OOIR: Observatory of International Research

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 2021-04-01 to 2025-04-01.)

Article	Citations
Comparison of Three Approaches to Class Enumeration in Growth Mixture Modeling when Time Structures are Variant Across Latent Classes	73
A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes	56
Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos	53
Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples	52
Review of An Introduction to Modern Modeling Methods	49
Python Packages for Exploratory Factor Analysis	42
Equal Precision Measurement Structural Models	41
Latent Class Analysis with Measurement Invariance Testing: Simulation Study to Compare Overall Likelihood Ratio vs Residual Fit Statistics Based Model Selection	39
Review of Educational and Psychological Measurement	38
Application of Associative Discrete-Time Survival Analysis Using Latent Transition Specification	26
Analyzing Longitudinal Multirater Data with Individually Varying Time Intervals	24
Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models	24
Flexible Extensions to Structural Equation Models Using Computation Graphs	20
Testing Mean and Covariance Structures with Reweighted Least Squares	18
Review of Applied Univariate, Bivariate, and Multivariate Statistics Using Python by Daniel Denis	18
PolychoricRM: A Computationally Efficient R Function for Estimating Polychoric Correlations and their Asymptotic Covariance Matrix	16
Evaluating Causal Dominance of CTmeta-Analyzed Lagged Regression Estimates	16
Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling	16
Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person–Situation Interactions of Psychological Dynamics	16
Specification Search in Structural Equation Modeling (SEM): How Gradient Component-wise Boosting can Contribute	15
Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests	14
The Impact of “Negligible” Cross-Loadings in Investigations of Measurement Invariance with MGCFA and MGESEM	14
Effects of Multivariate Non-Normality and Missing Data on the Root Mean Square Error of Approximation	13
A Model-Based Shrinkage Target to Avoid Non-convergence in Small Sample SEM	13
Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures	12

The Impact of Non-Normality on Causal Effect Estimates in Structural Equation Models with Ordered Categorical Variables	11
Discrete-Time Survival Analysis Incorporating Time Structure in Developmental Research	11
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis	11
Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases	11
Unsupervised Model Construction in Continuous-Time	11
Investigating Structural Model Fit Evaluation	10
Assessing the Relative Importance of Predictors in Latent Regression Models	10
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation	10
Improving the Statistical Performance of Oblique Bifactor Measurement and Predictive Models: An Augmentation Approach	10
Correcting for Unreliability and Partial Invariance: A Two-Stage Path Analysis Approach	9
An Evaluation of Methods for Meta-Analytic Structural Equation Modeling	9
Semiparametric Structural Equation Models with Interval-Censored Data	9
Multilevel Dynamic Twin Modeling	9
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects	9
Testing Model Fit in Path Models with Dependent Errors Given Non-Normality, Non-Linearity and Hierarchical Data	9
Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach	9
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models	9
Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm	8
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous	8
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)	8
Latent Curve Detrending for Disaggregating Between-Person Effect and Within-Person Effect	8
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators	7
Scale-Invariance, Equivariance and Dependency of Structural Equation Models	7
A Closer Look at Random and Fixed Effects Panel Regression in Structural Equation Modeling Using Lavaan	7
An Alternative Prior for Estimation in High-Dimensional Settings	7
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling	7
SEM Approach to the Mediation Analysis of the Two-Condition Within-Subject Design	6
Precluding Interpretational Confounding in Factor Analysis with a Covariate or Outcome via Measurement and Uncertainty Preserving Parametric Modeling	6
Incorporating Measurement Error in the Dynamic Structural Equation Modeling Using a Single Indicator or Multiple Indicators	6
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 Data	6
semlbci: An R package for Forming Likelihood-Based Confidence Intervals for Parameter Estimates, Correlations, Indirect Effects, and Other Derived Parameters	6
Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis	6
Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators	6
Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data	6
Estimating the Weight Matrix in Distributionally Weighted Least Squares Estimation: An Empirical Bayesian Solution	6
Model-Selection-Based Approaches to Identifying the Optimal Number of Factors in Multilevel Exploratory Factor Analysis	5
Revisiting Savalei’s (2011) Research on Remediating Zero-Frequency Cells in Estimating Polychoric Correlations: A Data Distribution Perspective	5
`modsem` : An R Package for Estimating Latent Interactions and Quadratic Effects	5
Hierarchical Covariance Estimation Approach to Meta-Analytic Structural Equation Modeling	5
Dynamic Structural Equation Modeling with Cycles	5
The Specification and Impact of Prior Distributions for Categorical Latent Variable Models	5
Regularized 2SLS Estimation of Structural Equation Model Parameters	5
`lavaangui` : A Web-Based Graphical Interface for Specifying Lavaan Models by Drawing Path Diagrams	5
Leveraging Observation Timing Variability to Understand Intervention Effects in Panel Studies: An Empirical Illustration and Simulation Study	5
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model	5
Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM	5
Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research	4
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs	4

Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling: A Monte Carlo Simulation Study	4
Effectiveness of the Deterministic and Stochastic Bivariate Latent Change Score Models for Longitudinal Research	4
Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance	4
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix	4
Multilevel Multigroup Structural Equation Modeling In A Single-Level Framework	4
Evaluation of Goodness-of-Fit Tests in Random Intercept Cross-Lagged Panel Model: Implications for Small Samples	4
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 SEM	4
Bayesian Computation via the Gibbs Sampler for Mixture Models with Gaussian Distal Outcomes	4
Using Bounded Estimation to Avoid Nonconvergence in Small Sample Structural Equation Modeling	4
Review of Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide	4
Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations	4
Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects	4
Impact of Informative Priors on Model Fit Indices in Bayesian Confirmatory Factor Analysis	4
A Monte Carlo Simulation Study on the Influence of Unequal Group Sizes on Parameter Estimation in Multilevel Confirmatory Factor Analysis	4