Journal of Educational and Behavioral Statistics
1976 - 2026
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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
Volume 42, issue 6, 2017
- A Cognitive Diagnosis Model for Continuous Response pp. 651-677

- Nathan D. Minchen, Jimmy de la Torre and Ying Liu
- Absolute and Relative Measures of Instructional Sensitivity pp. 678-705

- Alexander Naumann, Johannes Hartig and Jan Hochweber
- The Prevalence and Implications of Slipping on Low-Stakes, Large-Scale Assessments pp. 706-725

- Steven Andrew Culpepper
- Principal Score Methods: Assumptions, Extensions, and Practical Considerations pp. 726-758

- Avi Feller, Fabrizia Mealli and Luke Miratrix
- Acknowledgments pp. 759-761

- N/a
Volume 42, issue 5, 2017
- Statistical Power for Causally Defined Indirect Effects in Group-Randomized Trials With Individual-Level Mediators pp. 499-530

- Benjamin Kelcey, Nianbo Dong, Jessaca Spybrook and Kyle Cox
- Item Response Modeling of Multivariate Count Data With Zero Inflation, Maximum Inflation, and Heaping pp. 531-558

- Brooke E. Magnus and David Thissen
- A Comparative Study of Online Item Calibration Methods in Multidimensional Computerized Adaptive Testing pp. 559-590

- Ping Chen
- Bayesian Estimation of Multivariate Latent Regression Models: Gauss Versus Laplace pp. 591-616

- Steven Andrew Culpepper and Trevor Park
- Reporting Subscores Using R: A Software Review pp. 617-638

- Shenghai Dai, Dubravka Svetina and Xiaolin Wang
- A Review of Social Network Analysis and Education: Theory, Methods, and Applications pp. 639-646

- Megan Hopkins
Volume 42, issue 4, 2017
- Multiple Imputation Under Violated Distributional Assumptions: A Systematic Evaluation of the Assumed Robustness of Predictive Mean Matching pp. 371-404

- Kristian Kleinke
- Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item Level pp. 405-431

- Victoria Savalei and Mijke Rhemtulla
- A Comparison of Joint Model and Fully Conditional Specification Imputation for Multilevel Missing Data pp. 432-466

- Stephen A. Mistler and Craig K. Enders
- Modeling Answer Change Behavior: An Application of a Generalized Item Response Tree Model pp. 467-490

- Minjeong Jeon, Paul De Boeck and Wim van der Linden
- A Review of Explanation in Causal Inference: Methods for Mediation and Interaction pp. 491-495

- Guanglei Hong
Volume 42, issue 3, 2017
- The Cut-Score Operating Function: A New Tool to Aid in Standard Setting pp. 251-263

- Irina Grabovsky and Howard Wainer
- A Guide for Setting the Cut-Scores to Minimize Weighted Classification Errors in Test Batteries pp. 264-281

- Irina Grabovsky and Howard Wainer
- A Strategy for Replacing Sum Scoring pp. 282-307

- James O. Ramsay and Marie Wiberg
- A Weighting Method for Assessing Between-Site Heterogeneity in Causal Mediation Mechanism pp. 308-340

- Xu Qin and Guanglei Hong
- The Analysis of the Regression-Discontinuity Design in R pp. 341-360

- Felix Thoemmes, Wang Liao and Ze Jin
- A Review of Linear Models in Matrix Form: A Hands-On Approach for the Behavioral Sciences pp. 361-363

- Hao Wu
- A Review of Longitudinal Analysis: Modeling Within-Person Fluctuation and Change pp. 364-368

- Chun Wang
Volume 42, issue 2, 2017
- Latent Factors in Student–Teacher Interaction Factor Analysis pp. 115-144

- Thu Le, Daniel Bolt, Eric Camburn, Peter Goff and Karl Rohe
- Optimal Sample Size Determinations for the Heteroscedastic Two One-Sided Tests of Mean Equivalence pp. 145-165

- Show-Li Jan and Gwowen Shieh
- Coherent Power Analysis in Multilevel Studies Using Parameters From Surveys pp. 166-194

- Christopher Rhoads
- A Review of PROC IRT in SAS pp. 195-205

- Jinnie Choi
- A Review of Meta-Analysis Packages in R pp. 206-242

- Joshua R. Polanin, Emily A. Hennessy and Emily E. Tanner-Smith
- A Review of Analyzing Spatial Models of Choice and Judgment With R pp. 243-247

- Justin L. Kern and Steven Andrew Culpepper
Volume 42, issue 1, 2017
- Using Heteroskedastic Ordered Probit Models to Recover Moments of Continuous Test Score Distributions From Coarsened Data pp. 3-45

- Sean F. Reardon, Benjamin R. Shear, Katherine E. Castellano and Andrew D. Ho
- Detection of Item Preknowledge Using Likelihood Ratio Test and Score Test pp. 46-68

- Sandip Sinharay
- Review pp. 69-84

- Adam C. Sales
- Tools for Educational Data Mining pp. 85-106

- Stefan Slater, Srećko Joksimović, Vitomir Kovanovic, Ryan S. Baker and Dragan Gasevic
- A Review of Statistical Rethinking: A Bayesian Course With Examples in R and Stan pp. 107-110

- Tracy M. Sweet
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