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 2020-04-01 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
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
Meta-analytic Gaussian Network Aggregation	13
On the Information Obtainable from Comparative Judgments	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
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
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
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
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
Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test	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
Exponential-Family Random Graph Models for Multi-Layer Networks	9
Computation and application of generalized linear mixed model derivatives using lme4	8
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
Social Network Mediation Analysis: A Latent Space Approach	7
Goodman and Kruskal’s Gamma Coefficient for Ordinalized Bivariate Normal Distributions	7
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
Structural Equation Models: From Paths to Networks (Westland 2019)	6
Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents	6
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
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
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