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 2020-11-01 to 2024-11-01.)

Article	Citations
Part II: On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha: Discussing Lower Bounds and Correlated Errors	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
Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation	15
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
Computation and application of generalized linear mixed model derivatives using lme4	14
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis	14
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
DIAGNOSTIC Classification Analysis of Problem-Solving Competence using Process Data: An Item Expansion Method	13

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
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
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework	11
Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional Item Response Theory	11
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
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 Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation	9
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data	9
Exploratory Restricted Latent Class Models with Monotonicity Requirements under PÒLYA–GAMMA Data Augmentation	8
Item Complexity: A Neglected Psychometric Feature of Test Items?	8
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
Second-Order Disjoint Factor Analysis	7
Procrustes Analysis for High-Dimensional Data	7
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes	7
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
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
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
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