OOIR: Observatory of International Research

Papers

(The median citation count of Psychometrika is 2. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Part II: On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha: Discussing Lower Bounds and Correlated Errors	37
On the Quantification of Model Uncertainty: A Bayesian Perspective	29
Latent Feature Extraction for Process Data via Multidimensional Scaling	28
Linking Scores with Patient-Reported Health Outcome Instruments:A VALIDATION STUDY AND COMPARISON OF THREE LINKING METHODS	25
On the Control of Psychological Networks	25
Network Trees: A Method for Recursively Partitioning Covariance Structures	24
Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes	23
Possible Futures for Network Psychometrics	20
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data	18
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality	18
Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map	17
Neither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt	16
Inferring the Number of Attributes for the Exploratory DINA Model	14
Meta-analytic Gaussian Network Aggregation	13
On the Information Obtainable from Comparative Judgments	13
A Guide for Sparse PCA: Model Comparison and Applications	13
A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models	13
Maximum Likelihood Estimation of Multilevel Structural Equation Models with Random Slopes for Latent Covariates	12
Modeling Eye Movements During Decision Making: A Review	12
Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection	11
Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation	11
Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model	11
Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions	11
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	11
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data	11

A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis	11
Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression	10
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	10
Maximum likelihood estimation of a social relations structural equation model	10
On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling	10
DIAGNOSTIC Classification Analysis of Problem-Solving Competence using Process Data: An Item Expansion Method	10
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	10
Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression	9
A Note on Exploratory Item Factor Analysis by Singular Value Decomposition	9
Exponential-Family Random Graph Models for Multi-Layer Networks	9
Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test	9
An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations	8
A Test Can Have Multiple Reliabilities	8
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework	8
Global Least Squares Path Modeling: A Full-Information Alternative to Partial Least Squares Path Modeling	8
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory	8
Computation and application of generalized linear mixed model derivatives using lme4	8
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation	7
Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models	7
Using Response Times and Response Accuracy to Measure Fluency Within Cognitive Diagnosis Models	7
Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems	7
Social Network Mediation Analysis: A Latent Space Approach	7
Goodman and Kruskal’s Gamma Coefficient for Ordinalized Bivariate Normal Distributions	7
Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model	6
Students’ Complex Problem Solving Profiles	6
Procrustes Analysis for High-Dimensional Data	6
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding	6
Structural Equation Models: From Paths to Networks (Westland 2019)	6
Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents	6
A Shadow-Test Approach to Adaptive Item Calibration	5
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models	5
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	5
ProcData: An R Package for Process Data Analysis	5
Sparse and Simple Structure Estimation via Prenet Penalization	5
A unified model-implied instrumental variable approach for structural equation modeling with mixed variables	5
Second-Order Disjoint Factor Analysis	5
Regularized Variational Estimation for Exploratory Item Factor Analysis	5
Item Complexity: A Neglected Psychometric Feature of Test Items?	5
Objective Bayesian Edge Screening and Structure Selection for Ising Networks	5
A Latent Variable Mixed-Effects Location Scale Model with an Application to Daily Diary Data	5
Alpha, FACTT, and Beyond	5
Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments	5
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT	5
Advances in CD-CAT: The General Nonparametric Item Selection Method	5
Solving the Tower of Babel Problem for Patient-Reported Outcome Measures	4
ConNEcT: A Novel Network Approach for Investigating the Co-occurrence of Binary Psychopathological Symptoms Over Time	4
Extending the Basic Local Independence Model to Polytomous Data	4
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis	4
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data	4
Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation	4

Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models	4
Estimating Finite Mixtures of Ordinal Graphical Models	4
Exploratory Restricted Latent Class Models with Monotonicity Requirements under PÒLYA–GAMMA Data Augmentation	4
A Partially Confirmatory Approach to the Multidimensional Item Response Theory with the Bayesian Lasso	4
Joint Bayesian Estimation of Voxel Activation and Inter-regional Connectivity in fMRI Experiments	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
Review of Gana & Broc’s Structural Equation Modeling with lavaan	4
A Restricted Four-Parameter IRT Model: The Dyad Four-Parameter Normal Ogive (Dyad-4PNO) Model	4
An Attention-Based Diffusion Model for Psychometric Analyses	3
DIF Statistical Inference Without Knowing Anchoring Items	3
Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory	3
Identifiability of Latent Class Models with Covariates	3
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis	3
Accurate Assessment via Process Data	3
A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test	3
A Note on Likelihood Ratio Tests for Models with Latent Variables	3
Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models	3
The Role of Conditional Likelihoods in Latent Variable Modeling	3
Semiparametric Factor Analysis for Item-Level Response Time Data	3
Bayesian Analysis of ANOVA and Mixed Models on the Log-Transformed Response Variable	3
A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times	3
Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators	3
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices	3
The Reliability Factor: Modeling Individual Reliability with Multiple Items from a Single Assessment	3
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach	3
A Dyadic IRT Model	3
Rotation to Sparse Loadings Using $$L^p$$ Losses and Related Inference Problems	3
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes	2
Lord–Wingersky Algorithm Version 2.5 with Applications	2
Robust Inference for Mediated Effects in Partially Linear Models	2
Ignoring Non-ignorable Missingness	2
Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis	2
Partial Identification of Latent Correlations with Ordinal Data	2
Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference	2
Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology	2
Disentangling relationships in symptom networks using matrix permutation methods	2
Efficient Likelihood Estimation of Generalized Structural Equation Models with a Mix of Normal and Nonnormal Responses	2
Partial Identification of Latent Correlations with Binary Data	2
Rotation in Correspondence Analysis from the Canonical Correlation Perspective	2
Learning Large Q-Matrix by Restricted Boltzmann Machines	2
Item Response Thresholds Models: A General Class of Models for Varying Types of Items	2
An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model	2
Using EM Algorithm for Finite Mixtures and Reformed Supplemented EM for MIRT Calibration	2
Using Multiple Imputation with GEE with Non-monotone Missing Longitudinal Binary Outcomes	2
Incomplete Tests of Conditional Association for the Assessment of Model Assumptions	2
A two-step estimator for multilevel latent class analysis with covariates	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
Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments	2
Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application	2
Factor Uniqueness of the Structural Parafac Model	2
A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses	2
Maximization of Some Types of Information for Unidentified Item Response Models with Guessing Parameters	2
A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis	2
Multidimensional Item Response Theory in the Style of Collaborative Filtering	2
Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates	2
A Group Comparison Test under Uncertain Group Membership	2
Bi-factor and Second-Order Copula Models for Item Response Data	2
A Censored Mixture Model for Modeling Risk Taking	2
Erratum to: Meta-analytic Gaussian Network Aggregation	2