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 2021-06-01 to 2025-06-01.)

Article	Citations
Erratum to: Meta-analytic Gaussian Network Aggregation	67
Sparse and Simple Structure Estimation via Prenet Penalization	40
Correction: Book Review of Item Response Theory by Bock and Gibbons	38
Commentary: Explore Conditional Dependencies in Item Response Tree Data	38
Noncompensatory MIRT For Passage-Based Tests	37
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes	35
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma	31
On the Control of Psychological Networks	30
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling	27
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink	23
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	22
Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods	21
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis	21
Bayesian Analysis of Anova and Mixed Models on the Log-Transformed Response Variable	19
A Note on Ising Network Analysis with Missing Data	18
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods	18
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology	17
Semiparametric Factor Analysis for Item-Level Response Time Data	17
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	17
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence	16
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)	16
Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory	15
SRMR for Models with Covariates	15
Rotating Factors to Simplify Their Structural Paths	15
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items	14

Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75, pp. 243–248	13
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task	13
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	12
Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings	12
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples	12
PKLM: A Flexible MCAR Test Using Classification	12
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding	12
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing	11
Analysis of the Weighted Kappa and Its Maximum with Markov Moves	11
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis	10
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning	10
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees	10
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data	10
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables	10
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	10
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment	10
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices	10
Second-Order Disjoint Factor Analysis	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
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 2022	9
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	9
Remarks from the Editor-in-Chief	8
Learning Large Q-Matrix by Restricted Boltzmann Machines	8
Robust Inference for Mediated Effects in Partially Linear Models	8
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models	8
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models	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
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking 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
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
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach	7
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data	7
Examining Differential Item Functioning from a Multidimensional IRT Perspective	6
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity	6
Joint Latent Space Model for Social Networks with Multivariate Attributes	6
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model	6
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation	6
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM	6
Efficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses	6
Modeling Eye Movements During Decision Making: A Review	6
Show Me Some ID: A Universal Identification Program for Structural Equation Models	6
Remarks from the New Editor-in-Chief	5
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory	5
Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression	5
Testing of Reverse Causality Using Semi-Supervised Machine Learning	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

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
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
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment	5
Computation and application of generalized linear mixed model derivatives using lme4	5
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment	5