Journal of Educational and Behavioral Statistics

1976 - 2025

Bibliographic data for series maintained by SAGE Publications ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 44, issue 6, 2019

Introduction to the Special Issue on Research and Development on Large-Scale Educational Assessment Programs pp. 647-647

Li Cai

Research on Psychometric Modeling, Analysis, and Reporting of the National Assessment of Educational Progress pp. 648-670

Andreas Oranje and Andrew Kolstad

Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities pp. 671-705

Matthias von Davier, Lale Khorramdel, Qiwei He, Hyo Jeong Shin and Haiwen Chen

Process Data in NAEP: Past, Present, and Future pp. 706-732

Yoav Bergner and Alina A. von Davier

Toward Education Quality Improvement in China: A Brief Overview of the National Assessment of Education Quality pp. 733-751

Yu Jiang, Jiahui Zhang and Tao Xin

TIMSS 2015: Illustrating Advancements in Large-Scale International Assessments pp. 752-781

Michael O. Martin and Ina V.S. Mullis

Acknowledgments pp. 782-784

N/a

Volume 44, issue 5, 2019

School Differences in Social–Emotional Learning Gains: Findings From the First Large-Scale Panel Survey of Students pp. 507-542

Susanna Loeb, Michael S. Christian, Heather Hough, Robert H. Meyer, Andrew B. Rice and Martin R. West

More Than One Replication Study Is Needed for Unambiguous Tests of Replication pp. 543-570

Larry V. Hedges and Jacob M. Schauer

Writing Process Differences in Subgroups Reflected in Keystroke Logs pp. 571-596

Hongwen Guo, Mo Zhang, Paul Deane and Randy E. Bennett

Latent Variable Regression Four-Level Hierarchical Model Using Multisite Multiple-Cohort Longitudinal Data pp. 597-624

Kilchan Choi and Jinok Kim

Flexible, Free Software for Multilevel Multiple Imputation: A Review of Blimp and jomo pp. 625-641

Timothy Hayes

Volume 44, issue 4, 2019

The Causal Structure of Suppressor Variables pp. 367-389

Yongnam Kim

Kernel Equating Using Propensity Scores for Nonequivalent Groups pp. 390-414

Gabriel Wallin and Marie Wiberg

Lord’s Equity Theorem Revisited pp. 415-430

Wim J. van der Linden

Estimation of Expected Fisher Information for IRT Models pp. 431-447

Scott Monroe

Correcting Fixed Effect Standard Errors When a Crossed Random Effect Was Ignored for Balanced and Unbalanced Designs pp. 448-472

Mark H. C. Lai

Using JAGS for Bayesian Cognitive Diagnosis Modeling: A Tutorial pp. 473-503

Peida Zhan, Hong Jiao, Kaiwen Man and Lijun Wang

Volume 44, issue 3, 2019

A Longitudinal Higher-Order Diagnostic Classification Model pp. 251-281

Peida Zhan, Hong Jiao, Dandan Liao and Feiming Li

Estimating the Entropy Rate of Finite Markov Chains With Application to Behavior Studies pp. 282-308

Brian G. Vegetabile, Stephanie A. Stout-Oswald, Elysia Poggi Davis, Tallie Z. Baram and Hal S. Stern

Detection and Treatment of Careless Responses to Improve Item Parameter Estimation pp. 309-341

Jeffrey M. Patton, Ying Cheng, Maxwell Hong and Qi Diao

A Review of Sociocognitive Foundations of Educational Measurement pp. 342-347

Chanjin Zheng and Sandip Sinharay

Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language pp. 348-361

Jiangang Hao and Tin Kam Ho

Volume 44, issue 2, 2019

A Note on the Solution Multiplicity of the Vale–Maurelli Intermediate Correlation Equation pp. 127-143

Oscar L. Olvera Astivia and Bruno D. Zumbo

Accounting for Student Disadvantage in Value-Added Models pp. 144-179

Eric Parsons, Cory Koedel and Li Tan

Estimating Linking Functions for Response Model Parameters pp. 180-209

Michelle D. Barrett and Wim J. van der Linden

Modeling Social Networks as Mediators: A Mixed Membership Stochastic Blockmodel for Mediation pp. 210-240

Tracy M. Sweet

A Review of Multilevel Modeling Using Mplus pp. 241-247

Monica Morell and Ji Seung Yang

Volume 44, issue 1, 2019

Development and Application of an Exploratory Reduced Reparameterized Unified Model pp. 3-24

Steven Andrew Culpepper and Yinghan Chen

Added Value of Subscores and Hypothesis Testing pp. 25-44

Sandip Sinharay

Category-Level Model Selection for the Sequential G-DINA Model pp. 45-77

Wenchao Ma and Jimmy de la Torre

Predicting Time to Reclassification for English Learners: A Joint Modeling Approach pp. 78-102

