Educational and Psychological Measurement

Papers
(The TQCC of Educational and Psychological Measurement is 5. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Iterative Item Selection of Neighborhood Clusters: A Nonparametric and Non-IRT Method for Generating Miniature Computer Adaptive Questionnaires315
Collapsing Sparse Responses in Likert-Type Scale Data: Advantages and Disadvantages for Model Fit in CFA41
Assessing the Properties and Functioning of Model-Based Sum Scores in Multidimensional Measures With Local Item Dependencies: A Comprehensive Proposal28
Using Deep Reinforcement Learning to Decide Test Length26
Model Specification Searches in Structural Equation Modeling Using Bee Swarm Optimization19
Functional Approaches for Modeling Unfolding Data17
Using Item Scores and Response Times to Detect Item Compromise in Computerized Adaptive Testing16
Detecting Preknowledge Cheating via Innovative Measures: A Mixture Hierarchical Model for Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts16
Optimal Number of Replications for Obtaining Stable Dynamic Fit Index Cutoffs16
Generalized Mantel–Haenszel Estimators for Simultaneous Differential Item Functioning Tests15
Investigating Confidence Intervals of Item Parameters When Some Item Parameters Take Priors in the 2PL and 3PL Models14
An Illustration of an IRTree Model for Disengagement13
Detecting Differential Item Functioning Using Response Time13
Assessing the Speed–Accuracy Tradeoff in Psychological Testing Using Experimental Manipulations12
An Omega-Hierarchical Extension Index for Second-Order Constructs With Hierarchical Measuring Instruments12
Reconceptualizing Scoring Reliability Through Linguistic Similarity12
Item Parameter Recovery: Sensitivity to Prior Distribution10
Improving the Use of Parallel Analysis by Accounting for Sampling Variability of the Observed Correlation Matrix10
An Explanatory Multidimensional Random Item Effects Rating Scale Model10
On the Benefits of Using Maximal Reliability in Educational and Behavioral Research10
Examination of ChatGPT’s Performance as a Data Analysis Tool10
What Affects the Quality of Score Transformations? Potential Issues in True-Score Equating Using the Partial Credit Model9
How to Improve the Regression Factor Score Predictor When Individuals Have Different Factor Loadings9
Rotation Local Solutions in Multidimensional Item Response Theory Models9
Examining the Dynamic of Clustering Effects in Multilevel Designs: A Latent Variable Method Application8
The Impact and Detection of Uniform Differential Item Functioning for Continuous Item Response Models8
Integrating Ensemble Clustering and Text Embeddings for Estimating the Factor Loadings of Self-Report Scales8
From Linear Geometry to Nonlinear and Information-Geometric Settings in Test Theory: Bregman Projections as a Unifying Framework8
Agreement Lambda for Weighted Disagreement With Ordinal Scales: Correction for Category Prevalence7
Separation of Traits and Extreme Response Style in IRTree Models: The Role of Mimicry Effects for the Meaningful Interpretation of Estimates7
On the Complex Sources of Differential Item Functioning: A Comparison of Three Methods7
Measuring Unipolar Traits With Continuous Response Items: Some Methodological and Substantive Developments7
Examining the Instructional Sensitivity of Constructed-Response Achievement Test Item Scores6
Obtaining a Bayesian Estimate of Coefficient Alpha Using a Posterior Normal Distribution6
Detecting Rating Scale Malfunctioning With the Partial Credit Model and Generalized Partial Credit Model6
Are Speeded Tests Unfair? Modeling the Impact of Time Limits on the Gender Gap in Mathematics6
Linear and Nonlinear Indices of Score Accuracy and Item Effectiveness for Measures That Contain Locally Dependent Items6
The One-Parameter Logistic Model Can Be True With Zero Probability for a Unidimensional Measuring Instrument: How One Could Go Wrong Removing Items Not Satisfying the Model6
A Bayesian General Model to Account for Individual Differences in Operation-Specific Learning Within a Test6
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis6
Impacts of DIF Item Balance and Effect Size Incorporation With the Rasch Tree5
Using Multiple Imputation to Account for the Uncertainty Due to Missing Data in the Context of Factor Retention5
Modeling Misspecification as a Parameter in Bayesian Structural Equation Models5
An Item Response Theory Model for Incorporating Response Times in Forced-Choice Measures5
Differential Item Functioning Effect Size Use for Validity Information5
Awareness Is Bliss: How Acquiescence Affects Exploratory Factor Analysis5
Investigating Heterogeneity in Response Strategies: A Mixture Multidimensional IRTree Approach5
An Evaluation of Fit Indices Used in Model Selection of Dichotomous Mixture IRT Models5
Discriminating Between Attribute, Item-Position, and Wording Effects by the Congeneric and Tau-Equivalent Confirmatory Factor Analysis Models5
Historical Measurement Information Can Be Used to Improve Estimation of Structural Parameters in Structural Equation Models With Small Samples5
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