Journal of Educational and Behavioral Statistics

1976 - 2025

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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

Volume 45, issue 6, 2020

A Bayesian Nonparametric Latent Approach for Score Distributions in Test Equating pp. 639-666

Inés M. Varas, Jorge González and Fernando A. Quintana

Detecting Compromised Items Using Information From Secure Items pp. 667-689

Xi Wang and Yang Liu

Power Analysis for Two-Level Multisite Randomized Cost-Effectiveness Trials pp. 690-718

Wei Li, Nianbo Dong and Rebecca A. Maynard

Identifying and Classifying Aberrant Response Patterns Through Functional Data Analysis pp. 719-749

Eduardo Doval and Pedro Delicado

Confidence Intervals for Ratios of Means and Medians pp. 750-770

Douglas G. Bonett and Robert M. Price

Acknowledgments pp. 771-773

N/a

Volume 45, issue 5, 2020

Conditional Subscore Reporting Using Iterated Discrete Convolutions pp. 515-533

Richard A. Feinberg and Matthias von Davier

Assessing Fit of the Lognormal Model for Response Times pp. 534-568

Sandip Sinharay and Peter W. van Rijn

Variational Bayes Inference for the DINA Model pp. 569-597

Kazuhiro Yamaguchi and Kensuke Okada

Propensity Score Analysis With Latent Covariates: Measurement Error Bias Correction Using the Covariate’s Posterior Mean, aka the Inclusive Factor Score pp. 598-636

Trang Quynh Nguyen and Elizabeth A. Stuart

Volume 45, issue 4, 2020

IRT and MIRT Models for Item Parameter Estimation With Multidimensional Multistage Tests pp. 383-402

Paul A. Jewsbury and Peter W. van Rijn

A Robust Test for Checking the Homogeneity of Variability Measures and Its Application to the Analysis of Implicit Attitudes pp. 403-425

Ryan C. Erps and Kimihiro Noguchi

Causal Inference With Two Versions of Treatment pp. 426-445

Raiden B. Hasegawa, Sameer K. Deshpande, Dylan S. Small and Paul R. Rosenbaum

Optimal Sample Allocation Under Unequal Costs in Cluster-Randomized Trials pp. 446-474

Zuchao Shen and Benjamin Kelcey

Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions pp. 475-506

Soojin Park and Gregory J. Palardy

Review of Handbook of Item Response Theory, Volume II: Statistical Tools pp. 507-511

Dylan Molenaar

Volume 45, issue 3, 2020

A Bias-Corrected RMSD Item Fit Statistic: An Evaluation and Comparison to Alternatives pp. 251-273

Carmen Köhler, Alexander Robitzsch and Johannes Hartig

Bayesian Nonparametric Monotone Regression of Dynamic Latent Traits in Item Response Theory Models pp. 274-296

Yang Liu and Xiaojing Wang

Full Information Optimal Scoring pp. 297-315

James Ramsay, Marie Wiberg and Juan Li

Adaptive Pairwise Comparison for Educational Measurement pp. 316-338

Elise A. V. Crompvoets, Anton A. Béguin and Klaas Sijtsma

On Longitudinal Item Response Theory Models: A Didactic pp. 339-368

Chun Wang and Steven W. Nydick

A Review of Nonparametric Models for Longitudinal Data pp. 369-373

Sy-Miin Chow and Meng Chen

A Review of Causality in a Social World: Moderation, Mediation, and Spill-Over pp. 374-378

Nianbo Dong and Benjamin M. Kelcey

Volume 45, issue 2, 2020

Variable Selection for Causal Effect Estimation: Nonparametric Conditional Independence Testing With Random Forests pp. 119-142

Bryan Keller

Limitless Regression Discontinuity pp. 143-174

Adam C. Sales and Ben B. Hansen

Online Calibration of a Joint Model of Item Responses and Response Times in Computerized Adaptive Testing pp. 175-208

Hyeon-Ah Kang, Yi Zheng and Hua-Hua Chang

Scoring Tests With Contaminated Response Vectors pp. 209-226

Arnond Sakworawich and Howard Wainer

Deep Learning With TensorFlow: A Review pp. 227-248

Bo Pang, Erik Nijkamp and Ying Nian Wu

Volume 45, issue 1, 2020

Editorial Statement pp. 3-4

Steven Andrew Culpepper

The Reliability of the Posterior Probability of Skill Attainment in Diagnostic Classification Models pp. 5-31

Matthew S. Johnson and Sandip Sinharay

Analyzing Grouped Administrative Data for RCTs Using Design-Based Methods pp. 32-57

Peter Z. Schochet

A Fast and Simple Algorithm for Bayesian Adaptive Testing pp. 58-85

Wim J. van der Linden and Hao Ren

A Scaled Threshold Model for Measuring Extreme Response Style pp. 86-107

Dirk Lubbe and Christof Schuster

Review of Computerized Adaptive and Multistage Testing With R: Using Packages catR and mstR pp. 108-115

Leslie Rutkowski and Montserrat Valdivia