OOIR: Observatory of International Research

Papers

(The median citation count of Applied Psychological Measurement is 1. 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 2021-04-01 to 2025-04-01.)

Article	Citations
Item Response Modeling of Clinical Instruments With Filter Questions: Disentangling Symptom Presence and Severity	24
A Signal Detection Model for Multiple-Choice Exams	22
Estimating Test-Retest Reliability in the Presence of Self-Selection Bias and Learning/Practice Effects	17
Attenuation-Corrected Estimators of Reliability	14
A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data	12
Evaluating the Douglas-Cohen IRT Goodness of Fit Measure With BIB Sampling of Items	9
A Comparison of Robust Likelihood Estimators to Mitigate Bias From Rapid Guessing	8
Consequences of Ignoring Guessing Effects on Measurement Invariance Analysis	8
The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes	8
Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts	7
Considerations for Fitting Dynamic Bayesian Networks With Latent Variables: A Monte Carlo Study	7
On the Folly of Introducing A (Time-Based UMV), While Designing for B (Time-Based CMV)	6
Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests	6
Sequential Bayesian Ability Estimation Applied to Mixed-Format Item Tests	6
Bayesian Approaches for Detecting Differential Item Functioning Using the Generalized Graded Unfolding Model	6
Using a Generalized Logistic Regression Method to Detect Differential Item Functioning With Multiple Groups in Cognitive Diagnostic Tests	6
Semi-Parametric Item Response Theory With O’Sullivan Splines for Item Responses and Response Time	6
DIFSIB: A SIBTEST Package	6
Computerized Adaptive Testing for Ipsative Tests with Multidimensional Pairwise-Comparison Items: Algorithm Development and Applications	5
Enhancing Computerized Adaptive Testing with Batteries of Unidimensional Tests	5
Dual-Objective Item Selection Methods in Computerized Adaptive Test Using the Higher-Order Cognitive Diagnostic Models	5
Online Parameter Estimation for Student Evaluation of Teaching	5
A Mixed Sequential IRT Model for Mixed-Format Items	5
glca: An R Package for Multiple-Group Latent Class Analysis	5
Impact of Parameter Predictability and Joint Modeling of Response Accuracy and Response Time on Ability Estimates	4

