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 2021-04-01 to 2025-04-01.)
ArticleCitations
A generalized factor rotation framework with customized regularization63
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial39
Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments37
Modeling Eye Movements During Decision Making: A Review36
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model35
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma31
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes29
Advances in CD-CAT: The General Nonparametric Item Selection Method28
Sample Size Determination for Interval Estimation of the Prevalence of a Sensitive Attribute Under Randomized Response Models27
Guest Editors’ Introduction to the Invited Special Section21
Guest Editors’ Introduction to the Special Issue on Forecasting with Intensive Longitudinal Data20
Comments on ‘Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory’19
Multidimensional Latent Space Item Response Models: A Note on the Relativity of Conditional Dependence19
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality18
Efficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses18
Noncompensatory MIRT For Passage-Based Tests17
Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data16
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors15
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data15
Exploratory Restricted Latent Class Models with Monotonicity Requirements under Pòlya—gamma Data Augmentation15
Objective Bayesian Edge Screening and Structure Selection for Ising Networks15
Commentary on “Extending the Basic Local Independence Model to Polytomous Data” by Stefanutti, de Chiusole, Anselmi, and Spoto14
Sparse and Simple Structure Estimation via Prenet Penalization13
A Unified Neural Network Framework for Extended Redundancy Analysis13
Erratum to: Meta-analytic Gaussian Network Aggregation13
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data12
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis12
Rotation to Sparse Loadings Using 11
Item-Specific Factors in IRTree Models: When They Matter and When They Don’t11
Examining Differential Item Functioning from a Multidimensional IRT Perspective10
Commentary: Explore Conditional Dependencies in Item Response Tree Data10
L. Andrires Van Der Ark, Wilco H. M. Emons, & Rob R. Meijer (2023). Essays on Contemporary Psychometrics. Springer. ISBN: 978-3-031-10370-4.10
Temporally Dynamic, Cohort-Varying Value-Added Models10
Joint Latent Space Model for Social Networks with Multivariate Attributes10
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference10
Polytomous Effectiveness Indicators in Complex Problem-Solving Tasks and Their Applications in Developing Measurement Model10
Measuring Agreement Using Guessing Models and Knowledge Coefficients10
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials10
Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems9
Correction: Book Review of Item Response Theory by Bock and Gibbons9
On the Control of Psychological Networks9
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework8
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data8
On the Information Obtainable from Comparative Judgments8
The Dependence of Chance-Corrected Weighted Agreement Coefficients on the Power Parameter of the Weighting Scheme: Analysis and Measurement8
ProcData: An R Package for Process Data Analysis8
Accurate Assessment via Process Data7
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models7
Erratum to: Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models7
Semiparametric Factor Analysis for Item-Level Response Time Data7
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT7
On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory6
Diagnosing and Handling Common Violations of Missing at Random6
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation6
Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests6
Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying6
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach6
A Note on Improving Variational Estimation for Multidimensional Item Response Theory6
Efficient Corrections for Standardized Person-Fit Statistics6
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis6
Bi-factor and Second-Order Copula Models for Item Response Data6
Using External Information for More Precise Inferences in General Regression Models6
The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses6
Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment6
Bayesian Analysis of Anova and Mixed Models on the Log-Transformed Response Variable5
The Role of Conditional Likelihoods in Latent Variable Modeling5
Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models5
A Censored Mixture Model for Modeling Risk Taking5
K. Sijtsma and A. L. Van Der Ark (2020): A Review of “Measurement Models for Psychological Attributes” CRC Press. 400 pp, $79.95 (paperback), $199.95 (hardback), $71.95 (eBook), ISBN: 97803674245275
Estimating Finite Mixtures of Ordinal Graphical Models5
Disentangling Relationships in Symptom Networks Using Matrix Permutation Methods5
Identifiability of Polychoric Models with Latent Elliptical Distributions5
On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling5
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence5
Item Complexity: A Neglected Psychometric Feature of Test Items?5
Editorial to the Invited Special Section “Advancing Methods to Assess Patient-Reported Outcomes: Lessons Learned from the Patient-Reported Outcomes Measurement Information System® (PROMIS®) initiative5
Remarks from the New Editor-in-Chief4
Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink4
Correction: Book Review of Innovative Assessment of Collaboration by Davier, Shu & Kyllonen4
Robust and Efficient Mediation Analysis via Huber Loss4
A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models4
Psychometric Society Meeting of the Members University of Maryland College Park, Maryland July 28, 20234
Not all DIF is shaped similarly4
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory4
