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 2022-06-01 to 2026-06-01.)

Article	Citations
Commentary: Explore Conditional Dependencies in Item Response Tree Data	61
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes	59
Obituary: Robert J. Mislevy (1950–2025)	53
Correction: Book Review of Item Response Theory by Bock and Gibbons	48
Noncompensatory MIRT For Passage-Based Tests	26
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma	26
Sparse and Simple Structure Estimation via Prenet Penalization	24
Revelle’s Beta: The Wait Is Over—Computation Becomes Possible	23
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology	22
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis	21
Bayesian Structural Equation Envelope Model	21
Semiparametric Factor Analysis for Item-Level Response Time Data	19
A Note on Ising Network Analysis with Missing Data	18
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	17
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	17
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink	17
Detecting Differential Item Functioning across Multiple Groups Using Group Pairwise Penalty	17
Rotating Factors to Simplify Their Structural Paths	15
Teamwork Cognitive Diagnostic Modeling	15
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling	15
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces	15
Spectral Clustering with Likelihood Refinement for High-Dimensional Latent Class Recovery	15
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75 , pp.	14
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task	14
Remarks from the Editor-in-Chief	14

Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples	14
PKLM: A Flexible MCAR Test Using Classification	13
A Recursive Stochastic Algorithm for Real-Time Online Parameter Estimation in Item Response Theory: Enhancing Computational Efficiency for Dynamic Educational Assessment	13
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items	13
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)	13
Does X at Time 1 Cause Y at Time 2? Longitudinal Causal Learning with Hidden Confounders	12
Deep Computerized Adaptive Testing	12
An Iterative GLMM–XGBoost Algorithm with Group-Aware Conditional Permutation Importance for Explaining Multilevel Item Response Data	12
Toward Generalizable Estimation of Behavioral Models with Parameter Dependencies	11
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning	11
SRMR for Models with Covariates	11
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 2022	11
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	11
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data	10
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees	10
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables	9
Bayesian Analysis of the Ordinal Markov Random Field	9
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis	9
Remarks from the Editor-in-Chief	9
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices	9
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	9
Bayesian Transition Diagnostic Classification Models with Polya-Gamma Augmentation	9
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	8
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models	8
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing	8
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	8
Identification and Scaling of Latent Variables in Ordinal Factor Analysis	8
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment	8
Enhancing Empathic Accuracy: Penalized Functional Alignment Method to Correct Temporal Misalignment in Real-Time Emotional Perception	8
Analysis of the Weighted Kappa and Its Maximum with Markov Moves	8
From Digital Data to Psychological Insights: Making Sense of Mobile-Sensing Data through Integrative Preprocessing Pipelines	7
Detecting Test Speededness Using Responses and/or Response Times: Change Point Analysis Approaches Based on Schwarz Information Criterion	7
Remarks from the Editor-in-Chief	7
Learning Large Q -Matrix by Restricted Boltzmann Machines	7
Regularized Joint Maximum Likelihood Estimation of Latent Space Item Response Models	7
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses	7
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach	6
A Likelihood-Based Profile Shrinkage Algorithm for Efficient Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT)	6
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives	6
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models	6
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data	6
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity	6
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model	6
Remarks from the Editor-in-Chief	6
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data	6
A Latent Markov Model for Noninvariant Measurements: An Application to Interaction Log Data From Computer-Interactive Assessments	6
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data	6
Remarks from the New Editor-in-Chief	5
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment	5
A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals	5

A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates	5
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation	5
Show Me Some ID: A Universal Identification Program for Structural Equation Models	5
Modeling Eye Movements During Decision Making: A Review	5
As reported by P. Martinková, & A. Hladká, ((Computational Aspects of Psychometric Methods: With R. Boca Raton, CRC Press, FL, 2023). Computational Aspects of Psychometric Methods: With R.. Boca R	5
A Robust Bootstrap-CUSUM Method for Detecting Test Speededness and Pinpointing Changepoints in Computerized Testing	5
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data	5
Joint Latent Space Model for Social Networks with Multivariate Attributes	5
Uncovering Latent Structures: A Bayesian Approach to Estimating Q-Matrix and Attribute Hierarchies in Cognitive Diagnostic Models	5
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM	5
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis	5
Examining Differential Item Functioning from a Multidimensional IRT Perspective	5
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation	5
P. Ding (2024). A First Course in Causal Inference. Boca Raton, FL: CRC Press	5