Psychometrika

Papers
(The median citation count of Psychometrika is 1. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Commentary: Explore Conditional Dependencies in Item Response Tree Data61
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes59
Obituary: Robert J. Mislevy (1950–2025)53
Correction: Book Review of Item Response Theory by Bock and Gibbons48
Noncompensatory MIRT For Passage-Based Tests26
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma26
Sparse and Simple Structure Estimation via Prenet Penalization24
Revelle’s Beta: The Wait Is Over—Computation Becomes Possible23
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology22
Bayesian Structural Equation Envelope Model21
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis21
Semiparametric Factor Analysis for Item-Level Response Time Data19
A Note on Ising Network Analysis with Missing Data18
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach17
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model17
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink17
Detecting Differential Item Functioning across Multiple Groups Using Group Pairwise Penalty17
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces15
Spectral Clustering with Likelihood Refinement for High-Dimensional Latent Class Recovery15
Rotating Factors to Simplify Their Structural Paths15
Teamwork Cognitive Diagnostic Modeling15
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling15
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples14
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75 , pp. 14
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task14
Remarks from the Editor-in-Chief14
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items13
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)13
PKLM: A Flexible MCAR Test Using Classification13
A Recursive Stochastic Algorithm for Real-Time Online Parameter Estimation in Item Response Theory: Enhancing Computational Efficiency for Dynamic Educational Assessment13
An Iterative GLMM–XGBoost Algorithm with Group-Aware Conditional Permutation Importance for Explaining Multilevel Item Response Data12
Does X at Time 1 Cause Y at Time 2? Longitudinal Causal Learning with Hidden Confounders12
Deep Computerized Adaptive Testing12
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data11
Toward Generalizable Estimation of Behavioral Models with Parameter Dependencies11
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning11
SRMR for Models with Covariates11
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 202211
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees10
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data10
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
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables9
Bayesian Analysis of the Ordinal Markov Random Field9
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis9
Remarks from the Editor-in-Chief9
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices9
Enhancing Empathic Accuracy: Penalized Functional Alignment Method to Correct Temporal Misalignment in Real-Time Emotional Perception8
Analysis of the Weighted Kappa and Its Maximum with Markov Moves8
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data8
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models8
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing8
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments8
Identification and Scaling of Latent Variables in Ordinal Factor Analysis8
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment8
Regularized Joint Maximum Likelihood Estimation of Latent Space Item Response Models7
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses7
From Digital Data to Psychological Insights: Making Sense of Mobile-Sensing Data through Integrative Preprocessing Pipelines7
Detecting Test Speededness Using Responses and/or Response Times: Change Point Analysis Approaches Based on Schwarz Information Criterion7
Remarks from the Editor-in-Chief7
Learning Large Q -Matrix by Restricted Boltzmann Machines7
Remarks from the Editor-in-Chief6
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data6
A Latent Markov Model for Noninvariant Measurements: An Application to Interaction Log Data From Computer-Interactive Assessments6
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data6
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach6
A Likelihood-Based Profile Shrinkage Algorithm for Efficient Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT)6
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives6
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models6
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data6
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity6
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model6
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM5
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis5
Examining Differential Item Functioning from a Multidimensional IRT Perspective5
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation5
P. Ding (2024). A First Course in Causal Inference. Boca Raton, FL: CRC Press5
Remarks from the New Editor-in-Chief5
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
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation5
Show Me Some ID: A Universal Identification Program for Structural Equation Models5
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
A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals5
A Robust Bootstrap-CUSUM Method for Detecting Test Speededness and Pinpointing Changepoints in Computerized Testing5
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data5
Joint Latent Space Model for Social Networks with Multivariate Attributes5
Uncovering Latent Structures: A Bayesian Approach to Estimating Q-Matrix and Attribute Hierarchies in Cognitive Diagnostic Models5
Logistic Multidimensional Data Analysis for Ordinal Response Variables Using a Cumulative Link Function4
Computation and application of generalized linear mixed model derivatives using lme44
Testing of Reverse Causality Using Semi-Supervised Machine Learning4
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model4
A Multidimensional Model to Facilitate Within Person Comparison of Attributes4
The Generalized Cognitive Diagnosis Model Framework for Polytomous Attributes4
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment4
Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models4
Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models4
The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis4
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference4
Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment4
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)3
Reducing Differential Item Functioning via Process Data3
Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective3
Bayesian Modeling and Inference for Item Response Model with Nonignorable Missing Data3
On the Modeling of Local Dependence3
Detecting Changes in Correlation Networks with Application to Functional Connectivity of FMRI Data3
Analyzing Complex Educational Data: A Data Analytic Framework for Integrating Structured and Unstructured Eye-Tracking Data3
Navigating Cognitive Maps: Statistical Analysis of 3D Path Data in Minecraft3
Review of An Introduction to Psychometrics and Psychological Assessment (2nd Edition) by Cooper (2023)3
Are Sum Scores a Great Accomplishment of Psychometrics or Intuitive Test Theory?3
Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation3
The Interval Consensus Model: Aggregating Continuous Bounded Interval Responses3
Ignoring Non-ignorable Missingness3
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 Stru3
Rejoinder to McNeish and Mislevy: What Does Psychological Measurement Require?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
Remarks from the Editor-in-Chief2
A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models2
A Generalized Definition of Multidimensional Item Response Theory Parameters2
A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times2
Correction to: Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes2
Differential Item Functioning via Robust Scaling2
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials2
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses2
Estimating Latent Distribution of Item Response Theory Using Kernel Density Method2
Explaining Performance Gaps with Problem-Solving Process Data via Latent Class Mediation Analysis2
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models2
Accounting for Persistence in Tests with Linear Ballistic Accumulator Models2
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
Guest Editors’ Introduction to the Special Section on Integrating and Analyzing Complex High-Dimensional Data in Social and Behavioral Sciences Research2
Matching Criterion for Identifiability in Sparse Factor Analysis2
Procrustes Analysis for High-Dimensional Data2
Ultrametric Factor Analysis for Building Hierarchies of Reliable and Unidimensional Latent Concepts2
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation2
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors2
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework2
Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests2
Identifiability of Polychoric Models with Latent Elliptical Distributions2
Using External Information for More Precise Inferences in General Regression Models2
Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models2
A Tutorial on Estimating the Precision of Individual Test Scores for Anyone Constructing and Using Psychological Tests2
Psychometric Model Framework for Multiple Response Items2
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application2
Bayesian Mixture Model of Extended Redundancy Analysis2
Bayesian Adaptive Lasso for Detecting Item–Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models2
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data - NJ Wiley Hoboken, 2020, 464 pp, $98.95 (hardcover), $79.00 (eBook), Print ISBN: 9780470526798, Online ISBN: 978111948222
Accurate Assessment via Process Data2
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis2
Diagnosing and Handling Common Violations of Missing at Random2
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes1
Book Review of the Handbook of Graphical Models - Maathuis Marloes, Drton Matthias, Lauritzen Steffen AND Wainwright Martin(Eds.), CRC PRESS, (2019). Handbook of Graphical Model1
A Novel Method for Detecting Intersectional DIF: Multilevel Random Item Effects Model with Regularized Gaussian Variational Estimation1
Item Response Models for Rating Relational Data1
Factor Tree Copula Models for Item Response Data1
Bayesian Covariance Modeling of Differential Item Functioning1
The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses1
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying1
Rotation to Sparse Loadings Using 1
Evidence Factors in Fuzzy Regression Discontinuity Designs with Sequential Treatment Assignments1
An Optimally Regularized Estimator of Multilevel Latent Variable Models with Improved MSE Performance1
Correction: Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser1
Temporally Dynamic, Cohort-Varying Value-Added Models1
Extended Asymptotic Identifiability of Nonparametric Item Response Models1
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm1
New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data1
Ordinal Outcome State-Space Models for Intensive Longitudinal Data1
Maximum Softly Penalized Likelihood in Factor Analysis1
Quadratically Weighted Agreement Coefficients: Interpretations and Connections1
Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality1
Exact Exploratory Bi-factor Analysis: A Constraint-Based Optimization Approach1
Remarks From the Editor-in-Chief1
Robust and Efficient Mediation Analysis via Huber Loss1
Variational Estimation for Multidimensional Generalized Partial Credit Model1
Fairness Issues and Evaluation in Psychometrics and AI/ML: What Can We Learn from Each Field?1
Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses1
Enhancing Two-Stage Estimation in Differential Equation Models: A Bias-Correction Method via Stochastic Approximation1
Fitting and Testing Log-Linear Subpopulation Models with Known Support1
Incorporating Functional Response Time Effects into a Signal Detection Theory Model1
Robust Inference for Generalized Linear Mixed Models: A “Two-Stage Summary Statistics” Approach Based on Score Sign Flipping1
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data1
A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models1
A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model1
A Hierarchical Gaussian Process Approach to Understanding Mental Health Trajectories via Item Response Theory Models1
M. Wiberg, J. González & A. A. von Davier (2024). Generalized Kernel Equating with Applications in R1
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes1
Generalized Latent Variable Models for Location, Scale, and Shape parameters1
Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items1
Remarks from the Editor-in-Chief1
Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference1
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference1
Diagnostic Classification Models for Testlets: Methods and Theory1
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial1
Bayesian Joint Modeling of Response Times with Dynamic Latent Ability in Educational Testing1
Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring1
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