| MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus |
73 |
| Dynamic Structural Equation Models |
67 |
| Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness? |
60 |
| Investigating the Multidimensionality of Need Fulfillment: A Bifactor Exploratory Structural Equation Modeling Representation |
27 |
| Drawing Conclusions from Cross-Lagged Relationships: Re-Considering the Role of the Time-Interval |
21 |
| Prediction from Latent Classes: A Demonstration of Different Approaches to Include Distal Outcomes in Mixture Models |
19 |
| Number of Subjects and Time Points Needed for Multilevel Time-Series Analysis: A Simulation Study of Dynamic Structural Equation Modeling |
18 |
| Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models |
17 |
| Testing Factorial Invariance With Unbalanced Samples |
16 |
| Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit |
15 |
| Revisiting the Model Size Effect in Structural Equation Modeling |
14 |
| Comparing Exploratory Structural Equation Modeling and Existing Approaches for Multiple Regression with Latent Variables |
13 |
| Examining Chi-Square Test Statistics Under Conditions of Large Model Size and Ordinal Data |
12 |
| Estimating Standardized SEM Parameters Given Nonnormal Data and Incorrect Model: Methods and Comparison |
12 |
| Evaluation of Structural Relationships in Autoregressive Cross-Lagged Models Under Longitudinal Approximate Invariance:A Bayesian Analysis |
10 |
| Fit for a Bayesian: An Evaluation of PPP and DIC for Structural Equation Modeling |
10 |
| Are Robust Standard Errors the Best Approach for Interval Estimation With Nonnormal Data in Structural Equation Modeling? |
9 |
| Application of Latent Growth Curve Analysis With Categorical Responses in Social Behavioral Research |
8 |
| A Tutorial in Bayesian Potential Outcomes Mediation Analysis |
8 |
| An Investigation of the Alignment Method With Polytomous Indicators Under Conditions of Partial Measurement Invariance |
8 |
| A Comparison of CFA, ESEM, and BSEM in Test Structure Analysis |
7 |
| A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance |
7 |
| State Space Modeling in an Open Source, Modular, Structural Equation Modeling Environment |
7 |
| A Systematic Evaluation and Comparison Between Exploratory Structural Equation Modeling and Bayesian Structural Equation Modeling |
7 |
| Recovering Predictor-Criterion Relations Using Covariate-Informed Factor Score Estimates |
7 |
| A Simulation Investigation of the Performance of Invariance Assessment Using Equivalence Testing Procedures |
6 |
| Exploratory Mediation Analysis with Many Potential Mediators |
6 |
| Random Permutation Testing Applied to Measurement Invariance Testing with Ordered-Categorical Indicators |
6 |
| The Performance of Ten Modified Rescaled Statistics as the Number of Variables Increases |
6 |
| Going Beyond Convergence in Bayesian Estimation: Why Precision Matters Too and How to Assess It |
6 |
| Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models |
5 |
| The Use of Incorrect Informative Priors in the Estimation of MIMIC Model Parameters with Small Sample Sizes |
5 |
| Model Specification Searches in Structural Equation Modeling with R |
5 |
| The Detection and Modeling of Direct Effects in Latent Class Analysis |
5 |
| Handling Missing Data in the Modeling of Intensive Longitudinal Data |
5 |
| Longitudinal Measurement Non-Invariance with Ordered-Categorical Indicators: How are the Parameters in Second-Order Latent Linear Growth Models Affected? |
5 |
| An Adaptive Bayesian Lasso Approach with Spike-and-Slab Priors to Identify Multiple Linear and Nonlinear Effects in Structural Equation Models |
5 |
| Where Have the Persons Gone? - An Illustration of Individual Score Methods in Autoregressive Panel Models |
4 |
| The Latent Variable-Autoregressive Latent Trajectory Model: A General Framework for Longitudinal Data Analysis |
4 |
| On Common Factor and Principal Component Representations of Data: Implications for Theory and for Confirmatory Replications |
4 |
| Robustness Conditions for MIIV-2SLS When the Latent Variable or Measurement Model is Structurally Misspecified |
4 |
| A Distribution Free Interval Estimate for Coefficient Alpha |
4 |
| Comparison of Frequentist and Bayesian Regularization in Structural Equation Modeling |
4 |
| A New Perspective on the Effects of Covariates in Mixture Models |
4 |
| Collapsing Categorical Variables and Measurement Invariance |
4 |
| A Simple Analytic Confidence Interval for CFI Given Nonnormal Data |
4 |
| Latent Class Modeling with A Time-To-Event Distal Outcome: A Comparison of One, Two and Three-Step Approaches |
4 |
| Evaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling |
4 |
| Analyzing Monte Carlo Simulation Studies With Classification and Regression Trees |
4 |
| Explaining Constraint Interaction: How to Interpret Estimated Model Parameters Under Alternative Scaling Methods |
4 |
