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.
Monte Carlo Simulation Structural Equation Modeling R package Data generation
Monte Carlo Simulation Structural Equation Modeling R package Data generation
Birincil Dil | İngilizce |
---|---|
Konular | Eğitim Üzerine Çalışmalar |
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 5 Eylül 2021 |
Gönderilme Tarihi | 2 Ekim 2020 |
Yayımlandığı Sayı | Yıl 2021 Cilt: 8 Sayı: 3 |