Structural Equation Modeling-A Multidisciplinary Journal

Papers
(The median citation count of Structural Equation Modeling-A Multidisciplinary Journal is 1. 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.)
ArticleCitations
A Comparison of Different Approaches for Estimating Cross-Lagged Effects from a Causal Inference Perspective56
Assessing Cutoff Values of SEM Fit Indices: Advantages of the Unbiased SRMR Index and Its Cutoff Criterion Based on Communality47
Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook43
Power Analysis for the Random Intercept Cross-Lagged Panel Model Using thepowRICLPMR-Package40
Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons37
Item Meaning and Order as Causes of Correlated Residuals in Confirmatory Factor Analysis35
Residual Structural Equation Models30
Computational Options for Standard Errors and Test Statistics with Incomplete Normal and Nonnormal Data in SEM29
Measurement in Intensive Longitudinal Data29
Multiple Group Alignment for Exploratory and Structural Equation Models24
Multilevel Analysis of Mediation, Moderation, and Nonlinear Effects in Small Samples, Using Expected a Posteriori Estimates of Factor Scores24
Sample Size Requirements for Bifactor Models22
Exploring the Enumeration Accuracy of Cross-Validation Indices in Latent Class Analysis21
Equivalence of Partial-Least-Squares SEM and the Methods of Factor-Score Regression19
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects16
Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis16
The Challenge of Generating Causal Hypotheses Using Network Models15
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling15
Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures14
Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus13
Bayesian Causal Mediation Analysis with Latent Mediators and Survival Outcome13
Penalized Structural Equation Models12
Python Packages for Exploratory Factor Analysis12
Flexible Extensions to Structural Equation Models Using Computation Graphs11
Croon’s Bias-Corrected Estimation of Latent Interactions11
A Comparison of FIML- versus Multiple-imputation-based methods to test measurement invariance with incomplete ordinal variables11
A Bayesian Regularized Approach to Exploratory Factor Analysis in One Step10
Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models10
Advantages of Spike and Slab Priors for Detecting Differential Item Functioning Relative to Other Bayesian Regularizing Priors and Frequentist Lasso10
Using Ant Colony Optimization for Sensitivity Analysis in Structural Equation Modeling10
The Impact of Item Parceling on Structural Parameter Invariance in Multi-group Structural Equation Modeling10
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data9
Expanding the Bayesian structural equation, multilevel and mixture models to logit, negative-binomial, and nominal variables9
Parameter Specification in Bayesian CFA: An Exploration of Multivariate and Separation Strategy Priors9
Sensitivity of Fit Measures to Lack of Measurement Invariance in Exploratory Structural Equation Modeling8
Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm8
Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects8
Caught off Base: A Note on the Interpretation of Incremental Fit Indices8
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models8
AIC-type Theory-Based Model Selection for Structural Equation Models7
Analyzing Multivariate Generalizability Theory Designs within Structural Equation Modeling Frameworks7
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial7
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 Predictions7
The Impact of Scaling Methods on the Properties and Interpretation of Parameter Estimates in Structural Equation Models with Latent Variables7
Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling: A Monte Carlo Simulation Study7
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous7
Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings7
Illustrating the Value of Prior Predictive Checking for Bayesian Structural Equation Modeling7
Benefits of Doing Generalizability Theory Analyses within Structural Equation Modeling Frameworks: Illustrations Using the Rosenberg Self-Esteem Scale7
A Closer Look at Random and Fixed Effects Panel Regression in Structural Equation Modeling Using Lavaan7
Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance6
Partially Confirmatory Approach to Factor Analysis with Bayesian Learning: A LAWBL Tutorial6
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis6
