Educational and Psychological Measurement

Papers
(The median citation count of Educational and Psychological Measurement is 2. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
Sample Size Requirements for Simple and Complex Mediation Models71
Detecting Careless Responding in Survey Data Using Stochastic Gradient Boosting38
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis37
A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models23
Assessing Preknowledge Cheating via Innovative Measures: A Multiple-Group Analysis of Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts22
Exploratory Graph Analysis for Factor Retention: Simulation Results for Continuous and Binary Data21
A Simulation Study on the Performance of Different Reliability Estimation Methods20
A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models19
Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles18
Exploration of the Stacking Ensemble Machine Learning Algorithm for Cheating Detection in Large-Scale Assessment17
KR20 and KR21 for Some Nondichotomous Data (It’s Not Just Cronbach’s Alpha)16
Is Differential Noneffortful Responding Associated With Type I Error in Measurement Invariance Testing?16
A Polytomous Scoring Approach to Handle Not-Reached Items in Low-Stakes Assessments15
Assessing the Accuracy of Parameter Estimates in the Presence of Rapid Guessing Misclassifications13
Large-Sample Variance of Fleiss Generalized Kappa11
How Days Between Tests Impacts Alternate Forms Reliability in Computerized Adaptive Tests11
Factor Retention in Exploratory Factor Analysis With Missing Data11
Range Restriction Affects Factor Analysis: Normality, Estimation, Fit, Loadings, and Reliability10
Treatments of Differential Item Functioning: A Comparison of Four Methods10
Detecting Rater Biases in Sparse Rater-Mediated Assessment Networks10
Explaining Variability in Response Style Traits: A Covariate-Adjusted IRTree9
Evaluating Different Scoring Methods for Multiple Response Items Providing Partial Credit9
Performance of Coefficient Alpha and Its Alternatives: Effects of Different Types of Non-Normality9
Assessing Measurement Invariance Across Multiple Groups: When Is Fit Good Enough?8
Evidence That Selecting an Appropriate Item Response Theory–Based Approach to Scoring Surveys Can Help Avoid Biased Treatment Effect Estimates8
Generalized Linear Factor Score Regression: A Comparison of Four Methods8
Detecting Differential Rater Functioning in Severity and Centrality: The Dual DRF Facets Model7
Prediction With Mixed Effects Models: A Monte Carlo Simulation Study7
Application of Change Point Analysis of Response Time Data to Detect Test Speededness7
Detecting Preknowledge Cheating via Innovative Measures: A Mixture Hierarchical Model for Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts7
Using Simulated Annealing to Investigate Sensitivity of SEM to External Model Misspecification6
Semisupervised Learning Method to Adjust Biased Item Difficulty Estimates Caused by Nonignorable Missingness in a Virtual Learning Environment6
A Robust Method for Detecting Item Misfit in Large-Scale Assessments5
A Comparison of Label Switching Algorithms in the Context of Growth Mixture Models5
Identifying Problematic Item Characteristics With Small Samples Using Mokken Scale Analysis5
Detecting Rating Scale Malfunctioning With the Partial Credit Model and Generalized Partial Credit Model5
The Effect of Latent and Error Non-Normality on Measures of Fit in Structural Equation Modeling5
Why Do Regular and Reversed Items Load on Separate Factors? Response Difficulty vs. Item Extremity5
Effects of Response Option Order on Likert-Type Psychometric Properties and Reactions5
Measuring Response Style Stability Across Constructs With Item Response Trees5
A Monte Carlo Study of Confidence Interval Methods for Generalizability Coefficient5
Determining the Number of Factors When Population Models Can Be Closely Approximated by Parsimonious Models5
Bayesian Hierarchical Multidimensional Item Response Modeling of Small Sample, Sparse Data for Personalized Developmental Surveillance5
On the Performance of Semi- and Nonparametric Item Response Functions in Computer Adaptive Tests5
Combined Approach to Multi-Informant Data Using Latent Factors and Latent Classes: Trifactor Mixture Model5
Changes in the Speed–Ability Relation Through Different Treatments of Rapid Guessing5
The Impact of Measurement Model Misspecification on Coefficient Omega Estimates of Composite Reliability5
On the Relationship Between Item Stem Formulation and Criterion Validity of Multiple-Component Measuring Instruments4
Effects of Compounded Nonnormality of Residuals in Hierarchical Linear Modeling4
