Psychometrika

Article	Citations
Commentary: Explore Conditional Dependencies in Item Response Tree Data	59
Noncompensatory MIRT For Passage-Based Tests	57
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes	49
Sparse and Simple Structure Estimation via Prenet Penalization	45
Obituary: Robert J. Mislevy (1950–2025)	25
Correction: Book Review of Item Response Theory by Bock and Gibbons	25
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma	24
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	22
Spectral Clustering with Likelihood Refinement for High-Dimensional Latent Class Recovery	21
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling	20
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis	19
Bayesian Structural Equation Envelope Model	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
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology	17
Semiparametric Factor Analysis for Item-Level Response Time Data	17
Detecting Differential Item Functioning across Multiple Groups Using Group Pairwise Penalty	17
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	15
Rotating Factors to Simplify Their Structural Paths	15
Toward Generalizable Estimation of Behavioral Models with Parameter Dependencies	14
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples	14
Teamwork Cognitive Diagnostic Modeling	14
SRMR for Models with Covariates	14
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces	14
Remarks from the Editor-in-Chief	13

A Recursive Stochastic Algorithm for Real-Time Online Parameter Estimation in Item Response Theory: Enhancing Computational Efficiency for Dynamic Educational Assessment	13
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task	13
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75 , pp.	13
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)	13
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	12
Deep Computerized Adaptive Testing	11
PKLM: A Flexible MCAR Test Using Classification	11
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items	11
AN ITERATIVE GLMM–XGBOOST ALGORITHM WITH GROUP-AWARE CONDITIONAL PERMUTATION IMPORTANCE FOR EXPLAINING MULTILEVEL ITEM RESPONSE DATA	11
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning	10
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 2022	10
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data	10
Does X at Time 1 Cause Y at Time 2? Longitudinal Causal Learning with Hidden Confounders	10
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees	10
Remarks from the Editor-in-Chief	9
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	9
Bayesian Analysis of the Ordinal Markov Random Field	9
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables	9
Analysis of the Weighted Kappa and Its Maximum with Markov Moves	9
Bayesian Transition Diagnostic Classification Models with Polya-Gamma Augmentation	8
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	8
Identification and Scaling of Latent Variables in Ordinal Factor Analysis	8
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing	8
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment	8
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	8
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis	8
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices	8
A Likelihood-Based Profile Shrinkage Algorithm for Efficient Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT)	8
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models	7
Learning Large Q-Matrix by Restricted Boltzmann Machines	7
Regularized Joint Maximum Likelihood Estimation of Latent Space Item Response Models	7
Enhancing Empathic Accuracy: Penalized Functional Alignment Method to Correct Temporal Misalignment in Real-Time Emotional Perception	7
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models	7
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses	7
Remarks from the Editor-in-Chief	7
Detecting Test Speededness Using Responses and/or Response Times: Change Point Analysis Approaches Based on Schwarz Information Criterion	6
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach	6
A Latent Markov Model for Noninvariant Measurements: An Application to Interaction Log Data From Computer-Interactive Assessments	6
Remarks from the Editor-in-Chief	6
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity	6
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives	6
From Digital Data to Psychological Insights: Making Sense of Mobile-Sensing Data through Integrative Preprocessing Pipelines	6
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data	6
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data	6
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data	6
A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals	5
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model	5
Examining Differential Item Functioning from a Multidimensional IRT Perspective	5
Joint Latent Space Model for Social Networks with Multivariate Attributes	5
A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates	5

Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis	5
Show Me Some ID: A Universal Identification Program for Structural Equation Models	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
Remarks from the New Editor-in-Chief	5
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment	5
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation	5
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data	5
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM	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
Uncovering Latent Structures: A Bayesian Approach to Estimating Q-Matrix and Attribute Hierarchies in Cognitive Diagnostic Models	5
Testing of Reverse Causality Using Semi-Supervised Machine Learning	4
The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis	4
Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models	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
The Generalized Cognitive Diagnosis Model Framework for Polytomous Attributes	4
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment	4
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference	4
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation	4
Computation and application of generalized linear mixed model derivatives using lme4	4
A Multidimensional Model to Facilitate Within Person Comparison of Attributes	4
Ignoring Non-ignorable Missingness	3
Reducing Differential Item Functioning via Process Data	3
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model	3
Detecting Changes in Correlation Networks with Application to Functional Connectivity of FMRI Data	3
Are Sum Scores a Great Accomplishment of Psychometrics or Intuitive Test Theory?	3
Bayesian Mixture Model of Extended Redundancy Analysis	3
Logistic Multidimensional Data Analysis for Ordinal Response Variables Using a Cumulative Link Function	3
The Interval Consensus Model: Aggregating Continuous Bounded Interval Responses	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
Rejoinder to McNeish and Mislevy: What Does Psychological Measurement Require?	3
Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective	3
Analyzing Complex Educational Data: A Data Analytic Framework for Integrating Structured and Unstructured Eye-Tracking Data	3
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)	3
Navigating Cognitive Maps: Statistical Analysis of 3D Path Data in Minecraft	3
Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment	3
On the Modeling of Local Dependence	3
Review of An Introduction to Psychometrics and Psychological Assessment (2nd Edition) by Cooper (2023)	3
Identifiability of Polychoric Models with Latent Elliptical Distributions	2
Using External Information for More Precise Inferences in General Regression Models	2
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials	2
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses	2
Psychometric Model Framework for Multiple Response Items	2
Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models	2
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data	2
Procrustes Analysis for High-Dimensional Data	2
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models	2
A Generalized Definition of Multidimensional Item Response Theory Parameters	2
Diagnosing and Handling Common Violations of Missing at Random	2
Remarks from the Editor-in-Chief	2
A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models	2
Bayesian Adaptive Lasso for Detecting Item–Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models	2
A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times	2
Erratum to: Rejoinder to Commentaries on Lyu, Bolt and Westby’s “Exploring the Effects of Item Specific Factors in Sequential and IRTree Models”	2
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application	2
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation	2
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors	2
Explaining Performance Gaps with Problem-Solving Process Data via Latent Class Mediation Analysis	2
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework	2
Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests	2
Accounting for Persistence in Tests with Linear Ballistic Accumulator Models	2
A Tutorial on Estimating the Precision of Individual Test Scores for Anyone Constructing and Using Psychological Tests	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
Differential Item Functioning via Robust Scaling	2
Correction to: Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes	2
Ultrametric Factor Analysis for Building Hierarchies of Reliable and Unidimensional Latent Concepts	2
Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation	2
Matching Criterion for Identifiability in Sparse Factor Analysis	2
Accurate Assessment via Process Data	2
Estimating Latent Distribution of Item Response Theory Using Kernel Density Method	2
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis	2
A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models	1
Incorporating Functional Response Time Effects into a Signal Detection Theory Model	1
Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality	1
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes	1
Exact Exploratory Bi-factor Analysis: A Constraint-Based Optimization Approach	1
Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses	1
Extended Asymptotic Identifiability of Nonparametric Item Response Models	1
Correction: Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser	1
Robust and Efficient Mediation Analysis via Huber Loss	1

Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data	1
A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model	1
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference	1
Fairness Issues and Evaluation in Psychometrics and AI/ML: What Can We Learn from Each Field?	1
The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses	1
Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring	1
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes	1
Temporally Dynamic, Cohort-Varying Value-Added Models	1
Quadratically Weighted Agreement Coefficients: Interpretations and Connections	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
Variational Estimation for Multidimensional Generalized Partial Credit Model	1
Bayesian Covariance Modeling of Differential Item Functioning	1
Bayesian Joint Modeling of Response Times with Dynamic Latent Ability in Educational Testing	1
New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data	1
Evidence Factors in Fuzzy Regression Discontinuity Designs with Sequential Treatment Assignments	1
A Hierarchical Gaussian Process Approach to Understanding Mental Health Trajectories via Item Response Theory Models	1
Remarks from the Editor-in-Chief	1
Item Response Models for Rating Relational Data	1
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial	1
Enhancing Two-Stage Estimation in Differential Equation Models: A Bias-Correction Method via Stochastic Approximation	1
Maximum Softly Penalized Likelihood in Factor Analysis	1
A Novel Method for Detecting Intersectional DIF: Multilevel Random Item Effects Model with Regularized Gaussian Variational Estimation	1
Robust Inference for Generalized Linear Mixed Models: A “Two-Stage Summary Statistics” Approach Based on Score Sign Flipping	1
Factor Tree Copula Models for Item Response Data	1
M. Wiberg, J. González & A. A. von Davier (2024). Generalized Kernel Equating with Applications in R	1
Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference	1
Remarks From the Editor-in-Chief	1
Diagnostic Classification Models for Testlets: Methods and Theory	1
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying	1
Fitting and Testing Log-Linear Subpopulation Models with Known Support	1
Ordinal Outcome State-Space Models for Intensive Longitudinal Data	1
Rotation to Sparse Loadings Using 1
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm	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