Fitting the Longitudinal Actor-Partner Interdependence Model as a Dynamic Structural Equation Model in Mplus6
An Open-source WYSIWYG Web Application for Drawing Path Diagrams of Structural Equation Models6
Recommended Practices in Latent Class Analysis Using the Open-Source R-Package tidySEM6
Exploring the Performance of Latent Moderated Structural Equations Approach for Ordered-Categorical Items6
Fitting Structural Equation Models via Variational Approximations6
Testing Piecewise Structural Equations Models in the Presence of Latent Variables and Including Correlated Errors6
Bayesian Multilevel Structural Equation Modeling: An Investigation into Robust Prior Distributions for the Doubly Latent Categorical Model6
Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables6
Striving for Sparsity: On Exact and Approximate Solutions in Regularized Structural Equation Models6
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 Analysis6
Review of Composite-based Structural Equation Modeling: Analyzing Latent and Emergent Variables6
Multilevel Mixture Modeling with Propensity Score Weights for Quasi-Experimental Evaluation of Virtual Learning Environments6
A Guide to Detecting and Modeling Local Dependence in Latent Class Analysis Models5
Testing Model Fit in Path Models with Dependent Errors Given Non-Normality, Non-Linearity and Hierarchical Data5
Latent Logistic Interaction Modeling: A Simulation and Empirical Illustration of Type D Personality5
Evaluation of Model Fit in Structural Equation Models with Ordinal Missing Data: A Comparison of the D2 and MI2S Methods5
Effects of Multivariate Non-Normality and Missing Data on the Root Mean Square Error of Approximation5
Stepwise Latent Class Analysis in the Presence of Missing Values on the Class Indicators5
GSCA Pro—Free Stand-Alone Software for Structural Equation Modeling5
Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person–Situation Interactions of Psychological Dynamics5
Multiple Group Structural Equation Modeling of the Social Relations Model4
Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis4
Model-Selection-Based Approaches to Identifying the Optimal Number of Factors in Multilevel Exploratory Factor Analysis4
A Faster Procedure for Estimating CFA Models Applying Minimum Distance Estimators with a Fixed Weight Matrix4
Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling4
Rehabilitating the Lagged Dependent Variable With Structural Equation Modeling4
The Impact of Model Size on the Sensitivity of Fit Measures in Measurement Invariance Testing4
Resampling Based Bias Correction for Small Sample SEM4
Products of Variables in Structural Equation Models4
Where Did I Go Wrong with My Model? Ten Tips for Getting Results in SEM4
Testing Mean and Covariance Structures with Reweighted Least Squares4
Asymptotic is Better than Bollen-Stine Bootstrapping to Assess Model Fit: The Effect of Model Size on the Chi-Square Statistic4
Distributionally-Weighted Least Squares in Growth Curve Modeling4
General Factor Mean Difference Estimation in Bifactor Models with Ordinal Data4
Effectiveness of the Deterministic and Stochastic Bivariate Latent Change Score Models for Longitudinal Research4
Evaluation of Goodness-of-Fit Tests in Random Intercept Cross-Lagged Panel Model: Implications for Small Samples4
Specification Search in Structural Equation Modeling (SEM): How Gradient Component-wise Boosting can Contribute4
Non-normal Data Simulation using Piecewise Linear Transforms4
Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models3
Sensitivity Analysis of the Weights of the Composites Under Partial Least-Squares Approach to Structural Equation Modeling3
A Monte Carlo Simulation Study on the Influence of Unequal Group Sizes on Parameter Estimation in Multilevel Confirmatory Factor Analysis3
Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance3
The Effect of Model Size on the Root Mean Square Error of Approximation (RMSEA): The Nonnormal Case3
Variable Selection for Mediators under a Bayesian Mediation Model3
Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria3
Hierarchical Covariance Estimation Approach to Meta-Analytic Structural Equation Modeling3
PolychoricRM: A Computationally Efficient R Function for Estimating Polychoric Correlations and their Asymptotic Covariance Matrix3
A Model Comparison Approach to Posterior Predictive Model Checks in Bayesian Confirmatory Factor Analysis3
Understanding the Deviance Information Criterion for SEM: Cautions in Prior Specification3
