Journal of Educational and Behavioral Statistics

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 2021-09-01 to 2025-09-01.)
ArticleCitations
Acknowledgments31
Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times19
Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches17
Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing17
Using MLP-F in Three Different Aberrant Behaviors in Education15
Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables15
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development13
Chance-Constrained Automated Test Assembly11
Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model10
A General Mixture Model for Cognitive Diagnosis10
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings9
Using Extant Data to Improve Estimation of the Standardized Mean Difference9
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles9
Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics8
A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement8
Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming8
Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces”8
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach7
Identifying Informative Predictor Variables With Random Forests7
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge7
Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance7
Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design7
A Two-Stage Regression Approach to Detecting Section Score Inconsistency6
IRT Models for Learning With Item-Specific Learning Parameters6
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables5
A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams5
AI and Psychometrics: Epistemology, Process, and Politics5
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis5
A Two-Level Adaptive Test Battery4
A Simple Technique Assessing Ordinal and Disordinal Interaction Effects4
Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction4
Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions4
Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial4
Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces4
Harnessing AI for Educational Measurement: Standards and Emerging Frontiers4
Reporting Proficiency Levels for Examinees With Incomplete Data3
Using the Bayesian Network’s Structural Learning Algorithm to Estimate the Q-Matrix in Cognitive Diagnosis Models3
Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences3
Inferring Individual Attributes Using Testlet-Based Visual Analogue Scaling and Beta Copula Diagnostic Classification Models3
Finding the Right Grain-Size for Measurement in the Classroom3
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies3
New Iterative Algorithms for Estimation of Item Functioning3
Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models3
Smoothing of Bivariate Test Score Distributions: Model Selection Targeting Test Score Equating3
How Do We Demonstrate AI Responsibility: The Devil Is in the Details3
Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment3
0.025326013565063