Journal of Educational and Behavioral Statistics
1976 - 2026
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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
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
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