Psychometrika

Article	Citations
Part II: On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha: Discussing Lower Bounds and Correlated Errors	52
On the Quantification of Model Uncertainty: A Bayesian Perspective	33
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data	32
On the Control of Psychological Networks	31
Linking Scores with Patient-Reported Health Outcome Instruments:A VALIDATION STUDY AND COMPARISON OF THREE LINKING METHODS	30
Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes	29
Network Trees: A Method for Recursively Partitioning Covariance Structures	28
Possible Futures for Network Psychometrics	27
Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map	25
Neither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt	24
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality	23
Inferring the Number of Attributes for the Exploratory DINA Model	18
Meta-analytic Gaussian Network Aggregation	16
A Guide for Sparse PCA: Model Comparison and Applications	15
Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems	15
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data	15
Modeling Eye Movements During Decision Making: A Review	15
Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation	15
Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression	14
Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions	14
Using Item Response Theory to Identify Responders to Treatment: Examples with the Patient-Reported Outcomes Measurement Information System (PROMIS®) Physical Function Scale and Emotional Distress Comp	14
On the Information Obtainable from Comparative Judgments	14
Computation and application of generalized linear mixed model derivatives using lme4	14
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis	14
DIAGNOSTIC Classification Analysis of Problem-Solving Competence using Process Data: An Item Expansion Method	13

Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models	12
Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model	12
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	12
Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections	12
Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection	12
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory	11
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework	11
Global Least Squares Path Modeling: A Full-Information Alternative to Partial Least Squares Path Modeling	10
On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling	10
A Test Can Have Multiple Reliabilities	10
Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression	10
Objective Bayesian Edge Screening and Structure Selection for Ising Networks	10
Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test	10
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT	10
Advances in CD-CAT: The General Nonparametric Item Selection Method	10
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	9
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation	9
Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model	8
ProcData: An R Package for Process Data Analysis	8
Social Network Mediation Analysis: A Latent Space Approach	8
Exploratory Restricted Latent Class Models with Monotonicity Requirements under PÒLYA–GAMMA Data Augmentation	8
Item Complexity: A Neglected Psychometric Feature of Test Items?	8
Procrustes Analysis for High-Dimensional Data	7
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes	7
Second-Order Disjoint Factor Analysis	7
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices	6
Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents	6
Sparse and Simple Structure Estimation via Prenet Penalization	6
A Latent Variable Mixed-Effects Location Scale Model with an Application to Daily Diary Data	6
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding	6
Regularized Variational Estimation for Exploratory Item Factor Analysis	6
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis	6
Learning Large Q-Matrix by Restricted Boltzmann Machines	6
Alpha, FACTT, and Beyond	6
Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models	6
Rotation to Sparse Loadings Using $$L^p$$ Losses and Related Inference Problems	6
Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM	6
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models	6
A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times	5
DIF Statistical Inference Without Knowing Anchoring Items	5
A Note on Likelihood Ratio Tests for Models with Latent Variables	5
Accurate Assessment via Process Data	5
Solving the Tower of Babel Problem for Patient-Reported Outcome Measures	5
Item Response Thresholds Models: A General Class of Models for Varying Types of Items	5
Estimating Finite Mixtures of Ordinal Graphical Models	5
Asymptotically Corrected Person Fit Statistics for Multidimensional Constructs with Simple Structure and Mixed Item Types	5
A unified model-implied instrumental variable approach for structural equation modeling with mixed variables	5
Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models	5
Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments	5
Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation	4

Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models	4
A two-step estimator for multilevel latent class analysis with covariates	4
Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	4
ConNEcT: A Novel Network Approach for Investigating the Co-occurrence of Binary Psychopathological Symptoms Over Time	4
Forecasting Intra-individual Changes of Affective States Taking into Account Inter-individual Differences Using Intensive Longitudinal Data from a University Student Dropout Study in Math	4
Semiparametric Factor Analysis for Item-Level Response Time Data	4
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data	4
A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test	4
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model	4
Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory	4
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	4
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference	3
The Reliability Factor: Modeling Individual Reliability with Multiple Items from a Single Assessment	3
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors	3
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis	3
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses	3
Using EM Algorithm for Finite Mixtures and Reformed Supplemented EM for MIRT Calibration	3
Multidimensional Item Response Theory in the Style of Collaborative Filtering	3
Identifiability of Latent Class Models with Covariates	3
On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence	3
Partial Identification of Latent Correlations with Binary Data	3
Bayesian Analysis of ANOVA and Mixed Models on the Log-Transformed Response Variable	3
An Attention-Based Diffusion Model for Psychometric Analyses	3
Rejoinder: The Future of Reliability	3
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis	3
Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models	3
Incomplete Tests of Conditional Association for the Assessment of Model Assumptions	3
Bi-factor and Second-Order Copula Models for Item Response Data	3
Efficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses	3
Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators	3
Ignoring Non-ignorable Missingness	3
A Latent Hidden Markov Model for Process Data	3
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses	2
Rotation in Correspondence Analysis from the Canonical Correlation Perspective	2
Robust Inference for Mediated Effects in Partially Linear Models	2
A Group Comparison Test under Uncertain Group Membership	2
A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models	2
Editorial to the Invited Special Section “Advancing Methods to Assess Patient-Reported Outcomes: Lessons Learned from the Patient-Reported Outcomes Measurement Information System® (PROMIS®) initiative	2
Erratum to: Meta-analytic Gaussian Network Aggregation	2
Differential Item Functioning via Robust Scaling	2
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data	2
A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis	2
The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses	2
Disentangling relationships in symptom networks using matrix permutation methods	2
A Censored Mixture Model for Modeling Risk Taking	2
Lord–Wingersky Algorithm Version 2.5 with Applications	2
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application	2
Maximization of Some Types of Information for Unidentified Item Response Models with Guessing Parameters	2
Partial Identification of Latent Correlations with Ordinal Data	2
Efficient Corrections for Standardized Person-Fit Statistics	2
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology	2
A Unified Neural Network Framework for Extended Redundancy Analysis	2
Direct Estimation of Diagnostic Classification Model Attribute Mastery Profiles via a Collapsed Gibbs Sampling Algorithm	1
Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data	1
Practical Implications of Sum Scores Being Psychometrics’ Greatest Accomplishment	1
An Extended GFfit Statistic Defined on Orthogonal Components of Pearson’s Chi-Square	1
Analysis of the Weighted Kappa and Its Maximum with Markov Moves	1
Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality	1
Rotating Factors to Simplify Their Structural Paths	1
Remarks from the New Editor-in-Chief	1
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models	1
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data	1
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials	1
Erratum to: Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators	1
Sample Size Determination for Interval Estimation of the Prevalence of a Sensitive Attribute Under Randomized Response Models	1
Blind Subgrouping of Task-based fMRI	1
Commentary: Explore Conditional Dependencies in Item Response Tree Data	1
Fitting and Testing Log-Linear Subpopulation Models with Known Support	1
Detecting Changes in Correlation Networks with Application to Functional Connectivity of fMRI Data	1
Examining Differential Item Functioning from a Multidimensional IRT Perspective	1
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)	1
A Note on the Structural Change Test in Highly Parameterized Psychometric Models	1
DIF Analysis with Unknown Groups and Anchor Items	1
Factor Tree Copula Models for Item Response Data	1
Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model	1
Erratum to: Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models	1
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation	1
Post-selection Inference in Multiverse Analysis (PIMA): An Inferential Framework Based on the Sign Flipping Score Test	1
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data	1
Modeling Not-Reached Items in Timed Tests: A Response Time Censoring Approach	1

Item-Specific Factors in IRTree Models: When They Matter and When They Don’t	1
Bayesian Mixture Model of Extended Redundancy Analysis	1
A Note on the Usefulness of Constrained Fourth-Order Latent Differential Equation Models in the Case of Small T	1
Erratum to: Power Analysis and Sample Size Planning in Ancova Designs	1
Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment	1
The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees	1
Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment	1
Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings	1
Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation	1
Estimating and Using Block Information in the Thurstonian IRT Model	1
Not all DIF is shaped similarly	1
Diagnosing and Handling Common Violations of Missing at Random	1
Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation	1
Measuring Agreement Using Guessing Models and Knowledge Coefficients	1
A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models	1
Joint Latent Space Model for Social Networks with Multivariate Attributes	1
Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring	1