A Two-Step Q-Matrix Estimation Method	4
A Likelihood Approach to Item Response Theory Equating of Multiple Forms	4
Accommodating and Extending Various Models for Special Effects Within the Generalized Partially Confirmatory Factor Analysis Framework	4
Modified Item-Fit Indices for Dichotomous IRT Models with Missing Data	4
Global Information for Multidimensional Tests	4
`PROsetta`: An R Package for Linking Patient-Reported Outcome Measures	4
Multistage Testing in Heterogeneous Populations: Some Design and Implementation Considerations	4
Evaluating Equating Transformations in IRT Observed-Score and Kernel Equating Methods	4
The Improved EMS Algorithm for Latent Variable Selection in M3PL Model	4
Benefits of the Curious Behavior of Bayesian Hierarchical Item Response Theory Models—An in-Depth Investigation and Bias Correction	4
Compound Optimal Design for Online Item Calibration Under the Two-Parameter Logistic Model	4
Detecting uniform differential item functioning for continuous response computerized adaptive testing	3
Modeling Within- and Between-Person Differences in the Use of the Middle Category in Likert Scales	3
Book Review: Generalized Kernel Equating with Applications in R WibergMarieGonzalezJorgevon DavierAlina A. (2025). Generalized Kernel Equating with Applications in R. Boca Raton, Florida. CRC Press, p	3
The Lack of Robustness of a Statistic Based on the Neyman–Pearson Lemma to Violations of Its Underlying Assumptions	3
Scale Linking for the Testlet Item Response Theory Model	3
Outlier Detection Using t-test in Rasch IRT Equating under NEAT Design	3
Efficient Metropolis-Hastings Robbins-Monro Algorithm for High-Dimensional Diagnostic Classification Models	3
bmggum: An R Package for Bayesian Estimation of the Multidimensional Generalized Graded Unfolding Model With Covariates	3
Termination Criteria for Grid Multiclassification Adaptive Testing With Multidimensional Polytomous Items	3
Graph Theory Approach to Detect Examinees Involved in Test Collusion	3
Using a Response Time–Based Expected A Posteriori Estimator to Control for Differential Speededness in Computerized Adaptive Test	3
Few and Different: Detecting Examinees With Preknowledge Using Extended Isolation Forests	3
Factor Retention Using Machine Learning With Ordinal Data	3
Effect of Differential Item Functioning on Computer Adaptive Testing Under Different Conditions	2
Assessing Dimensionality in Dichotomous Items When Many Subjects Have All-Zero Responses: An Example From Psychiatry and a Solution Using Mixture Models	2
On Guessing: An Alternative Adjusted Positive Learning Estimator and Comparing Probability Misspecification With Monte Carlo Simulations	2
Evaluation of the Linear Composite Conjecture for Unidimensional IRT Scale for Multidimensional Responses	2
Using Interpretable Machine Learning for Differential Item Functioning Detection in Psychometric Tests	2
The Standardized S-X² Statistic for Assessing Item Fit	2
Weighted Answer Similarity Analysis	2
Item-Fit Statistic Based on Posterior Probabilities of Membership in Ability Groups	2
Item Response Theory True Score Equating for the Bifactor Model Under the Common-Item Nonequivalent Groups Design	2
A Mark-Recapture Approach to Estimating Item Pool Compromise	2
Flexible Item Response Models for Count Data: The Count Thresholds Model	2
Cut-Score Operating Function Extensions: Penalty-Based Errors and Uncertainty in Standard Settings	2
An Empirical Identification Issue of the Bifactor Item Response Theory Model	2
Test Security and the Pandemic: Comparison of Test Center and Online Proctor Delivery Modalities	2
Measurement of Ability in Adaptive Learning and Assessment Systems when Learners Use On-Demand Hints	2
aberrance: An R Package for Detecting Aberrant Behavior in Test Data	2
Comparing Test-Taking Effort Between Paper-Based and Computer-Based Tests	2
Bayesian Item Response Theory Models With Flexible Generalized Logit Links	2
Targeted Double Scoring of Performance Tasks Using a Decision-Theoretic Approach	2
A Generalized Multi-Detector Combination Approach for Differential Item Functioning Detection	1
Using Item Scores and Distractors to Detect Test Speededness	1
Two Statistics for Measuring the Score Comparability of Computerized Adaptive Tests	1
An Experimental Design to Investigate Item Parameter Drift	1
Multi-Battery Factor Analysis in R	1
Uncovering the Complexity of Item Position Effects in a Low-Stakes Testing Context	1
The Potential for Interpretational Confounding in Cognitive Diagnosis Models	1

A Bayesian Random Weights Linear Logistic Test Model for Within-Test Practice Effects	1
Answer Similarity Analysis at the Group Level	1
Detecting Examinees With Item Preknowledge on Real Data	1
On a Reparameterization of the MC-DINA Model	1
maat: An R Package for Multiple Administrations Adaptive Testing	1
Adaptive Measurement of Change in the Context of Item Parameter Drift	1
Investigating Directional Invariance in an Item Response Tree Model for Extreme Response Style and Trait-Based Unfolding Responses	1
Accuracy in Invariance Detection With Multilevel Models With Three Estimators	1
The Explanatory Generalized Graded Unfolding Model: Incorporating Collateral Information to Improve the Latent Trait Estimation Accuracy	1
A Comparison of Modern and Popular Approaches to Calculating Reliability for Dichotomously Scored Items	1
Are Large-Scale Test Scores Comparable for At-Home Versus Test Center Testing?	1
An Information Manifold Perspective for Analyzing Test Data	1
Partial Measurement Invariance: Extending and Evaluating the Cluster Approach for Identifying Anchor Items	1
Using Auxiliary Item Information in the Item Parameter Estimation of a Graded Response Model for a Small to Medium Sample Size: Empirical Versus Hierarchical Bayes Estimation	1
Empirical Priors in Polytomous Computerized Adaptive Tests: Risks and Rewards in Clinical Settings	1
Confidence Screening Detector: A New Method for Detecting Test Collusion	1
How Important is the Choice of Bandwidth in Kernel Equating?	1
A New Method to Balance Measurement Accuracy and Attribute Coverage in Cognitive Diagnostic Computerized Adaptive Testing	1
Detecting Differential Item Functioning in Multidimensional Graded Response Models With Recursive Partitioning	1
How Scoring Approaches Impact Estimates of Growth in the Presence of Survey Item Ceiling Effects	1
Is Measurement Noninvariance a Threat to Inferences Drawn from Randomized Control Trials? Evidence From Empirical and Simulation Studies	1