Structural Equation Modeling-A Multidisciplinary Journal

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 2020-04-01 to 2024-04-01.)
ArticleCitations
Three Extensions of the Random Intercept Cross-Lagged Panel Model312
Causal Mediation Programs in R, Mplus, SAS, SPSS, and Stata67
Advances in Bayesian Model Fit Evaluation for Structural Equation Models57
On the Differences between General Cross-Lagged Panel Model and Random-Intercept Cross-Lagged Panel Model: Interpretation of Cross-Lagged Parameters and Model Choice57
Bayesian estimation of single and multilevel models with latent variable interactions49
Collapsing Categories is Often More Advantageous than Modeling Sparse Data: Investigations in the CFA Framework46
Probing Two-way Moderation Effects: A Review of Software to Easily Plot Johnson-Neyman Figures45
On the Performance of Bayesian Approaches in Small Samples: A Comment on Smid, McNeish, Miocevic, and van de Schoot (2020)38
A Comparison of Different Approaches for Estimating Cross-Lagged Effects from a Causal Inference Perspective37
Assessing Cutoff Values of SEM Fit Indices: Advantages of the Unbiased SRMR Index and Its Cutoff Criterion Based on Communality34
How to Perform Three-Step Latent Class Analysis in the Presence of Measurement Non-Invariance or Differential Item Functioning31
Computational Options for Standard Errors and Test Statistics with Incomplete Normal and Nonnormal Data in SEM27
Sample Size Recommendations for Continuous-Time Models: Compensating Shorter Time Series with Larger Numbers of Persons and Vice Versa27
Effects of Cross-loadings on Determining the Number of Factors to Retain27
The Use of Traditional and Causal Estimators for Mediation Models with a Binary Outcome and Exposure-Mediator Interaction25
Item Meaning and Order as Causes of Correlated Residuals in Confirmatory Factor Analysis24
Measurement in Intensive Longitudinal Data23
Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook21
Multilevel Analysis of Mediation, Moderation, and Nonlinear Effects in Small Samples, Using Expected a Posteriori Estimates of Factor Scores20
Residual Structural Equation Models19
Sample Size Requirements for Bifactor Models17
Exploring the Enumeration Accuracy of Cross-Validation Indices in Latent Class Analysis16
Equivalence of Partial-Least-Squares SEM and the Methods of Factor-Score Regression15
Teacher’s Corner: Evaluating Informative Hypotheses Using the Bayes Factor in Structural Equation Models15
Power Analysis for the Random Intercept Cross-Lagged Panel Model Using the powRICLPM R-Package14
Modeling Intraindividual Variability in Growth with Measurement Burst Designs14
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects13
Forecasting Causal Effects of Interventions versus Predicting Future Outcomes13
Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures13
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling12
Multilevel CFA with Ordered Categorical Data: A Simulation Study Comparing Fit Indices Across Robust Estimation Methods12
Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis11
Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons11
Multiple Group Alignment for Exploratory and Structural Equation Models10
Python Packages for Exploratory Factor Analysis10
Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus10
Flexible Extensions to Structural Equation Models Using Computation Graphs10
Finding Clusters of Measurement Invariant Items for Continuous Covariates9
The Impact of Item Parceling on Structural Parameter Invariance in Multi-group Structural Equation Modeling9
Croon’s Bias-Corrected Estimation of Latent Interactions9
Using Ant Colony Optimization for Sensitivity Analysis in Structural Equation Modeling9
A Comparison of FIML- versus Multiple-imputation-based methods to test measurement invariance with incomplete ordinal variables9
The Challenge of Generating Causal Hypotheses Using Network Models9
Accounting for Time-Varying Inter-Individual Differences in Trajectories when Assessing Cross-Lagged Models8
Advantages of Spike and Slab Priors for Detecting Differential Item Functioning Relative to Other Bayesian Regularizing Priors and Frequentist Lasso8
Fit Difference Between Nonnested Models Given Categorical Data: Measures and Estimation8
Penalized Structural Equation Models8
Classical Models for Twin Data7
Parameter Specification in Bayesian CFA: An Exploration of Multivariate and Separation Strategy Priors7
Expanding the Bayesian structural equation, multilevel and mixture models to logit, negative-binomial, and nominal variables7
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models7
Bayesian Causal Mediation Analysis with Latent Mediators and Survival Outcome7
A Bayesian Regularized Approach to Exploratory Factor Analysis in One Step7
AIC-type Theory-Based Model Selection for Structural Equation Models6
Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance6
Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects6
Review of Composite-based Structural Equation Modeling: Analyzing Latent and Emergent Variables6
Analyzing Multivariate Generalizability Theory Designs within Structural Equation Modeling Frameworks6
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data6
Caught off Base: A Note on the Interpretation of Incremental Fit Indices6
Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings6
Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling: A Monte Carlo Simulation Study6
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous6
Using Information Criteria Under Missing Data: Full Information Maximum Likelihood Versus Two-Stage Estimation5
Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables5
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 Small5
A Closer Look at Random and Fixed Effects Panel Regression in Structural Equation Modeling Using Lavaan5
Modeling Measurement Errors of the Exogenous Composites From Congeneric Measures in Interaction Models5
Latent Logistic Interaction Modeling: A Simulation and Empirical Illustration of Type D Personality5
The Impact of Scaling Methods on the Properties and Interpretation of Parameter Estimates in Structural Equation Models with Latent Variables5
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial5
Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm5
An Open-source WYSIWYG Web Application for Drawing Path Diagrams of Structural Equation Models5
Fitting the Longitudinal Actor-Partner Interdependence Model as a Dynamic Structural Equation Model in Mplus5
Multilevel Mixture Modeling with Propensity Score Weights for Quasi-Experimental Evaluation of Virtual Learning Environments5
Exploring the Performance of Latent Moderated Structural Equations Approach for Ordered-Categorical Items5
Effects of Multivariate Non-Normality and Missing Data on the Root Mean Square Error of Approximation5
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