SIMSEM

Building simulated sampling distribution for fit indices. This package will help researchers tailor fit indices cutoffs based on a priori alpha level and a priori definition of trivial model misspecification. In other words, this package will help researchers simulate data based on their actual model with their defined trivial model misspecification. Then, the fit indices from the simulated data can be used to create empirical sampling distributions and find the fit indices cutoff based on the sampling distributions. Model parameters can be specified manually or obtained from the results of data analysis. If model parameters are obtained from the results of data analysis, this approach is also called the parametric bootstrap or Monte Carlo approach. The Bollen-Stine bootstrap approach for data generation is also available, as well as creating nonnormal distribution by Gaussian copula... Power analysis. This package will help analysts find power of both parameter estimates and model..