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 2021-05-01 to 2025-05-01.)
ArticleCitations
Erratum to: Meta-analytic Gaussian Network Aggregation65
Sparse and Simple Structure Estimation via Prenet Penalization40
Commentary: Explore Conditional Dependencies in Item Response Tree Data38
Correction: Book Review of Item Response Theory by Bock and Gibbons37
Noncompensatory MIRT For Passage-Based Tests36
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes34
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma31
On the Control of Psychological Networks30
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling27
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink22
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis20
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model20
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology19
Bayesian Analysis of Anova and Mixed Models on the Log-Transformed Response Variable19
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods18
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach17
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence17
Semiparametric Factor Analysis for Item-Level Response Time Data17
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
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)15
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data15
SRMR for Models with Covariates15
Rotating Factors to Simplify Their Structural Paths14
Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory14
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task13
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items13
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75, pp. 243–24812
PKLM: A Flexible MCAR Test Using Classification12
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples12
Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings11
Analysis of the Weighted Kappa and Its Maximum with Markov Moves11
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding11
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data10
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing10
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment10
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees10
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis10
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables9
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data9
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning9
Bayesian Analysis of the Ordinal Markov Random Field9
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices9
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data8
Second-Order Disjoint Factor Analysis8
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses8
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 20228
Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments8
Robust Inference for Mediated Effects in Partially Linear Models7
A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test7
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models7
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models7
A Review of “The Creation of Scientific Psychology” by David J. Murray & Stephen W. Link7
Learning Large Q-Matrix by Restricted Boltzmann Machines7
Joint Latent Space Model for Social Networks with Multivariate Attributes6
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data6
Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data6
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model6
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation6
Neither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt6
Causal Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach6
Examining Differential Item Functioning from a Multidimensional IRT Perspective6
Efficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses6
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data6
Remarks from the Editor-in-Chief6
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data6
Show Me Some ID: A Universal Identification Program for Structural Equation Models5
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
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
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM5
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation5
The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis5
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory5
Modeling Eye Movements During Decision Making: A Review5
Remarks from the New Editor-in-Chief5
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment5
Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression5
The Generalized Cognitive Diagnosis Model Framework for Polytomous Attributes4
Computation and application of generalized linear mixed model derivatives using lme44
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model4
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)4
Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models4
Testing of Reverse Causality Using Semi-Supervised Machine Learning4
LOGISTIC MULTIDIMENSIONAL DATA ANALYSIS FOR ORDINAL RESPONSE VARIABLES USING A CUMULATIVE LINK FUNCTION4
W. H. Finch, J. E. Bolin and K. Kelley: Multilevel Modeling Using R 2nd Edition, CRC Press, 2019, 252 pp, ISBN: 97811384806744
Ignoring Non-ignorable Missingness4
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference4
Rejoinder: The Future of Reliability4
A Multidimensional Model to Facilitate Within Person Comparison of Attributes4
Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment4
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials3
Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective3
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
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application3
Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation3
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation3
Guest Editors’ Introduction to the Invited Special Section3
Bayesian Mixture Model of Extended Redundancy Analysis3
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
Ultrametric Factor Analysis for Building Hierarchies of Reliable and Unidimensional Latent Concepts3
A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times3
Differential Item Functioning via Robust Scaling3
Procrustes Analysis for High-Dimensional Data3
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 Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses3
Erratum to: Rejoinder to Commentaries on Lyu, Bolt and Westby’s “Exploring the Effects of Item Specific Factors in Sequential and IRTree Models”3
ProcData: An R Package for Process Data Analysis2
Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer2
A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model2
Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses2
Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality2
Diagnosing and Handling Common Violations of Missing at Random2
Accurate Assessment via Process Data2
Identifiability of Polychoric Models with Latent Elliptical Distributions2
On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling2
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data2
Maximization of Some Types of Information for Unidentified Item Response Models with Guessing Parameters2
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data2
Variational Estimation for Multidimensional Generalized Partial Credit Model2
Factor Tree Copula Models for Item Response Data2
Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests2
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis2
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
Correction: Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser2
Multidimensional Item Response Theory in the Style of Collaborative Filtering2
Wiberg, M., González, J. & von Davier, A. A. (2024). Generalized Kernel Equating with Applications in R2
Ordinal Outcome State-Space Models for Intensive Longitudinal Data2
Using External Information for More Precise Inferences in General Regression Models2
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models2
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework2
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors2
Robust Inference for Generalized Linear Mixed Models: A “Two-Stage Summary Statistics” Approach Based on Score Sign Flipping1
Temporally Dynamic, Cohort-Varying Value-Added Models1
A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses1
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference1
The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses1
Robust and Efficient Mediation Analysis via Huber Loss1
Identification and Interpretation of the Completely Oblique Rasch Bifactor Model1
A unified model-implied instrumental variable approach for structural equation modeling with mixed variables1
Extended Asymptotic Identifiability of Nonparametric Item Response Models1
Remarks From the Editor-in-Chief1
Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference1
Diagnostic Classification Models for Testlets: Methods and Theory1
Rotation to Sparse Loadings Using 1
Identifiability of Latent Class Models with Covariates1
Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models1
Commentary: Matching IRT Models to PRO Constructs—Modeling Alternatives, and Some Thoughts on What Makes a Model Different1
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying1
Remarks from the Editor-in-Chief1
New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data1
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes1
Comments on ‘Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory’1
Generalized Latent Variable Models for Location, Scale, and Shape parameters1
Darrell Bock, Influential University of Chicago Professor of Psychometrics, Dies at 931
A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models1
Asymptotically Correct Person Fit z-Statistics For the Rasch Testlet Model1
Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates1
Erratum to: Maximum Likelihood Estimation of a Social Relations Structural Equation Model1
Efficient Corrections for Standardized Person-Fit Statistics1
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial1
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes1
Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring1
Incorporating Functional Response Time Effects into a Signal Detection Theory Model1
Fitting and Testing Log-Linear Subpopulation Models with Known Support1
0.060338020324707