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 2022-01-01 to 2026-01-01.)

Article	Citations
Acknowledgments	42
Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times	25
Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches	22
It’s Up for Debate: A Review of Seminal Ideas and Controversies in Statistics by Roderick J. A. Little LittleR. J. A.Seminal Ideas and Controversies in S	21
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development	17
Using MLP-F in Three Different Aberrant Behaviors in Education	17
Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables	15
Chance-Constrained Automated Test Assembly	14
Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model	11
Multiple Imputation to Estimate Hierarchical Models From Data Missing at Random: Latent Covariates, Random Coefficients, and Statistical Interactions	10
Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing	10
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles	9
A General Mixture Model for Cognitive Diagnosis	9
Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance	8
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings	8
Using Extant Data to Improve Estimation of the Standardized Mean Difference	8
Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics	7
Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces”	7
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach	7
Using Robust Estimation Method to Improve Person Traits Assessment	7
Identifying Informative Predictor Variables With Random Forests	6
Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming	6
A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement	6
A Two-Stage Regression Approach to Detecting Section Score Inconsistency	5
AI and Psychometrics: Epistemology, Process, and Politics	5

Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis	5
IRT Models for Learning With Item-Specific Learning Parameters	5
Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design	5
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge	5
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables	5
Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment	4
Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences	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
New Iterative Algorithms for Estimation of Item Functioning	4
Harnessing AI for Educational Measurement: Standards and Emerging Frontiers	4
A Two-Level Adaptive Test Battery	4
Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction	4
Inferring Individual Attributes Using Testlet-Based Visual Analogue Scaling and Beta Copula Diagnostic Classification Models	4
A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams	4
Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial	4
An Improved Satterthwaite (1941, 1946) Effective df Approximation	3
Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models	3
Finding the Right Grain-Size for Measurement in the Classroom	3
Predictive Performance of Bayesian Stacking in Multilevel Education Data	3
A Hybrid EM Algorithm for Linear Two-Way Interactions With Missing Data	3
Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models	3
Maximum Information per Time Unit Designs for Calibrating Multidimensional Items Online	3
Smoothing of Bivariate Test Score Distributions: Model Selection Targeting Test Score Equating	3
How Do We Demonstrate AI Responsibility: The Devil Is in the Details	3
Two Statistical Tests for the Detection of Item Compromise	3
Three-Part Random Effect Models for Longitudinal Skewed Survey Data With “Not Applicable” Responses	3
Deep Reinforcement Learning for Adaptive Learning Systems	3
Using the Bayesian Network’s Structural Learning Algorithm to Estimate the Q-Matrix in Cognitive Diagnosis Models	3
A Bayesian Framework to Establish Validity Evidence for Multi-Unidimensional Instruments With Small Samples	3
A Generalized Forced-Choice Diagnostic Classification Model Based on Thurstone’s Law of Comparative Judgment in Noncognitive Test: Theory and Application	3
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies	3
Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index	3
A Two-Parameter IRT Model With Ability-Based Guessing: Estimation Using the Stochastic EM Algorithm	3