OOIR: Observatory of International Research

Papers

(The TQCC of Structural Equation Modeling-A Multidisciplinary Journal is 4. 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
A Comparison of Different Approaches for Estimating Cross-Lagged Effects from a Causal Inference Perspective	56
Assessing Cutoff Values of SEM Fit Indices: Advantages of the Unbiased SRMR Index and Its Cutoff Criterion Based on Communality	47
Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook	43
Power Analysis for the Random Intercept Cross-Lagged Panel Model Using the`powRICLPM`R-Package	40
Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons	37
Item Meaning and Order as Causes of Correlated Residuals in Confirmatory Factor Analysis	35
Residual Structural Equation Models	30
Computational Options for Standard Errors and Test Statistics with Incomplete Normal and Nonnormal Data in SEM	29
Measurement in Intensive Longitudinal Data	29
Multilevel Analysis of Mediation, Moderation, and Nonlinear Effects in Small Samples, Using Expected a Posteriori Estimates of Factor Scores	24
Multiple Group Alignment for Exploratory and Structural Equation Models	24
Sample Size Requirements for Bifactor Models	22
Exploring the Enumeration Accuracy of Cross-Validation Indices in Latent Class Analysis	21
Equivalence of Partial-Least-Squares SEM and the Methods of Factor-Score Regression	19
Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis	16
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects	16
The Challenge of Generating Causal Hypotheses Using Network Models	15
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling	15
Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures	14
Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus	13
Bayesian Causal Mediation Analysis with Latent Mediators and Survival Outcome	13
Penalized Structural Equation Models	12
Python Packages for Exploratory Factor Analysis	12
Flexible Extensions to Structural Equation Models Using Computation Graphs	11
Croon’s Bias-Corrected Estimation of Latent Interactions	11

A Comparison of FIML- versus Multiple-imputation-based methods to test measurement invariance with incomplete ordinal variables	11
The Impact of Item Parceling on Structural Parameter Invariance in Multi-group Structural Equation Modeling	10
A Bayesian Regularized Approach to Exploratory Factor Analysis in One Step	10
Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models	10
Advantages of Spike and Slab Priors for Detecting Differential Item Functioning Relative to Other Bayesian Regularizing Priors and Frequentist Lasso	10
Using Ant Colony Optimization for Sensitivity Analysis in Structural Equation Modeling	10
Parameter Specification in Bayesian CFA: An Exploration of Multivariate and Separation Strategy Priors	9
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data	9
Expanding the Bayesian structural equation, multilevel and mixture models to logit, negative-binomial, and nominal variables	9
Caught off Base: A Note on the Interpretation of Incremental Fit Indices	8
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models	8
Sensitivity of Fit Measures to Lack of Measurement Invariance in Exploratory Structural Equation Modeling	8
Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm	8
Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects	8
Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings	7
Illustrating the Value of Prior Predictive Checking for Bayesian Structural Equation Modeling	7
Benefits of Doing Generalizability Theory Analyses within Structural Equation Modeling Frameworks: Illustrations Using the Rosenberg Self-Esteem Scale	7
A Closer Look at Random and Fixed Effects Panel Regression in Structural Equation Modeling Using Lavaan	7
AIC-type Theory-Based Model Selection for Structural Equation Models	7
Analyzing Multivariate Generalizability Theory Designs within Structural Equation Modeling Frameworks	7
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial	7
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)	7
SEM-Based Out-of-Sample Predictions	7
The Impact of Scaling Methods on the Properties and Interpretation of Parameter Estimates in Structural Equation Models with Latent Variables	7
Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling: A Monte Carlo Simulation Study	7
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous	7
Review of Composite-based Structural Equation Modeling: Analyzing Latent and Emergent Variables	6
Multilevel Mixture Modeling with Propensity Score Weights for Quasi-Experimental Evaluation of Virtual Learning Environments	6
Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance	6
Partially Confirmatory Approach to Factor Analysis with Bayesian Learning: A LAWBL Tutorial	6
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis	6
Fitting the Longitudinal Actor-Partner Interdependence Model as a Dynamic Structural Equation Model in Mplus	6
An Open-source WYSIWYG Web Application for Drawing Path Diagrams of Structural Equation Models	6
Recommended Practices in Latent Class Analysis Using the Open-Source R-Package tidySEM	6
Exploring the Performance of Latent Moderated Structural Equations Approach for Ordered-Categorical Items	6
Fitting Structural Equation Models via Variational Approximations	6
Testing Piecewise Structural Equations Models in the Presence of Latent Variables and Including Correlated Errors	6
Bayesian Multilevel Structural Equation Modeling: An Investigation into Robust Prior Distributions for the Doubly Latent Categorical Model	6
Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables	6
Striving for Sparsity: On Exact and Approximate Solutions in Regularized Structural Equation Models	6
Can Ridge and Elastic Net Structural Equation Modeling be Used to Stabilize Parameter Estimates when Latent Factors are Correlated?	6
Impact of Informative Priors on Model Fit Indices in Bayesian Confirmatory Factor Analysis	6
Stepwise Latent Class Analysis in the Presence of Missing Values on the Class Indicators	5
GSCA Pro—Free Stand-Alone Software for Structural Equation Modeling	5
Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person–Situation Interactions of Psychological Dynamics	5
A Guide to Detecting and Modeling Local Dependence in Latent Class Analysis Models	5
Testing Model Fit in Path Models with Dependent Errors Given Non-Normality, Non-Linearity and Hierarchical Data	5
Latent Logistic Interaction Modeling: A Simulation and Empirical Illustration of Type D Personality	5
Evaluation of Model Fit in Structural Equation Models with Ordinal Missing Data: A Comparison of the D₂ and MI2S Methods	5
Effects of Multivariate Non-Normality and Missing Data on the Root Mean Square Error of Approximation	5

Effectiveness of the Deterministic and Stochastic Bivariate Latent Change Score Models for Longitudinal Research	4
Evaluation of Goodness-of-Fit Tests in Random Intercept Cross-Lagged Panel Model: Implications for Small Samples	4
Specification Search in Structural Equation Modeling (SEM): How Gradient Component-wise Boosting can Contribute	4
Rehabilitating the Lagged Dependent Variable With Structural Equation Modeling	4
The Impact of Model Size on the Sensitivity of Fit Measures in Measurement Invariance Testing	4
Multiple Group Structural Equation Modeling of the Social Relations Model	4
Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis	4
Model-Selection-Based Approaches to Identifying the Optimal Number of Factors in Multilevel Exploratory Factor Analysis	4
A Faster Procedure for Estimating CFA Models Applying Minimum Distance Estimators with a Fixed Weight Matrix	4
Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling	4
Asymptotic is Better than Bollen-Stine Bootstrapping to Assess Model Fit: The Effect of Model Size on the Chi-Square Statistic	4
Distributionally-Weighted Least Squares in Growth Curve Modeling	4
Resampling Based Bias Correction for Small Sample SEM	4
Products of Variables in Structural Equation Models	4
Where Did I Go Wrong with My Model? Ten Tips for Getting Results in SEM	4
Testing Mean and Covariance Structures with Reweighted Least Squares	4
Non-normal Data Simulation using Piecewise Linear Transforms	4
General Factor Mean Difference Estimation in Bifactor Models with Ordinal Data	4