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 2021-07-01 to 2025-07-01.)
ArticleCitations
Review of An Introduction to Modern Modeling Methods82
Latent Profile Transition Analysis with Random Intercepts (RI-LPTA)65
Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis65
f MACS : Generalizing d MACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple63
Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models60
Comparison of Three Approaches to Class Enumeration in Growth Mixture Modeling when Time Structures are Variant Across Latent Classes46
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation43
Unsupervised Model Construction in Continuous-Time33
lavaangui : A Web-Based Graphical Interface for Specifying Lavaan Models by Drawing Path Diagrams30
Dynamic Fit Index Cutoffs for Hierarchical and Second-Order Factor Models29
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs25
Dynamic Structural Equation Modeling with Cycles24
RGLS and RLS in Covariance Structure Analysis22
Review of An Introductory Guide to R.22
Variable Selection for Mediators under a Bayesian Mediation Model19
Comparison of Two Approaches to Detecting Switched Class Labels in LCA Simulations: Class Assignment vs. Class Similarity17
Circumplex Models with Multivariate Time Series: An Idiographic Approach17
Fitting Structural Equation Models via Variational Approximations15
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial14
Data Smoothing Structural Equation Modeling to Study Quality of Life and Model Selection14
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches13
Performance of Estimation Methods in Bifactor Models with Ordered Categorical Data13
Recovery Accuracy of Measurement Model and Structural Coefficients of Extended Bifactor-(S-1) and (S·I-1) Models12
Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM12
On the Benefit of Robust Bayesian Confirmatory Factor Analysis11
Estimating Latent Baseline-by-Treatment Interactions in Statistical Mediation Analysis11
Using Structural Equation Modeling in Place of Between-Subjects Analysis of Variance11
Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T10
Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach10
Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates10
On the Requirements of Non-linear Dynamic Latent Class SEM: A Simulation Study with Varying Numbers of Subjects and Time Points10
Causal Mediation Analysis for an Ordinal Outcome with Multiple Mediators10
Finding the Optimal Number of Persons ( N ) and Time Points ( T ) for Maximal Power in Dynamic Longitudinal Models Given a Fixed Budget10
Detecting Measurement Noninvariance with Continuous Indicators Using Three Different Statistical Methods under the Framework of Latent Variable Modeling10
Bayesian Multilevel Mediation: Evaluation of Inaccurate Priors in Latent 1-1-1 Designs10
Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings9
How to Evaluate Causal Dominance Hypotheses in Lagged Effects Models9
Deep Learning Generalized Structured Component Analysis: An Interpretable Artificial Neural Network Model with Composite Indexes9
Review of Practical Psychometrics: A Guide for Test Users9
Semiparametric Structural Equation Models with Interval-Censored Data9
Effects of Mixing Weights and Predictor Distributions on Regression Mixture Models9
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators8
Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach8
Analyzing Longitudinal Multirater Data with Individually Varying Time Intervals7
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis7
Discrete-Time Survival Analysis Incorporating Time Structure in Developmental Research7
Equal Precision Measurement Structural Models7
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling7
Application of Associative Discrete-Time Survival Analysis Using Latent Transition Specification7
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models7
Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases7
Review of Artificial Neural Networks and Structural Equation Modeling Marketing and Consumer Research Applications.6
Using a Cross-Classified Multilevel Mediation Model (CC-M3) with Longitudinal Data Having Changes in Cluster Membership6
Multilevel Multigroup Structural Equation Modeling In A Single-Level Framework6
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model6
Effectiveness of the Deterministic and Stochastic Bivariate Latent Change Score Models for Longitudinal Research6
Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research6
Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance6
Leveraging Observation Timing Variability to Understand Intervention Effects in Panel Studies: An Empirical Illustration and Simulation Study6
Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria6
Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models6
40-Year Old Unbiased Distribution Free Estimator Reliably Improves SEM Statistics for Nonnormal Data6
Latent Interaction Modeling with Ordinal Items: Evaluating Alternative Analytic Methods and Parceling Strategies5
On Inconsistency of the Overidentification Test for the Model-implied Instrumental Variable Approach5
Effect Size Interpretation in Structural Equation Models5
Selection of Loss Function in Covariance Structure Analysis: Case of the Spherical Model5
Multiple Group Alignment for Exploratory and Structural Equation Models5
Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis5
Two-Wave Models for Latent Changes: How Well Can They Recover the Parameters of the Three-Wave Growth Curve Model?5
Causal Mediation Analysis for Multivariate Longitudinal Data and Survival Outcomes5
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
Sample Size Requirements for Bifactor Models4
Combined Logistic and Confined Exponential Growth Models: Estimation Using SEM Software4
Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change Over Time Using Latent Variable Modeling4
A Note on the Occurrence of the Illusory Between-Person Component in the Random Intercept Cross-Lagged Panel Model4
Reflecting on the “Robust” Standard Errors for Two-Stage SEM Estimation With Categorical Data: Mistakes and Correction4
Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models4
The Impact of Ignoring Cross-loadings on the Sensitivity of Fit Measures in Measurement Invariance Testing4
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
Review of Measurement Theory and Applications for the Social Sciences4
Parallel Process Latent Growth Modeling with Multivariate Confounders/Suppressors4
Multiple Group Structural Equation Modeling of the Social Relations Model4
The Challenge of Generating Causal Hypotheses Using Network Models4
On Selecting Indicators for SEM Models: Trade-Offs Among Variable Type, Quantity, and Quality4
Structural Equation Models with Social Networks4
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