Simulation (sim’ yoo la ‘shen ) an imitation or counterfeit.
As applied to the study of research design, simulations can serve as a tool to help the teacher, evaluator, and methodologist address the complex interaction of data construction and analysis, statistical theory, and the violation of key assumptions.
What is simulation research method?
A simulation is an approximate imitation of the operation of a process or system; the act of simulating first requires a model is developed. The model represents the system itself, whereas the simulation represents its operation over time.
What is simulation study?
Simulation studies are computer experiments that involve creating data by pseudorandom sampling. The key strength of simulation studies is the ability to understand the behaviour of statistical methods because some ‘truth’ (usually some parameter/s of interest) is known from the process of generating the data.
What is simulation analysis and how is it used?
Simulation modeling is the process of creating and analyzing a digital prototype of a physical model to predict its performance in the real world. Simulation modeling is used to help designers and engineers understand whether, under what conditions, and in which ways a part could fail and what loads it can withstand.
What is the purpose of simulation?
The underlying purpose of simulation is to shed light on the underlying mechanisms that control the behavior of a system. More practically, simulation can be used to predict (forecast) the future behavior of a system, and determine what you can do to influence that future behavior.