OOIR: Observatory of International Research

Papers

(The median citation count of Journal of Educational and Behavioral Statistics is 1. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Acknowledgments	56
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	43
Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times	31
Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches	21
Multiple Imputation to Estimate Hierarchical Models From Data Missing at Random: Latent Covariates, Random Coefficients, and Statistical Interactions	19
Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model	13
Using MLP-F in Three Different Aberrant Behaviors in Education	12
Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables	11
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development	11
Detecting Guessing Effects for the Nominal Categories Model Using a Conditional Likelihood Ratio Test With Data-Dependent Degrees of Freedom	11
Assessing Heterogeneous Treatment Effects Using Bayesian (Non)Linear Growth Mixture Mediation Models	10
Chance-Constrained Automated Test Assembly	10
IRT Residual-Based Approach to Detecting Item Parameter Drift in CAT	10
A General Mixture Model for Cognitive Diagnosis	10
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles	9
Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming	9
Bayesian Model Assessment Under the Joint IRT and Generalized Odds-Rate Hazards Model for Response and Response Time Data in Computerized Testing	9
Using Extant Data to Improve Estimation of the Standardized Mean Difference	9
Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics	8
A Restricted Latent Class Hidden Markov Model for Polytomous Responses, Polytomous Attributes, and Covariates: Identifiability and Application	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
A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement	7
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach	7
Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces”	7

Identifying Informative Predictor Variables With Random Forests	7
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge	6
An Efficient Variational Bayes Algorithm via Pólya–Gamma Data Augmentation Technique for Estimating the DINA Model	6
Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design	6
A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams	5
Improving Estimation for Two-Dimensional Regression Discontinuity Designs in Education With Gaussian Process Regression	5
AI and Psychometrics: Epistemology, Process, and Politics	5
A Simple Technique Assessing Ordinal and Disordinal Interaction Effects	5
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables	5
Predictive Model Evaluation in Bayesian Mixture and Hierarchical Models for Ordinal Data: A Teaching Evaluation Case Study	5
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis	5
Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting	5
A Two-Stage Regression Approach to Detecting Section Score Inconsistency	5
IRT Models for Learning With Item-Specific Learning Parameters	5
A Two-Level Adaptive Test Battery	5
New Iterative Algorithms for Estimation of Item Functioning	4
Finding the Right Grain-Size for Measurement in the Classroom	4
Smoothing of Bivariate Test Score Distributions: Model Selection Targeting Test Score Equating	4
Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment	4
Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial	4
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies	4
Inferring Individual Attributes Using Testlet-Based Visual Analogue Scaling and Beta Copula Diagnostic Classification Models	4
Harnessing AI for Educational Measurement: Standards and Emerging Frontiers	4
Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences	4
A Bayesian Framework to Establish Validity Evidence for Multi-Unidimensional Instruments With Small Samples	4
How Do We Demonstrate AI Responsibility: The Devil Is in the Details	3
Predictive Performance of Bayesian Stacking in Multilevel Education Data	3
A Two-Parameter IRT Model With Ability-Based Guessing: Estimation Using the Stochastic EM Algorithm	3
Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index	3
Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models	3
A Generalized Forced-Choice Diagnostic Classification Model Based on Thurstone’s Law of Comparative Judgment in Noncognitive Test: Theory and Application	3
Maximum Information per Time Unit Designs for Calibrating Multidimensional Items Online	3
Beyond Average Scores: Identification of Consistent and Inconsistent Academic Achievement in Grouping Units	3
A Hybrid EM Algorithm for Linear Two-Way Interactions With Missing Data	3
Using Ordering Theory to Learn Attribute Hierarchies From Examinees’ Attribute Profiles	3
Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models	3
An Improved Satterthwaite (1941, 1946) Effective df Approximation	3
Deep Reinforcement Learning for Adaptive Learning Systems	3
Fuzzy Regression Discontinuity Designs With Multiple Control Groups Under One-Sided Noncompliance: Evaluating Extended Time Accommodations	3
Three-Part Random Effect Models for Longitudinal Skewed Survey Data With “Not Applicable” Responses	3
Detecting Item Preknowledge Using Revisits With Speed and Accuracy	3
Using the Bayesian Network’s Structural Learning Algorithm to Estimate the Q-Matrix in Cognitive Diagnosis Models	3
Evaluating Psychometric Differences Between Fast Versus Slow Responses on Rating Scale Items	2
Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions	2
A Diagnostic Tree Model for Adaptive Assessment of Complex Cognitive Processes Using Multidimensional Response Options	2
Quantifying Sensitivity to Selection on Unobserved Covariates: Recasting the Coefficient of Proportionality Within a Correlational Framework	2
Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items	2
Jointly Modeling Omitted and Not-Reached Items in Time-Limit Tests: A Survival Analysis Approach	2
Reviewer Acknowledgments	2
Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design	2

Plausible Values and Multilevel Models in Large-Scale Assessments	2
Extending the Cluster Approach to Differential Item Functioning in Polytomous Items	2
Automatic Text Classification With Large Language Models: A Review of `openai` for Zero- and Few-Shot Classification	2
Bayesian Q Matrix Estimation of Saturated Diagnostic Classification Models Using NIMBLE	2
Choosing Research Topics Wisely: The Irony of Item Response Theory as an Example	2
Evaluating Intersectional Fairness in Algorithmic Decision Making Using Intersectional Differential Algorithmic Functioning	2
Expertise on Offer: Why Isn’t Anyone Buying?	2
Assessing Item Fit Using Expected Score Curve Under Restricted Recalibration	2
Acknowledgments	1
Using Response Times in Answer Similarity Analysis	1
A Polytomous Extension of the Higher-Order, Hidden Markov Model With Covariates and Hierarchical Learning Trajectories	1
A Position-Sensitive Mixture Item Response Model	1
Flexible Bayesian Slice-Sampling Algorithms: An Illustration Using the Hierarchical Piecewise Constant Proportional Hazards Latent Trait Model	1
Editorial	1
Alternatives to Weighted Item Fit Statistics for Establishing Measurement Invariance in Many Groups	1
Exploiting Network Information to Disentangle Spillover Effects in a Field Experiment on Teens’ Museum Attendance	1
Valid Standard Errors for Bayesian Quantile Regression With Clustered and Independent Data	1
Introduction to JEBS Special Issue on Diagnostic Statistical Models	1
Improving the Estimation of Site-Specific Effects and Their Distribution in Multisite Trials	1
Profiles in Research: Lawrence J. Hubert	1
Optimizing Diagnostic Classification Models Application Considering Real-Life Constraints	1
An Empirical Bayesian Approach for Testing the Fairness of Automated Scoring	1
Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity	1
Generalizing Beyond the Test: Permutation-Based Profile Analysis for Explaining DIF Using Item Features	1
Corrigendum to “Erratum to Using the Bayesian Network’s Structural Learning Algorithmto Estimate the Q-Matrix in CognitiveDiagnosis Models”	1
Iterative Attribute Hierarchy Exploration Methods for Cognitive Diagnosis Models	1
Erratum to Identifying Informative Predictor Variables With Random Forests	1
Variable-Length Cognitive Diagnostic Computerized Adaptive Testing in Small-Scale Assessments	1
A Sequential Response Model With Growth Parameters for Process Data in Complex Problem Solving	1
Diagnosing Primary Students’ Reading Progression: Is Cognitive Diagnostic Computerized Adaptive Testing the Way Forward?	1
Model Misspecification and Robustness of Observed-Score Test Equating Using Propensity Scores	1
Bayesian Analysis Methods for Two-Level Diagnosis Classification Models	1