We present a statistical approach to Langley evaluation (SALE) leading to an improved method of calibration of an automated solar radiometer. Software was developed with the SALE method to first determine whether a day is a good calibration day and then to automatically calculate an intercept value for the solar radiometer. Results from manual processing of calibration data sets agree with those of the automated method to within the errors of each approach.