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 2021-11-01 to 2025-11-01.)
ArticleCitations
Review of An Introduction to Modern Modeling Methods93
A Practical Guide to Using SEM Forests for Specification Search in Structural Equation Modeling92
Evaluation of Generative Adversarial Imputation Nets’ Performance in Handling Missing Data in Structural Equation Modeling85
Tutorial for Bayesian Multilevel Structural Equation Modeling Using Blimp85
Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis76
Latent Profile Transition Analysis with Random Intercepts (RI-LPTA)45
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation38
Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models37
Unsupervised Model Construction in Continuous-Time35
f MACS : Generalizing d MACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple34
Dynamic Structural Equation Modeling with Cycles29
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs27
Dynamic Fit Index Cutoffs for Hierarchical and Second-Order Factor Models24
lavaangui : A Web-Based Graphical Interface for Specifying Lavaan Models by Drawing Path Diagrams21
Review of An Introductory Guide to R.20
RGLS and RLS in Covariance Structure Analysis19
Variable Selection for Mediators under a Bayesian Mediation Model17
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial16
Comparison of Two Approaches to Detecting Switched Class Labels in LCA Simulations: Class Assignment vs. Class Similarity15
Data Smoothing Structural Equation Modeling to Study Quality of Life and Model Selection15
Circumplex Models with Multivariate Time Series: An Idiographic Approach14
Estimating the Root Mean Square Error of Approximation (RMSEA) with Multiply Imputed Data Under Non-Normality14
On the Benefit of Robust Bayesian Confirmatory Factor Analysis13
Performance of Estimation Methods in Bifactor Models with Ordered Categorical Data13
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches13
Fitting Structural Equation Models via Variational Approximations13
Recovery Accuracy of Measurement Model and Structural Coefficients of Extended Bifactor-(S-1) and (S·I-1) Models12
Finding the Optimal Number of Persons ( N ) and Time Points ( T ) for Maximal Power in Dynamic Longitudinal Models Given a Fixed Budget12
Estimating Latent Baseline-by-Treatment Interactions in Statistical Mediation Analysis12
Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM12
Detecting Measurement Noninvariance with Continuous Indicators Using Three Different Statistical Methods under the Framework of Latent Variable Modeling11
Using Structural Equation Modeling in Place of Between-Subjects Analysis of Variance11
Causal Mediation Analysis for an Ordinal Outcome with Multiple Mediators11
On the Requirements of Non-linear Dynamic Latent Class SEM: A Simulation Study with Varying Numbers of Subjects and Time Points11
Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T10
Bayesian Multilevel Mediation: Evaluation of Inaccurate Priors in Latent 1-1-1 Designs10
Sum Scores of Behavioral Measurement Scales: When Not to Recommend Them and How Structural Equation Modeling Can Help10
Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach10
Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates10
Review of Practical Psychometrics: A Guide for Test Users9
How to Evaluate Causal Dominance Hypotheses in Lagged Effects Models8
Deep Learning Generalized Structured Component Analysis: An Interpretable Artificial Neural Network Model with Composite Indexes8
A Comprehensive Evaluation of Model Selection Indices for Class Enumeration in Bayesian Latent Growth Mixture Models8
Discrete-Time Survival Analysis Incorporating Time Structure in Developmental Research7
Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases7
Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings7
Equal Precision Measurement Structural Models7
Semiparametric Structural Equation Models with Interval-Censored Data7
Application of Associative Discrete-Time Survival Analysis Using Latent Transition Specification7
Analyzing Longitudinal Multirater Data with Individually Varying Time Intervals7
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators7
Effectiveness of the Deterministic and Stochastic Bivariate Latent Change Score Models for Longitudinal Research6
Review of Artificial Neural Networks and Structural Equation Modeling Marketing and Consumer Research Applications.6
Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research6
Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance6
Uncovering Asymmetric Temporal Dynamics Using Threshold Dynamics Parameters6
Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach6
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling6
Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models6
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models6
Leveraging Observation Timing Variability to Understand Intervention Effects in Panel Studies: An Empirical Illustration and Simulation Study6
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model6
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis6
Multilevel Multigroup Structural Equation Modeling In A Single-Level Framework6
Latent Interaction Modeling with Ordinal Items: Evaluating Alternative Analytic Methods and Parceling Strategies5
Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis5
Selection of Loss Function in Covariance Structure Analysis: Case of the Spherical Model5
Confidence Interval-Based Determinations for Optimal Sample Sizes and Designs in a Random Intercept Panel Model5
Bayesian Structural Equation Models of Correlation Matrices5
Combined Logistic and Confined Exponential Growth Models: Estimation Using SEM Software5
On Inconsistency of the Overidentification Test for the Model-implied Instrumental Variable Approach5
Causal Mediation Analysis for Multivariate Longitudinal Data and Survival Outcomes5
A Structural After Measurement Approach to Bifactor Predictive Models5
Controlling for Large Sets of Measured Confounders in Mediation Analysis: Comparison of Bayesian Model Averaging, the LASSO, and Path Analysis5
Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models5
Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria5
