Structural Equation Modeling-A Multidisciplinary Journal

Papers
(The median citation count of Structural Equation Modeling-A Multidisciplinary Journal is 2. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Review of An Introduction to Modern Modeling Methods88
A Practical Guide to Using SEM Forests for Specification Search in Structural Equation Modeling76
Evaluation of Generative Adversarial Imputation Nets’ Performance in Handling Missing Data in Structural Equation Modeling74
Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models67
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation66
Unsupervised Model Construction in Continuous-Time49
Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis44
f MACS : Generalizing d MACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple34
Tutorial for Bayesian Multilevel Structural Equation Modeling Using Blimp33
Latent Profile Transition Analysis with Random Intercepts (RI-LPTA)31
Dynamic Fit Index Cutoffs for Hierarchical and Second-Order Factor Models30
lavaangui : A Web-Based Graphical Interface for Specifying Lavaan Models by Drawing Path Diagrams25
Dynamic Structural Equation Modeling with Cycles24
Review of An Introductory Guide to R.22
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs22
RGLS and RLS in Covariance Structure Analysis19
Variable Selection for Mediators under a Bayesian Mediation Model18
Circumplex Models with Multivariate Time Series: An Idiographic Approach15
Comparison of Two Approaches to Detecting Switched Class Labels in LCA Simulations: Class Assignment vs. Class Similarity15
Fitting Structural Equation Models via Variational Approximations15
Data Smoothing Structural Equation Modeling to Study Quality of Life and Model Selection14
Performance of Estimation Methods in Bifactor Models with Ordered Categorical Data13
Estimating the Root Mean Square Error of Approximation (RMSEA) with Multiply Imputed Data Under Non-Normality13
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial13
Recovery Accuracy of Measurement Model and Structural Coefficients of Extended Bifactor-(S-1) and (S·I-1) Models11
Estimating Latent Baseline-by-Treatment Interactions in Statistical Mediation Analysis11
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches11
Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM11
On the Benefit of Robust Bayesian Confirmatory Factor Analysis11
Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T10
Detecting Measurement Noninvariance with Continuous Indicators Using Three Different Statistical Methods under the Framework of Latent Variable Modeling10
Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings10
Using Structural Equation Modeling in Place of Between-Subjects Analysis of Variance10
Causal Mediation Analysis for an Ordinal Outcome with Multiple Mediators10
Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates10
Bayesian Multilevel Mediation: Evaluation of Inaccurate Priors in Latent 1-1-1 Designs10
Finding the Optimal Number of Persons ( N ) and Time Points ( T ) for Maximal Power in Dynamic Longitudinal Models Given a Fixed Budget10
On the Requirements of Non-linear Dynamic Latent Class SEM: A Simulation Study with Varying Numbers of Subjects and Time Points10
Review of Practical Psychometrics: A Guide for Test Users10
How to Evaluate Causal Dominance Hypotheses in Lagged Effects Models9
Semiparametric Structural Equation Models with Interval-Censored Data9
Deep Learning Generalized Structured Component Analysis: An Interpretable Artificial Neural Network Model with Composite Indexes9
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators9
Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach9
Analyzing Longitudinal Multirater Data with Individually Varying Time Intervals8
Application of Associative Discrete-Time Survival Analysis Using Latent Transition Specification8
Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach8
Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases7
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling7
Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models7
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis7
Equal Precision Measurement Structural Models7
Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance7
Discrete-Time Survival Analysis Incorporating Time Structure in Developmental Research7
Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research7
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models7
Review of Artificial Neural Networks and Structural Equation Modeling Marketing and Consumer Research Applications.6
Multilevel Multigroup Structural Equation Modeling In A Single-Level Framework6
Causal Mediation Analysis for Multivariate Longitudinal Data and Survival Outcomes6
Latent Interaction Modeling with Ordinal Items: Evaluating Alternative Analytic Methods and Parceling Strategies6
Effectiveness of the Deterministic and Stochastic Bivariate Latent Change Score Models for Longitudinal Research6
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model6
Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria6
Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis6
40-Year Old Unbiased Distribution Free Estimator Reliably Improves SEM Statistics for Nonnormal Data6
Uncovering Asymmetric Temporal Dynamics Using Threshold Dynamics Parameters6
Using a Cross-Classified Multilevel Mediation Model (CC-M3) with Longitudinal Data Having Changes in Cluster Membership6
Leveraging Observation Timing Variability to Understand Intervention Effects in Panel Studies: An Empirical Illustration and Simulation Study6
Two-Wave Models for Latent Changes: How Well Can They Recover the Parameters of the Three-Wave Growth Curve Model?5
A Structural After Measurement Approach to Bifactor Predictive Models5
Bayesian Structural Equation Models of Correlation Matrices5
A Technique for Efficient Estimation of Dynamic Structural Equation Models: A Case Study5
Multiple Group Alignment for Exploratory and Structural Equation Models5
Combined Logistic and Confined Exponential Growth Models: Estimation Using SEM Software5
The Impact of Ignoring Cross-loadings on the Sensitivity of Fit Measures in Measurement Invariance Testing5
On Inconsistency of the Overidentification Test for the Model-implied Instrumental Variable Approach5
Selection of Loss Function in Covariance Structure Analysis: Case of the Spherical Model5
Multiple Group Structural Equation Modeling of the Social Relations Model4
Structural Equation Models with Social Networks4
Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models4
A Comparison of Estimators for Dynamic Structural Equation Models with Intensive Longitudinal Data4
Reflecting on the “Robust” Standard Errors for Two-Stage SEM Estimation With Categorical Data: Mistakes and Correction4
Exploratory Factor Analysis Trees: Evaluating Measurement Invariance Between Multiple Covariates4
Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change Over Time Using Latent Variable Modeling4
Sample Size Requirements for Bifactor Models4
Review of Measurement Theory and Applications for the Social Sciences4
The regDIF R Package: Evaluating Complex Sources of Measurement Bias Using Regularized Differential Item Functioning4
Generalized Structural Equation Model with Survival Outcomes and Time-Varying Coefficients4
On Selecting Indicators for SEM Models: Trade-Offs Among Variable Type, Quantity, and Quality4
Effect Size Interpretation in Structural Equation Models4
The Challenge of Generating Causal Hypotheses Using Network Models4
Parallel Process Latent Growth Modeling with Multivariate Confounders/Suppressors4
A Note on the Occurrence of the Illusory Between-Person Component in the Random Intercept Cross-Lagged Panel Model4
Classical and Bayesian Uncertainty Intervals for the Reliability of Multidimensional Scales4
Measurement Invariance: Dealing with the Uncertainty in Anchor Item Choice by Model Averaging3
An Evaluation of Methods for Meta-Analytic Structural Equation Modeling3
Testing Mean and Covariance Structures with Reweighted Least Squares3
Evaluation of Structural Equation Model Forests' Performance to Identify Omitted Influential Covariates3
Multilevel Factor Mixture Modeling for Within-Level Constructs: A Simulation Study3
Advances in the Study of Smoothing Methods for Correlation Matrices in Confirmatory Factor Analysis3
Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators3
An Evaluation of Non-Iterative Estimators in Confirmatory Factor Analysis3
Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests3
Rehabilitating the Lagged Dependent Variable With Structural Equation Modeling3
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous3
Latent Class Analysis with Measurement Invariance Testing: Simulation Study to Compare Overall Likelihood Ratio vs Residual Fit Statistics Based Model Selection3
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling3
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data3
Joint Deep Learning for Covariate Decomposition and Treatment Effect Estimation3
Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling3
Investigating Latent Interaction Effects in Multiple-Group Analysis in the Structural Equation Modeling Framework3
Asymptotic is Better than Bollen-Stine Bootstrapping to Assess Model Fit: The Effect of Model Size on the Chi-Square Statistic3
Regularized 2SLS Estimation of Structural Equation Model Parameters3
Non-normal GMM with Covariates: A Modified 3-Step Analysis3
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling3
Studying Between-Subject Differences in Trends and Dynamics: Introducing the Random Coefficients Continuous-Time Latent Curve Model with Structured Residuals2
Flexible Extensions to Structural Equation Models Using Computation Graphs2
Review of An Introduction to Multivariate Statistics R SPSS SAS2
Circumplex Models With Ordinal Data2
A Guide to Detecting and Modeling Local Dependence in Latent Class Analysis Models2
Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance2
Review of Handbook of Structural Equation Modeling2
Sensitivity Analysis of the Weights of the Composites Under Partial Least-Squares Approach to Structural Equation Modeling2
Sensitivity of Fit Measures to Lack of Measurement Invariance in Exploratory Structural Equation Modeling2
Fitting Single- and Multiple-Indicator STARTS Models as Dynamic Structural Equation Models2
Investigating Structural Model Fit Evaluation2
SEM Approach to the Mediation Analysis of the Two-Condition Within-Subject Design2
Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm2
Scale-Invariance, Equivariance and Dependency of Structural Equation Models2
Applying Benford’s Law for Assessing the Validity of Social Science Data2
Latent Growth Model with Categorical Indicators: Comparison of the Different Estimators2
Temporal Misalignment in Intensive Longitudinal Data: Consequences and Solutions Based on Dynamic Structural Equation Models2
The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation2
On the Meaning of Measurement Invariance in Social Relations—Confirmatory Factor Analysis for Relative Variance Parameters2
Latent Variable Modeling of Social Networks with Directional Relations: An Exploration of Profile Similarity of Latent Factors2
Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus2
Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect2
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix2
Correction2
Causal Effects of Time-Varying Exposures: A Comparison of Structural Equation Modeling and Marginal Structural Models in Cross-Lagged Panel Research2
Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person–Situation Interactions of Psychological Dynamics2
A Note on Comparing Equivalence Testing with Conventional Criteria in Evaluating the Overall Fit of Structural Equation Models2
Testing Model Fit in Path Models with Dependent Errors Given Non-Normality, Non-Linearity and Hierarchical Data2
Extended Unbiased Distribution Free Estimator With Mean Structures2
Univariate Autoregressive Structural Equation Models as Mixed-Effects Models2
Parameter Recovery for Misspecified Latent Mediation Models in the Bayesian Framework2
Review of Bayesian Structural Equation Modeling2
Practical Psychometrics: A Guide for Test Users2
Estimating and Testing Random Intercept Multilevel Structural Equation Models with Model Implied Instrumental Variables2
Performance of Model Fit and Selection Indices for Bayesian Piecewise Growth Modeling with Missing Data2
Latent Growth Models for Count Outcomes: Specification, Evaluation, and Interpretation2
semlbci: An R package for Forming Likelihood-Based Confidence Intervals for Parameter Estimates, Correlations, Indirect Effects, and Other Derived Parameters2
Incorporating Individual Differences in Conjoint Analysis: A Structural Equation Modeling Approach2
Review of Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R (2nd ed.)2
Latent Curve Detrending for Disaggregating Between-Person Effect and Within-Person Effect2
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