Structural Equation Modeling-A Multidisciplinary Journal

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 2021-02-01 to 2025-02-01.)
ArticleCitations
Comparison of Three Approaches to Class Enumeration in Growth Mixture Modeling when Time Structures are Variant Across Latent Classes56
Review of Applied Univariate, Bivariate, and Multivariate Statistics Using Python by Daniel Denis47
Testing Mean and Covariance Structures with Reweighted Least Squares45
PolychoricRM: A Computationally Efficient R Function for Estimating Polychoric Correlations and their Asymptotic Covariance Matrix43
Flexible Extensions to Structural Equation Models Using Computation Graphs37
Correcting for Unreliability and Partial Invariance: A Two-Stage Path Analysis Approach37
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous35
A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes30
Review of An Introduction to Modern Modeling Methods29
Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos24
Python Packages for Exploratory Factor Analysis24
blcfa: An R Package for Bayesian Model Modification in Confirmatory Factor Analysis22
Review of Educational and Psychological Measurement19
Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models16
Application of Associative Discrete-Time Survival Analysis Using Latent Transition Specification16
Analyzing Longitudinal Multirater Data with Individually Varying Time Intervals15
Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling15
Equal Precision Measurement Structural Models14
Latent Class Analysis with Measurement Invariance Testing: Simulation Study to Compare Overall Likelihood Ratio vs Residual Fit Statistics Based Model Selection13
Fitting Structural Equations Models with Interactive and Dynamic Tools in JMP® Pro13
Testing Piecewise Structural Equations Models in the Presence of Latent Variables and Including Correlated Errors12
Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples12
Latent Profile Transition Analysis with Random Intercepts (RI-LPTA)11
Specification Search in Structural Equation Modeling (SEM): How Gradient Component-wise Boosting can Contribute11
Evaluating Causal Dominance of CTmeta-Analyzed Lagged Regression Estimates11
A Model-Based Shrinkage Target to Avoid Non-convergence in Small Sample SEM10
Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person–Situation Interactions of Psychological Dynamics10
Effects of Multivariate Non-Normality and Missing Data on the Root Mean Square Error of Approximation10
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)10
Unsupervised Model Construction in Continuous-Time9
Multilevel Dynamic Twin Modeling9
Discrete-Time Survival Analysis Incorporating Time Structure in Developmental Research9
Estimating the Weight Matrix in Distributionally Weighted Least Squares Estimation: An Empirical Bayesian Solution8
Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases8
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis8
Testing Model Fit in Path Models with Dependent Errors Given Non-Normality, Non-Linearity and Hierarchical Data8
Assessing the Relative Importance of Predictors in Latent Regression Models8
Latent Curve Detrending for Disaggregating Between-Person Effect and Within-Person Effect8
A Closer Look at Random and Fixed Effects Panel Regression in Structural Equation Modeling Using Lavaan7
Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures7
Scale-Invariance, Equivariance and Dependency of Structural Equation Models7
Improving the Statistical Performance of Oblique Bifactor Measurement and Predictive Models: An Augmentation Approach7
Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm7
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects7
Investigating Structural Model Fit Evaluation7
The Impact of Non-Normality on Causal Effect Estimates in Structural Equation Models with Ordered Categorical Variables7
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling7
Multilevel Analysis of Mediation, Moderation, and Nonlinear Effects in Small Samples, Using Expected a Posteriori Estimates of Factor Scores7
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators7
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation7
An Alternative Prior for Estimation in High-Dimensional Settings6
Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis6
Measurement Invariance: Dealing with the Uncertainty in Anchor Item Choice by Model Averaging6
Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data6
Dynamic Fit Index Cutoffs for Hierarchical and Second-Order Factor Models6
An Evaluation of Methods for Meta-Analytic Structural Equation Modeling6
Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach6
The Impact of “Negligible” Cross-Loadings in Investigations of Measurement Invariance with MGCFA and MGESEM6
Review of Artificial Neural Networks and Structural Equation Modeling Marketing and Consumer Research Applications.6
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model6
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models6
Semiparametric Structural Equation Models with Interval-Censored Data6
Joint Deep Learning for Covariate Decomposition and Treatment Effect Estimation6
Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance6
Review of Structural Equation Modeling with lavaan, Kamel Gana and Guillaume Broc6
Incorporating Measurement Error in the Dynamic Structural Equation Modeling Using a Single Indicator or Multiple Indicators5
Testing Measurement Invariance over Time with Intensive Longitudinal Data and Identifying a Source of Non-invariance5
An Evaluation of Non-Iterative Estimators in Confirmatory Factor Analysis5
semlbci: An R package for Forming Likelihood-Based Confidence Intervals for Parameter Estimates, Correlations, Indirect Effects, and Other Derived Parameters5
Bayesian Computation via the Gibbs Sampler for Mixture Models with Gaussian Distal Outcomes5
Using Ant Colony Optimization for Sensitivity Analysis in Structural Equation Modeling5
Causal Mediation Analysis with the Parallel Process Latent Growth Curve Mediation Model5
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling4
Impact of Informative Priors on Model Fit Indices in Bayesian Confirmatory Factor Analysis4
Review of Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide4
Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research4
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix4
Evaluation of Goodness-of-Fit Tests in Random Intercept Cross-Lagged Panel Model: Implications for Small Samples4
Regularized 2SLS Estimation of Structural Equation Model Parameters4
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data4
Bayesian Causal Mediation Analysis with Latent Mediators and Survival Outcome4
lavaangui : A Web-Based Graphical Interface for Specifying Lavaan Models by Drawing Path Diagrams4
The Specification and Impact of Prior Distributions for Categorical Latent Variable Models4
Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM4
Revisiting Savalei’s (2011) Research on Remediating Zero-Frequency Cells in Estimating Polychoric Correlations: A Data Distribution Perspective4
Leveraging Observation Timing Variability to Understand Intervention Effects in Panel Studies: An Empirical Illustration and Simulation Study4
Multilevel Multigroup Structural Equation Modeling In A Single-Level Framework4
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs4
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