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 2020-04-01 to 2024-04-01.)
ArticleCitations
Using the Standardized Root Mean Squared Residual (SRMR) to Assess Exact Fit in Structural Equation Models65
Sample Size Requirements for Simple and Complex Mediation Models49
The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation42
Disentangling Item and Testing Effects in Inoculation Research on Online Misinformation: Solomon Revisited30
Detecting Careless Responding in Survey Data Using Stochastic Gradient Boosting26
Assessing Preknowledge Cheating via Innovative Measures: A Multiple-Group Analysis of Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts20
A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models20
Design of Paper-Based Visual Analogue Scale Items17
A Mixture IRTree Model for Extreme Response Style: Accounting for Response Process Uncertainty16
Modeling Item Revisit Behavior: The Hierarchical Speed–Accuracy–Revisits Model16
Can High-Dimensional Questionnaires Resolve the Ipsativity Issue of Forced-Choice Response Formats?15
Parameter Estimation Accuracy of the Effort-Moderated Item Response Theory Model Under Multiple Assumption Violations15
Improvement of Norm Score Quality via Regression-Based Continuous Norming15
A Simulation Study on the Performance of Different Reliability Estimation Methods14
Exploratory Graph Analysis for Factor Retention: Simulation Results for Continuous and Binary Data14
A Markov Estimation Strategy for Longitudinal Learning Diagnosis: Providing Timely Diagnostic Feedback14
KR20 and KR21 for Some Nondichotomous Data (It’s Not Just Cronbach’s Alpha)14
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?12
Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles12
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis12
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
A Polytomous Scoring Approach to Handle Not-Reached Items in Low-Stakes Assessments10
Factor Retention in Exploratory Factor Analysis With Missing Data9
Seeing the Forest and the Trees: Comparison of Two IRTree Models to Investigate the Impact of Full Versus Endpoint-Only Response Option Labeling9
Testing Measurement Invariance Across Unobserved Groups: The Role of Covariates in Factor Mixture Modeling9
Detecting Rater Biases in Sparse Rater-Mediated Assessment Networks9
How Days Between Tests Impacts Alternate Forms Reliability in Computerized Adaptive Tests8
A Mixture IRTree Model for Performance Decline and Nonignorable Missing Data8
Performance of Coefficient Alpha and Its Alternatives: Effects of Different Types of Non-Normality8
Large-Sample Variance of Fleiss Generalized Kappa8
Range Restriction Affects Factor Analysis: Normality, Estimation, Fit, Loadings, and Reliability8
The Appropriateness of Sum Scores as Estimates of Factor Scores in the Multiple Factor Analysis of Ordered-Categorical Responses7
Treatments of Differential Item Functioning: A Comparison of Four Methods7
Evaluating Different Scoring Methods for Multiple Response Items Providing Partial Credit7
Application of Change Point Analysis of Response Time Data to Detect Test Speededness7
Explaining Variability in Response Style Traits: A Covariate-Adjusted IRTree7
Semisupervised Learning Method to Adjust Biased Item Difficulty Estimates Caused by Nonignorable Missingness in a Virtual Learning Environment6
It Matters: Reference Indicator Selection in Measurement Invariance Tests6
Assessing Measurement Invariance Across Multiple Groups: When Is Fit Good Enough?5
Changes in the Speed–Ability Relation Through Different Treatments of Rapid Guessing5
Latent D-Scoring Modeling: Estimation of Item and Person Parameters5
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
Detecting Differential Rater Functioning in Severity and Centrality: The Dual DRF Facets Model5
Using Simulated Annealing to Investigate Sensitivity of SEM to External Model Misspecification5
Generalized Linear Factor Score Regression: A Comparison of Four Methods5
Prediction With Mixed Effects Models: A Monte Carlo Simulation Study5
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
The Impact of Measurement Model Misspecification on Coefficient Omega Estimates of Composite Reliability4
Effects of Compounded Nonnormality of Residuals in Hierarchical Linear Modeling4
Evidence That Selecting an Appropriate Item Response Theory–Based Approach to Scoring Surveys Can Help Avoid Biased Treatment Effect Estimates4
Modeling Misspecification as a Parameter in Bayesian Structural Equation Models4
Model Selection and Average Proportion Explained Variance in Exploratory Factor Analysis4
