Modeling the structure of molecular clouds depends upon good methods to sta
tistically compare simulations with observations in order to constrain the
models. Here we characterize a suite of hydrodynamical and magnetohydrodyna
mical (MHD) simulations of supersonic turbulence using an averaged wavelet
transform, the Delta-variance, that has been successfully used to character
ize observations. We find that, independent of numerical resolution and dis
sipation, the only models that produce scale-free, power-law Delta-variance
spectra are those with hypersonic rms Mach numbers, above M similar to 4,
while slower supersonic turbulence tend to show characteristis scales and p
roduce non-power-law spectra. Magnetic fields have only a minor influence o
n this tendency, though they tend to reduce the scale-free nature of the tu
rbulence, and increase the transfer of energy from large to small scales. T
he evolution of the characteristic length scale seen in supersonic turbulen
ce follows exactly the t(1/2) power-law predicted from recent studies of th
e kinetic energy decay rate.