Tyler H. Matta and James Soland

Multilevel Modeling With Stat-JR SAAs: A Software Review pp. 103-121

Minjung Kim and Hsien-Yuan Hsu

Volume 43, issue 6, 2018

Estimating Diffusion-Based Item Response Theory Models: Exploring the Robustness of Three Old and Two New Estimators pp. 635-662

Jochen Ranger and Jörg-Tobias Kuhn

Flexible Bayesian Models for Inferences From Coarsened, Group-Level Achievement Data pp. 663-692

J. R. Lockwood, Katherine E. Castellano and Benjamin R. Shear

Meta-Analytical SEM: Equivalence Between Maximum Likelihood and Generalized Least Squares pp. 693-720

Ke-Hai Yuan and Yutaka Kano

An Information Matrix Test for the Collapsing of Categories Under the Partial Credit Model pp. 721-750

Daphna Harel and Russell J. Steele

Acknowledgments pp. 751-753

N/a

Volume 43, issue 5, 2018

Bayesian Multilevel Latent Class Models for the Multiple Imputation of Nested Categorical Data pp. 511-539

Davide Vidotto, Jeroen K. Vermunt and Katrijn van Deun

Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds pp. 540-567

Jiannan Lu, Peng Ding and Tirthankar Dasgupta

Design-Based Estimators for Average Treatment Effects for Multi-Armed RCTs pp. 568-593

Peter Z. Schochet

Does the Package Matter? A Comparison of Five Common Multilevel Modeling Software Packages pp. 594-627

D. Betsy McCoach, Graham G. Rifenbark, Sarah D. Newton, Xiaoran Li, Janice Kooken, Dani Yomtov, Anthony J. Gambino and Aarti Bellara

Review of Bayesian Methods for Repeated Measures pp. 628-630

Edgar C. Merkle

Volume 43, issue 4, 2018

Likelihood Estimation of the Multivariate Social Relations Model pp. 387-406

Steffen Nestler

Statistical Equivalence Testing Approaches for Mantel–Haenszel DIF Analysis pp. 407-439

Jodi M. Casabianca and Charles Lewis

Avoiding Bias When Estimating the Consistency and Stability of Value-Added School Effects pp. 440-468

George Leckie

Detecting Aberrant Behavior and Item Preknowledge: A Comparison of Mixture Modeling Method and Residual Method pp. 469-501

Chun Wang, Gongjun Xu, Zhuoran Shang and Nathan Kuncel

A Review of Bayesian Psychometric Modeling pp. 502-505

Zhiyong Zhang

Volume 43, issue 3, 2018

Interval Estimation of Latent Variable Scores in Item Response Theory pp. 259-285

Yang Liu and Ji Seung Yang

Detecting Fraudulent Erasures at an Aggregate Level pp. 286-315

Sandip Sinharay

Multiple Imputation of Missing Data at Level 2: A Comparison of Fully Conditional and Joint Modeling in Multilevel Designs pp. 316-353

Simon Grund, Oliver Lüdtke and Alexander Robitzsch

Scaled Inverse Probability Weighting: A Method to Assess Potential Bias Due to Event Nonreporting in Ecological Momentary Assessment Studies pp. 354-381

Stephanie A. Kovalchik, Steven C. Martino, Rebecca L. Collins, William G. Shadel, Elizabeth J. D’Amico and Kirsten Becker

Volume 43, issue 2, 2018

Optimizing the Use of Response Times for Item Selection in Computerized Adaptive Testing pp. 135-158

Edison M. Choe, Justin L. Kern and Hua-Hua Chang

The Design of Cluster Randomized Trials With Random Cross-Classifications pp. 159-181

Mirjam Moerbeek and Maryam Safarkhani

Applications of Small Area Estimation to Generalization With Subclassification by Propensity Scores pp. 182-224

Wendy Chan

Social Network Analysis in R: A Software Review pp. 225-253

Samrachana Adhikari and Beau Dabbs

Volume 43, issue 1, 2018

Rebar: Reinforcing a Matching Estimator With Predictions From High-Dimensional Covariates pp. 3-31

Adam C. Sales, Ben B. Hansen and Brian Rowan

Weighting-Based Sensitivity Analysis in Causal Mediation Studies pp. 32-56

Guanglei Hong, Xu Qin and Fan Yang

Tracking Skill Acquisition With Cognitive Diagnosis Models: A Higher-Order, Hidden Markov Model With Covariates pp. 57-87

Shiyu Wang, Yan Yang, Steven Andrew Culpepper and Jeffrey A. Douglas

On the Estimation of Standard Errors in Cognitive Diagnosis Models pp. 88-115

Michel Philipp, Carolin Strobl, Jimmy de la Torre and Achim Zeileis

Item Response Data Analysis Using Stata Item Response Theory Package pp. 116-129

Ji Seung Yang and Xiaying Zheng