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We use simulated SN Ia samples, including both photometry and spectra, toperform the first direct validation of cosmology analysis using the SALT-IIlight curve model. This validation includes residuals from the light curvetraining process, systematic biases in SN Ia distance measurements, and thebias on the dark energy equation of state parameter w. Using the SN-analysispackage SNANA, we simulate and analyze realistic samples corresponding to thedata samples used in the SNLS3 analysis: 120 low-redshift (z < 0.1) SNe Ia, 255SDSS SNe Ia (z < 0.4), and 290 SNLS SNe Ia (z <= 1). To probe systematicuncertainties in detail, we vary the input spectral model, the model ofintrinsic scatter, and the smoothing (i.e., regularization) parameters usedduring the SALT-II model training. Using realistic intrinsic scatter modelsresults in a slight bias in the ultraviolet portion of the trained SALT-IImodel, and w biases (winput - wrecovered) ranging from -0.005 +/- 0.012 to-0.024 +/- 0.010. These biases are indistinguishable from each other withinuncertainty; the average bias on w is -0.014 +/- 0.007.

Cosmological Parameter Uncertainties from SALT-II Type Ia Supernova Light Curve Models