OOIR: Observatory of International Research

Papers

(The TQCC of Psychometrika is 5. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Part II: On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha: Discussing Lower Bounds and Correlated Errors	40
Latent Feature Extraction for Process Data via Multidimensional Scaling	35
On the Quantification of Model Uncertainty: A Bayesian Perspective	29
On the Control of Psychological Networks	27
Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes	26
Linking Scores with Patient-Reported Health Outcome Instruments:A VALIDATION STUDY AND COMPARISON OF THREE LINKING METHODS	25
Network Trees: A Method for Recursively Partitioning Covariance Structures	24
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data	24
Possible Futures for Network Psychometrics	20
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality	19
Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map	18
Neither Cronbach’s Alpha nor McDonald’s Omega: A Commentary on Sijtsma and Pfadt	18
Inferring the Number of Attributes for the Exploratory DINA Model	15
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data	14
Meta-analytic Gaussian Network Aggregation	14
A Guide for Sparse PCA: Model Comparison and Applications	14
A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models	13
On the Information Obtainable from Comparative Judgments	13
Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation	12
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis	12
DIAGNOSTIC Classification Analysis of Problem-Solving Competence using Process Data: An Item Expansion Method	12
Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions	12
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	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

Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model	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
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework	10
Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems	10
Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression	10
On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling	10
Maximum likelihood estimation of a social relations structural equation model	10
Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model	10
Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test	9
Exponential-Family Random Graph Models for Multi-Layer Networks	9
A Test Can Have Multiple Reliabilities	9
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
Computation and application of generalized linear mixed model derivatives using lme4	9
A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation	8
An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations	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
Students’ Complex Problem Solving Profiles	7
ProcData: An R Package for Process Data Analysis	7
Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model	7
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	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
Social Network Mediation Analysis: A Latent Space Approach	7
Goodman and Kruskal’s Gamma Coefficient for Ordinalized Bivariate Normal Distributions	7
Structural Equation Models: From Paths to Networks (Westland 2019)	6
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT	6
Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding	6
Item Complexity: A Neglected Psychometric Feature of Test Items?	6
Procrustes Analysis for High-Dimensional Data	6
Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents	6
Objective Bayesian Edge Screening and Structure Selection for Ising Networks	6
A unified model-implied instrumental variable approach for structural equation modeling with mixed variables	5
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models	5
Alpha, FACTT, and Beyond	5
Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments	5
Advances in CD-CAT: The General Nonparametric Item Selection Method	5
A Shadow-Test Approach to Adaptive Item Calibration	5
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes	5
A Note on Likelihood Ratio Tests for Models with Latent Variables	5
Regularized Variational Estimation for Exploratory Item Factor Analysis	5
A Partially Confirmatory Approach to the Multidimensional Item Response Theory with the Bayesian Lasso	5
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis	5
Solving the Tower of Babel Problem for Patient-Reported Outcome Measures	5
A Latent Variable Mixed-Effects Location Scale Model with an Application to Daily Diary Data	5
Second-Order Disjoint Factor Analysis	5
Estimating Finite Mixtures of Ordinal Graphical Models	5
Sparse and Simple Structure Estimation via Prenet Penalization	5