OOIR: Observatory of International Research

Papers

(The TQCC of Structural Equation Modeling-A Multidisciplinary Journal 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 2020-05-01 to 2024-05-01.)

Article	Citations
Three Extensions of the Random Intercept Cross-Lagged Panel Model	327
Causal Mediation Programs in R, Mplus, SAS, SPSS, and Stata	71
On the Differences between General Cross-Lagged Panel Model and Random-Intercept Cross-Lagged Panel Model: Interpretation of Cross-Lagged Parameters and Model Choice	62
Advances in Bayesian Model Fit Evaluation for Structural Equation Models	57
Bayesian estimation of single and multilevel models with latent variable interactions	52
Collapsing Categories is Often More Advantageous than Modeling Sparse Data: Investigations in the CFA Framework	48
Probing Two-way Moderation Effects: A Review of Software to Easily Plot Johnson-Neyman Figures	45
A Comparison of Different Approaches for Estimating Cross-Lagged Effects from a Causal Inference Perspective	39
On the Performance of Bayesian Approaches in Small Samples: A Comment on Smid, McNeish, Miocevic, and van de Schoot (2020)	38
Assessing Cutoff Values of SEM Fit Indices: Advantages of the Unbiased SRMR Index and Its Cutoff Criterion Based on Communality	35
How to Perform Three-Step Latent Class Analysis in the Presence of Measurement Non-Invariance or Differential Item Functioning	33
Effects of Cross-loadings on Determining the Number of Factors to Retain	28
Sample Size Recommendations for Continuous-Time Models: Compensating Shorter Time Series with Larger Numbers of Persons and Vice Versa	28
Computational Options for Standard Errors and Test Statistics with Incomplete Normal and Nonnormal Data in SEM	27
The Use of Traditional and Causal Estimators for Mediation Models with a Binary Outcome and Exposure-Mediator Interaction	26
Item Meaning and Order as Causes of Correlated Residuals in Confirmatory Factor Analysis	25
Measurement in Intensive Longitudinal Data	23
Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook	22
Residual Structural Equation Models	21
Multilevel Analysis of Mediation, Moderation, and Nonlinear Effects in Small Samples, Using Expected a Posteriori Estimates of Factor Scores	20
Sample Size Requirements for Bifactor Models	19
Equivalence of Partial-Least-Squares SEM and the Methods of Factor-Score Regression	17
Exploring the Enumeration Accuracy of Cross-Validation Indices in Latent Class Analysis	16
Power Analysis for the Random Intercept Cross-Lagged Panel Model Using the `powRICLPM` R-Package	16
Teacher’s Corner: Evaluating Informative Hypotheses Using the Bayes Factor in Structural Equation Models	15

Modeling Intraindividual Variability in Growth with Measurement Burst Designs	14
Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures	14
Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons	14
Forecasting Causal Effects of Interventions versus Predicting Future Outcomes	14
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects	13
Multiple Group Alignment for Exploratory and Structural Equation Models	12
Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis	12
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling	12
Multilevel CFA with Ordered Categorical Data: A Simulation Study Comparing Fit Indices Across Robust Estimation Methods	12
Python Packages for Exploratory Factor Analysis	11
A Comparison of FIML- versus Multiple-imputation-based methods to test measurement invariance with incomplete ordinal variables	10
Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus	10
Finding Clusters of Measurement Invariant Items for Continuous Covariates	10
Flexible Extensions to Structural Equation Models Using Computation Graphs	10
The Challenge of Generating Causal Hypotheses Using Network Models	10
The Impact of Item Parceling on Structural Parameter Invariance in Multi-group Structural Equation Modeling	9
Croon’s Bias-Corrected Estimation of Latent Interactions	9
Using Ant Colony Optimization for Sensitivity Analysis in Structural Equation Modeling	9
Penalized Structural Equation Models	9
Fit Difference Between Nonnested Models Given Categorical Data: Measures and Estimation	9
Accounting for Time-Varying Inter-Individual Differences in Trajectories when Assessing Cross-Lagged Models	8
Advantages of Spike and Slab Priors for Detecting Differential Item Functioning Relative to Other Bayesian Regularizing Priors and Frequentist Lasso	8
Expanding the Bayesian structural equation, multilevel and mixture models to logit, negative-binomial, and nominal variables	7
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data	7
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models	7
Analyzing Multivariate Generalizability Theory Designs within Structural Equation Modeling Frameworks	7
Bayesian Causal Mediation Analysis with Latent Mediators and Survival Outcome	7
A Bayesian Regularized Approach to Exploratory Factor Analysis in One Step	7
Classical Models for Twin Data	7
Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling: A Monte Carlo Simulation Study	7
Parameter Specification in Bayesian CFA: An Exploration of Multivariate and Separation Strategy Priors	7
Caught off Base: A Note on the Interpretation of Incremental Fit Indices	6
The Impact of Scaling Methods on the Properties and Interpretation of Parameter Estimates in Structural Equation Models with Latent Variables	6
A Closer Look at Random and Fixed Effects Panel Regression in Structural Equation Modeling Using Lavaan	6
Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings	6
Review of Composite-based Structural Equation Modeling: Analyzing Latent and Emergent Variables	6
Benefits of Doing Generalizability Theory Analyses within Structural Equation Modeling Frameworks: Illustrations Using the Rosenberg Self-Esteem Scale	6
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous	6
AIC-type Theory-Based Model Selection for Structural Equation Models	6
Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance	6
Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects	6
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)	5
Latent Logistic Interaction Modeling: A Simulation and Empirical Illustration of Type D Personality	5
An Open-source WYSIWYG Web Application for Drawing Path Diagrams of Structural Equation Models	5
Can Ridge and Elastic Net Structural Equation Modeling be Used to Stabilize Parameter Estimates when Latent Factors are Correlated?	5
Multilevel Autoregressive Models when the Number of Time Points is Small	5
Impact of Informative Priors on Model Fit Indices in Bayesian Confirmatory Factor Analysis	5
Effects of Multivariate Non-Normality and Missing Data on the Root Mean Square Error of Approximation	5
Fitting the Longitudinal Actor-Partner Interdependence Model as a Dynamic Structural Equation Model in Mplus	5
Modeling Measurement Errors of the Exogenous Composites From Congeneric Measures in Interaction Models	5

Multilevel Mixture Modeling with Propensity Score Weights for Quasi-Experimental Evaluation of Virtual Learning Environments	5
Which Method is More Reliable in Performing Model Modification: Lasso Regularization or Lagrange Multiplier Test?	5
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial	5
Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models	5
Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm	5
Using Information Criteria Under Missing Data: Full Information Maximum Likelihood Versus Two-Stage Estimation	5
Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables	5
SEM-Based Out-of-Sample Predictions	5
Exploring the Performance of Latent Moderated Structural Equations Approach for Ordered-Categorical Items	5
A Cautionary Note on Identification and Scaling Issues in Second-order Latent Growth Models	5
Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person–Situation Interactions of Psychological Dynamics	5