OOIR: Observatory of International Research

Papers

(The TQCC of Educational and Psychological Measurement is 4. 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
Sample Size Requirements for Simple and Complex Mediation Models	75
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis	39
Detecting Careless Responding in Survey Data Using Stochastic Gradient Boosting	39
A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models	23
Exploratory Graph Analysis for Factor Retention: Simulation Results for Continuous and Binary Data	21
A Simulation Study on the Performance of Different Reliability Estimation Methods	20
A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models	19
Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles	18
Exploration of the Stacking Ensemble Machine Learning Algorithm for Cheating Detection in Large-Scale Assessment	17
Is Differential Noneffortful Responding Associated With Type I Error in Measurement Invariance Testing?	16
KR20 and KR21 for Some Nondichotomous Data (It’s Not Just Cronbach’s Alpha)	16
A Polytomous Scoring Approach to Handle Not-Reached Items in Low-Stakes Assessments	15
Assessing the Accuracy of Parameter Estimates in the Presence of Rapid Guessing Misclassifications	13
How Days Between Tests Impacts Alternate Forms Reliability in Computerized Adaptive Tests	13
Factor Retention in Exploratory Factor Analysis With Missing Data	12
Treatments of Differential Item Functioning: A Comparison of Four Methods	11
Large-Sample Variance of Fleiss Generalized Kappa	11
Range Restriction Affects Factor Analysis: Normality, Estimation, Fit, Loadings, and Reliability	11
Detecting Rater Biases in Sparse Rater-Mediated Assessment Networks	10
Performance of Coefficient Alpha and Its Alternatives: Effects of Different Types of Non-Normality	9
Evaluating Different Scoring Methods for Multiple Response Items Providing Partial Credit	9
Explaining Variability in Response Style Traits: A Covariate-Adjusted IRTree	9
Evidence That Selecting an Appropriate Item Response Theory–Based Approach to Scoring Surveys Can Help Avoid Biased Treatment Effect Estimates	8
Generalized Linear Factor Score Regression: A Comparison of Four Methods	8
Prediction With Mixed Effects Models: A Monte Carlo Simulation Study	8

Assessing Measurement Invariance Across Multiple Groups: When Is Fit Good Enough?	8
Detecting Preknowledge Cheating via Innovative Measures: A Mixture Hierarchical Model for Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts	8
Application of Change Point Analysis of Response Time Data to Detect Test Speededness	7
Detecting Differential Rater Functioning in Severity and Centrality: The Dual DRF Facets Model	7
Semisupervised Learning Method to Adjust Biased Item Difficulty Estimates Caused by Nonignorable Missingness in a Virtual Learning Environment	6
Using Simulated Annealing to Investigate Sensitivity of SEM to External Model Misspecification	6
Effects of Response Option Order on Likert-Type Psychometric Properties and Reactions	6
A Robust Method for Detecting Item Misfit in Large-Scale Assessments	5
Measuring Response Style Stability Across Constructs With Item Response Trees	5
Detecting Rating Scale Malfunctioning With the Partial Credit Model and Generalized Partial Credit Model	5
The Effect of Latent and Error Non-Normality on Measures of Fit in Structural Equation Modeling	5
Bayesian Hierarchical Multidimensional Item Response Modeling of Small Sample, Sparse Data for Personalized Developmental Surveillance	5
On the Performance of Semi- and Nonparametric Item Response Functions in Computer Adaptive Tests	5
Identifying Problematic Item Characteristics With Small Samples Using Mokken Scale Analysis	5
The Impact of Measurement Model Misspecification on Coefficient Omega Estimates of Composite Reliability	5
Determining the Number of Factors When Population Models Can Be Closely Approximated by Parsimonious Models	5
Why Do Regular and Reversed Items Load on Separate Factors? Response Difficulty vs. Item Extremity	5
Combined Approach to Multi-Informant Data Using Latent Factors and Latent Classes: Trifactor Mixture Model	5
Changes in the Speed–Ability Relation Through Different Treatments of Rapid Guessing	5
A Monte Carlo Study of Confidence Interval Methods for Generalizability Coefficient	5
A Comparison of Label Switching Algorithms in the Context of Growth Mixture Models	5
On Bank Assembly and Block Selection in Multidimensional Forced-Choice Adaptive Assessments	4
Scoring Graphical Responses in TIMSS 2019 Using Artificial Neural Networks	4
Symptom Presence and Symptom Severity as Unique Indicators of Psychopathology: An Application of Multidimensional Zero-Inflated and Hurdle Graded Response Models	4
Effects of Compounded Nonnormality of Residuals in Hierarchical Linear Modeling	4
On the Importance of Coefficient Alpha for Measurement Research: Loading Equality Is Not Necessary for Alpha’s Utility as a Scale Reliability Index	4
On the Relationship Between Item Stem Formulation and Criterion Validity of Multiple-Component Measuring Instruments	4
Polytomous Testlet Response Models for Technology-Enhanced Innovative Items: Implications on Model Fit and Trait Inference	4
Modeling Misspecification as a Parameter in Bayesian Structural Equation Models	4