OOIR: Observatory of International Research

Papers

(The TQCC of Applied Psychological Measurement is 3. 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.)

Article	Citations
Estimating Cognitive Diagnosis Models in Small Samples: Bayes Modal Estimation and Monotonic Constraints	15
Detecting Differential Item Functioning Using Multiple-Group Cognitive Diagnosis Models	15
Improving Accuracy and Usage by Correctly Selecting: The Effects of Model Selection in Cognitive Diagnosis Computerized Adaptive Testing	12
Investigating the Impact of Noneffortful Responses on Individual-Level Scores: Can the Effort-Moderated IRT Model Serve as a Solution?	11
Factor Retention Using Machine Learning With Ordinal Data	11
`PROsetta`: An R Package for Linking Patient-Reported Outcome Measures	9
A Multivariate Probit Model for Learning Trajectories: A Fine-Grained Evaluation of an Educational Intervention	9
SPSS Syntax for Combining Results of Principal Component Analysis of Multiply Imputed Data Sets using Generalized Procrustes Analysis	8
glca: An R Package for Multiple-Group Latent Class Analysis	8
Partial Measurement Invariance: Extending and Evaluating the Cluster Approach for Identifying Anchor Items	7
A Signal Detection Model for Multiple-Choice Exams	7
irtplay: An R Package for Online Item Calibration, Scoring, Evaluation of Model Fit, and Useful Functions for Unidimensional IRT	6
autoFC: An R Package for Automatic Item Pairing in Forced-Choice Test Construction	6
Is Measurement Noninvariance a Threat to Inferences Drawn from Randomized Control Trials? Evidence From Empirical and Simulation Studies	6
Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts	5
Assessment of Differential Statement Functioning in Ipsative Tests With Multidimensional Forced-Choice Items	5
Graph Theory Approach to Detect Examinees Involved in Test Collusion	5
Bayesian Item Response Theory Models With Flexible Generalized Logit Links	5
Optimal Hierarchical Learning Path Design With Reinforcement Learning	5
On the Speed Sensitivity Parameter in the Lognormal Model for Response Times and Implications for High-Stakes Measurement Practice	5
bmggum: An R Package for Bayesian Estimation of the Multidimensional Generalized Graded Unfolding Model With Covariates	5
Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data	4
Uncertainty in Latent Trait Models	4
Attenuation-Corrected Estimators of Reliability	4
On the Practical Consequences of Misfit in Mokken Scaling	4

An Iterative Parametric Bootstrap Approach to Evaluating Rater Fit	3
Flexible Computerized Adaptive Tests to Detect Misconceptions and Estimate Ability Simultaneously	3
Two New Models for Item Preknowledge	3
Answer Similarity Analysis at the Group Level	3
On Guessing: An Alternative Adjusted Positive Learning Estimator and Comparing Probability Misspecification With Monte Carlo Simulations	3
A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data	3
Modeling Rapid Guessing Behaviors in Computer-Based Testlet Items	3
An Exploratory Strategy to Identify and Define Sources of Differential Item Functioning	3
IRTGUI: An R Package for Unidimensional Item Response Theory Analysis With a Graphical User Interface	3
The Explanatory Generalized Graded Unfolding Model: Incorporating Collateral Information to Improve the Latent Trait Estimation Accuracy	3
Measurement of Ability in Adaptive Learning and Assessment Systems when Learners Use On-Demand Hints	3
Anchor Point Selection: Scale Alignment Based on an Inequality Criterion	3
The Optimal Design of Bifactor Multidimensional Computerized Adaptive Testing with Mixed-format Items	3
Quantifying the Distorting Effect of Rapid Guessing on Estimates of Coefficient Αlpha	3
How Important is the Choice of Bandwidth in Kernel Equating?	3
A Comparison of Robust Likelihood Estimators to Mitigate Bias From Rapid Guessing	3