Journal of Educational and Behavioral Statistics

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 2020-03-01 to 2024-03-01.)
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 Tasks14
On the Treatment of Missing Data in Background Questionnaires in Educational Large-Scale Assessments: An Evaluation of Different Procedures13
Learning Attribute Hierarchies From Data: Two Exploratory Approaches13
Variational Bayes Inference for the DINA Model12
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
Block What You Can, Except When You Shouldn’t7
Insights on Variance Estimation for Blocked and Matched Pairs Designs7
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
Optimal Sample Allocation Under Unequal Costs in Cluster-Randomized Trials5
Detecting Compromised Items Using Information From Secure Items5
A Bayesian Item Response Model for Examining Item Position Effects in Complex Survey Data5
Cross-Classified Random Effects Modeling for Moderated Item Calibration5
Assessing Fit of the Lognormal Model for Response Times5
Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes4
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
Deep Reinforcement Learning for Adaptive Learning Systems4
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
Zero and One Inflated Item Response Theory Models for Bounded Continuous Data4
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
Testing Latent Variable Distribution Fit in IRT Using Posterior Residuals3
Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model3
Estimating Difference-Score Reliability in Pretest–Posttest Settings3
Conditional Subscore Reporting Using Iterated Discrete Convolutions3
Identifying and Classifying Aberrant Response Patterns Through Functional Data Analysis3
Item Pool Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection3
The Use of the Posterior Probability in Score Differencing3
Monitoring Item Performance With CUSUM Statistics in Continuous Testing3
Detecting Noneffortful Responses Based on a Residual Method Using an Iterative Purification Process3
Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions3
The Restricted DINA Model: A Comprehensive Cognitive Diagnostic Model for Classroom-Level Assessments3
Handling Missing Data in Growth Mixture Models2
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies2
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings2
Power Analysis for Two-Level Multisite Randomized Cost-Effectiveness Trials2
A Practical Guide for Analyzing Large-Scale Assessment Data Using Mplus: A Case Demonstration Using the Program for International Assessment of Adult Competencies Data2
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach2
Propensity Score Analysis With Latent Covariates: Measurement Error Bias Correction Using the Covariate’s Posterior Mean, aka the Inclusive Factor Score2
Forced-Choice Ranking Models for Raters’ Ranking Data2
Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions2
Testing the Within-State Distribution in Mixture Models for Responses and Response Times2
Using Pooled Heteroskedastic Ordered Probit Models to Improve Small-Sample Estimates of Latent Test Score Distributions2
Identifying Informative Predictor Variables With Random Forests2
Cross-Classified Item Response Theory Modeling With an Application to Student Evaluation of Teaching2
A New Multiprocess IRT Model With Ideal Points for Likert-Type Items2
Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models2
A Diagnostic Tree Model for Adaptive Assessment of Complex Cognitive Processes Using Multidimensional Response Options1
Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach1
Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction1
Breaking Our Silence on Factor Score Indeterminacy1
A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys1
Causal Inference With Two Versions of Treatment1
A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning1
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge1
A Rating Scale Mixture Model to Account for the Tendency to Middle and Extreme Categories1
Adaptive Weight Estimation of Latent Ability: Application to Computerized Adaptive Testing With Response Revision1
Regression Discontinuity Designs With an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English-Language Learners1
Design-Based Covariate Adjustments in Paired Experiments1
Diagnosing Primary Students’ Reading Progression: Is Cognitive Diagnostic Computerized Adaptive Testing the Way Forward?1
A Critical View on the NEAT Equating Design: Statistical Modeling and Identifiability Problems1
Two Statistical Tests for the Detection of Item Compromise1
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis1
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables1
Pooling Interactions Into Error Terms in Multisite Experiments1
Bayesian Analysis Methods for Two-Level Diagnosis Classification Models1
Statistical Inference for G-indices of Agreement1
Evaluating Psychometric Differences Between Fast Versus Slow Responses on Rating Scale Items1
Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions1
Bayesian Estimation of Attribute Hierarchy for Cognitive Diagnosis Models1
A Collection of Numerical Recipes Useful for Building Scalable Psychometric Applications1
The Bayesian Covariance Structure Model for Testlets1
An Explicit Form With Continuous Attribute Profile of the Partial Mastery DINA Model1
Clinical (In)Efficiency in the Prediction of Dangerous Behavior1
Introduction toJEBSSpecial Issue on NAEP Linked Aggregate Scores1
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