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 2021-04-01 to 2025-04-01.)
ArticleCitations
Comparison of Three Approaches to Class Enumeration in Growth Mixture Modeling when Time Structures are Variant Across Latent Classes73
A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes56
Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos53
Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples52
Review of An Introduction to Modern Modeling Methods49
Python Packages for Exploratory Factor Analysis42
Equal Precision Measurement Structural Models41
Latent Class Analysis with Measurement Invariance Testing: Simulation Study to Compare Overall Likelihood Ratio vs Residual Fit Statistics Based Model Selection39
Review of Educational and Psychological Measurement38
Application of Associative Discrete-Time Survival Analysis Using Latent Transition Specification26
Analyzing Longitudinal Multirater Data with Individually Varying Time Intervals24
Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models24
Flexible Extensions to Structural Equation Models Using Computation Graphs20
Testing Mean and Covariance Structures with Reweighted Least Squares18
Review of Applied Univariate, Bivariate, and Multivariate Statistics Using Python by Daniel Denis18
Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling16
Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person–Situation Interactions of Psychological Dynamics16
PolychoricRM: A Computationally Efficient R Function for Estimating Polychoric Correlations and their Asymptotic Covariance Matrix16
Evaluating Causal Dominance of CTmeta-Analyzed Lagged Regression Estimates16
Specification Search in Structural Equation Modeling (SEM): How Gradient Component-wise Boosting can Contribute15
Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests14
The Impact of “Negligible” Cross-Loadings in Investigations of Measurement Invariance with MGCFA and MGESEM14
Effects of Multivariate Non-Normality and Missing Data on the Root Mean Square Error of Approximation13
A Model-Based Shrinkage Target to Avoid Non-convergence in Small Sample SEM13
Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures12
Unsupervised Model Construction in Continuous-Time11
The Impact of Non-Normality on Causal Effect Estimates in Structural Equation Models with Ordered Categorical Variables11
Discrete-Time Survival Analysis Incorporating Time Structure in Developmental Research11
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis11
Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases11
Improving the Statistical Performance of Oblique Bifactor Measurement and Predictive Models: An Augmentation Approach10
Investigating Structural Model Fit Evaluation10
Assessing the Relative Importance of Predictors in Latent Regression Models10
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation10
Testing Model Fit in Path Models with Dependent Errors Given Non-Normality, Non-Linearity and Hierarchical Data9
Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach9
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models9
Correcting for Unreliability and Partial Invariance: A Two-Stage Path Analysis Approach9
An Evaluation of Methods for Meta-Analytic Structural Equation Modeling9
Semiparametric Structural Equation Models with Interval-Censored Data9
Multilevel Dynamic Twin Modeling9
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects9
Latent Curve Detrending for Disaggregating Between-Person Effect and Within-Person Effect8
Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm8
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous8
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)8
An Alternative Prior for Estimation in High-Dimensional Settings7
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling7
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators7
Scale-Invariance, Equivariance and Dependency of Structural Equation Models7
A Closer Look at Random and Fixed Effects Panel Regression in Structural Equation Modeling Using Lavaan7
Estimating the Weight Matrix in Distributionally Weighted Least Squares Estimation: An Empirical Bayesian Solution6
SEM Approach to the Mediation Analysis of the Two-Condition Within-Subject Design6
Precluding Interpretational Confounding in Factor Analysis with a Covariate or Outcome via Measurement and Uncertainty Preserving Parametric Modeling6
Incorporating Measurement Error in the Dynamic Structural Equation Modeling Using a Single Indicator or Multiple Indicators6
Latent Profile Transition Analysis with Random Intercepts (RI-LPTA)6
Review of Artificial Neural Networks and Structural Equation Modeling Marketing and Consumer Research Applications.6
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data6
semlbci: An R package for Forming Likelihood-Based Confidence Intervals for Parameter Estimates, Correlations, Indirect Effects, and Other Derived Parameters6
Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis6
Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators6
Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data6
Leveraging Observation Timing Variability to Understand Intervention Effects in Panel Studies: An Empirical Illustration and Simulation Study5
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model5
Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM5
Model-Selection-Based Approaches to Identifying the Optimal Number of Factors in Multilevel Exploratory Factor Analysis5
Revisiting Savalei’s (2011) Research on Remediating Zero-Frequency Cells in Estimating Polychoric Correlations: A Data Distribution Perspective5