Remarks from the Editor-in-Chief4
Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task3
Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression3
Assumptions and Properties of Two-Level Nonparametric Item Response Theory Models3
Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer3
Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods3
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model3
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis3
I. Visser, & M. Speekenbrink (2022). Mixture and Hidden Markov Models with R. Springer, Cham, CH.3
The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items3
Commentary: Matching IRT Models to PRO Constructs—Modeling Alternatives, and Some Thoughts on What Makes a Model Different3
The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling3
A Group Comparison Test under Uncertain Group Membership3
Estimating and Using Block Information in the Thurstonian IRT Model3
A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates3
Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions3
Erratum to: Maximum Likelihood Estimation of a Social Relations Structural Equation Model3
Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory3
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM3
Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments3
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology3
A Note on Ising Network Analysis with Missing Data3
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 R3
Factor Tree Copula Models for Item Response Data3
Forecasting Intra-individual Changes of Affective States Taking into Account Inter-individual Differences Using Intensive Longitudinal Data from a University Student Dropout Study in Math2
Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates2
The Generalized Cognitive Diagnosis Model Framework for Polytomous Attributes2
A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses2
Asymptotically Correct Person Fit z-Statistics For the Rasch Testlet Model2
A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models2
Identifiability of Latent Class Models with Covariates2
Computation and application of generalized linear mixed model derivatives using lme42
Incomplete Tests of Conditional Association for the Assessment of Model Assumptions2
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
Generic Identifiability of the DINA Model and Blessing of Latent Dependence2
A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment2
Correction: Book Review of Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables by J. Henseler2
The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis2
Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models2
Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment2
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference2
Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models2
Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation2
Regularized Variational Estimation for Exploratory Item Factor Analysis2
Rotating Factors to Simplify Their Structural Paths2
Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation2
Multiphase Structured Latent Curve Models for Count Response Data: A Re-Analysis of the Acquisition of Morphology in English2
Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality2
The Reliability Factor: Modeling Individual Reliability with Multiple Items from a Single Assessment2
Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model2
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data2
Part II: On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha: Discussing Lower Bounds and Correlated Errors1
Ignoring Non-ignorable Missingness1
A Note on the Structural Change Test in Highly Parameterized Psychometric Models1
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding1
Jörg Henseler (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables1
Alpha, FACTT, and Beyond1
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)1
Second-Order Disjoint Factor Analysis1
Remarks from the Editor-in-Chief1
Multi-Group Regularized Gaussian Variational Estimation: Fast Detection of DIF1
PKLM: A Flexible MCAR Test Using Classification1
Corrigenda to Satorra, A., and Bentler, P.M. (2010), “Ensuring Positiveness of the Scaled Difference Chi-Square Test Statistic,” Psychometrika, 75, pp. 243–2481
LOGISTIC MULTIDIMENSIONAL DATA ANALYSIS FOR ORDINAL RESPONSE VARIABLES USING A CUMULATIVE LINK FUNCTION1
Generalized Bayesian method for diagnostic classification models1
Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing1
Analysis of the Weighted Kappa and Its Maximum with Markov Moves1
Rejoinder: The Future of Reliability1
A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis1
Correction: Book Review of Psychometric Methods: Theory into Practice by Price1
A Family of Sequential Item Response Models for Multiple-Choice, Multiple-Attempt Test Items1
DIF Analysis with Unknown Groups and Anchor Items1
Stacking Models of Growth: A Methodology for Predicting the Pace of Progress to the Education Sustainable Development Targets using International Large-Scale Assessments1
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)1
Infinitesimal Jackknife Estimates of Standard Errors for Rotated Estimates of Redundancy Analysis: Applications to Two Real Examples1
SRMR for Models with Covariates1
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data1
W. H. Finch, J. E. Bolin and K. Kelley: Multilevel Modeling Using R 2nd Edition, CRC Press, 2019, 252 pp, ISBN: 97811384806741
Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings1
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model1
Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test1
Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment1
Psychometric Society Meeting of the Members University of Bologna, Bologna, Italy, July 15, 20221
Estimation of Linear models from Coarsened Observations: A Method of Moments Approach1
Bayesian Analysis of the Ordinal Markov Random Field1
An Overall Test of Pairwise Mean Conditional Covariances in IRT1
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