OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Educational and Behavioral Statistics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-10-01 to 2025-10-01.)

Article	Citations
Acknowledgments	33
Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times	20
Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing	19
Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches	19
Using MLP-F in Three Different Aberrant Behaviors in Education	15
Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables	15
Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model	13
Chance-Constrained Automated Test Assembly	13
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development	11
A General Mixture Model for Cognitive Diagnosis	10
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles	10
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings	10
Using Extant Data to Improve Estimation of the Standardized Mean Difference	9
A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement	9
Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming	8
Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces”	8
Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics	8
Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance	8
Using Robust Estimation Method to Improve Person Traits Assessment	7
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge	7
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach	7
Identifying Informative Predictor Variables With Random Forests	7
Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design	7
A Two-Stage Regression Approach to Detecting Section Score Inconsistency	6
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables	5

IRT Models for Learning With Item-Specific Learning Parameters	5
AI and Psychometrics: Epistemology, Process, and Politics	5
A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams	5
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis	5
A Two-Level Adaptive Test Battery	4
Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction	4
Harnessing AI for Educational Measurement: Standards and Emerging Frontiers	4
A Simple Technique Assessing Ordinal and Disordinal Interaction Effects	4
Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions	4
Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial	4
Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces	4
New Iterative Algorithms for Estimation of Item Functioning	4
Inferring Individual Attributes Using Testlet-Based Visual Analogue Scaling and Beta Copula Diagnostic Classification Models	3
Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models	3
How Do We Demonstrate AI Responsibility: The Devil Is in the Details	3
A Generalized Forced-Choice Diagnostic Classification Model Based on Thurstone’s Law of Comparative Judgment in Noncognitive Test: Theory and Application	3
Finding the Right Grain-Size for Measurement in the Classroom	3
Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences	3
Reporting Proficiency Levels for Examinees With Incomplete Data	3
An Improved Satterthwaite (1941, 1946) Effective df Approximation	3
Deep Reinforcement Learning for Adaptive Learning Systems	3
Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment	3
Smoothing of Bivariate Test Score Distributions: Model Selection Targeting Test Score Equating	3
Using the Bayesian Network’s Structural Learning Algorithm to Estimate the Q-Matrix in Cognitive Diagnosis Models	3
Maximum Information per Time Unit Designs for Calibrating Multidimensional Items Online	3
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies	3