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 2021-06-01 to 2025-06-01.)

Article	Citations
Acknowledgments	33
Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches	25
Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times	16
Comparison of Within- and Between-Series Effect Estimates in the Meta-Analysis of Multiple Baseline Studies	15
Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing	14
Using MLP-F in Three Different Aberrant Behaviors in Education	14
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development	13
Chance-Constrained Automated Test Assembly	12
Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model	12
Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables	10
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings	9
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles	9
Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations	9
A General Mixture Model for Cognitive Diagnosis	9
Using Extant Data to Improve Estimation of the Standardized Mean Difference	8
A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement	8
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach	7
Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance	7
Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming	7
Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces”	7
Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics	7
IRT Models for Learning With Item-Specific Learning Parameters	6
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge	6
Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design	6
Identifying Informative Predictor Variables With Random Forests	6

A Two-Stage Regression Approach to Detecting Section Score Inconsistency	6
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis	5
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables	5
AI and Psychometrics: Epistemology, Process, and Politics	5
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
A Two-Level Adaptive Test Battery	4
New Iterative Algorithms for Estimation of Item Functioning	4
A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams	4
Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces	3
Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences	3
Smoothing of Bivariate Test Score Distributions: Model Selection Targeting Test Score Equating	3
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies	3
Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction	3
Inferring Individual Attributes Using Testlet-Based Visual Analogue Scaling and Beta Copula Diagnostic Classification Models	3
Reporting Proficiency Levels for Examinees With Incomplete Data	3
Harnessing AI for Educational Measurement: Standards and Emerging Frontiers	3
Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial	3
Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment	3
Finding the Right Grain-Size for Measurement in the Classroom	3