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 2021-08-01 to 2025-08-01.)
ArticleCitations
Erratum to: Meta-analytic Gaussian Network Aggregation71
Sparse and Simple Structure Estimation via Prenet Penalization45
Commentary: Explore Conditional Dependencies in Item Response Tree Data42
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 Networks33
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma32
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling26
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink26
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model23
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis23
A Note on Ising Network Analysis with Missing Data20
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods19
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence19
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach19
Semiparametric Factor Analysis for Item-Level Response Time Data18
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology18
Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods17
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task16
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)16
Rotating Factors to Simplify Their Structural Paths16
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75, pp. 243–24815
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples14
Multifaceted Neuroimaging Data Integration via Analysis of Subspaces13
PKLM: A Flexible MCAR Test Using Classification13
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data12
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding12
SRMR for Models with Covariates12
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
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees12
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices11
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables11
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
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment10
Second-Order Disjoint Factor Analysis10
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
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data9
Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings9
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments9
Bayesian Analysis of the Ordinal Markov Random Field9
A Review of “The Creation of Scientific Psychology” by David J. Murray & Stephen W. Link9
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis9
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models8
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach8
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
Learning Large Q-Matrix by Restricted Boltzmann Machines8
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models8
Remarks from the Editor-in-Chief8
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data7
Neither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt7
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model7
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data7
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity7
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal 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
Identification of Factor Scores by Regression with External Variables in Exploratory Factor Analysis7
Examining Differential Item Functioning from a Multidimensional IRT Perspective6
Remarks from the New Editor-in-Chief6
Joint Latent Space Model for Social Networks with Multivariate Attributes6
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation6
Performance of the Longitudinal Actor–Partner Interdependence Model in Case of Large Amounts of Missing Values: Challenges and Possible Alternatives6
Modeling Eye Movements During Decision Making: A Review6
Show Me Some ID: A Universal Identification Program for Structural Equation Models6
W. H. Finch, J. E. Bolin and K. Kelley: Multilevel Modeling Using R 2nd Edition, CRC Press, 2019, 252 pp, ISBN: 97811384806745
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment5
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment5
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
Computation and application of generalized linear mixed model derivatives using lme45
Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models5
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
The Generalized Cognitive Diagnosis Model Framework for Polytomous Attributes5
A Multidimensional Model to Facilitate Within Person Comparison of Attributes5
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
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory5
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM5
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference5
Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective4
Logistic Multidimensional Data Analysis for Ordinal Response Variables Using a Cumulative Link Function4
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)4
Ignoring Non-ignorable Missingness4
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model4
Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment4
Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models4
Rejoinder: The Future of Reliability4
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
Correction to: Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes3
Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation3
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application3
A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times3
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials3
Rejoinder to McNeish and Mislevy: What Does Psychological Measurement Require?3
Detecting Changes in Correlation Networks with Application to Functional Connectivity of FMRI Data3
Bayesian Adaptive Lasso for Detecting Item–Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models3
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation3
Procrustes Analysis for High-Dimensional Data3
Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models3
Guest Editors’ Introduction to the Invited Special Section3
Are Sum Scores a Great Accomplishment of Psychometrics or Intuitive Test Theory?3
Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression3
Bayesian Mixture Model of Extended Redundancy Analysis3
Erratum to: Rejoinder to Commentaries on Lyu, Bolt and Westby’s “Exploring the Effects of Item Specific Factors in Sequential and IRTree Models”3
Differential Item Functioning via Robust Scaling3
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
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models2
Diagnosing and Handling Common Violations of Missing at Random2
Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests2
A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models2
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality2
Estimating Finite Mixtures of Ordinal Graphical Models2
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
Multidimensional Item Response Theory in the Style of Collaborative Filtering2
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data2
M. Wiberg, J. González & A. A. von Davier (2024). Generalized Kernel Equating with Applications in R2
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework2
ProcData: An R Package for Process Data Analysis2
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
Using External Information for More Precise Inferences in General Regression Models2
Factor Tree Copula Models for Item Response Data2
Darrell Bock, Influential University of Chicago Professor of Psychometrics, Dies at 932
Item Response Models for Rating Relational Data2
Ordinal Outcome State-Space Models for Intensive Longitudinal Data2
Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality2
Accounting for Persistence in Tests with Linear Ballistic Accumulator Models2
Accurate Assessment via Process Data2
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis2
Identifiability of Polychoric Models with Latent Elliptical Distributions2
Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer2
Diagnostic Classification Models for Testlets: Methods and Theory2
Correction: Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser2
Fitting and Testing Log-Linear Subpopulation Models with Known Support2
Variational Estimation for Multidimensional Generalized Partial Credit Model2
A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model2
Robust Inference for Generalized Linear Mixed Models: A “Two-Stage Summary Statistics” Approach Based on Score Sign Flipping1
Exact Exploratory Bi-factor Analysis: A Constraint-Based Optimization Approach1
Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses1
Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference1
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes1
Rotation to Sparse Loadings Using 1
Efficient Corrections for Standardized Person-Fit Statistics1
The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses1
Commentary: Matching IRT Models to PRO Constructs—Modeling Alternatives, and Some Thoughts on What Makes a Model Different1
Asymptotically Correct Person Fit z-Statistics For the Rasch Testlet Model1
A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models1
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes1
Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring1
Generalized Latent Variable Models for Location, Scale, and Shape parameters1
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference1
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial1
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying1
Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items1
Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates1
Temporally Dynamic, Cohort-Varying Value-Added Models1
New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data1
Extended Asymptotic Identifiability of Nonparametric Item Response Models1
Remarks From the Editor-in-Chief1
Comments on ‘Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory’1
Incorporating Functional Response Time Effects into a Signal Detection Theory Model1
Remarks from the Editor-in-Chief1
Identification and Interpretation of the Completely Oblique Rasch Bifactor Model1
Robust and Efficient Mediation Analysis via Huber Loss1
Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models1
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