  Asteroseismology of solar-like oscillators often relies on the comparisons
between stellar models and stellar observations in order to determine the
properties of stars. The values of the global seismic parameters,
$\nu_\mathrm{max}$ (the frequency where the smoothed amplitude of the
oscillations peak) and $\Delta \nu$ (the large frequency separation), are
frequently used in grid-based modeling searches. However, the methods by which
$\Delta \nu$ is calculated from observed data and how $\Delta \nu$ is
calculated from stellar models are not the same. Typically for observed stars,
especially for those with low signal-to-noise data, $\Delta \nu$ is calculated
by taking the power spectrum of a power spectrum, or with autocorrelation
techniques. However, for stellar models, the actual individual mode frequencies
are calculated and the average spacing between them directly determined. In
this work we try to determine the best way to combine model frequencies in
order to obtain $\Delta \nu$ that can be compared with observations. For this
we use stars with high signal-to-noise observations from Kepler as well as
simulated TESS data of Ball et al. (2018). We find that when determining
$\Delta \nu$ from individual mode frequencies the best method is to use the
$\ell=0$ modes with either no weighting or with a Gaussian weighting around
$\nu_\mathrm{max}$.
