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 2020-04-01 to 2024-04-01.)
ArticleCitations
Mean Comparisons of Many Groups in the Presence of DIF: An Evaluation of Linking and Concurrent Scaling Approaches17
Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations17
Using Sequence Mining Techniques for Understanding Incorrect Behavioral Patterns on Interactive Tasks15
On the Treatment of Missing Data in Background Questionnaires in Educational Large-Scale Assessments: An Evaluation of Different Procedures14
Learning Attribute Hierarchies From Data: Two Exploratory Approaches13
Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation11
Design Considerations in Multisite Randomized Trials Probing Moderated Treatment Effects9
Sensitivity Analysis for Pretreatment Confounding With Multiple Mediators8
Insights on Variance Estimation for Blocked and Matched Pairs Designs8
Block What You Can, Except When You Shouldn’t7
Item Characteristic Curve Asymmetry: A Better Way to Accommodate Slips and Guesses Than a Four-Parameter Model?6
Hybridizing Machine Learning Methods and Finite Mixture Models for Estimating Heterogeneous Treatment Effects in Latent Classes6
Confidence Intervals for Ratios of Means and Medians6
Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces6
Testing Differential Item Functioning Without Predefined Anchor Items Using Robust Regression6
Reporting Proficiency Levels for Examinees With Incomplete Data6
Cognitive Diagnosis Modeling Incorporating Response Times and Fixation Counts: Providing Comprehensive Feedback and Accurate Diagnosis6
Detecting Compromised Items Using Information From Secure Items5
Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes5
Cross-Classified Random Effects Modeling for Moderated Item Calibration5
A Bayesian Item Response Model for Examining Item Position Effects in Complex Survey Data5
Testing Latent Variable Distribution Fit in IRT Using Posterior Residuals4
Commentary on “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale”4
Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing4
Aggregate-Level Test-Scale Linking: A New Solution for an Old Problem?4
Deep Reinforcement Learning for Adaptive Learning Systems4
Commentary on “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale”4
Comparison of Within- and Between-Series Effect Estimates in the Meta-Analysis of Multiple Baseline Studies4
Zero and One Inflated Item Response Theory Models for Bounded Continuous Data4
Monitoring Item Performance With CUSUM Statistics in Continuous Testing4
A Class of Cognitive Diagnosis Models for Polytomous Data4
Commentary on Reardon, Kalogrides, and Ho’s “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale”4
Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions3
A Practical Guide for Analyzing Large-Scale Assessment Data Using Mplus: A Case Demonstration Using the Program for International Assessment of Adult Competencies Data3
Detecting Noneffortful Responses Based on a Residual Method Using an Iterative Purification Process3
Item Pool Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection3
The Use of the Posterior Probability in Score Differencing3
The Restricted DINA Model: A Comprehensive Cognitive Diagnostic Model for Classroom-Level Assessments3
Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model3
Estimating Difference-Score Reliability in Pretest–Posttest Settings3
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings3
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