modsem : An R Package for Estimating Latent Interactions and Quadratic Effects5
Hierarchical Covariance Estimation Approach to Meta-Analytic Structural Equation Modeling5
Dynamic Structural Equation Modeling with Cycles5
The Specification and Impact of Prior Distributions for Categorical Latent Variable Models5
Regularized 2SLS Estimation of Structural Equation Model Parameters5
lavaangui : A Web-Based Graphical Interface for Specifying Lavaan Models by Drawing Path Diagrams5
Review of Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide4
Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations4
Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects4
Impact of Informative Priors on Model Fit Indices in Bayesian Confirmatory Factor Analysis4
Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research4
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs4
Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling: A Monte Carlo Simulation Study4
Effectiveness of the Deterministic and Stochastic Bivariate Latent Change Score Models for Longitudinal Research4
Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance4
A Monte Carlo Simulation Study on the Influence of Unequal Group Sizes on Parameter Estimation in Multilevel Confirmatory Factor Analysis4
Multilevel Multigroup Structural Equation Modeling In A Single-Level Framework4
Evaluation of Goodness-of-Fit Tests in Random Intercept Cross-Lagged Panel Model: Implications for Small Samples4
Review of Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R (2nd ed.)4
Where Did I Go Wrong with My Model? Ten Tips for Getting Results in SEM4
Bayesian Computation via the Gibbs Sampler for Mixture Models with Gaussian Distal Outcomes4
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix4
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling4
Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models3
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling3
Testing Measurement Invariance over Time with Intensive Longitudinal Data and Identifying a Source of Non-invariance3
Bayesian Causal Mediation Analysis with Latent Mediators and Survival Outcome3
Testing for Within × Within and Between × Within Moderation Using Random Intercept Cross-Lagged Panel Models3
Dynamic Fit Index Cutoffs for Hierarchical and Second-Order Factor Models3
An Evaluation of Non-Iterative Estimators in Confirmatory Factor Analysis3
GSCA Pro—Free Stand-Alone Software for Structural Equation Modeling3
Causal Mediation Analysis with the Parallel Process Latent Growth Curve Mediation Model3
Measurement Invariance: Dealing with the Uncertainty in Anchor Item Choice by Model Averaging3
Joint Deep Learning for Covariate Decomposition and Treatment Effect Estimation3
40-Year Old Unbiased Distribution Free Estimator Reliably Improves SEM Statistics for Nonnormal Data3
Non-normal GMM with Covariates: A Modified 3-Step Analysis3
D-Scoring Method of Measurement Classical and Latent Frameworks2
Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria2
The Sensitivity of Bayesian Fit Indices to Structural Misspecification in Structural Equation Modeling2
Equivalence of Partial-Least-Squares SEM and the Methods of Factor-Score Regression2
Latent Growth Models for Count Outcomes: Specification, Evaluation, and Interpretation2
Multiple Group Alignment for Exploratory and Structural Equation Models2
On Inconsistency of the Overidentification Test for the Model-implied Instrumental Variable Approach2
Products of Variables in Structural Equation Models2
Partially Confirmatory Approach to Factor Analysis with Bayesian Learning: A LAWBL Tutorial2
A Comparison of Different Approaches for Estimating Cross-Lagged Effects from a Causal Inference Perspective2
A Structural After Measurement Approach to Bifactor Predictive Models2
Are the Signs of Factor Loadings Arbitrary in Confirmatory Factor Analysis? Problems and Solutions2
To Be Long or To Be Wide: How Data Format Influences Convergence and Estimation Accuracy in Multilevel Structural Equation Modeling2
Sensitivity Analysis of the Weights of the Composites Under Partial Least-Squares Approach to Structural Equation Modeling2
Circumplex Models with Multivariate Time Series: An Idiographic Approach2
Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis2
Variable Selection for Mediators under a Bayesian Mediation Model2
Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p-value, and Credible Interval2
Review of An Introductory Guide to R.2
On the Performance of Different Regularization Methods in Bifactor-(S-1) Models with Explanatory Variables—Caveats, Recommendations, and Future Directions2
Everything in Moderation: A Proposed Improvement to Variance Calculation for Visualizing Latent Endogenous Moderation2
RGLS and RLS in Covariance Structure Analysis2
Review of A Beginner’s Guide to Structural Equation Modeling2
Sensitivity of Fit Measures to Lack of Measurement Invariance in Exploratory Structural Equation Modeling2
Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models2
Understanding the Deviance Information Criterion for SEM: Cautions in Prior Specification2
Comparing MIMIC and MIMIC-interaction to Alignment Methods for Investigating Measurement Invariance concerning a Continuous Violator2
Croon’s Bias-corrected Estimation for Multilevel Structural Equation Models with Latent Interactions2
Performance of Model Fit and Selection Indices for Bayesian Piecewise Growth Modeling with Missing Data2
Comparison of Two Approaches to Detecting Switched Class Labels in LCA Simulations: Class Assignment vs. Class Similarity2
