Monte Carlo Data Simulation Package // Monte Carlo simulation
allows to test different conditions given to the correct
structural equation models. This package runs Monte Carlo
simulations under different conditions (such as sample size or
normality of data). Within the package data sets can be
simulated and run based on the given model. First, continuous
and normal data sets are generated based on the given model.
Later Fleishman's power method (1978) DOI:10.1007/BF02293811 is
used to add non-normality if exists. When data generation is
completed (or when generated data sets are given) model test
can also be run. Please cite as "Oran, F. (2021).
MonteCarloSEM: An R Package to Simulate Data for SEM.
International Journal of Assessment Tools in Education, 8 (3),
704-713."