Modeling Misspecification as a Parameter in Bayesian Structural Equation Models4
Model Selection and Average Proportion Explained Variance in Exploratory Factor Analysis4
Scoring Graphical Responses in TIMSS 2019 Using Artificial Neural Networks4
Symptom Presence and Symptom Severity as Unique Indicators of Psychopathology: An Application of Multidimensional Zero-Inflated and Hurdle Graded Response Models4
On Bank Assembly and Block Selection in Multidimensional Forced-Choice Adaptive Assessments4
On the Importance of Coefficient Alpha for Measurement Research: Loading Equality Is Not Necessary for Alpha’s Utility as a Scale Reliability Index4
Nominal Factor Analysis of Situational Judgment Tests: Evaluation of Latent Dimensionality and Factorial Invariance3
Can People With Higher Versus Lower Scores on Impression Management or Self-Monitoring Be Identified Through Different Traces Under Faking?3
Wald χ2 Test for Differential Item Functioning Detection with Polytomous Items in Multilevel Data3
The Impact of Sample Size and Various Other Factors on Estimation of Dichotomous Mixture IRT Models3
The Accuracy of Bayesian Model Fit Indices in Selecting Among Multidimensional Item Response Theory Models3
Multiple Group Analysis in Multilevel Data Across Within-Level Groups: A Comparison of Multilevel Factor Mixture Modeling and Multilevel Multiple-Indicators Multiple-Causes Modeling3
Separation of Traits and Extreme Response Style in IRTree Models: The Role of Mimicry Effects for the Meaningful Interpretation of Estimates3
A Short Note on Optimizing Cost-Generalizability via a Machine-Learning Approach3
Polytomous Testlet Response Models for Technology-Enhanced Innovative Items: Implications on Model Fit and Trait Inference3
Awareness Is Bliss: How Acquiescence Affects Exploratory Factor Analysis3
The Response Vector for Mastery Method of Standard Setting3
Thinking About Sum Scores Yet Again, Maybe the Last Time, We Don’t Know, Oh No . . .: A Comment on3
DIF Detection With Zero-Inflation Under the Factor Mixture Modeling Framework3
Equating Oral Reading Fluency Scores: A Model-Based Approach3
Model Specification Searches in Structural Equation Modeling Using Bee Swarm Optimization3
A Small Sample Correction for Factor Score Regression3
A Comparison of Person-Fit Indices to Detect Social Desirability Bias3
Estimating Probabilities of Passing for Examinees With Incomplete Data in Mastery Tests3
A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items3
The Importance of Thinking Multivariately When Setting Subscale Cutoff Scores3
The Sampling Ratio in Multilevel Structural Equation Models: Considerations to Inform Study Design3
On Effect Size Measures for Nested Measurement Models3
Use of the Lagrange Multiplier Test for Assessing Measurement Invariance Under Model Misspecification2
Croon’s Bias-Corrected Estimation for Multilevel Structural Equation Models with Non-Normal Indicators and Model Misspecifications2
Growth Mixture Modeling With Nonnormal Distributions: Implications for Data Transformation2
Testing the Performance of Level-Specific Fit Evaluation in MCFA Models With Different Factor Structures Across Levels2
Matched and Fully Private? A New Self-Generated Identification Code for School-Based Cohort Studies to Increase Perceived Anonymity2
An Item Response Theory Model for Incorporating Response Times in Forced-Choice Measures2
An Ensemble Learning Approach Based on TabNet and Machine Learning Models for Cheating Detection in Educational Tests2
On the Utility of Indirect Methods for Detecting Faking2
Comparing the Psychometric Properties of a Scale Across Three Likert and Three Alternative Formats: An Application to the Rosenberg Self-Esteem Scale2
Evaluation of Polytomous Item Locations in Multicomponent Measuring Instruments: A Note on a Latent Variable Modeling Procedure2
Coefficients of Factor Score Determinacy for Mean Plausible Values of Bayesian Factor Analysis2
Multidimensional Forced-Choice CAT With Dominance Items: An Empirical Comparison With Optimal Static Testing Under Different Desirability Matching2
Are Speeded Tests Unfair? Modeling the Impact of Time Limits on the Gender Gap in Mathematics2
Supervised Classes, Unsupervised Mixing Proportions: Detection of Bots in a Likert-Type Questionnaire2
Poisson Diagnostic Classification Models: A Framework and an Exploratory Example2
The Impact and Detection of Uniform Differential Item Functioning for Continuous Item Response Models2
Testing for Differential Item Functioning Under the D-Scoring Method2
Is the Area Under Curve Appropriate for Evaluating the Fit of Psychometric Models?2
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