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 2020-04-01 to 2024-04-01.)

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	13
Detection of Item Preknowledge Using Response Times	12
Factor Retention Using Machine Learning With Ordinal Data	10
Improving Accuracy and Usage by Correctly Selecting: The Effects of Model Selection in Cognitive Diagnosis Computerized Adaptive Testing	10
Investigating the Impact of Noneffortful Responses on Individual-Level Scores: Can the Effort-Moderated IRT Model Serve as a Solution?	10
`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
glca: An R Package for Multiple-Group Latent Class Analysis	7
A Signal Detection Model for Multiple-Choice Exams	7
SPSS Syntax for Combining Results of Principal Component Analysis of Multiply Imputed Data Sets using Generalized Procrustes Analysis	7
Is Measurement Noninvariance a Threat to Inferences Drawn from Randomized Control Trials? Evidence From Empirical and Simulation Studies	6
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
Partial Measurement Invariance: Extending and Evaluating the Cluster Approach for Identifying Anchor Items	5
Graph Theory Approach to Detect Examinees Involved in Test Collusion	5
bmggum: An R Package for Bayesian Estimation of the Multidimensional Generalized Graded Unfolding Model With Covariates	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
Bayesian Item Response Theory Models With Flexible Generalized Logit Links	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
Attenuation-Corrected Estimators of Reliability	4
Uncertainty in Latent Trait Models	4
The Monotonic Polynomial Graded Response Model: Implementation and a Comparative Study	4
Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts	4

On the Practical Consequences of Misfit in Mokken Scaling	4
Assessment of Differential Statement Functioning in Ipsative Tests With Multidimensional Forced-Choice Items	4
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
Modeling Rapid Guessing Behaviors in Computer-Based Testlet Items	3
Anchor Point Selection: Scale Alignment Based on an Inequality Criterion	3
Two New Models for Item Preknowledge	3
How Important is the Choice of Bandwidth in Kernel Equating?	3
An Iterative Parametric Bootstrap Approach to Evaluating Rater Fit	3
Flexible Computerized Adaptive Tests to Detect Misconceptions and Estimate Ability Simultaneously	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
BayMDS: An R Package for Bayesian Multidimensional Scaling and Choice of Dimension	2
Scale Alignment in the Between-Item Multidimensional Partial Credit Model	2
Quantifying the Distorting Effect of Rapid Guessing on Estimates of Coefficient Αlpha	2
The Lack of Robustness of a Statistic Based on the Neyman–Pearson Lemma to Violations of Its Underlying Assumptions	2
First-Order Learning Models With the GDINA: Estimation With the EM Algorithm and Applications	2
A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data	2
Using a Generalized Logistic Regression Method to Detect Differential Item Functioning With Multiple Groups in Cognitive Diagnostic Tests	2
Making Fixed-Precision Between-Item Multidimensional Computerized Adaptive Tests Even Shorter by Reducing the Asymmetry Between Selection and Stopping Rules	2
The Optimal Design of Bifactor Multidimensional Computerized Adaptive Testing with Mixed-format Items	2
Item-Fit Statistic Based on Posterior Probabilities of Membership in Ability Groups	2
Modeling Asymmetry in the Time–Distance Relation of Ordinal Personality Items	2
OpenMx: A Modular Research Environment for Item Response Theory Method Development	2
DIFSIB: A SIBTEST Package	2
A Comparison of Robust Likelihood Estimators to Mitigate Bias From Rapid Guessing	2
A Testlet Diagnostic Classification Model with Attribute Hierarchies	2
Partially and Fully Noncompensatory Response Models for Dichotomous and Polytomous Items	2
SEMsens: An R Package for Sensitivity Analysis of Structural Equation Models With the Ant Colony Optimization Algorithm	2
Targeted Double Scoring of Performance Tasks Using a Decision-Theoretic Approach	2
Outlier Detection Using t-test in Rasch IRT Equating under NEAT Design	2
Evaluating Equating Transformations in IRT Observed-Score and Kernel Equating Methods	2
Bayesian Approaches for Detecting Differential Item Functioning Using the Generalized Graded Unfolding Model	2
The Block Item Pocket Method for Reviewable Multidimensional Computerized Adaptive Testing	2
IRTBEMM: An R Package for Estimating IRT Models With Guessing or Slipping Parameters	1
Global Information for Multidimensional Tests	1
Considerations for Fitting Dynamic Bayesian Networks With Latent Variables: A Monte Carlo Study	1
Impact of Sampling Variability When Estimating the Explained Common Variance	1
A Seed Usage Issue on Using catR for Simulation and the Solution	1
Does Sparseness Matter? Examining the Use of Generalizability Theory and Many-Facet Rasch Measurement in Sparse Rating Designs	1
Detecting Examinees With Item Preknowledge on Real Data	1
A New Method to Balance Measurement Accuracy and Attribute Coverage in Cognitive Diagnostic Computerized Adaptive Testing	1
Flexible Item Response Models for Count Data: The Count Thresholds Model	1
Using a Response Time–Based Expected A Posteriori Estimator to Control for Differential Speededness in Computerized Adaptive Test	1
Benefits of the Curious Behavior of Bayesian Hierarchical Item Response Theory Models—An in-Depth Investigation and Bias Correction	1
Asymptotic Standard Errors of Parameter Scale Transformation Coefficients in Test Equating Under the Nominal Response Model	1
Predictive Fit Metrics for Item Response Models	1
On Interim Cognitive Diagnostic Computerized Adaptive Testing in Learning Context	1

Diagnostic Classification Models for a Mixture of Ordered and Non-ordered Response Options in Rating Scales	1
Bayesian Modal Estimation for the One-Parameter Logistic Ability-Based Guessing (1PL-AG) Model	1
The Potential for Interpretational Confounding in Cognitive Diagnosis Models	1
The Standardized S-X² Statistic for Assessing Item Fit	1
Empirical Priors in Polytomous Computerized Adaptive Tests: Risks and Rewards in Clinical Settings	1
Multistage Testing in Heterogeneous Populations: Some Design and Implementation Considerations	1
Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests	1
autoRasch: An R Package to Do Semi-Automated Rasch Analysis	1
Investigating the Effect of Differential Rapid Guessing on Population Invariance in Equating	1
Item Selection With Collaborative Filtering in On-The-Fly Multistage Adaptive Testing	1
Heywood Cases in Unidimensional Factor Models and Item Response Models for Binary Data	1
Examining the Performance of the Trifactor Model for Multiple Raters	1
A Comparison of Modern and Popular Approaches to Calculating Reliability for Dichotomously Scored Items	1
Assessing Dimensionality in Dichotomous Items When Many Subjects Have All-Zero Responses: An Example From Psychiatry and a Solution Using Mixture Models	1