On Bank Assembly and Block Selection in Multidimensional Forced-Choice Adaptive Assessments4
On the Performance of Semi- and Nonparametric Item Response Functions in Computer Adaptive Tests4
On the Importance of Coefficient Alpha for Measurement Research: Loading Equality Is Not Necessary for Alpha’s Utility as a Scale Reliability Index4
On the Relationship Between Item Stem Formulation and Criterion Validity of Multiple-Component Measuring Instruments4
Bayesian Hierarchical Multidimensional Item Response Modeling of Small Sample, Sparse Data for Personalized Developmental Surveillance4
A Comparison of Label Switching Algorithms in the Context of Growth Mixture Models4
Measuring Response Style Stability Across Constructs With Item Response Trees4
Performance of the S−χ2 Statistic for the Multidimensional Graded Response Model3
Evaluating Restrictive Models in Educational and Behavioral Research: Local Misfit Overrides Model Tenability3
Examining Multidimensional Measuring Instruments for Proximity to Unidimensional Structure Using Latent Variable Modeling3
Detecting Preknowledge Cheating via Innovative Measures: A Mixture Hierarchical Model for Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts3
On Effect Size Measures for Nested Measurement Models3
A Robust Method for Detecting Item Misfit in Large-Scale Assessments3
The Performance of the Semigeneralized Partial Credit Model for Handling Item-Level Missingness3
Can People With Higher Versus Lower Scores on Impression Management or Self-Monitoring Be Identified Through Different Traces Under Faking?3
Incorporating Uncertainty Into Parallel Analysis for Choosing the Number of Factors via Bayesian Methods3
DIF Detection With Zero-Inflation Under the Factor Mixture Modeling Framework3
Differential Item Functioning Effect Size From the Multigroup Confirmatory Factor Analysis for a Meta-Analysis: A Simulation Study3
Identifying Problematic Item Characteristics With Small Samples Using Mokken Scale Analysis3
Estimating Probabilities of Passing for Examinees With Incomplete Data in Mastery Tests3
Latent Variable Modeling and Adaptive Testing for Experimental Cognitive Psychopathology Research3
A Monte Carlo Study of Confidence Interval Methods for Generalizability Coefficient3
Why Do Regular and Reversed Items Load on Separate Factors? Response Difficulty vs. Item Extremity2
The Sampling Ratio in Multilevel Structural Equation Models: Considerations to Inform Study Design2
Effects of Response Option Order on Likert-Type Psychometric Properties and Reactions2
Model Specification Searches in Structural Equation Modeling Using Bee Swarm Optimization2
A Comparison of Person-Fit Indices to Detect Social Desirability Bias2
Multiple Group Analysis in Multilevel Data Across Within-Level Groups: A Comparison of Multilevel Factor Mixture Modeling and Multilevel Multiple-Indicators Multiple-Causes Modeling2
Testing the Performance of Level-Specific Fit Evaluation in MCFA Models With Different Factor Structures Across Levels2
A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items2
The Impact of Sample Size and Various Other Factors on Estimation of Dichotomous Mixture IRT Models2
A Short Note on Optimizing Cost-Generalizability via a Machine-Learning Approach2
Detecting Rating Scale Malfunctioning With the Partial Credit Model and Generalized Partial Credit Model2
A Small Sample Correction for Factor Score Regression2
Determining the Number of Factors When Population Models Can Be Closely Approximated by Parsimonious Models2
Nominal Factor Analysis of Situational Judgment Tests: Evaluation of Latent Dimensionality and Factorial Invariance2
Multidimensional Forced-Choice CAT With Dominance Items: An Empirical Comparison With Optimal Static Testing Under Different Desirability Matching2
Use of the Lagrange Multiplier Test for Assessing Measurement Invariance Under Model Misspecification2
Growth Mixture Modeling With Nonnormal Distributions: Implications for Data Transformation2
The Importance of Thinking Multivariately When Setting Subscale Cutoff Scores2
Polytomous Testlet Response Models for Technology-Enhanced Innovative Items: Implications on Model Fit and Trait Inference2
Supervised Classes, Unsupervised Mixing Proportions: Detection of Bots in a Likert-Type Questionnaire2
Awareness Is Bliss: How Acquiescence Affects Exploratory Factor Analysis2
Testing for Differential Item Functioning Under the D-Scoring Method2
The Response Vector for Mastery Method of Standard Setting2
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