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 2022-05-01 to 2026-05-01.)
ArticleCitations
Commentary: Explore Conditional Dependencies in Item Response Tree Data59
Noncompensatory MIRT For Passage-Based Tests57
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes49
Sparse and Simple Structure Estimation via Prenet Penalization45
Obituary: Robert J. Mislevy (1950–2025)25
Correction: Book Review of Item Response Theory by Bock and Gibbons25
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma24
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model22
Spectral Clustering with Likelihood Refinement for High-Dimensional Latent Class Recovery21
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling20
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis19
Bayesian Structural Equation Envelope Model18
A Note on Ising Network Analysis with Missing Data17
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink17
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology17
Semiparametric Factor Analysis for Item-Level Response Time Data17
Detecting Differential Item Functioning across Multiple Groups Using Group Pairwise Penalty17
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach15
Rotating Factors to Simplify Their Structural Paths15
Toward Generalizable Estimation of Behavioral Models with Parameter Dependencies14
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples14
Teamwork Cognitive Diagnostic Modeling14
SRMR for Models with Covariates14
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces14
Remarks from the Editor-in-Chief13
A Recursive Stochastic Algorithm for Real-Time Online Parameter Estimation in Item Response Theory: Enhancing Computational Efficiency for Dynamic Educational Assessment13
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task13
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 Data12
Deep Computerized Adaptive Testing11
PKLM: A Flexible MCAR Test Using Classification11
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items11
AN ITERATIVE GLMM–XGBOOST ALGORITHM WITH GROUP-AWARE CONDITIONAL PERMUTATION IMPORTANCE FOR EXPLAINING MULTILEVEL ITEM RESPONSE DATA11
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning10
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 202210
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data10
Does X at Time 1 Cause Y at Time 2? Longitudinal Causal Learning with Hidden Confounders10
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees10
Remarks from the Editor-in-Chief9
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data9
Bayesian Analysis of the Ordinal Markov Random Field9
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables9
Analysis of the Weighted Kappa and Its Maximum with Markov Moves9
Bayesian Transition Diagnostic Classification Models with Polya-Gamma Augmentation8
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
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing8
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment8
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data8
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis8
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices8
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) Models7
Learning Large Q-Matrix by Restricted Boltzmann Machines7
Regularized Joint Maximum Likelihood Estimation of Latent Space Item Response Models7
Enhancing Empathic Accuracy: Penalized Functional Alignment Method to Correct Temporal Misalignment in Real-Time Emotional Perception7
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models7
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses7
Remarks from the Editor-in-Chief7
Detecting Test Speededness Using Responses and/or Response Times: Change Point Analysis Approaches Based on Schwarz Information Criterion6
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach6
A Latent Markov Model for Noninvariant Measurements: An Application to Interaction Log Data From Computer-Interactive Assessments6
Remarks from the Editor-in-Chief6
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity6
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives6
From Digital Data to Psychological Insights: Making Sense of Mobile-Sensing Data through Integrative Preprocessing Pipelines6
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data6
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data6
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data6
A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals5
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model5
Examining Differential Item Functioning from a Multidimensional IRT Perspective5
Joint Latent Space Model for Social Networks with Multivariate Attributes5
A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates5
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis5
Show Me Some ID: A Universal Identification Program for Structural Equation Models5
P. Ding (2024). A First Course in Causal Inference. Boca Raton, FL: CRC Press5
Modeling Eye Movements During Decision Making: A Review5
Remarks from the New Editor-in-Chief5
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment5
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation5
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data5
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM5
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
Uncovering Latent Structures: A Bayesian Approach to Estimating Q-Matrix and Attribute Hierarchies in Cognitive Diagnostic Models5
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