46, issue 4, 2021

The Use of the Posterior Probability in Score Differencing pp. 403-429

Sandip Sinharay and Matthew S. Johnson

On the Treatment of Missing Data in Background Questionnaires in Educational Large-Scale Assessments: An Evaluation of Different Procedures pp. 430-465

Simon Grund, Oliver Lüdtke and Alexander Robitzsch

Ordinal Approaches to Decomposing Between-Group Test Score Disparities pp. 466-500

David M. Quinn and Andrew D. Ho

A Practical Guide for Analyzing Large-Scale Assessment Data Using Mplus: A Case Demonstration Using the Program for International Assessment of Adult Competencies Data pp. 501-518

Takashi Yamashita, Thomas J. Smith and Phyllis A. Cummins

A Review of Handbook of Item Response Theory: Vol. 1 pp. 519-522

Peter F. Halpin

Volume 46, issue 3, 2021

Insights on Variance Estimation for Blocked and Matched Pairs Designs pp. 271-296

Nicole E. Pashley and Luke W. Miratrix

A Class of Cognitive Diagnosis Models for Polytomous Data pp. 297-322

Xuliang Gao, Wenchao Ma, Daxun Wang, Yan Cai and Dongbo Tu

Hybridizing Machine Learning Methods and Finite Mixture Models for Estimating Heterogeneous Treatment Effects in Latent Classes pp. 323-347

Youmi Suk, Jee-Seon Kim and Hyunseung Kang

Testing the Within-State Distribution in Mixture Models for Responses and Response Times pp. 348-373

Renske E. Kuijpers, Ingmar Visser and Dylan Molenaar

Testing Latent Variable Distribution Fit in IRT Using Posterior Residuals pp. 374-398

Scott Monroe

Volume 46, issue 2, 2021

Introduction to JEBS Special Issue on NAEP Linked Aggregate Scores pp. 135-137

Daniel F. McCaffrey and Steven A. Culpepper

Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale pp. 138-167

Sean F. Reardon, Demetra Kalogrides and Andrew D. Ho

Commentary on Reardon, Kalogrides, and Ho’s “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale†pp. 168-172

Daniel Bolt

Commentary on “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale†pp. 173-186

Mark L. Davison

Aggregate-Level Test-Scale Linking: A New Solution for an Old Problem? pp. 187-202

Tim Moses and Neil J. Dorans

Commentary on “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale†pp. 203-208

Alina A. von Davier

Validation Methods for Aggregate-Level Test Scale Linking: A Rejoinder pp. 209-218

Andrew D. Ho, Sean F. Reardon and Demetra Kalogrides

The Bayesian Covariance Structure Model for Testlets pp. 219-243

Jean-Paul Fox, Jeremias Wenzel and Konrad Klotzke

Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation pp. 244-265

Björn Andersson and Tao Xin

Volume 46, issue 1, 2021

Using Pooled Heteroskedastic Ordered Probit Models to Improve Small-Sample Estimates of Latent Test Score Distributions pp. 3-33

Benjamin R. Shear and Sean F. Reardon

A Bayesian Item Response Model for Examining Item Position Effects in Complex Survey Data pp. 34-57

Matthias Trendtel and Alexander Robitzsch

Learning Attribute Hierarchies From Data: Two Exploratory Approaches pp. 58-84

Chun Wang and Jing Lu

Sensitivity Analysis for Pretreatment Confounding With Multiple Mediators pp. 85-108

Soojin Park and Kevin M. Esterling

Design-Based Covariate Adjustments in Paired Experiments pp. 109-132

Edward Wu and Johann A. Gagnon-Bartsch