This work describes the development of a statistical test created in support of ongoing verification, validation, and accreditation (VV&A) efforts for modeling and simulation (M&S) environments. The test decides between a null hypothesis of agreement between the simulation and reality, and an alternative hypothesis stating the simulation and reality do not agree. To do so, it generates a Wald-type statistic that compares the coefficients of two generalized linear models that are estimated on live test data and analogous simulated data, then determines whether any of the coefficient pairs are statistically different.