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 2022-08-01 to 2026-08-01.)

Article	Citations
Commentary: Explore Conditional Dependencies in Item Response Tree Data	62
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes	57
Correction: Book Review of Item Response Theory by Bock and Gibbons	27
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
Obituary: Robert J. Mislevy (1950–2025)	23
Revelle’s Beta: The Wait Is Over—Computation Becomes Possible	23
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis	21
A Note on Ising Network Analysis with Missing Data	20
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink	19
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling	18
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	17
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology	16
Bayesian Structural Equation Envelope Model	16
Spectral Clustering with Likelihood Refinement for High-Dimensional Latent Class Recovery	16
Detecting Differential Item Functioning across Multiple Groups Using Group Pairwise Penalty	16
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)	15
SRMR for Models with Covariates	15
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75 , pp.	15
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task	15
A-optimal designs for Rasch Poisson Gamma counts models	15
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples	15
Rotating Factors to Simplify Their Structural Paths	15
PKLM: A Flexible MCAR Test Using Classification	14

Toward Generalizable Estimation of Behavioral Models with Parameter Dependencies	12
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items	12
Does X at Time 1 Cause Y at Time 2? Longitudinal Causal Learning with Hidden Confounders	12
An Iterative GLMM–XGBoost Algorithm with Group-Aware Conditional Permutation Importance for Explaining Multilevel Item Response Data	12
Deep Computerized Adaptive Testing	11
Remarks from the Editor-in-Chief	11
A Recursive Stochastic Algorithm for Real-Time Online Parameter Estimation in Item Response Theory: Enhancing Computational Efficiency for Dynamic Educational Assessment	11
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 2022	10
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	10
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces	10
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning	10
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis	10
Teamwork Cognitive Diagnostic Modeling	10
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables	10
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing	9
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices	9
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment	9
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data	9
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees	9
Bayesian Analysis of the Ordinal Markov Random Field	9
Analysis of the Weighted Kappa and Its Maximum with Markov Moves	9
Bayesian Transition Diagnostic Classification Models with Polya-Gamma Augmentation	8
Remarks from the Editor-in-Chief	8
Identification and Scaling of Latent Variables in Ordinal Factor Analysis	8
Regularized Joint Maximum Likelihood Estimation of Latent Space Item Response Models	8
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	8
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses	8
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models	7
From Digital Data to Psychological Insights: Making Sense of Mobile-Sensing Data through Integrative Preprocessing Pipelines	7
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	7
Enhancing Empathic Accuracy: Penalized Functional Alignment Method to Correct Temporal Misalignment in Real-Time Emotional Perception	7
Learning Large Q -Matrix by Restricted Boltzmann Machines	7
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation	6
Examining Differential Item Functioning from a Multidimensional IRT Perspective	6
Detecting Test Speededness Using Responses and/or Response Times: Change Point Analysis Approaches Based on Schwarz Information Criterion	6
Remarks from the Editor-in-Chief	6
Capturing Heterogeneity in Levels, Variability, and Couplings across Persons and Time with a Hierarchical Time-Varying Coefficient Formulation of the Multivariate Normal	6
Joint Latent Space Model for Social Networks with Multivariate Attributes	6
Modeling Eye Movements During Decision Making: A Review	6
A Likelihood-Based Profile Shrinkage Algorithm for Efficient Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT)	6
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach	6
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis	6
Show Me Some ID: A Universal Identification Program for Structural Equation Models	6
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives	6
Remarks from the Editor-in-Chief	6
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data	6
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data	6
P. Ding (2024). A First Course in Causal Inference. Boca Raton, FL: CRC Press	5
A Latent Markov Model for Noninvariant Measurements: An Application to Interaction Log Data From Computer-Interactive Assessments	5
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM	5

Uncovering Latent Structures: A Bayesian Approach to Estimating Q-Matrix and Attribute Hierarchies in Cognitive Diagnostic Models	5
The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis	5
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model	5
Remarks from the New Editor-in-Chief	5
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation	5
A Robust Bootstrap-CUSUM Method for Detecting Test Speededness and Pinpointing Changepoints in Computerized Testing	5
Computation and application of generalized linear mixed model derivatives using lme4	5
A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals	5
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity	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
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment	5
A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates	5
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment	5