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 2021-04-01 to 2025-04-01.)

Article	Citations
A generalized factor rotation framework with customized regularization	63
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial	39
Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	37
Modeling Eye Movements During Decision Making: A Review	36
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model	35
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma	31
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes	29
Advances in CD-CAT: The General Nonparametric Item Selection Method	28
Sample Size Determination for Interval Estimation of the Prevalence of a Sensitive Attribute Under Randomized Response Models	27
Guest Editors’ Introduction to the Invited Special Section	21
Guest Editors’ Introduction to the Special Issue on Forecasting with Intensive Longitudinal Data	20
Multidimensional Latent Space Item Response Models: A Note on the Relativity of Conditional Dependence	19
Comments on ‘Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory’	19
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality	18
Efficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses	18
Noncompensatory MIRT For Passage-Based Tests	17
Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data	16
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors	15
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data	15
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation	15
Objective Bayesian Edge Screening and Structure Selection for Ising Networks	15
Commentary on “Extending the Basic Local Independence Model to Polytomous Data” by Stefanutti, de Chiusole, Anselmi, and Spoto	14
Sparse and Simple Structure Estimation via Prenet Penalization	13
A Unified Neural Network Framework for Extended Redundancy Analysis	13
Erratum to: Meta-analytic Gaussian Network Aggregation	13

Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data	12
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis	12
Rotation to Sparse Loadings Using 11
Item-Specific Factors in IRTree Models: When They Matter and When They Don’t	11
Temporally Dynamic, Cohort-Varying Value-Added Models	10
Joint Latent Space Model for Social Networks with Multivariate Attributes	10
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference	10
Polytomous Effectiveness Indicators in Complex Problem-Solving Tasks and Their Applications in Developing Measurement Model	10
Measuring Agreement Using Guessing Models and Knowledge Coefficients	10
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials	10
Examining Differential Item Functioning from a Multidimensional IRT Perspective	10
Commentary: Explore Conditional Dependencies in Item Response Tree Data	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.	10
Correction: Book Review of Item Response Theory by Bock and Gibbons	9
On the Control of Psychological Networks	9
Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems	9
On the Information Obtainable from Comparative Judgments	8
The Dependence of Chance-Corrected Weighted Agreement Coefficients on the Power Parameter of the Weighting Scheme: Analysis and Measurement	8
ProcData: An R Package for Process Data Analysis	8
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework	8
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data	8
Accurate Assessment via Process Data	7
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models	7
Erratum to: Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models	7
Semiparametric Factor Analysis for Item-Level Response Time Data	7
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT	7
Diagnosing and Handling Common Violations of Missing at Random	6
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation	6
Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests	6
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying	6
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	6
A Note on Improving Variational Estimation for Multidimensional Item Response Theory	6
Efficient Corrections for Standardized Person-Fit Statistics	6
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis	6
Bi-factor and Second-Order Copula Models for Item Response Data	6
Using External Information for More Precise Inferences in General Regression Models	6
The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses	6
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment	6
On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory	6
K. Sijtsma and A. L. Van Der Ark (2020): A Review of “Measurement Models for Psychological Attributes” CRC Press. 400 pp, $79.95 (paperback), $199.95 (hardback), $71.95 (eBook), ISBN: 9780367424527	5
Estimating Finite Mixtures of Ordinal Graphical Models	5
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods	5
Identifiability of Polychoric Models with Latent Elliptical Distributions	5
On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling	5
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence	5
Item Complexity: A Neglected Psychometric Feature of Test Items?	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
The Role of Conditional Likelihoods in Latent Variable Modeling	5
Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models	5

A Censored Mixture Model for Modeling Risk Taking