OOIR: Observatory of International Research

Papers

(The H4-Index of Multivariate Behavioral Research is 15. 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 2022-08-01 to 2026-08-01.)

Article	Citations
A Systematic Evaluation of Wording Effects Modeling Under the Exploratory Structural Equation Modeling Framework	123
Killing Two Birds with One Stone: Accounting for Unfolding Item Response Process and Response Styles Using Unfolding Item Response Tree Models	89
Unique Contributions of Dynamic Affect Indicators – Beyond Static Variability	55
Estimating Latent State-Trait Models for Experience-Sampling Data in R with the lsttheory Package: A Tutorial	49
State Space Mixture Modeling: Finding People with Similar Patterns of Change	49
Toward a Psychology of Individuals: The Ergodicity Information Index and a Bottom-up Approach for Finding Generalizations	45
Cluster Randomized Trials with a Pretest and Posttest: Equivalence of Three-, Two- and One-Level Analyses, and Sample Size Calculation	40
Handling Missing Data in Intensive Longitudinal Data with Mixed Missing Mechanisms	32
On the Selection of Item Scores or Composite Scores for Clinical Prediction	28
Improving the Evaluation of Construct Change Over Time: Advantages of Longitudinal Moderated Nonlinear Factor Analysis Over Conventional First-Order Growth Models	26
Nodewise Parameter Aggregation for Psychometric Networks	23
Local Minima in Multidimensional Item Response Theory Models	22
Accounting for Measurement Invariance Violations in Careless Responding Detection in Intensive Longitudinal Data: Exploratory vs. Partially Constrained Latent Markov Factor Analysis	22
An Exact Bayesian Model for Meta-Analysis of the Standardized Mean Difference with Its Simultaneous Credible Intervals	18
From Metaphor to Computation: Constructing the Potential Landscape for Multivariate Psychological Formal Models	16
Reorienting Latent Variable Modeling for Supervised Learning	15