OOIR: Observatory of International Research

Papers

(The TQCC of Multivariate Behavioral Research is 3. 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 2020-10-01 to 2024-10-01.)

Article	Citations
Evaluating SEM Model Fit with Small Degrees of Freedom	60
Bayesian Estimation for Gaussian Graphical Models: Structure Learning, Predictability, and Network Comparisons	40
dynamic : An R Package for Deriving Dynamic Fit Index Cutoffs for Factor Analysis	27
CLC Estimator: A Tool for Latent Construct Estimation via Congeneric Approaches in Survey Research	26
Recovering Within-Person Dynamics from Psychological Time Series	23
Selecting a Within- or Between-Subject Design for Mediation: Validity, Causality, and Statistical Power	22
Interpreting Interaction Effects in Generalized Linear Models of Nonlinear Probabilities and Counts	21
Causal Inference with Multilevel Data: A Comparison of Different Propensity Score Weighting Approaches	20
AI-Assisted Systematic Reviewing: Selecting Studies to Compare Bayesian Versus Frequentist SEM for Small Sample Sizes	17
Model Selection and Model Averaging for Mixed-Effects Models with Crossed Random Effects for Subjects and Items	17
Small but Nontrivial: A Comparison of Six Strategies to Handle Cross-Loadings in Bifactor Predictive Models	15
Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models	14
Bayesian Estimation of Single-Test Reliability Coefficients	13
Unique Variable Analysis: A Network Psychometrics Method to Detect Local Dependence	13
The Curious Case of the Cross-Sectional Correlation	13
A Sequential Response Model for Analyzing Process Data on Technology-Based Problem-Solving Tasks	13
Accounting for Heteroskedasticity Resulting from Between-Group Differences in Multilevel Models	12
Investigating the Normativity of Trait Estimates from Multidimensional Forced-Choice Data	12
A Bayesian Latent Variable Selection Model for Nonignorable Missingness	11
Relations between Networks, Regression, Partial Correlation, and the Latent Variable Model	10
Heterogeneity in Individual Network Analysis: Reality or Illusion?	10
Modeling Multidimensional Forced Choice Measures with the Zinnes and Griggs Pairwise Preference Item Response Theory Model	9
R-squared Measures for Multilevel Models with Three or More Levels	9
A Gentle Introduction to Bayesian Network Meta-Analysis Using an Automated R Package	8
Inferring Latent Structure in Polytomous Data with a Higher-Order Diagnostic Model	8

A Mixture Response Time Process Model for Aberrant Behaviors and Item Nonresponses	8
Wording Effects in Assessment: Missing the Trees for the Forest	8
A Generalized Partially Confirmatory Factor Analysis Framework with Mixed Bayesian Lasso Methods	8
Configurational Causal Modeling and Logic Regression	8
On Unreplicable Inferences in Psychopathology Symptom Networks and the Importance of Unreliable Parameter Estimates	8
A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data	8
Generalizability of Dynamic Fit Index, Equivalence Testing, and Hu & Bentler Cutoffs for Evaluating Fit in Factor Analysis	7
Large-Scale Survey Data Analysis with Penalized Regression: A Monte Carlo Simulation on Missing Categorical Predictors	7
How to Choose between Different Bayesian Posterior Indices for Hypothesis Testing in Practice	7
Response Surface Analysis with Missing Data	7
Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect Models	6
Moving beyond Likert and Traditional Forced-Choice Scales: A Comprehensive Investigation of the Graded Forced-Choice Format	6
Adjusting for Measurement Noninvariance with Alignment in Growth Modeling	6
Joint Hidden Markov Model for Longitudinal and Time-to-Event Data with Latent Variables	5
Bayesian Uncertainty Estimation for Gaussian Graphical Models and Centrality Indices	5
A Realistic Evaluation of Methods for Handling Missing Data When There is a Mixture of MCAR, MAR, and MNAR Mechanisms in the Same Dataset	5
Bayesian Testing of Scientific Expectations under Multivariate Normal Linear Models	5
Evaluating Covariate Effects on ESM Measurement Model Changes with Latent Markov Factor Analysis: A Three-Step Approach	5
Accommodating a Latent XM Interaction in Statistical Mediation Analysis	5
Copula-Based Redundancy Analysis	5
Extracting Nonlinear Dynamics from Psychological and Behavioral Time Series Through HAVOK Analysis	4
A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters	4
Tuning Random Forests for Causal Inference under Cluster-Level Unmeasured Confounding	4
An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions	4
Gradient Tree Boosting for Hierarchical Data	4
Modeling Changes in Response Style with Longitudinal IRTree Models	4
A Bayesian Approach to Estimating Reciprocal Effects with the Bivariate STARTS Model	4
Sequential Gibbs Sampling Algorithm for Cognitive Diagnosis Models with Many Attributes	4
Linear Ballistic Accumulator Item Response Theory Model for Multidimensional Multiple-Alternative Forced-Choice Measurement of Personality	4
The Impact of Item Feature and Response Preference in a Mixed-Format Design	4
Identifying and Estimating Causal Moderation for Treated and Targeted Subgroups	4
On the Relationship between ANOVA Main Effects and Average Treatment Effects	4
A Network Study of Family Affect Systems in Daily Life	4
Dependence Graphs Based on Association Rules to Explore Delusional Experiences	3
Bayesian Approach to Multivariate Component-Based Logistic Regression: Analyzing Correlated Multivariate Ordinal Data	3
Avoiding Degeneracies in Ordinal Unfolding Using Kemeny-Equivalent Dissimilarities for Two-Way Two-Mode Preference Rank Data	3
Pay Attention to the Ignorable Missing Data Mechanisms! An Exploration of Their Impact on the Efficiency of Regression Coefficients	3
A Mixed-Effects Model in Which the Parameters of the Autocorrelated Error Structure Can Differ between Individuals	3
Using Support Vector Machines for Facet Partitioning in Multidimensional Scaling	3
Bayesian Nonparametric Latent Class Analysis for Different Item Types	3
A Generalized Diagnostic Classification Modeling Framework Integrating Differential Speediness: Advantages and Illustrations in Psychological and Educational Testing	3
Modeling Multivariate Count Time Series Data with a Vector Poisson Log-Normal Additive Model: Applications to Testing Treatment Effects in Single-Case Designs	3
Collinearity Issues in Autoregressive Models with Time-Varying Serially Dependent Covariates	3
Bayesian Mediation Analysis with Power Prior Distributions	3
betaDelta and betaSandwich: Confidence Intervals for Standardized Regression Coefficients in R	3
Binding the Person-Specific Approach to Modern AI in the Human Screenome Project: Moving past Generalizability to Transferability	3
Bayesian Modeling of Test Reliability	3