Structural Equation Modeling-A Multidisciplinary Journal

Papers
(The TQCC of Structural Equation Modeling-A Multidisciplinary Journal is 5. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Review of An Introduction to Modern Modeling Methods77
Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis62
f MACS : Generalizing d MACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple60
Latent Profile Transition Analysis with Random Intercepts (RI-LPTA)59
Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models58
Comparison of Three Approaches to Class Enumeration in Growth Mixture Modeling when Time Structures are Variant Across Latent Classes44
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation40
Unsupervised Model Construction in Continuous-Time30
lavaangui : A Web-Based Graphical Interface for Specifying Lavaan Models by Drawing Path Diagrams28
Dynamic Fit Index Cutoffs for Hierarchical and Second-Order Factor Models27
Dynamic Structural Equation Modeling with Cycles23
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs23
RGLS and RLS in Covariance Structure Analysis21
Review of An Introductory Guide to R.21
Variable Selection for Mediators under a Bayesian Mediation Model19
Circumplex Models with Multivariate Time Series: An Idiographic Approach18
Comparison of Two Approaches to Detecting Switched Class Labels in LCA Simulations: Class Assignment vs. Class Similarity17
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial17
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 Data14
On the Benefit of Robust Bayesian Confirmatory Factor Analysis14
Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM12
Recovery Accuracy of Measurement Model and Structural Coefficients of Extended Bifactor-(S-1) and (S·I-1) Models12
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches12
Using Structural Equation Modeling in Place of Between-Subjects Analysis of Variance12
Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates11
Estimating Latent Baseline-by-Treatment Interactions in Statistical Mediation Analysis11
Latent Growth Modeling with Categorical Response Data: A Methodological Investigation of Model Parameterization, Estimation, and Missing Data10
Detecting Measurement Noninvariance with Continuous Indicators Using Three Different Statistical Methods under the Framework of Latent Variable Modeling10
On the Requirements of Non-linear Dynamic Latent Class SEM: A Simulation Study with Varying Numbers of Subjects and Time Points10
Finding the Optimal Number of Persons ( N ) and Time Points ( T ) for Maximal Power in Dynamic Longitudinal Models Given a Fixed Budget10
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
Causal Mediation Analysis for an Ordinal Outcome with Multiple Mediators10
Bayesian Multilevel Structural Equation Modeling: An Investigation into Robust Prior Distributions for the Doubly Latent Categorical Model10
Croon’s Bias-Corrected Estimation of Latent Interactions10
Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings9
Effects of Mixing Weights and Predictor Distributions on Regression Mixture Models9
Deep Learning Generalized Structured Component Analysis: An Interpretable Artificial Neural Network Model with Composite Indexes9
How to Evaluate Causal Dominance Hypotheses in Lagged Effects Models9
Semiparametric Structural Equation Models with Interval-Censored Data9
Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach9
Review of Practical Psychometrics: A Guide for Test Users9
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
Discrete-Time Survival Analysis Incorporating Time Structure in Developmental Research7
Evaluating Causal Dominance of CTmeta-Analyzed Lagged Regression Estimates7
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling7
Equal Precision Measurement Structural Models7
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
Analyzing Longitudinal Multirater Data with Individually Varying Time Intervals7
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
40-Year Old Unbiased Distribution Free Estimator Reliably Improves SEM Statistics for Nonnormal Data6
Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases6
Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models6
Model-Selection-Based Approaches to Identifying the Optimal Number of Factors in Multilevel Exploratory Factor Analysis6
Review of Artificial Neural Networks and Structural Equation Modeling Marketing and Consumer Research Applications.6
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis6
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
Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria5
Causal Mediation Analysis for Multivariate Longitudinal Data and Survival Outcomes5
Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis5
Bayesian Structural Equation Models of Correlation Matrices5
Selection of Loss Function in Covariance Structure Analysis: Case of the Spherical Model5
Multiple Group Alignment for Exploratory and Structural Equation Models5
On Inconsistency of the Overidentification Test for the Model-implied Instrumental Variable Approach5
A Technique for Efficient Estimation of Dynamic Structural Equation Models: A Case Study5
Effect Size Interpretation in Structural Equation Models5
Using a Cross-Classified Multilevel Mediation Model (CC-M3) with Longitudinal Data Having Changes in Cluster Membership5
Latent Interaction Modeling with Ordinal Items: Evaluating Alternative Analytic Methods and Parceling Strategies5
A Structural After Measurement Approach to Bifactor Predictive Models5
Two-Wave Models for Latent Changes: How Well Can They Recover the Parameters of the Three-Wave Growth Curve Model?5
Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models5
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