Psychometrika

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 2022-01-01 to 2026-01-01.)
ArticleCitations
Erratum to: Meta-analytic Gaussian Network Aggregation54
Sparse and Simple Structure Estimation via Prenet Penalization51
Commentary: Explore Conditional Dependencies in Item Response Tree Data46
Correction: Book Review of Item Response Theory by Bock and Gibbons42
Noncompensatory MIRT For Passage-Based Tests39
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes34
Obituary: Robert J. Mislevy (1950–2025)33
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma28
On the Control of Psychological Networks23
Semiparametric Factor Analysis for Item-Level Response Time Data21
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods21
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology21
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence19
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling18
Bayesian Structural Equation Envelope Model17
A Note on Ising Network Analysis with Missing Data17
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink17
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis16
Detecting Differential Item Functioning across Multiple Groups Using Group Pairwise Penalty16
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model15
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach15
Rotating Factors to Simplify Their Structural Paths14
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces13
Teamwork Cognitive Diagnostic Modeling13
PKLM: A Flexible MCAR Test Using Classification13
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items12
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples12
Remarks from the Editor-in-Chief12
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data12
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75, pp. 243–24812
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)12
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task12
SRMR for Models with Covariates11
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees10
A RECURSIVE STOCHASTIC ALGORITHM FOR REAL-TIME ONLINE PARAMETER ESTIMATION IN ITEM RESPONSE THEORY: ENHANCING COMPUTATIONAL EFFICIENCY FOR DYNAMIC EDUCATIONAL ASSESSMENT10
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning10
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables10
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 202210
Bayesian Analysis of the Ordinal Markov Random Field9
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data9
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices9
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment9
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data9
Bayesian Transition Diagnostic Classification Models with Polya-Gamma Augmentation9
Analysis of the Weighted Kappa and Its Maximum with Markov Moves9
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing8
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis8
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses8
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models8
Second-Order Disjoint Factor Analysis8
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data8
Enhancing Empathic Accuracy: Penalized Functional Alignment Method to Correct Temporal Misalignment in Real-Time Emotional Perception8
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments8
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding8
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models8
Learning Large Q-Matrix by Restricted Boltzmann Machines8
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach7
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data7
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data7
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data7
Remarks from the Editor-in-Chief7
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data7
Examining Differential Item Functioning from a Multidimensional IRT Perspective6
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis6
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives6
Show Me Some ID: A Universal Identification Program for Structural Equation Models6
Joint Latent Space Model for Social Networks with Multivariate Attributes6
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity6
A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals5
P. Ding (2024). A First Course in Causal Inference. Boca Raton, FL: CRC Press5
Modeling Eye Movements During Decision Making: A Review5
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 R5
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment5
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation5
A Latent Markov Model for Noninvariant Measurements: An Application to Interaction Log Data From Computer-Interactive Assessments5
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM5
Remarks from the New Editor-in-Chief5
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation5
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model5
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment5
A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates5
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