Psychometrika

Article	Citations
Erratum to: Meta-analytic Gaussian Network Aggregation	54
Sparse and Simple Structure Estimation via Prenet Penalization	51
Commentary: Explore Conditional Dependencies in Item Response Tree Data	46
Correction: Book Review of Item Response Theory by Bock and Gibbons	42
Noncompensatory MIRT For Passage-Based Tests	39
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes	34
Obituary: Robert J. Mislevy (1950–2025)	33
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma	28
On the Control of Psychological Networks	23
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods	21
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology	21
Semiparametric Factor Analysis for Item-Level Response Time Data	21
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence	19
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling	18
A Note on Ising Network Analysis with Missing Data	17
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink	17
Bayesian Structural Equation Envelope Model	17
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis	16
Detecting Differential Item Functioning across Multiple Groups Using Group Pairwise Penalty	16
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	15
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	15
Rotating Factors to Simplify Their Structural Paths	14
Teamwork Cognitive Diagnostic Modeling	13
PKLM: A Flexible MCAR Test Using Classification	13
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces	13

Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	12
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75, pp. 243–248	12
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 Task	12
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items	12
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples	12
Remarks from the Editor-in-Chief	12
SRMR for Models with Covariates	11
A RECURSIVE STOCHASTIC ALGORITHM FOR REAL-TIME ONLINE PARAMETER ESTIMATION IN ITEM RESPONSE THEORY: ENHANCING COMPUTATIONAL EFFICIENCY FOR DYNAMIC EDUCATIONAL ASSESSMENT	10
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning	10
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables	10
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 2022	10
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees	10
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
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
Analysis of the Weighted Kappa and Its Maximum with Markov Moves	9
Bayesian Analysis of the Ordinal Markov Random Field	9
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data	9
Second-Order Disjoint Factor Analysis	8
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	8
Enhancing Empathic Accuracy: Penalized Functional Alignment Method to Correct Temporal Misalignment in Real-Time Emotional Perception	8
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	8
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding	8
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models	8
Learning Large Q-Matrix by Restricted Boltzmann Machines	8
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing	8
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis	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	8
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data	7
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data	7
Remarks from the Editor-in-Chief	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
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach	7
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data	7
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives	6
Show Me Some ID: A Universal Identification Program for Structural Equation Models	6
Joint Latent Space Model for Social Networks with Multivariate Attributes	6
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity	6
Examining Differential Item Functioning from a Multidimensional IRT Perspective	6
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis	6
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment	5
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation	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
Remarks from the New Editor-in-Chief	5
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation	5
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model	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
A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals	5
P. Ding (2024). A First Course in Causal Inference. Boca Raton, FL: CRC Press	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
The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis	4
Computation and application of generalized linear mixed model derivatives using lme4	4
Ignoring Non-ignorable Missingness	4
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model	4
W. H. Finch, J. E. Bolin and K. Kelley: Multilevel Modeling Using R 2nd Edition, CRC Press, 2019, 252 pp, ISBN: 9781138480674	4
Testing of Reverse Causality Using Semi-Supervised Machine Learning	4
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)	4
The Generalized Cognitive Diagnosis Model Framework for Polytomous Attributes	4
The Interval Consensus Model: Aggregating Continuous Bounded Interval Responses	4
Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models	4
Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models	4
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference	4
REDUCING DIFFERENTIAL ITEM FUNCTIONING VIA PROCESS DATA	4
Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment	4
A Multidimensional Model to Facilitate Within Person Comparison of Attributes	4
Logistic Multidimensional Data Analysis for Ordinal Response Variables Using a Cumulative Link Function	4
