MonteCarloSEM: An R Package to Simulate Data for SEM

Authors : Fatih Orçan

Pages : 704-713

View : 20 | Download : 15

Publication Date : 2021-09-05

Article Type : Research

Abstract :Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model. It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions. To run a simulation either the paid software or open source but free program such as R is need to be used. For that, researchers must have a good knowledge about the theoretical procedures. This paper introduces the R package called MonteCarloSEM. The package helps to simulate and analyze data sets for some simulation condition such as sample size and normality for a given model. Also, an example is given to show how the functions within the package works.
Keywords : Monte Carlo Simulation, Structural Equation Modeling, R package, Data generation