First, we define the form and the strength of the relationships
between the variables in the underlying model. This
underlying model contains a direct effect of the independent
(potential contingency) variable on the MCS variable
and a direct effect of the MCS variable on the performance
variable. Based on this specified underlying model, random
samples are generated. Our first Monte Carlo simulation
examines how often a moderation model is spuriously
accepted when the underlying model is a path model (type
I error).