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 2022-05-01 to 2026-05-01.)

Article	Citations
Acknowledgments	46
Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches	37
Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times	27
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	22
Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables	21
Chance-Constrained Automated Test Assembly	20
Using MLP-F in Three Different Aberrant Behaviors in Education	18
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development	18
Multiple Imputation to Estimate Hierarchical Models From Data Missing at Random: Latent Covariates, Random Coefficients, and Statistical Interactions	15
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles	11
Detecting Guessing Effects for the Nominal Categories Model Using a Conditional Likelihood Ratio Test With Data-Dependent Degrees of Freedom	11
A General Mixture Model for Cognitive Diagnosis	11
Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model	11
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings	9
Assessing Heterogeneous Treatment Effects Using Bayesian (Non)Linear Growth Mixture Mediation Models	9
Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics	8
Using Robust Estimation Method to Improve Person Traits Assessment	8
Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance	8
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”	7
Identifying Informative Predictor Variables With Random Forests	7
A Two-Stage Regression Approach to Detecting Section Score Inconsistency	7
Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design	7
A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement	7
A Restricted Latent Class Hidden Markov Model for Polytomous Responses, Polytomous Attributes, and Covariates: Identifiability and Application	7

An Efficient Variational Bayes Algorithm via Pólya–Gamma Data Augmentation Technique for Estimating the DINA Model	7
Using Extant Data to Improve Estimation of the Standardized Mean Difference	7
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach	7
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge	7
Improving Estimation for Two-Dimensional Regression Discontinuity Designs in Education With Gaussian Process Regression	7
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables	6
Predictive Model Evaluation in Bayesian Mixture and Hierarchical Models for Ordinal Data: A Teaching Evaluation Case Study	6
IRT Models for Learning With Item-Specific Learning Parameters	5
AI and Psychometrics: Epistemology, Process, and Politics	5
Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting	5
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis	5
A Two-Level Adaptive Test Battery	4
Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions	4
Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models	4
Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment	4
A Simple Technique Assessing Ordinal and Disordinal Interaction Effects	4
A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams	4
Harnessing AI for Educational Measurement: Standards and Emerging Frontiers	4
Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial	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
New Iterative Algorithms for Estimation of Item Functioning	4
Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences	4
Maximum Information per Time Unit Designs for Calibrating Multidimensional Items Online	3
Using the Bayesian Network’s Structural Learning Algorithm to Estimate the Q-Matrix in Cognitive Diagnosis Models	3
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies	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
Deep Reinforcement Learning for Adaptive Learning Systems	3
Finding the Right Grain-Size for Measurement in the Classroom	3
How Do We Demonstrate AI Responsibility: The Devil Is in the Details	3
An Improved Satterthwaite (1941, 1946) Effective df Approximation	3
Two Statistical Tests for the Detection of Item Compromise	3
A Hybrid EM Algorithm for Linear Two-Way Interactions With Missing Data	3
A Generalized Forced-Choice Diagnostic Classification Model Based on Thurstone’s Law of Comparative Judgment in Noncognitive Test: Theory and Application	3
A Bayesian Framework to Establish Validity Evidence for Multi-Unidimensional Instruments With Small Samples	3
Smoothing of Bivariate Test Score Distributions: Model Selection Targeting Test Score Equating	3
Beyond Average Scores: Identification of Consistent and Inconsistent Academic Achievement in Grouping Units	3
Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index	3
Fuzzy Regression Discontinuity Designs With Multiple Control Groups Under One-Sided Noncompliance: Evaluating Extended Time Accommodations	3
Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models	2
Evaluating Intersectional Fairness in Algorithmic Decision Making Using Intersectional Differential Algorithmic Functioning	2
Choosing Research Topics Wisely: The Irony of Item Response Theory as an Example	2
Expertise on Offer: Why Isn’t Anyone Buying?	2
Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items	2
Using Ordering Theory to Learn Attribute Hierarchies From Examinees’ Attribute Profiles	2
Three-Part Random Effect Models for Longitudinal Skewed Survey Data With “Not Applicable” Responses	2
Plausible Values and Multilevel Models in Large-Scale Assessments	2
Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design	2
Extending the Cluster Approach to Differential Item Functioning in Polytomous Items	2

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
Reviewer Acknowledgments	2
Bayesian Q Matrix Estimation of Saturated Diagnostic Classification Models Using NIMBLE	2
Cognitive Diagnosis Modeling Incorporating Response Times and Fixation Counts: Providing Comprehensive Feedback and Accurate Diagnosis	2
A Diagnostic Tree Model for Adaptive Assessment of Complex Cognitive Processes Using Multidimensional Response Options	2
Jointly Modeling Omitted and Not-Reached Items in Time-Limit Tests: A Survival Analysis Approach	2
Detecting Item Preknowledge Using Revisits With Speed and Accuracy	2
Acknowledgments	1
Assessing Item Fit Using Expected Score Curve Under Restricted Recalibration	1
Flexible Bayesian Slice-Sampling Algorithms: An Illustration Using the Hierarchical Piecewise Constant Proportional Hazards Latent Trait Model	1
Editorial	1
A Position-Sensitive Mixture Item Response Model	1
Diagnosing Primary Students’ Reading Progression: Is Cognitive Diagnostic Computerized Adaptive Testing the Way Forward?	1
Testing Differential Item Functioning Without Predefined Anchor Items Using Robust Regression	1
Optimizing Diagnostic Classification Models Application Considering Real-Life Constraints	1
Bayesian Analysis Methods for Two-Level Diagnosis Classification Models	1
Alternatives to Weighted Item Fit Statistics for Establishing Measurement Invariance in Many Groups	1
Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity	1
A Sequential Response Model With Growth Parameters for Process Data in Complex Problem Solving	1
Profiles in Research: Lawrence J. Hubert	1
Using Response Times in Answer Similarity Analysis	1
Model Misspecification and Robustness of Observed-Score Test Equating Using Propensity Scores	1
Automatic Text Classification With Large Language Models: A Review of `openai` for Zero- and Few-Shot Classification	1
Generalizing Beyond the Test: Permutation-Based Profile Analysis for Explaining DIF Using Item Features	1
An Empirical Bayesian Approach for Testing the Fairness of Automated Scoring	1
Variable-Length Cognitive Diagnostic Computerized Adaptive Testing in Small-Scale Assessments	1
Exploiting Network Information to Disentangle Spillover Effects in a Field Experiment on Teens’ Museum Attendance	1
Erratum to Identifying Informative Predictor Variables With Random Forests	1
Corrigendum to “Erratum to Using the Bayesian Network’s Structural Learning Algorithmto Estimate the Q-Matrix in CognitiveDiagnosis Models”	1