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 2021-11-01 to 2025-11-01.)

Article	Citations
Acknowledgments	34
Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches	21
Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times	20
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development	20
Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables	15
Using MLP-F in Three Different Aberrant Behaviors in Education	15
Chance-Constrained Automated Test Assembly	15
Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model	13
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings	11
Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing	11
A General Mixture Model for Cognitive Diagnosis	10
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles	10
Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces”	9
Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance	9
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	8
Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming	8
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach	8
Identifying Informative Predictor Variables With Random Forests	7
Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics	7
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge	7
Using Robust Estimation Method to Improve Person Traits Assessment	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
AI and Psychometrics: Epistemology, Process, and Politics	5

A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams	5
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables	5
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis	5
IRT Models for Learning With Item-Specific Learning Parameters	5
Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions	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
A Simple Technique Assessing Ordinal and Disordinal Interaction Effects	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
A Two-Level Adaptive Test Battery	4
Inferring Individual Attributes Using Testlet-Based Visual Analogue Scaling and Beta Copula Diagnostic Classification Models	3
Using the Bayesian Network’s Structural Learning Algorithm to Estimate the Q-Matrix in Cognitive Diagnosis Models	3
An Improved Satterthwaite (1941, 1946) Effective df Approximation	3
Deep Reinforcement Learning for Adaptive Learning Systems	3
Two Statistical Tests for the Detection of Item Compromise	3
Maximum Information per Time Unit Designs for Calibrating Multidimensional Items Online	3
Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences	3
Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment	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
Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index	3
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies	3
Smoothing of Bivariate Test Score Distributions: Model Selection Targeting Test Score Equating	3
Finding the Right Grain-Size for Measurement in the Classroom	3
A Generalized Forced-Choice Diagnostic Classification Model Based on Thurstone’s Law of Comparative Judgment in Noncognitive Test: Theory and Application	3
Predictive Performance of Bayesian Stacking in Multilevel Education Data	3
A Hybrid EM Algorithm for Linear Two-Way Interactions With Missing Data	3
Cognitive Diagnosis Modeling Incorporating Response Times and Fixation Counts: Providing Comprehensive Feedback and Accurate Diagnosis	2
Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items	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
Using Ordering Theory to Learn Attribute Hierarchies From Examinees’ Attribute Profiles	2
Fuzzy Regression Discontinuity Designs With Multiple Control Groups Under One-Sided Noncompliance: Evaluating Extended Time Accommodations	2
Reviewer Acknowledgments	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
What Is Actually Equated in “Test Equating”? A Didactic Note	2
Expertise on Offer: Why Isn’t Anyone Buying?	2
A Diagnostic Tree Model for Adaptive Assessment of Complex Cognitive Processes Using Multidimensional Response Options	2
Detecting Item Preknowledge Using Revisits With Speed and Accuracy	2
Evaluating Intersectional Fairness in Algorithmic Decision Making Using Intersectional Differential Algorithmic Functioning	2
Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models	2
A Two-Parameter IRT Model With Ability-Based Guessing: Estimation Using the Stochastic EM Algorithm	2
Regression Discontinuity Designs With an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English-Language Learners	2
Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model	2
Evaluating Psychometric Differences Between Fast Versus Slow Responses on Rating Scale Items	2
Bayesian Q Matrix Estimation of Saturated Diagnostic Classification Models Using NIMBLE	2
Item Pool Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection	2
Three-Part Random Effect Models for Longitudinal Skewed Survey Data With “Not Applicable” Responses	2

Bayesian Analysis Methods for Two-Level Diagnosis Classification Models	1
Alternatives to Weighted Item Fit Statistics for Establishing Measurement Invariance in Many Groups	1
Acknowledgments	1
Automatic Text Classification With Large Language Models: A Review of `openai` for Zero- and Few-Shot Classification	1
Using Response Times in Answer Similarity Analysis	1
A Critical View on the NEAT Equating Design: Statistical Modeling and Identifiability Problems	1
Variable-Length Cognitive Diagnostic Computerized Adaptive Testing in Small-Scale Assessments	1
Testing Differential Item Functioning Without Predefined Anchor Items Using Robust Regression	1
Generalizing Beyond the Test: Permutation-Based Profile Analysis for Explaining DIF Using Item Features	1
Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity	1
Optimizing Diagnostic Classification Models Application Considering Real-Life Constraints	1
Editorial	1
Diagnosing Primary Students’ Reading Progression: Is Cognitive Diagnostic Computerized Adaptive Testing the Way Forward?	1
Extending the Cluster Approach to Differential Item Functioning in Polytomous Items	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
Model Misspecification and Robustness of Observed-Score Test Equating Using Propensity Scores	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