Effects of missing data methods in structural equation modeling with nonnormal longitudinal data

Keyphrases

• Partial Least Squares Structural Equation Modeling (PLS-SEM) 100%
• Longitudinal Data 100%
• Convergence Rate 100%
• Non-normality 100%
• Missing Data Methods 100%
• Missing at Random 66%
• Distribution-free 66%
• Asymptotically Distribution Free 66%
• Listwise Deletion 66%
• Robust ML 66%
• Monte Carlo Simulation 33%
• Statistical Inference 33%
• Model Fitting 33%
• Parameter Estimation 33%
• Maximization Algorithm 33%
• Small Sample Size 33%
• Distribution Shape 33%
• Maximum Likelihood Estimation 33%
• Standard Error of Estimate 33%
• Rate Parameters 33%
• Error Model 33%
• Latent Growth Modeling 33%
• Standard Error Estimation 33%
• Multicollinearity 33%
• Missing Data Techniques 33%
• Variable Sample Size 33%
• Random Conditions 33%
• Model Fit Statistics 33%
• Missing Data Mechanism 33%
• Random Recoveries 33%

Mathematics

• Nonnormality 100%
• Nonnormal Longitudinal Data 100%
• Convergence Rate 100%
• Structural Equation Modeling 100%
• Model Fit 66%
• Inferential Statistics 33%
• Fit Statistic 33%
• Standard Error Estimation 33%
• Data Distribution 33%
• Rate Parameter 33%
• Multicollinearity 33%
• Standard Error of Estimate 33%
• Distribution Shape 33%
• Missing Data Mechanism 33%
• Longitudinal Study 33%
• Parameter Estimate 33%
• Monte Carlo 33%
• Maximum Likelihood 33%