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 2021-09-01 to 2025-09-01.)
ArticleCitations
Erratum to: Meta-analytic Gaussian Network Aggregation73
Sparse and Simple Structure Estimation via Prenet Penalization46
Commentary: Explore Conditional Dependencies in Item Response Tree Data44
Correction: Book Review of Item Response Theory by Bock and Gibbons42
Noncompensatory MIRT For Passage-Based Tests37
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes36
On the Control of Psychological Networks35
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma33
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling30
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink28
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model24
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis24
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods23
Detecting Differential Item Functioning across Multiple Groups using Group Pairwise Penalty20
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach20
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence19
Semiparametric Factor Analysis for Item-Level Response Time Data18
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology18
Bayesian Structural Equation Envelope Model17
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)16
A Note on Ising Network Analysis with Missing Data16
Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods16
Rotating Factors to Simplify Their Structural Paths15
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75, pp. 243–24814
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task14
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples13
PKLM: A Flexible MCAR Test Using Classification13
Analysis of the Weighted Kappa and Its Maximum with Markov Moves12
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items12
SRMR for Models with Covariates12
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces12
Teamwork Cognitive Diagnostic Modeling12
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data12
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices11
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees11
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data11
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning11
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data11
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 202210
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing10
Bayesian Analysis of the Ordinal Markov Random Field10
Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings10
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables10
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment9
Bayesian Transition Diagnostic Classification Models with Polya-Gamma Augmentation9
Second-Order Disjoint Factor Analysis9
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding9
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis9
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments8
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses8
A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test8
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models8
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data8
Learning Large Q-Matrix by Restricted Boltzmann Machines8
Remarks from the Editor-in-Chief8
A Review of “The Creation of Scientific Psychology” by David J. Murray & Stephen W. Link8
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models8
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach8
Show Me Some ID: A Universal Identification Program for Structural Equation Models7
Neither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt7
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives7
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data7
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data7
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data7
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data7
Examining Differential Item Functioning from a Multidimensional IRT Perspective6
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model6
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis6
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation6
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
Joint Latent Space Model for Social Networks with Multivariate Attributes5
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment5
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory5
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment5
Computation and application of generalized linear mixed model derivatives using lme45
A Latent Markov Model for Noninvariant Measurements: An Application to Interaction Log Data From Computer-Interactive Assessments5
Remarks from the New Editor-in-Chief5
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation5
A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates5
Testing of Reverse Causality Using Semi-Supervised Machine Learning5
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM5
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
Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions5
The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis5
The Generalized Cognitive Diagnosis Model Framework for Polytomous Attributes5
Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models4
Rejoinder: The Future of Reliability4
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference4
A Multidimensional Model to Facilitate Within Person Comparison of Attributes4
Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models4
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)4
W. H. Finch, J. E. Bolin and K. Kelley: Multilevel Modeling Using R 2nd Edition, CRC Press, 2019, 252 pp, ISBN: 97811384806744
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model4
Correction to: Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes3
Are Sum Scores a Great Accomplishment of Psychometrics or Intuitive Test Theory?3
Ignoring Non-ignorable Missingness3
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
Procrustes Analysis for High-Dimensional Data3
Differential Item Functioning via Robust Scaling3
Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation3
Detecting Changes in Correlation Networks with Application to Functional Connectivity of FMRI Data3
Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment3
Logistic Multidimensional Data Analysis for Ordinal Response Variables Using a Cumulative Link Function3
Bayesian Mixture Model of Extended Redundancy Analysis3
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation3
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application3
Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models3
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
Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective3
Bayesian Adaptive Lasso for Detecting Item–Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models3
Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression3
A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times3
Ultrametric Factor Analysis for Building Hierarchies of Reliable and Unidimensional Latent Concepts3
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses3
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials2
Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests2
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors2
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data2
Diagnosing and Handling Common Violations of Missing at Random2
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework2
Book Review of the Handbook of Graphical Models - Maathuis Marloes, Drton Matthias, Lauritzen Steffen AND Wainwright Martin(Eds.), CRC PRESS, (2019). Handbook of Graphical Models2
M. Wiberg, J. González & A. A. von Davier (2024). Generalized Kernel Equating with Applications in R2
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data2
Explaining Performance Gaps with Problem-Solving Process Data via Latent Class Mediation Analysis2
Using External Information for More Precise Inferences in General Regression Models2
A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models2
ProcData: An R Package for Process Data Analysis2
Guest Editors’ Introduction to the Invited Special Section2
Accurate Assessment via Process Data2
Factor Tree Copula Models for Item Response Data2
Variational Estimation for Multidimensional Generalized Partial Credit Model2
Accounting for Persistence in Tests with Linear Ballistic Accumulator Models2
Identifiability of Polychoric Models with Latent Elliptical Distributions2
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis2
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality2
Estimating Finite Mixtures of Ordinal Graphical Models2
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models2
Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer2
Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality2
Ordinal Outcome State-Space Models for Intensive Longitudinal Data2
Temporally Dynamic, Cohort-Varying Value-Added Models1
Robust Inference for Generalized Linear Mixed Models: A “Two-Stage Summary Statistics” Approach Based on Score Sign Flipping1
Remarks From the Editor-in-Chief1
Generalized Latent Variable Models for Location, Scale, and Shape parameters1
Darrell Bock, Influential University of Chicago Professor of Psychometrics, Dies at 931
Item Response Models for Rating Relational Data1
Extended Asymptotic Identifiability of Nonparametric Item Response Models1
A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models1
Efficient Corrections for Standardized Person-Fit Statistics1
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference1
Comments on ‘Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory’1
New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data1
Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring1
Incorporating Functional Response Time Effects into a Signal Detection Theory Model1
Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses1
Correction: Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser1
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes1
Fitting and Testing Log-Linear Subpopulation Models with Known Support1
The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses1
Remarks from the Editor-in-Chief1
Robust and Efficient Mediation Analysis via Huber Loss1
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes1
Rotation to Sparse Loadings Using 1
Evidence Factors in Fuzzy Regression Discontinuity Designs with Sequential Treatment Assignments1
Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference1
A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model1
Multidimensional Item Response Theory in the Style of Collaborative Filtering1
Diagnostic Classification Models for Testlets: Methods and Theory1
Exact Exploratory Bi-factor Analysis: A Constraint-Based Optimization Approach1
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying1
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial1
0.091001033782959