40-Year Old Unbiased Distribution Free Estimator Reliably Improves SEM Statistics for Nonnormal Data3
Testing Measurement Invariance over Time with Intensive Longitudinal Data and Identifying a Source of Non-invariance3
blcfa: An R Package for Bayesian Model Modification in Confirmatory Factor Analysis3
Precluding Interpretational Confounding in Factor Analysis with a Covariate or Outcome via Measurement and Uncertainty Preserving Parametric Modeling2
A Dynamic Approach to Control for Cohort Differences in Maturation Speed Using Accelerated Longitudinal Designs2
Measurement Invariance: Dealing with the Uncertainty in Anchor Item Choice by Model Averaging2
Bayesian Multilevel Mediation: Evaluation of Inaccurate Priors in Latent 1-1-1 Designs2
Assessing the Relative Importance of Predictors in Latent Regression Models2
Classical Models for Twin Data: The Case of Categorical Data2
Review of Applied Univariate, Bivariate, and Multivariate Statistics Using Python by Daniel Denis2
Partitioning Variance for a Within-Level Predictor in Multilevel Models2
Studying Between-Subject Differences in Trends and Dynamics: Introducing the Random Coefficients Continuous-Time Latent Curve Model with Structured Residuals2
An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation2
Using Structural Equation Modeling in Place of Between-Subjects Analysis of Variance2
A Reply to “Structural Parameters under Partial Least Squares and Covariance-based Structural Equation Modeling: A Comment on Yuan and Deng (2021)” by Schuberth, Rosseel, Rönkkö, Trichera, Kline, and 2
Review of A Beginner’s Guide to Structural Equation Modeling2
Croon’s Bias-corrected Estimation for Multilevel Structural Equation Models with Latent Interactions2
An Evaluation of Non-Iterative Estimators in the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM)2
semlbci: An R package for Forming Likelihood-Based Confidence Intervals for Parameter Estimates, Correlations, Indirect Effects, and Other Derived Parameters2
Generalized Structural Equation Model with Survival Outcomes and Time-Varying Coefficients2
Improving the Statistical Performance of Oblique Bifactor Measurement and Predictive Models: An Augmentation Approach2
Exploratory Factor Analysis Trees: Evaluating Measurement Invariance Between Multiple Covariates2
Evaluating Causal Dominance of CTmeta-Analyzed Lagged Regression Estimates2
Estimating Latent Baseline-by-Treatment Interactions in Statistical Mediation Analysis2
The SEM Reliability Paradox in a Bayesian Framework2
Testing for Factor Loading Differences in Mixture Simultaneous Factor Analysis: A Monte Carlo Simulation-Based Perspective2
The regDIF R Package: Evaluating Complex Sources of Measurement Bias Using Regularized Differential Item Functioning2
A Note on Jöreskog’s ACDE Twin Model: A Solution, Not the Solution2
Effect of Parameterization on Statistical Power and Effect Size Estimation in Latent Growth Modeling2
Causal Mediation Analysis for Multivariate Longitudinal Data and Survival Outcomes2
Is Item Imputation Always Better? An Investigation of Wave-Missing Data in Growth Models2
Evaluating the Performance of the LI3P in Latent Profile Analysis Models2
Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data2
Deep Learning Generalized Structured Component Analysis: An Interpretable Artificial Neural Network Model with Composite Indexes2
Latent Curve Detrending for Disaggregating Between-Person Effect and Within-Person Effect2
Effects of Mixing Weights and Predictor Distributions on Regression Mixture Models2
Correcting for Unreliability and Partial Invariance: A Two-Stage Path Analysis Approach2
A Simple Two-Step Procedure for Fitting Fully Unrestricted Exploratory Factor Analytic Solutions with Correlated Residuals2
Latent Growth Modeling with Categorical Response Data: A Methodological Investigation of Model Parameterization, Estimation, and Missing Data2
R-squared Measures for Multilevel Mixture Models with Random Effects2
Finding the Optimal Number of Persons ( N ) and Time Points ( T ) for Maximal Power in Dynamic Longitudinal Models Given a Fixed Budget2
Univariate Autoregressive Structural Equation Models as Mixed-Effects Models2
A Causal Framework for the Comparability of Latent Variables2
On the Performance of Different Regularization Methods in Bifactor-(S-1) Models with Explanatory Variables—Caveats, Recommendations, and Future Directions2
Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models1
Temporal Misalignment in Intensive Longitudinal Data: Consequences and Solutions Based on Dynamic Structural Equation Models1
Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach1
Mixed Effects of Item Parceling on Performance of Factor Mixture Modeling1
Recovery Accuracy of Measurement Model and Structural Coefficients of Extended Bifactor-(S-1) and (S·I-1) Models1
Extended Unbiased Distribution Free Estimator With Mean Structures1
Detecting Prior-Data Disagreement in Bayesian Structural Equation Modeling1
A Note on the Occurrence of the Illusory Between-Person Component in the Random Intercept Cross-Lagged Panel Model1
Circumplex Models With Ordinal Data1
Augmented Bifactor Models and Bifactor-(S-1) Models are Identical. A Comment on Zhang, Luo, Zhang, Sun & Zhang (2023)1
Are the Signs of Factor Loadings Arbitrary in Confirmatory Factor Analysis? Problems and Solutions1
Revisiting the Impact of Measurement Quality on Targeted Structural Model Fit Indexes in Structural Equation Modeling1
Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p-value, and Credible Interval1
The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation1
Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators1
Using SymPy (Symbolic Python) for Understanding Structural Equation Modeling1
Review of Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide1
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model1
An Evaluation of Methods for Meta-Analytic Structural Equation Modeling1
Review of An Introduction to Multivariate Statistics R SPSS SAS1
Classical and Bayesian Uncertainty Intervals for the Reliability of Multidimensional Scales1
Does Acquiescence Disagree with Measurement Invariance Testing?1
The Impact of Omitting Confounders in Parallel Process Latent Growth Curve Mediation Models: Three Sensitivity Analysis Approaches1
Review of Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods (6th ed.)1
Can We Distinguish between Different Longitudinal Models for Estimating Nonlinear Trajectories?1
Joint Effects in Cross-Lagged Panel Research Using Structural Nested Mean Models1
Comparing Factor Score Approaches to SEM in Multigroup Models with Small Samples1
Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T1
Latent Growth Models for Count Outcomes: Specification, Evaluation, and Interpretation1
On the Requirements of Non-linear Dynamic Latent Class SEM: A Simulation Study with Varying Numbers of Subjects and Time Points1
One Does Not Simply Correct for Serial Dependence1
Detecting Latent Classes Through Mediation in Regression Mixture Models1
Review of Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R (2nd ed.)1
Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM1
Leveraging Observation Timing Variability to Understand Intervention Effects in Panel Studies: An Empirical Illustration and Simulation Study1
Dynamic Fit Index Cutoffs for Hierarchical and Second-Order Factor Models1
Equal Precision Measurement Structural Models1
Detecting Model Misspecification in Bayesian Piecewise Growth Models1
A Semiparametric Approach for Structural Equation Modeling with Ordinal Data1
Performance of Estimation Methods in Bifactor Models with Ordered Categorical Data1
Measurement Invariance is Not Sufficient for Meaningful and Valid Group Comparisons: A Note on Robitzsch and Lüdtke1
Selection of Loss Function in Covariance Structure Analysis: Case of the Spherical Model1
Causal Effects of Time-Varying Exposures: A Comparison of Structural Equation Modeling and Marginal Structural Models in Cross-Lagged Panel Research1
Estimating Measurement Error in Longitudinal Data Using the Longitudinal MultiTrait MultiError Approach1
Quantifying Individual Personality Change More Accurately by Regression-Based Change Scores1
To Be Long or To Be Wide: How Data Format Influences Convergence and Estimation Accuracy in Multilevel Structural Equation Modeling1
Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests1
RGLS and RLS in Covariance Structure Analysis1
The Impact of Partial Measurement Invariance on Between-group Comparisons of Second-Order Factor Means1
Everything in Moderation: A Proposed Improvement to Variance Calculation for Visualizing Latent Endogenous Moderation1
The Impact of Ignoring Cross-loadings on the Sensitivity of Fit Measures in Measurement Invariance Testing1
The Specification and Impact of Prior Distributions for Categorical Latent Variable Models1
Review of Handbook of Structural Equation Modeling1
An Evaluation of Non-Iterative Estimators in Confirmatory Factor Analysis1
A Model-Based Shrinkage Target to Avoid Non-convergence in Small Sample SEM1
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