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 2021-05-01 to 2025-05-01.)
ArticleCitations
Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches31
Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times27
Acknowledgments22
Comparison of Within- and Between-Series Effect Estimates in the Meta-Analysis of Multiple Baseline Studies16
Chance-Constrained Automated Test Assembly14
Using MLP-F in Three Different Aberrant Behaviors in Education14
Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model12
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development12
Measurement and Uncertainty Preserving Parametric Modeling for Continuous Latent Variables With Discrete Indicators and External Variables12
Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing12
Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations10
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles9
A General Mixture Model for Cognitive Diagnosis8
Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics8
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings8
Identifying Informative Predictor Variables With Random Forests8
Commentary on “Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces”7
A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement7
Using Extant Data to Improve Estimation of the Standardized Mean Difference7
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach7
Power Analyses for Estimation of Complier Average Causal Effects Under Random Encouragement Designs in Education Research: Theory and Guidance7
A Two-Stage Regression Approach to Detecting Section Score Inconsistency6
Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design6
Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming6
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge6
AI and Psychometrics: Epistemology, Process, and Politics6
IRT Models for Learning With Item-Specific Learning Parameters5
A Two-Level Adaptive Test Battery5
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis5
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables5
A Simple Technique Assessing Ordinal and Disordinal Interaction Effects4
New Iterative Algorithms for Estimation of Item Functioning4
A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams4
Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial3
Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions3
Using Permutation Tests to Identify Statistically Sound and Nonredundant Sequential Patterns in Educational Event Sequences3
Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction3
Using Regularized Methods to Validate Q-Matrix in Cognitive Diagnostic Assessment3
Harnessing AI for Educational Measurement: Standards and Emerging Frontiers3
Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces3
Using Sequence Mining Techniques for Understanding Incorrect Behavioral Patterns on Interactive Tasks3
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