OOIR: Observatory of International Research

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 2020-11-01 to 2024-11-01.)

Article	Citations
Using Sequence Mining Techniques for Understanding Incorrect Behavioral Patterns on Interactive Tasks	23
Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations	20
Mean Comparisons of Many Groups in the Presence of DIF: An Evaluation of Linking and Concurrent Scaling Approaches	15
Deep Reinforcement Learning for Adaptive Learning Systems	13
Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions	11
Block What You Can, Except When You Shouldn’t	10
Item Characteristic Curve Asymmetry: A Better Way to Accommodate Slips and Guesses Than a Four-Parameter Model?	9
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings	9
Testing Differential Item Functioning Without Predefined Anchor Items Using Robust Regression	9
Cognitive Diagnosis Modeling Incorporating Response Times and Fixation Counts: Providing Comprehensive Feedback and Accurate Diagnosis	8
Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces	8
Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes	8
Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Estimators With Variation in Treatment Timing	7
A New Multiprocess IRT Model With Ideal Points for Likert-Type Items	7
Monitoring Item Performance With CUSUM Statistics in Continuous Testing	6
Detecting Noneffortful Responses Based on a Residual Method Using an Iterative Purification Process	6
Zero and One Inflated Item Response Theory Models for Bounded Continuous Data	6
Cross-Classified Item Response Theory Modeling With an Application to Student Evaluation of Teaching	6
Cross-Classified Random Effects Modeling for Moderated Item Calibration	6
The Restricted DINA Model: A Comprehensive Cognitive Diagnostic Model for Classroom-Level Assessments	6
Reporting Proficiency Levels for Examinees With Incomplete Data	6
A Practical Guide for Analyzing Large-Scale Assessment Data Using Mplus: A Case Demonstration Using the Program for International Assessment of Adult Competencies Data	6
Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models	5
Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis	5
Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model	5

Identifying Informative Predictor Variables With Random Forests	4
Comparison of Within- and Between-Series Effect Estimates in the Meta-Analysis of Multiple Baseline Studies	4
Regression Discontinuity Designs With an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English-Language Learners	4
Latent Transition Cognitive Diagnosis Model With Covariates: A Three-Step Approach	4
Forced-Choice Ranking Models for Raters’ Ranking Data	4
Jenss–Bayley Latent Change Score Model With Individual Ratio of the Growth Acceleration in the Framework of Individual Measurement Occasions	3
A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys	3
Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach	3
Estimating Difference-Score Reliability in Pretest–Posttest Settings	3
Diagnosing Primary Students’ Reading Progression: Is Cognitive Diagnostic Computerized Adaptive Testing the Way Forward?	3
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles	3
Item Pool Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection	3
A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning	3
Using Item Scores and Distractors to Detect Item Compromise and Preknowledge	2
A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies	2
Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction	2
Bayesian Estimation of Attribute Hierarchy for Cognitive Diagnosis Models	2
Latent Trait Item Response Models for Continuous Responses	2
A Rating Scale Mixture Model to Account for the Tendency to Middle and Extreme Categories	2
Statistical Inference for G-indices of Agreement	2
Detecting Item Preknowledge Using Revisits With Speed and Accuracy	2
A Collection of Numerical Recipes Useful for Building Scalable Psychometric Applications	2
Handling Missing Data in Growth Mixture Models	2
Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity	2
Evaluating Psychometric Differences Between Fast Versus Slow Responses on Rating Scale Items	2
Equivalencies Between Ad Hoc Strategies and Multivariate Models for Meta-Analysis of Dependent Effect Sizes	2
The Rank-2PL IRT Models for Forced-Choice Questionnaires: Maximum Marginal Likelihood Estimation with an EM Algorithm	1
Artificial Intelligence and Educational Measurement: Opportunities and Threats	1
A General Mixture Model for Cognitive Diagnosis	1
Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index	1
Breaking Our Silence on Factor Score Indeterminacy	1
On the Generalized S−X2–Test of Item Fit: Some Variants, Residuals, and a Graphical Visualization	1
Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables	1
An Explicit Form With Continuous Attribute Profile of the Partial Mastery DINA Model	1
Pooling Interactions Into Error Terms in Multisite Experiments	1
Bayesian Exploratory Factor Analysis via Gibbs Sampling	1
Adaptive Weight Estimation of Latent Ability: Application to Computerized Adaptive Testing With Response Revision	1
A Diagnostic Tree Model for Adaptive Assessment of Complex Cognitive Processes Using Multidimensional Response Options	1
A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams	1
A Critical View on the NEAT Equating Design: Statistical Modeling and Identifiability Problems	1
IRT Models for Learning With Item-Specific Learning Parameters	1
Clinical (In)Efficiency in the Prediction of Dangerous Behavior	1
Bayesian Analysis Methods for Two-Level Diagnosis Classification Models	1
A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement	1
Introduction to JEBS Special Issue on NAEP Linked Aggregate Scores	1
A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development	1
Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation	1
Two Statistical Tests for the Detection of Item Compromise	1
Using Regularization to Identify Measurement Bias Across Multiple Background Characteristics: A Penalized Expectation–Maximization Algorithm	1
Alternatives to Weighted Item Fit Statistics for Establishing Measurement Invariance in Many Groups	1