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 2020-05-01 to 2024-05-01.)
ArticleCitations
Using the Standardized Root Mean Squared Residual (SRMR) to Assess Exact Fit in Structural Equation Models69
Sample Size Requirements for Simple and Complex Mediation Models52
The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation47
Disentangling Item and Testing Effects in Inoculation Research on Online Misinformation: Solomon Revisited31
Detecting Careless Responding in Survey Data Using Stochastic Gradient Boosting30
A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models22
Assessing Preknowledge Cheating via Innovative Measures: A Multiple-Group Analysis of Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts20
Design of Paper-Based Visual Analogue Scale Items18
Modeling Item Revisit Behavior: The Hierarchical Speed–Accuracy–Revisits Model17
Parameter Estimation Accuracy of the Effort-Moderated Item Response Theory Model Under Multiple Assumption Violations16
KR20 and KR21 for Some Nondichotomous Data (It’s Not Just Cronbach’s Alpha)16
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis16
Can High-Dimensional Questionnaires Resolve the Ipsativity Issue of Forced-Choice Response Formats?15
Improvement of Norm Score Quality via Regression-Based Continuous Norming15
Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles14
A Simulation Study on the Performance of Different Reliability Estimation Methods14
Exploratory Graph Analysis for Factor Retention: Simulation Results for Continuous and Binary Data14
Assessing the Accuracy of Parameter Estimates in the Presence of Rapid Guessing Misclassifications13
Is Differential Noneffortful Responding Associated With Type I Error in Measurement Invariance Testing?13
A Polytomous Scoring Approach to Handle Not-Reached Items in Low-Stakes Assessments12
Exploration of the Stacking Ensemble Machine Learning Algorithm for Cheating Detection in Large-Scale Assessment11
A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models11
Testing Measurement Invariance Across Unobserved Groups: The Role of Covariates in Factor Mixture Modeling10
Range Restriction Affects Factor Analysis: Normality, Estimation, Fit, Loadings, and Reliability9
Seeing the Forest and the Trees: Comparison of Two IRTree Models to Investigate the Impact of Full Versus Endpoint-Only Response Option Labeling9
Factor Retention in Exploratory Factor Analysis With Missing Data9
Detecting Rater Biases in Sparse Rater-Mediated Assessment Networks9
How Days Between Tests Impacts Alternate Forms Reliability in Computerized Adaptive Tests8
Treatments of Differential Item Functioning: A Comparison of Four Methods8
Performance of Coefficient Alpha and Its Alternatives: Effects of Different Types of Non-Normality8
Large-Sample Variance of Fleiss Generalized Kappa8
Evaluating Different Scoring Methods for Multiple Response Items Providing Partial Credit8
Application of Change Point Analysis of Response Time Data to Detect Test Speededness7
The Appropriateness of Sum Scores as Estimates of Factor Scores in the Multiple Factor Analysis of Ordered-Categorical Responses7
Explaining Variability in Response Style Traits: A Covariate-Adjusted IRTree7
Assessing Measurement Invariance Across Multiple Groups: When Is Fit Good Enough?6
It Matters: Reference Indicator Selection in Measurement Invariance Tests6
Semisupervised Learning Method to Adjust Biased Item Difficulty Estimates Caused by Nonignorable Missingness in a Virtual Learning Environment6
Detecting Differential Rater Functioning in Severity and Centrality: The Dual DRF Facets Model6
Evidence That Selecting an Appropriate Item Response Theory–Based Approach to Scoring Surveys Can Help Avoid Biased Treatment Effect Estimates5
Prediction With Mixed Effects Models: A Monte Carlo Simulation Study5
Exploring the Impact of Missing Data on Residual-Based Dimensionality Analysis for Measurement Models5
Combined Approach to Multi-Informant Data Using Latent Factors and Latent Classes: Trifactor Mixture Model5
Latent D-Scoring Modeling: Estimation of Item and Person Parameters5
Using Simulated Annealing to Investigate Sensitivity of SEM to External Model Misspecification5
Generalized Linear Factor Score Regression: A Comparison of Four Methods5
Changes in the Speed–Ability Relation Through Different Treatments of Rapid Guessing5
Developing and Validating a Novel Anonymous Method for Matching Longitudinal School-Based Data5
The Effect of Latent and Error Non-Normality on Measures of Fit in Structural Equation Modeling5
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