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 2021-08-01 to 2025-08-01.)

Article	Citations
Erratum to: Meta-analytic Gaussian Network Aggregation	71
Sparse and Simple Structure Estimation via Prenet Penalization	45
Commentary: Explore Conditional Dependencies in Item Response Tree Data	42
Correction: Book Review of Item Response Theory by Bock and Gibbons	42
Noncompensatory MIRT For Passage-Based Tests	37
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes	36
On the Control of Psychological Networks	33
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma	32
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink	26
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling	26
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	23
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis	23
A Note on Ising Network Analysis with Missing Data	20
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods	19
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence	19
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	19
Semiparametric Factor Analysis for Item-Level Response Time Data	18
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology	18
Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods	17
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task	16
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)	16
Rotating Factors to Simplify Their Structural Paths	16
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75, pp. 243–248	15
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples	14
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces	13

PKLM: A Flexible MCAR Test Using Classification	13
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	12
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding	12
SRMR for Models with Covariates	12
Analysis of the Weighted Kappa and Its Maximum with Markov Moves	12
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items	12
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees	12
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices	11
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables	11
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data	11
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning	11
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	11
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 2022	10
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing	10
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment	10
Second-Order Disjoint Factor Analysis	10
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	9
Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings	9
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	9
Bayesian Analysis of the Ordinal Markov Random Field	9
A Review of “The Creation of Scientific Psychology” by David J. Murray & Stephen W. Link	9
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis	9
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models	8
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach	8
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses	8
A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test	8
Learning Large Q-Matrix by Restricted Boltzmann Machines	8
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models	8
Remarks from the Editor-in-Chief	8
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data	7
Neither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt	7
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model	7
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data	7
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity	7
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data	7
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data	7
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis	7
Examining Differential Item Functioning from a Multidimensional IRT Perspective	6
Remarks from the New Editor-in-Chief	6
Joint Latent Space Model for Social Networks with Multivariate Attributes	6
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation	6
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives	6
Modeling Eye Movements During Decision Making: A Review	6
Show Me Some ID: A Universal Identification Program for Structural Equation Models	6
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment	5
Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions	5
The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis	5
Computation and application of generalized linear mixed model derivatives using lme4	5
Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models	5
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation	5

A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates	5
Testing of Reverse Causality Using Semi-Supervised Machine Learning	5
The Generalized Cognitive Diagnosis Model Framework for Polytomous Attributes	5
A Multidimensional Model to Facilitate Within Person Comparison of Attributes	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
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory	5
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM	5
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference	5
W. H. Finch, J. E. Bolin and K. Kelley: Multilevel Modeling Using R 2nd Edition, CRC Press, 2019, 252 pp, ISBN: 9781138480674	5
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment	5