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Analysing Simulation Results Statistically: Does Significance Matter?
Abstract
Many papers on simulation in the social sciences come up with significance tests in which the authors describe the effect of a parameter on some simulation outcome as significant on some level of significance. This chapter discusses the question whether significance tests on simulation results are meaningful, and it argues that it is the effect size much more than the existence of the effect that matters and that it is the description of the distribution function of the stochastic process incorporated in the simulation model which is important, particularly when this distribution is far from normal — which is particularly often the case when the simulation model is nonlinear.
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