40-Year Old Unbiased Distribution Free Estimator Reliably Improves SEM Statistics for Nonnormal Data5
Multiple Group Alignment for Exploratory and Structural Equation Models5
Two-Wave Models for Latent Changes: How Well Can They Recover the Parameters of the Three-Wave Growth Curve Model?5
The Impact of Ignoring Cross-loadings on the Sensitivity of Fit Measures in Measurement Invariance Testing5
Effect Size Interpretation in Structural Equation Models5
Reflecting on the “Robust” Standard Errors for Two-Stage SEM Estimation With Categorical Data: Mistakes and Correction4
Response Styles and Omitted Variable Bias. Detection and Mitigation4
Multiple Group Structural Equation Modeling of the Social Relations Model4
Parallel Process Latent Growth Modeling with Multivariate Confounders/Suppressors4
A Comparison of Estimators for Dynamic Structural Equation Models with Intensive Longitudinal Data4
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
Regularized Structural Equation Modeling with Both Factors and Components4
The Challenge of Generating Causal Hypotheses Using Network Models4
Sample Size Requirements for Bifactor Models4
Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change Over Time Using Latent Variable Modeling4
Structural Equation Models with Social Networks4
A Note on the Occurrence of the Illusory Between-Person Component in the Random Intercept Cross-Lagged Panel Model4
Asymptotic is Better than Bollen-Stine Bootstrapping to Assess Model Fit: The Effect of Model Size on the Chi-Square Statistic4
A Technique for Efficient Estimation of Dynamic Structural Equation Models: A Case Study4
On Selecting Indicators for SEM Models: Trade-Offs Among Variable Type, Quantity, and Quality4
Review of Measurement Theory and Applications for the Social Sciences4
Rehabilitating the Lagged Dependent Variable With Structural Equation Modeling3
Joint Deep Learning for Covariate Decomposition and Treatment Effect Estimation3
Measurement Invariance: Dealing with the Uncertainty in Anchor Item Choice by Model Averaging3
semlbci: An R package for Forming Likelihood-Based Confidence Intervals for Parameter Estimates, Correlations, Indirect Effects, and Other Derived Parameters3
Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators3
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
Exploratory Factor Analysis Trees: Evaluating Measurement Invariance Between Multiple Covariates3
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous3
Regularized 2SLS Estimation of Structural Equation Model Parameters3
Non-normal GMM with Covariates: A Modified 3-Step Analysis3
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix3
Multilevel Factor Mixture Modeling for Within-Level Constructs: A Simulation Study3
Evaluation of Structural Equation Model Forests' Performance to Identify Omitted Influential Covariates3
Latent Class Analysis with Measurement Invariance Testing: Simulation Study to Compare Overall Likelihood Ratio vs Residual Fit Statistics Based Model Selection3
Advances in the Study of Smoothing Methods for Correlation Matrices in Confirmatory Factor Analysis3
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data3
Exploring Whether Response Style Biases Manifest as Spurious Classes in Longitudinal Mixture Models3
An Evaluation of Non-Iterative Estimators in Confirmatory Factor Analysis3
An Evaluation of Methods for Meta-Analytic Structural Equation Modeling3
Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests3
Classical and Bayesian Uncertainty Intervals for the Reliability of Multidimensional Scales3
Latent Growth Models for Count Outcomes: Specification, Evaluation, and Interpretation2
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling2
Fitting Single- and Multiple-Indicator STARTS Models as Dynamic Structural Equation Models2
Investigating Structural Model Fit Evaluation2
Temporal Misalignment in Intensive Longitudinal Data: Consequences and Solutions Based on Dynamic Structural Equation Models2
Extended Unbiased Distribution Free Estimator With Mean Structures2
Studying Between-Subject Differences in Trends and Dynamics: Introducing the Random Coefficients Continuous-Time Latent Curve Model with Structured Residuals2
Parameter Recovery for Misspecified Latent Mediation Models in the Bayesian Framework2
Review of Bayesian Structural Equation Modeling2
Univariate Autoregressive Structural Equation Models as Mixed-Effects Models2
Sensitivity Analysis of the Weights of the Composites Under Partial Least-Squares Approach to Structural Equation Modeling2
Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect2
The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation2
Scale-Invariance, Equivariance and Dependency of Structural Equation Models2
A Note on Comparing Equivalence Testing with Conventional Criteria in Evaluating the Overall Fit of Structural Equation Models2
Practical Psychometrics: A Guide for Test Users2
Latent Curve Detrending for Disaggregating Between-Person Effect and Within-Person Effect2
A Guide to Detecting and Modeling Local Dependence in Latent Class Analysis Models2
Review of An Introduction to Multivariate Statistics R SPSS SAS2
Circumplex Models With Ordinal Data2
Latent Growth Model with Categorical Indicators: Comparison of the Different Estimators2
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
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling2
Correction2
On the Meaning of Measurement Invariance in Social Relations—Confirmatory Factor Analysis for Relative Variance Parameters2
Incorporating Individual Differences in Conjoint Analysis: A Structural Equation Modeling Approach2
Applying Benford’s Law for Assessing the Validity of Social Science Data2
Fitting Covariance Structure Models With Arbitrary Observed Distributions: Strong Convergence of the Asymptotically Distribution-Free Estimator2
Causal Effects of Time-Varying Exposures: A Comparison of Structural Equation Modeling and Marginal Structural Models in Cross-Lagged Panel Research2
Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance2
Latent Variable Modeling of Social Networks with Directional Relations: An Exploration of Profile Similarity of Latent Factors2
Review of Handbook of Structural Equation Modeling2
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