OOIR: Observatory of International Research

Papers

(The TQCC of Psychometrika is 5. 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 2021-02-01 to 2025-02-01.)

Article	Citations
A generalized factor rotation framework with customized regularization	54
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial	38
Temporally Dynamic, Cohort-Varying Value-Added Models	35
Item-Specific Factors in IRTree Models: When They Matter and When They Don’t	35
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes	33
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis	32
Rotation to Sparse Loadings Using 28
Sample Size Determination for Interval Estimation of the Prevalence of a Sensitive Attribute Under Randomized Response Models	27
Polytomous Effectiveness Indicators in Complex Problem-Solving Tasks and Their Applications in Developing Measurement Model	26
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials	25
Commentary on “Extending the Basic Local Independence Model to Polytomous Data” by Stefanutti, de Chiusole, Anselmi, and Spoto	20
Commentary: Explore Conditional Dependencies in Item Response Tree Data	19
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference	19
Measuring Agreement Using Guessing Models and Knowledge Coefficients	18
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data	18
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data	16
Sparse and Simple Structure Estimation via Prenet Penalization	16
Examining Differential Item Functioning from a Multidimensional IRT Perspective	16
Advances in CD-CAT: The General Nonparametric Item Selection Method	16
Correction: Book Review of Item Response Theory by Bock and Gibbons	16
Erratum to: A Further Comparison Of Oblique Factor Transformation Methods	15
Joint Latent Space Model for Social Networks with Multivariate Attributes	15
Modeling Eye Movements During Decision Making: A Review	15
Inferring the Number of Attributes for the Exploratory DINA Model	14
Noncompensatory MIRT For Passage-Based Tests	14

Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors	13
Guest Editors’ Introduction to the Invited Special Section	12
A Unified Neural Network Framework for Extended Redundancy Analysis	12
Efficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses	12
Guest Editors’ Introduction to the Special Issue on Forecasting with Intensive Longitudinal Data	12
Erratum to: Meta-analytic Gaussian Network Aggregation	10
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis	10
Objective Bayesian Edge Screening and Structure Selection for Ising Networks	10
Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM	10
On the Control of Psychological Networks	10
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality	10
Comments on ‘Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory’	10
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation	10
Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems	10
L. Andrires Van Der Ark, Wilco H. M. Emons, & Rob R. Meijer (2023). Essays on Contemporary Psychometrics. Springer. ISBN: 978-3-031-10370-4.	9
Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	9
Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data	9
EFFICIENT AND EFFECTIVE VARIATIONAL BAYESIAN INFERENCE METHOD FOR LOG-LINEAR COGNITIVE DIAGNOSTIC MODEL	8
Remarks from the New Editor-in-Chief	8
Assumptions and Properties of Two-Level Nonparametric Item Response Theory Models	8
Identifiability of Polychoric Models with Latent Elliptical Distributions	8
Robust and Efficient Mediation Analysis via Huber Loss	8
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köehn and Ma	8
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	7
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying	7
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods	7
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT	7
The Role of Conditional Likelihoods in Latent Variable Modeling	7
Remarks from the Editor-in-Chief	7
Correction: Book Review of Innovative Assessment of Collaboration by Davier, Shu & Kyllonen	6
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis	6
Efficient Corrections for Standardized Person-Fit Statistics	6
Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions	6
Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods	6
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework	6
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink	6
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment	6
Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments	6
Diagnosing and Handling Common Violations of Missing at Random	6
On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory	6
Using External Information for More Precise Inferences in General Regression Models	6
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation	6
On the Information Obtainable from Comparative Judgments	6
Bi-factor and Second-Order Copula Models for Item Response Data	5
Accurate Assessment via Process Data	5
Editorial to the Invited Special Section “Advancing Methods to Assess Patient-Reported Outcomes: Lessons Learned from the Patient-Reported Outcomes Measurement Information System® (PROMIS®) initiative	5
Bayesian Analysis of Anova and Mixed Models on the Log-Transformed Response Variable	5
Estimating Finite Mixtures of Ordinal Graphical Models	5
The Dependence of Chance-Corrected Weighted Agreement Coefficients on the Power Parameter of the Weighting Scheme: Analysis and Measurement	5
Item Complexity: A Neglected Psychometric Feature of Test Items?	5

On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling	5
Erratum to: Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models	5
A Censored Mixture Model for Modeling Risk Taking	5