Comparing Factor Score Approaches to SEM in Multigroup Models with Small Samples2
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial2
A Causal Framework for the Comparability of Latent Variables2
Fitting Structural Equation Models via Variational Approximations2
Data Smoothing Structural Equation Modeling to Study Quality of Life and Model Selection2
Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus2
The Impact of Item Parceling on Structural Parameter Invariance in Multi-group Structural Equation Modeling2
Benefits of Doing Generalizability Theory Analyses within Structural Equation Modeling Frameworks: Illustrations Using the Rosenberg Self-Esteem Scale2
Using a Cross-Classified Multilevel Mediation Model (CC-M3) with Longitudinal Data Having Changes in Cluster Membership2
Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect2
One Does Not Simply Correct for Serial Dependence2
Review of Handbook of Structural Equation Modeling Review of Handbook of Structural Equation Modeling (2nd ed.), Edited by Rick H. Hoyle, 1
Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM1
Modeling Retest Effects in Developmental Processes Using Latent Change Score Models1
Evaluation of Maximal Reliability for Multidimensional Measuring Instruments Using Structural Equation Modeling1
On the Benefit of Robust Bayesian Confirmatory Factor Analysis1
Sample Size Requirements for Bifactor Models1
Signaling Model Misspecification in Latent Class Analysis1
A Technique for Efficient Estimation of Dynamic Structural Equation Models: A Case Study1
Causal Mediation Analysis for Multivariate Longitudinal Data and Survival Outcomes1
Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach1
Regression-Equivalent Effect Sizes for Latent Growth Modeling and Associated Null Hypothesis Significance Tests1
Univariate Autoregressive Structural Equation Models as Mixed-Effects Models1
Selection of Loss Function in Covariance Structure Analysis: Case of the Spherical Model1
The Challenge of Generating Causal Hypotheses Using Network Models1
Resampling Based Bias Correction for Small Sample SEM1
Circumplex Models With Ordinal Data1
Less Heuristic Approximate Local Fit Evaluation in Structural Equation Models1
Analyzing Multivariate Generalizability Theory Designs within Structural Equation Modeling Frameworks1
A Model Comparison Approach to Posterior Predictive Model Checks in Bayesian Confirmatory Factor Analysis1
The Impact of Ignoring Cross-loadings on the Sensitivity of Fit Measures in Measurement Invariance Testing1
Evaluation of Model Fit in Structural Equation Models with Ordinal Missing Data: A Comparison of the D2 and MI2S Methods1
Latent Growth Model with Categorical Indicators: Comparison of the Different Estimators1
Can We Differentiate a Latent Growth Curve Model from Competitors? Evidence Based on Individual Case Residuals1
Detecting Latent Classes Through Mediation in Regression Mixture Models1
The Impact of Omitting Confounders in Parallel Process Latent Growth Curve Mediation Models: Three Sensitivity Analysis Approaches1
A Note on Jöreskog’s ACDE Twin Model: A Solution, Not the Solution1
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches1
Estimating and Testing Random Intercept Multilevel Structural Equation Models with Model Implied Instrumental Variables1
Label Switching in Latent Class Analysis: Accuracy of Classification, Parameter Estimates, and Confidence Intervals1
Using SymPy (Symbolic Python) for Understanding Structural Equation Modeling1
Combined Logistic and Confined Exponential Growth Models: Estimation Using SEM Software1
Performance of Estimation Methods in Bifactor Models with Ordered Categorical Data1
Understanding Dyad, Person, and Contextual Effects in Dyadic Analysis1
Correction1
Measurement in Intensive Longitudinal Data1
Recovery Accuracy of Measurement Model and Structural Coefficients of Extended Bifactor-(S-1) and (S·I-1) Models1
Multiple Group Structural Equation Modeling of the Social Relations Model1
Detecting Prior-Data Disagreement in Bayesian Structural Equation Modeling1
Estimating Measurement Error in Longitudinal Data Using the Longitudinal MultiTrait MultiError Approach1
Two-Wave Models for Latent Changes: How Well Can They Recover the Parameters of the Three-Wave Growth Curve Model?1
Review of Handbook of Structural Equation Modeling1
Can Ridge and Elastic Net Structural Equation Modeling be Used to Stabilize Parameter Estimates when Latent Factors are Correlated?1
Latent Variable Modeling of Social Networks with Directional Relations: An Exploration of Profile Similarity of Latent Factors1
Effect Size Interpretation in Structural Equation Models1
Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models1
Can We Distinguish between Different Longitudinal Models for Estimating Nonlinear Trajectories?1
Bayesian Structural Equation Models of Correlation Matrices1
Three-Step Latent Class Analysis with Inverse Propensity Weighting in the Presence of Differential Item Functioning1
Comparing Methods for Factor Score Estimation in Structural Equation Modeling: The Role of Network Analysis1
Penalized Structural Equation Models1
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 1
Teaching the Mechanics of Factor Analysis Using Excel Spreadsheets1
New Developments in Measurement Invariance Testing: An Overview and Comparison of EFA-Based Approaches1
Review of Handbook of Structural Equation Modeling (2nd ed.)1
Power Analysis for the Random Intercept Cross-Lagged Panel Model Using thepowRICLPMR-Package1
Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons1
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