Detecting Changes in Correlation Networks with Application to Functional Connectivity of FMRI Data	3
Bayesian Mixture Model of Extended Redundancy Analysis	3
Procrustes Analysis for High-Dimensional Data	3
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application	3
Are Sum Scores a Great Accomplishment of Psychometrics or Intuitive Test Theory?	3
Bayesian Adaptive Lasso for Detecting Item–Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models	3
Review of An Introduction to Psychometrics and Psychological Assessment (2nd Edition) by Cooper (2023)	3
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation	3
Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models	3
Correction to: Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes	3
Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective	3
Every Trait Counts: Marginal Maximum Likelihood Estimation for Novel Multidimensional Count Data Item Response Models with Rotation or $\boldsymbol{\ell}_{\mathbf{1}}$ –Regularization for Simple Stru	3
Erratum to: Rejoinder to Commentaries on Lyu, Bolt and Westby’s “Exploring the Effects of Item Specific Factors in Sequential and IRTree Models”	3
Ultrametric Factor Analysis for Building Hierarchies of Reliable and Unidimensional Latent Concepts	3
Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation	3
Rejoinder to McNeish and Mislevy: What Does Psychological Measurement Require?	3
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data	2
A Generalized Definition of Multidimensional Item Response Theory Parameters	2
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses	2
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials	2
Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests	2
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework	2
Identifiability of Polychoric Models with Latent Elliptical Distributions	2
Accounting for Persistence in Tests with Linear Ballistic Accumulator Models	2
A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models	2
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors	2
Differential Item Functioning via Robust Scaling	2
Using External Information for More Precise Inferences in General Regression Models	2
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models	2
Explaining Performance Gaps with Problem-Solving Process Data via Latent Class Mediation Analysis	2
Review of Applied Causal Inference Powered by ML and AI by V. Chernozhukov & C. Hansen & N. Kallus & M. Spindler & V. Syrgkanis (2025). arXiv:2403.02467. https://causalml-book.org/	2
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality	2
Psychometric Model Framework for Multiple Response Items	2
Estimating Finite Mixtures of Ordinal Graphical Models	2
A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times	2
Accurate Assessment via Process Data	2
Remarks from the Editor-in-Chief	2
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis	2
A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models	1
Evidence Factors in Fuzzy Regression Discontinuity Designs with Sequential Treatment Assignments	1
Remarks From the Editor-in-Chief	1
Fitting and Testing Log-Linear Subpopulation Models with Known Support	1
Diagnostic Classification Models for Testlets: Methods and Theory	1
Variational Estimation for Multidimensional Generalized Partial Credit Model	1
Factor Tree Copula Models for Item Response Data	1
Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference	1
Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring	1
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying	1
Temporally Dynamic, Cohort-Varying Value-Added Models	1
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial	1
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes	1
Robust Inference for Generalized Linear Mixed Models: A “Two-Stage Summary Statistics” Approach Based on Score Sign Flipping	1
Bayesian Joint Modeling of Response Times with Dynamic Latent Ability in Educational Testing	1
Correction: Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser	1
Exact Exploratory Bi-factor Analysis: A Constraint-Based Optimization Approach	1
A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model	1
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data	1
M. Wiberg, J. González & A. A. von Davier (2024). Generalized Kernel Equating with Applications in R	1

Item Response Models for Rating Relational Data	1
Rotation to Sparse Loadings Using 1
Robust and Efficient Mediation Analysis via Huber Loss	1
An Optimally Regularized Estimator of Multilevel Latent Variable Models with Improved MSE Performance	1
Generalized Latent Variable Models for Location, Scale, and Shape parameters	1
New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data	1
Multidimensional Item Response Theory in the Style of Collaborative Filtering	1
Incorporating Functional Response Time Effects into a Signal Detection Theory Model	1
Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses	1
Ordinal Outcome State-Space Models for Intensive Longitudinal Data	1
A Novel Method for Detecting Intersectional DIF: Multilevel Random Item Effects Model with Regularized Gaussian Variational Estimation	1
Book Review of the Handbook of Graphical Models - Maathuis Marloes, Drton Matthias, Lauritzen Steffen AND Wainwright Martin(Eds.), CRC PRESS, (2019). Handbook of Graphical Models	1
Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality	1
Diagnosing and Handling Common Violations of Missing at Random	1
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes	1
Extended Asymptotic Identifiability of Nonparametric Item Response Models	1
Remarks from the Editor-in-Chief	1
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference	1
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm	1